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| 2025 | 3D-FireRecon: Single-Image 3D Firearm Reconstruction Using Video-Derived Voxel Supervision. Saddam Abdulwahab, Sylvie Chambon, Simone Gasparini |
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| 2025 | A Clinical Data Lake for ADHD Research: Architecture, Integration, and Early Outcomes. Sandra García-Ponsoda, Javier Sanchis, Juan Trujillo, Alejandro Maté, Miguel A. Teruel |
| 2025 | A Commonsense Knowledge Graph for Representing Exceptions Concerning Extrinsic Factors. Shenghao Huang, Yoshihide Kato, Shigeki Matsubara |
| 2025 | A Comparative Analysis of AI-Enabled Science Education Research in China and Abroad. Gonghao Sun, Shuai Liu, Gautam Srivastava |
| 2025 | A Comparative Analysis of State-of-the-Art Text-to-3D Generation Models: Evaluation Framework and Performance Benchmarking. Prashant Srivastava, Rajiv Misra, Amit Kumar Verma |
| 2025 | A Comparative Study of AI-Driven Ontology Enrichment for Environmental Sustainability. Sonia Khetarpaul, Hajer Baazaoui Zghal, Shreya Gupta, Vidushi Bist, Devina Bhatnagar |
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| 2025 | A Complete Evaluation Method for Factual Knowledge Base on AMR. Peng Hu, Zhengtao Li, Lulu Li |
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| 2025 | A Cross-Modal Information Retrieval Framework Based on an Interactive Encoder and Re-Ranking Algorithm. Xiaoyan Zhou, Sichun Luo, Linqi Song, Hanxu Hou |
| 2025 | A Data-Driven Framework for Temporal Monitoring of Xylella fastidiosa in Almond Trees. Laura Teresa Martínez-Marquina, José Ramón Torres-Martín, José Manuel Velarde-Gestera, Juan Antonio Navas-Cortés, Miguel Román-Écija, Mihaela I. Chidean, Inmaculada Mora-Jiménez |
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| 2025 | A Decentralized Approach to Deepfake Detection Using Blockchain-Based Federated Learning in Forensic Contexts. Maryam Taeb, Shonda Bernadin, Hongmei Chi |
| 2025 | A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective. Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi |
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| 2025 | A Discourse-Aware of Entailment Reasoning for Spoken Language Understanding Model. Li Zhang, Meiling Liu, Lin Shi, Fanfan Du, Qingwang Zeng |
| 2025 | A Distributed Multi-Agent Framework for Real-Time Privacy Monitoring and Compliance in Enterprise AI Systems. Aditya Aggarwal, Nahid Farhady Ghalaty |
| 2025 | A Diversity-Optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu |
| 2025 | A Dual Knowledge Graph-Driven Computation of SDG Indicators. Wissal Benjira, Nicolas Travers, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah |
| 2025 | A Focus-Relation Alignment-Based Dynamic State Representation Method for Multi-Hop Knowledge Graph Question Answering. Zifang Tang, Yani Yang, Lanyun Xiao, Tong Li, Yiting Wang, Zhen Yang |
| 2025 | A Framework for Enhancing Variety-Seeking. Bing Ni, Cheuk-Yin Cheung, Chi-Hung Ng |
| 2025 | A Generative Syndrome Differentiation Method Based on Multi-Path Fusion of Multimodal TCM Clinical Data. Bangli Du, Yaqiang Wang, Ying Ye, Jiannong Wu, Shan Liu, Ze Chang, Yunling Zhang |
| 2025 | A Geographical Distance-Enhanced Spatial-Temporal Graph Neural Network for Bike Demand Prediction. Yifei Luo, Junyu Chen, Xi Jiang, Yu Liu, Lin Zhang |
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| 2025 | A Group Zero-Inflated Poisson Model for Automobile Near-Miss Event Risk Prediction. Xinbo Zhang, Montserrat Guillen, Lishuai Li, Xin Li, Frank Youhua Chen |
| 2025 | A High-Throughput Blockchain System for Stablecoins via Parallelizing Consensus and Execution. Yongxin Song, Hui Li, Pin-Han Ho, Min Wang, Zehua Wang, Yimin Yun, Shaowen Deng |
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| 2025 | A Knowledge-Based System for Managing Hardware Dependency and Reproducibility in Quantum Machine Learning Workflows. Thilanka Munasinghe, Kimberly A. Cornell, James A. Hendler, George Berg, Jennifer C. Wei |
| 2025 | A Knowledge-Driven Multi-Tier Architecture for Lossless Medical Image Storage and Sub-Second Retrieval in Large-Scale Neuroimaging Studies. Oguzhan Gungor, Sultan Turhan, Ozgun Pinarer, Souhila Arib |
| 2025 | A Knowledge-Graph Translation Layer for Mission-Aware Multi-Agent Path Planning in Spatiotemporal Dynamics. Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi |
| 2025 | A Large Language Model-Enabled Framework for Simulating Multi-Agent Cooperative Game. Xinrui Tao, Qiaoling Shen, Qiushuang Pu, Quyuan Wang, Fan Yang |
| 2025 | A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems. Daniel Liu, Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq |
| 2025 | A Lightweight Real-Time Framework for Skeleton-Based Action Recognition on Mobile Devices. Qiujie Zhang, Wufan Wang, Bo Zhang, Zheng Zhang, Xirong Que, Wendong Wang |
| 2025 | A Lightweight Visible and Infrared Fusion Framework for Object Detection from UAV Perspectives. Fengchi Yu, Guangshun Li, Junhua Wu |
| 2025 | A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation. Prateek Verma, Minh-Hao Van, Christopher McEnaney, Ashtyn Le, Amy R. Poe, Xintao Wu |
| 2025 | A Margin Enhanced Data Augmentation Method for Imbalanced Credit Default Prediction. Hong Zhang, Yuansheng Chen, Ximing Liu, Jinran Wu, Yichao Liao, Yayong Li |
| 2025 | A Market-Aware Real-Time Bidding Strategy Using Censored Data With Reinforcement Learning in Online Advertising. Chia Yu Huang, Hsu-Chao Lai, Yang-Che Sun, Wen-Yueh Shih, Jiun-Long Huang |
| 2025 | A Modular Approach to Music Generation: Adding Music Controls to Neural Audio Compression Models. Daniel Faronbi, Peter Traver |
| 2025 | A Multi AI Agent Framework for OT Network Traffic Assesment in 5G Based AGV Communication. Ireneusz Smolka, Piotr Gaj, Jacek Stój |
| 2025 | A Multi-Agent Architecture for Governance and Security of LLM-Based Knowledge Access. Vinícius Alboneti Aguiar, Leonardo Afonso Amorim, Artur Matos Andrade Novais, Thiago Pedroso de Jesus, Anderson da Silva Soares, Sávio Salvarino Teles de Oliveira |
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| 2025 | A Novel Graph Convolution Learning-Based Rumor Detection Approach by Exploring Bi-Directional Propagation and Diffusion. Wenxin Jiao, Haiyu Xu, Yutong Wang, Peng Xiao, Zhiwei Guo, Quyuan Wang |
| 2025 | A One-Year Spatiotemporal AIS Analysis and Visualization of Vessel Behavior in the Persian Gulf and Gulf of Oman. Franziska Zimmer, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi |
| 2025 | A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs. Davide Rucci, Sebastian Parfeniuc, Matteo Mordacchini, Emanuele Carlini, Alfredo Cuzzocrea, Patrizio Dazzi |
| 2025 | A Polytope-Centric Technique for Efficient Domain Partitioning in Function Sorting. Xiyao Li, Ying Cai, Soamar Homsi |
| 2025 | A Practical Framework for Active and Accountable Clinical Data Governance in Multi-Organization Research. Siyao Wang, Jianfeng Wang, Florian Guitton, Guanyu Tao, Chengliang Dai, Nguyen Truong, Mark Kennedy, Kai Sun |
| 2025 | A Preliminary Study on Preoperative Data Sentenceization for Postoperative Major Adverse Cardiovascular Event Prediction. Yuelin Luo, Yaqiang Wang, Xiran Peng, Ruihao Zhou, Guo Chen, Xuechao Hao, Tao Zhu |
| 2025 | A Preoperative Data Sentenceization Method for Postoperative Major Adverse Cardiovascular Event Prediction. Yuelin Luo, Yaqiang Wang, Xiran Peng, Ruihao Zhou, Guo Chen, Xuechao Hao, Tao Zhu |
| 2025 | A Privacy Set Intersection Protocol for Medical Data Security Sharing. Suzhen Cao, Lei Han, Guorui Liu, Tianhao Zhang, Xuan Zhang, Xiaodong Yang |
| 2025 | A Privacy-Preserving System for Border Crossing and Inspection. Garyfallia Papadopoulou, Alexandros Kalpazidis, Ioannis Grypiotis, Georgios Stavropoulos, Konstantinos Votis |
| 2025 | A Probabilistic Multi-Scale Temporal Framework for Quality Assessment in the IoT Sensor Network. Sun-Hye Lee, Young-Woo Kwon |
| 2025 | A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts. Masaru Dobashi, Kohei Toshimitsu, Hirotsugu Seike, Miki Kanno, Genki Horie, Noboru Koshizuka |
| 2025 | A Prototype-Based Personalized and Fair Federated Graph Learning Algorithm. Yong Li, Zhuoran Li, Yiming Zhang, Gang Liu |
| 2025 | A Quick and Exact Method for Distributed Quantile Computation. Ivan Cao, Jaromir J. Saloni, David A. G. Harrison |
| 2025 | A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression. Kaito Terada, Keiji Abe, Toshihiko Takeda, Yuji Kawamata, Ryoki Motai, Yukihiko Okada |
| 2025 | A Reward-Model-Guided Parameter Tuning Framework for Optical Cable Manufacturing Optimization. Yong Zhang, Jianzeng Song, Senjie Xia, Jianfei Yin |
| 2025 | A Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution. Sandeepa Kannangara, Arman Abrahamyan, Daniel Elias, Thomas Kilby, Nadav Dar, Luiz Pizzato, Anna Leontjeva, Dan Jermyn |
| 2025 | A Self-Adaptation Framework for Supporting Distributed Computing Based on Industry-Scale Digital Twins. Alfredo Cuzzocrea, Cristina Seceleanu, Tiberiu Seceleanu |
| 2025 | A Spatio-Temporal Approach for Identifying Microorganisms in Short Image Sequences. Antonio Rafael Sabino Parmezan, João Pedro Ribeiro da Silva, Diego Minatel, Solange O. Rezende |
| 2025 | A Stacking-Based Ensemble Deep Learning Approach to Forecast Offshore Wind Farm Power Output. Long Hoang, Umair ul Hassan |
| 2025 | A Study on Compact Data Structure-Based Compression Techniques for Grid Data. Jiyoung Kim, Hyojoong Kim |
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| 2025 | A Survey on the Role of LLMs in AI-Based Software Development: Augmentation and Latent Risks. Md Bajlur Rashid, Mohammad Shafayet Jamil Hossain, Mohammad Ishtiaque Khan, Sharaban Tahora, Aiasha Siddika, Mahmudul Islam Prakash, Sharmin Yeasmin, Hossain Shahriar |
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| 2025 | A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning. Daan Rosendal, Ana Oprescu |
| 2025 | A Theoretical Framework Bridging Attention and SVM Optimization Dynamics and Sparsity. Zhihang Li, Zhao Song, Jiale Zhao |
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| 2025 | A Trust Model in Data Flow on 5W1H. Tatsuya Teshima, Tadashi Kaji, Haruo Takeda |
| 2025 | A Trustworthy and Traceable Identity Authentication Framework Leveraging Zero-Knowledge Proofs. Jianming Lin, Hui Li, Min Wang, Niansheng Tang, Wenhui Hu, Bing Lin, Runhuai Huang, Ximing Xu, Shengyao Wu, Ying Li |
| 2025 | A Two-Stage Framework for Explainable Clustering in Public-Sector Analytics: Algorithm Selection and Post-Hoc Validation. Jorge Mauricio Fares Queiroz |
| 2025 | A Unified Blockchain Analytics Platform for Multi-Cryptocurrency Forensics with Explainable AI. Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis |
| 2025 | A Universal Scaling Law in Animal Movement: Quantifying Emergent System Properties from Big Data. Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno |
| 2025 | A Verifiable AI Framework Informed by DFFT: Integrating LLMs with Synthetic Data via MCP for Consumer Preference Estimation. Kenji Sakiyama, Aya Takeichi, Karin Matsumoto, Yusuke Taira, Setsuya Kurahashi |
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| 2025 | ABL: An LLM-Based Agentic Framework for Applying Black-Litterman Portfolio Optimization. Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan |
| 2025 | ACKE: Attribute and Context Based Knowledge Encoding. Yuxi Qin, Xinhua Zhang |
| 2025 | ACVA: An Agentic LLM-Based Framework for CVA Calculation. Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan |
| 2025 | AI Blinks, Chaos Winks: Adversarial Vulnerability of Object Detection in High-Density Urban Mobility Scenarios. Farhaan Syed, Abhi Chatterjee, Moitrayee Chatterjee, Xiwang Guo |
| 2025 | AI-Driven Log Analysis: Advances and Challenges. Yongheng Wang, Wensheng Gan, Philip S. Yu |
| 2025 | AI-Enhanced Two-Stage Clustering for COVID-19 Vaccine Discourse Analysis: Multi-Faceted Public Reaction Assessment. Takako Hashimoto, Tetsuji Kuboyama, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Takeaki Uno |
| 2025 | ALCMAEON: A Multidimensional Big Data AnaLytiCs PlatforM for Supporting Predictive Analysis and Mining over Clinical and MEdical (Big) Data ON Alzheimer's Disease Patients. Alfredo Cuzzocrea |
| 2025 | AMSP-KG: Automated Mapping of Sentences to Paths in Knowledge Graphs. Nahed Abu Zaid, Kara Schatz, Zhuocheng Mei, Rada Chirkova |
| 2025 | APSys: Disaggregated LLM Serving System with an Adaptive Parallel Strategy. Zhaochen Li, Huaxia Wang, Anfa Zhang, Zhiyong Yan, Runhuai Huang |
| 2025 | ASPEN: Authority-Based Sovereign Provenance-Enforced Network for RDF Catalog Federation. Seong-Hwan Kim, Siwoon Son, Heesun Won |
| 2025 | ATS and BEMAF-UNet for Accurate and Robust Renal Histopathology Image Segmentation. Linfeng Du, Xiang Li, Zhang Yi, Dehan Li |
| 2025 | AURORA: An Adaptive and Unsupervised Framework for Robust Anomaly Detection via Historical Model Reuse. Danlei Li, Mingyu Fan, Nirmal Nair, Akshat Bisht, Kevin I-Kai Wang |
| 2025 | AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and Reasoning. Fang-Chun Yeh, Urjitkumar Patel, Chinmay Gondhalekar |
| 2025 | Accelerating Causal Network Discovery of Alzheimer's Disease Biomarkers via Scientific Literature-Based Retrieval Augmented Generation. Xiaofan Zhou, Liangjie Huang, Pinyang Chen, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng |
| 2025 | Accelerating Fuzzy Frequent Pattern Mining on GPUs with GPU Direct Storage. Tarun Sreepada, Arjun Chakravarthi Pogaku, Uday Kiran Rage, Kazuo Goda |
| 2025 | Accelerating Graph Neural Network Inference in Heterogeneous Computing Environments. Yukun Cui, Feng Zhang, Zheng Chen, Wei Lu, Tong Li, Xinyi Zhang, Shuang Liu, Yahui Sun, Xiaoyong Du |
| 2025 | Accelerating Industrial Geological Stratification from Well Logs with Deep Learning and Statistical Constraints. Yuchen Wang, Ghali Laraqui Houssaini, Yuchen Hou, Shwetha Salimath, Sylvain Wlodarczyk, Francesca Bugiotti |
| 2025 | Accelerating Model Development for Vulnerability Detection with Federated Learning. Tomasz Skowron, Adam Mastalerz |
| 2025 | Accelerating k-means ++ Algorithm. Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Zhen Zhuang, Danyang Zhuo |
| 2025 | Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning vs. Full Fine-Tuning. Stephen C. Gravereaux, Sheikh Rabiul Islam |
| 2025 | Accurate and Low-Latency Secure BERT Inference Leveraging Homomorphic Encryption and Trusted Execution Environment. Futoshi Hashimoto, Takuya Suzuki, Shunta Sakai, Hayato Yamana |
| 2025 | Adaptation of Embedding Models to Financial Filings Via LLM Distillation. Eliot Brenner, Dominic Seyler, Manjunath Hegde, Andrei Simion, Koustuv Dasgupta, Bing Xiang |
| 2025 | AdaptiCare-RL: Adaptive Multi-Agent Collaborative Counseling Dialogues Regulated by Reinforcement Learning. Linying Su, Bin Zhu, Shouqiang Liu |
| 2025 | Adaptive Degree-Based Conformal Prediction for Individual Treatment Effect Estimation on Networked Data. Xiaofan Zhou, Jing Ma, Lu Cheng |
| 2025 | Adaptive Federated Learning with Dynamic Client Selection and Heterogeneous Data Distribution for Large-Scale IoT Applications. Jagan Mohan Reddy Danda, Murali Krishnan Kesavan, Haritha Ivsl, Pavankumar Tammineedi, Abhinay Kolli |
| 2025 | Adaptive Fraud Detection Via Meta-Learning with KAN and Ensemble Strategies. Medabalimi Ravi Kumar, Harshitha Munukoti, Mohammed Hassan Khan, Nikhil Gumasthi, Pushpak Agarwal, Saurav Singla, Satyaprasad Rao |
| 2025 | Adaptive Semi-Supervised Federated Learning with Selective Knowledge Distillation. Syeda Faiza Ahmed, Kaies Al Mahmud, Md. Saiful Islam, Lafifa Jamal |
| 2025 | Adaptive Sub-Question Generation for Visual Commonsense Reasoning. Minju Hong |
| 2025 | Adaptive-Sensorless Monitoring of Shipping Containers. Lingqing Shen, Chi Heem Wong, Misaki Mito, Arnab Chakrabarti |
| 2025 | Adjacency-Aware Deep Reinforcement Learning for Centralized Vehicle Repositioning. Chenxu Zhang, Xun Zhou, Yitian Shao, Jun Luo |
| 2025 | Adoption-Weighted Technology Function Matrix for Big Data Patent Analytics in Smart Elderly Care. Usharani Hareesh Govindarajan, Qian Gui, Gagan Narang, Alessandro Galdelli |
| 2025 | AdvQA: Query-Aware Adversarial Training for Knowledge Graph Reasoning. Ziyan Liu, Lihui Liu |
| 2025 | Adversarial Bias: Data Poisoning Attacks on Fairness. Eunice Chan, Hanghang Tong |
| 2025 | Adversarial Misdirection: Probing & Visualizing Cross-Modal Reasoning Vulnerabilities in Vision-Language Models. Tasmiah Tahsin Mayeesha, Pretom Roy Ovi, Sharad Sharma |
| 2025 | Adversarial-Based Image Encryption for Privacy Preservation: Integrating FGSM, GANs, and Chaotic Cryptography for Secure Deep Learning. Anastasiia Voitenko, Mourad Oussalah |
| 2025 | Agentic AI Framework for Low-Resource Essay Evaluation via Scoring, Explanation, and Debate. Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Surabhi Adhikari, Junaid Rashid, Jungeun Kim, Usman Naseem |
| 2025 | Agentic Moderation: Multi-Agent Design for Safer Vision-Language Models. Juan Ren, Mark Dras, Usman Naseem |
| 2025 | Algorithm Auditing for Reliable AI Authenticity Assessment of Digitized Archival Objects. Daniel F. Fonner |
| 2025 | Algorithms for Optimization and Near-Optimization of Time Series of Recommendations Based on Computational Model of Delayed Feedback Series. Ishani Chakraborty |
| 2025 | An Accountability-Based Architectural Tactic for Agent Cooperation in LLM-Based Multi-Agent Systems. Marco Becattini, Roberto Verdecchia, Enrico Vicario |
| 2025 | An Agentic Data System for Analyzing Heterogeneous Data. Guoliang Li |
| 2025 | An Agentic LLM-Based Framework for Population-Scale Mental Health Screening. Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan |
| 2025 | An Analysis of Ethical Risks and Legal Issues in AI-Empowered Data Collection of Students' Learning Activities. Chen Wu, Tongyue Xiong, SaiXing Shi, Qunxin Du, Binbin Ma |
| 2025 | An Automatic Viewpoint Switching Method to Enhance Route Comprehension in Map Spaces. Mio Kodama, Saki Inoue, Yuanyuan Wang, Yukiko Kawai, Kazutoshi Sumiya |
| 2025 | An Effective Music Emotion Recognition Approach Fusing Multi-Temporal Convolution Neural Networks and Auditory Fragment Mining Techniques. Ja-Hwung Su, Liang-Yu Chen |
| 2025 | An Empirical Investigation of Ransomware Encryption Techniques and Forensic Evidence Availability. Tjielke Nabuurs, Cristoffer Leite, Indika Kumara, Roya Nasiri, Matthijs Vos, Justin Hende |
| 2025 | An Experimental Evaluation of Mixup Ensemble Meta-Classifiers for Improving GNN-Based Node Classification. Venkata Kadiyala, Md. Saiful Islam, M. A. Hakim Newton |
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| 2025 | An Incremental Learning Approach for Micro-Credit Approval. Shiyang Hao, Yi Liu, Hanyu Yang, Junjie Liu, Jianfei Yin |
| 2025 | An Integrated Deep Learning Framework for Trading Card Grading: Design, Deployment, and Evaluation. Lutfun Nahar, Md. Saiful Islam, Mohammad Awrangjeb, Rob Verhoeve |
| 2025 | An Intelligent Feeding Method for Recirculating Aquaculture Systems Based on Visual Perception and Large Language Models. Haiyan Huang, Xueni Pan, Junchao Yang, Zhiwei Guo, Yu Shen |
| 2025 | An Investigation of Data Granularity in RAG Pipelines for Personalized Medicine. Paritosh Pandey, Xin Shirley Tian, Shaoen Wu, Linh Le |
| 2025 | An LLM-Based Multi-Modal Framework for Efficient and Realtime Detection of Sensitive Information Using Speech and Transcribed Data. Vamsi Krishna Koppala, Srijagan Tirumalavasa Adari, Akbar Siami Namin |
| 2025 | Analysis of Semantic Benchmark Data Contamination Attack for LLM-Driven Fake News Detection. Cheng Xu, M.-Tahar Kechadi |
| 2025 | Analytical Model of Factory Automated Guided Vehicles Systems by Using Multi-Agent Systems. Daimotsu Kato, Setsuya Kurahashi |
| 2025 | Analyzing #BlackLivesMatter Related Social Media Posts Published from Racially Diverse Geographic Regions in the United States. Doron Reid, Esau Hutcherson, Natasha Tonge, Paria Rezaei, Salvatore Giorgi, Sharath Chandra Guntuku, Anietie Andy |
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| 2025 | Analyzing Spatio-Temporal Graph Neural Networks to Predict Urban Flooding on Unstructured Mesh. Jaegeun Jang, Young-Woo Kwon |
| 2025 | Analyzing the Impact of Outliers in Malware Clustering. Bharath Kumar Swargam, Prajna Bhandary, Charles Nicholas |
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| 2025 | ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications. Dustin Yan, Melody Moh, Teng-Sheng Moh |
| 2025 | Application of Radial Basis Function and Deep Neural Networks to Identify Factors Underlying Missed Appointments at Hospital Outpatient Clinics. Chee-Hoe Loh, Yi-Chung Chen, Yang-Chou Juan, Chun-Yuan Wang, Wen-Huang Wang, Shao-Yuan Lin, Jia-Ching Ying |
| 2025 | AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs. Mo El-Haj, Paul Rayson |
| 2025 | Arabic OCR in the Age of Multimodal Models: A Comprehensive Comparative Evaluation. Hossam Elsafty, Farizeh Aldabbas, Rafet Sifa |
| 2025 | Arabic Prompts with English Tools: A Benchmark. Konstantin Kubrak, Ahmed El-Moselhy, Ammar Alsulami, Remaz Altuwaim, Hassan Ismail Fawaz, Faisal Alsaby |
| 2025 | ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding. Bohan Zhang, Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhuoxiao Li, Zhe Tang, Limin Yu, Jionglong Su |
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| 2025 | Archival Research Theory: Putting Smart Technology to Work for Researchers. Kenneth Thibodeau, Alex Richmond, Mario Beauchamp |
| 2025 | ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification. Akhila Kambhatla, Taminul Islam, Khaled R. Ahmed |
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| 2025 | CAR-RAG: Category-Aware Hybrid Retrieval-Augmented Generation for Hallucination Mitigation. Tatiana Petrova, Dmitrii Koriakov, Radu State |
| 2025 | CARE: Contrastive and Adversarial Representation Enhancement for Heart Failure Prediction. Yunfan Zhou, Ying Li, Xuxue Sun, Yongqi Hou, Dongquan Li, Jing Shao, Li Wang, Bo Kong |
| 2025 | CAREER1: Reasoning Models for Career Path Prediction via Reinforcement Learning. Shuzhang Cai, Ying Xie, Shaojie Tang |
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| 2025 | CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction. Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang |
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| 2025 | Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems. Arun Vignesh Malarkkan, Haoyue Bai, Dongjie Wang, Yanjie Fu |
| 2025 | Central-Guided Convolutional Dual Attention for Document-Level Event Argument Extraction. Chengdong Lin, Jianghao Lin, Dong Zhou, Yongmei Zhou, Aimin Yang |
| 2025 | Chinese NER for UAV Fault Texts via Local-Global Joint Modeling and Diffusion-Based Semantic Denoising. Zhijun Chen, Xiaoyan Gu, Hao Yang, Yi Yang |
| 2025 | Chord Latent Decoupling for Music Mashups. Yu Foon Darin Chau, Andrew Horner |
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| 2025 | ClipMPCAD: Few-Shot Anomaly Detection with LLM-Guided Prompts and Multi-Attention Fusion. Yue Han, Shengchang Wang, Yongquan Xue, Zhaoru Guo, Kaiyuan Jin, Jiao Li, Lei Wang, Yongke Li, Panpan Zheng |
| 2025 | Closing the Gaps: A Regulatory Framework for Bias-Aware AI-Enabled Cybersecurity. Asha Hemrajani, Davis Zheng Yang |
| 2025 | Cloud Learning-by-Education Node Community (C-LENC) Framework. Nick Tzavidas, Anestis Kaimakamidis, Ioannis Pitas |
| 2025 | Cloud-Based Network-V2X Platform for Improving Road Users Safety. Yasir Hassan, Yosif Mohamedain, Mohamed K. M. Fadul, Austin Harris, Mina Sartipi |
| 2025 | CloudBot: Autonomous End-to-End Cloud Deployment from Code to Infrastructure. Oluwatobiloba Odunsi, Aravind Mohan, Seraj Al Mahmud Mostafa, Jianwu Wang |
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| 2025 | Clustering Analysis of Railway Delay Incidents: A Case Study of Bangkok's Airport Rail Link. Benchamat Takhwan, Ekkarut Viyanit |
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| 2025 | Clustering-Based Network Analysis of International Scientific Collaboration. Hyewon Kim, Sungwha Hong |
| 2025 | Code2Onto: Multi-Agent System for Code-Driven Ontology Population. Alexander Graß, Jonathan Lehmkuhl, Diego Collarana, Stefan Decker, Christian Beecks |
| 2025 | CodeVul+: A Structure-Aware Framework for Cross-Repository Vulnerability Detection. Md. Fahim Sultan, Mst. Shapna Akter, Alfredo Cuzzocrea |
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| 2025 | Cognitive Error Correction Prompting for Effective Social Bias Mitigation in Large Language Models. Jieun Lee, Hyunseop Shin, Kyung-shik Shin |
| 2025 | Cognitive SOC: Evidence-Backed Narrative Generation for Security Operations with Multi-Agent LLM Architecture. Saeid Sheikhi, Panos Kostakos, Lauri Lovén |
| 2025 | Coherent Augmentation of Controversial Comments. Marina Musse, Mathieu Roche, Natalia Grabar |
| 2025 | ColNet: Collaborative Optimization in Decentralized Federated Multi-Task Learning Systems. Chao Feng, Nicolas Fazli Kohler, Zhi Wang, Weijie Niu, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller |
| 2025 | Comparative Analysis of Community Detection Algorithms and Machine Learning Approaches for Network Analysis. Oluwafolake Ayano, Kehinde Ayano |
| 2025 | Comparative Analysis of Deep Learning Architectures for Data - Driven Phenotype Prediction. Seunghan Lee, Jiho Choi, Sung Woo Byun |
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| 2025 | Comparative Evaluation of Deep Learning Models for Large-Scale Deforestation Mapping. Keyu Wan, Ranga Raju Vatsavai |
| 2025 | Competing LLM Agents in a Non-Cooperative Game of Opinion Polarisation. Amin Qasmi, Usman Naseem, Mehwish Nasim |
| 2025 | Comprehensive Evaluation of Transformer Models for Multilingual PII Detection. Divya Singh, Satoru Watanabe, Kunju Kashalikar |
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| 2025 | Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction. Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu |
| 2025 | Conflict Event Actor Prediction Using Spatial Graph Neural Networks. Niamat Zawad, Patrick T. Brandt, Latifur Khan, Vito J. D'Orazio, Javier Osorio |
| 2025 | Constructing Political Coordinates: Aggregating Over the Opposition for Diverse News Recommendation. Eamon Earl, Chen Ding, Richard Valenzano, Drai Paulen-Patterson |
| 2025 | Contamination-Aware, Taxonomy-Driven Vulnerability Classification for CPS: Evidence and Insights at Scale. Adiba Mahmud, Yasmeen Rawajfih, Hossain Shahriar, Fan Wu |
| 2025 | Content-Based Macroscopic Microbial Image Retrieval. Antonio Rafael Sabino Parmezan, Angela Patricia Mestas Muñante, Diego Minatel, Solange O. Rezende |
| 2025 | Contextual Graph Embeddings: Accounting for Data Characteristics in Heterogeneous Data Integration. Yuka Haruki, Shigeru Ishikura, Kazuya Demachi, Teruaki Hayashi |
| 2025 | Contextual Prompt Enabler for Mental Health (CPEMH): An Agent-Based LLM Framework for Prompt Design, Evaluation, and Selection for Depression Screening from Transcripts. Giuliano Lorenzoni, Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan |
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| 2025 | Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths. Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang |
| 2025 | Contrastive Self-Supervised Learning for Text Incoherence Detection. Phuong Nguyen, Tuan M. V. Le, Julian J. McAuley |
| 2025 | Copyright Infringement Issues and Mitigations in Data for Training Generative AI. Anna Arnaudo, Riccardo Coppola, Maurizio Morisio, Antonio Vetrò, Maurizio Borghi, Bryan Khan, Riccardo Raso |
| 2025 | Cost-Efficient and Accurate Legal Contract Analysis Using Multi-Tier Large Language Models Under Cloud Computing. Ran Qin |
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| 2025 | Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection. Fariz Ikhwantri, Dusica Marijan |
| 2025 | Cross-Modal Consistency Learning with Dynamic Multimodal Fusion for Fake News Detection. Shuo Yan, Yan Yang, Hu Jin |
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| 2025 | Cryptographic Provenance and AI-Generated Images. Jessica Bushey, Nicholas Rivard, Michel Barbeau |
| 2025 | Culturally Guided Query Rewriting for Korean Cultural Inference. Juhyeong Park |
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| 2025 | DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process. Mohammad Abu-Shaira, Ajita Rattani, Weishi Shi |
| 2025 | DART: Device-Native Adaptive Real-Time Training for Lifelong Learning on IoT Boards. Shamil Al-Ameen, Bharath Sudharsan, Osamah Alzacko, Roua Al-Taie, Tejal Shah, Rajiv Ranjan |
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| 2025 | DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication While Preserving Privacy. Tomoru Nakayama, Yuji Kawamata, Akira Imakura, Yukihiko Okada |
| 2025 | DEPUTY: A DPU-Based Network Offloading Architecture with Minimal CPU Involvement for Stable Network Performance. Yuchan Lee, Sooho Jang, Sookwang Lee, Shinyoung Ahn, Jaehwan Lee |
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| 2025 | DODO: Causal Structure Learning with Budgeted Interventions. Matteo Gregorini, Chiara Boldrini, Lorenzo Valerio |
| 2025 | DP-CR: Differentially Private Centroid Routing for Federated RAG in Data Spaces. Katsutoshi Amano, Hirotsugu Seike, Kazuma Hatano, Noboru Koshizuka |
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| 2025 | Dance to Music Generation Based on Residual Vector Quantization. Shuhong Lin, Moshe Zukerman, Hong Yan |
| 2025 | Data Driven Dengue Dynamics via Satellite Data. Rafi Magdon-Ismail, Thilanka Munasinghe, Jennifer C. Wei |
| 2025 | Data Stories from Insights for IT Operations. Uday Chandra Bhookya, Raja Babu, Saneet Saluja, Maitreya Natu |
| 2025 | Data Users' Tsugoes Fit Data Free Flow with Trust - Lessons by Large Language Model -. Yukio Ohsawa |
| 2025 | Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks. Yeswanth Ravichandran, Duoduo Liao, Charan Teja Kurakula |
| 2025 | Data-Driven Vision and FEM-Based Sequential Optimization for Fold-Minimized Robotic Fabric Gripping. Minh Khang Ngo, Chanhee Won, Jonghun Yoon |
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| 2025 | Detecting Privileged Documents by Ranking Connected Network Entities. Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet |
| 2025 | Development and Evaluation of an Agentic RAG with Embedded LLM-as-a Judge for Heart Failure Management: A Pilot Study. Broderick Bellard, Xinyi Celine Liu, Raima Lohani, Shaina Raza, Pedro Elkind Velmovitsky, Quynh Pham, Shumit Saha |
| 2025 | Development of Classification Model for Identifying Denied Pill: Using Sift and Cnn. Changgyun Kim, Seungwon Kim, Se Jin Kwon, Taemin Lee |
| 2025 | Developping a Smart Archival Assistant with Conversational Features and Linguistic Abilities: The Ask_ArchiLab Initiative. Basma Makhlouf Shabou, Lamia Friha, Wassila Ramli |
| 2025 | Diffusion Modeling is Volumetric Barrier Function. Yang Cao, Yubin Chen, Xiaoyu Li, Zhao Song |
| 2025 | Diffusion Models: A Systematic Review From Generative Theory to Applications in Group Activity. Fangxu Wu, Gang Zhang |
| 2025 | Diffusion for Room Impulse Response Generation. Rebecca Wroblewski, Julius O. Smith |
| 2025 | Diffusion is Your Friend in Show, Suggest and Tell. Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi |
| 2025 | Dimensionality Reduction of Mathematical Problem-Solution Embeddings From Large Language Models. Jared Pilcher, Jishan Ahmed |
| 2025 | Disinformation Analysis on Telegram: A Metadata-Centered, Privacy-Aware Dataset. Jeong-Eun Choi, Karla Schäfer, York Yannikos, Martin Steinebach |
| 2025 | Do Deeper Layers Explain Better? An LID-Based Study of Transformer Explainability. Nikolaos Roufas, Athanasios Kanavos, Ioannis Karamitsos, Khalil Al-Hussaeni, Manolis Maragoudakis |
| 2025 | Do Multimodal Large Language Models Compete with Specialized Object Detection Models? A Quantitative Benchmark. Andrew Dunton, Priya Govindarajulu, Mohammad Masum |
| 2025 | Domain-Specific Data Compression for Nextflow with COMET-FLOW. Ninon De Mecquenem, Simon Bosse, Vasilis Bountris, Fabian Lehmann, Somayeh Mohammadi, Pauline Karega, Knut Reinert, Ulf Leser |
| 2025 | Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMS. Sydney Anuyah, Mehedi Mahmud Kaushik, Hao Dai, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty |
| 2025 | Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence. Federico Giannini, Sandro D'andrea, Emanuele Della Valle |
| 2025 | Dual RAG: An Effective Graph-Based RAG Framework with Adaptively Integrating Knowledge Graphs and Chunks. Jiaming Tian, Zhenbo Fu, Hao Yuan, Qiange Wang, Chaoyi Chen, Minghe Yu, Yanfeng Zhang, Ge Yu |
| 2025 | Dual-Input Settlement Prediction with Word-Pair SHAP: Financial ADR Cases. Koutarou Tamura |
| 2025 | Dual-Space Relational Contrastive-Aware Neighbor-Hood Matching Method for Entity Alignment. Qiwen Tan, Tiezheng Nie, Derong Shen, Yue Kou |
| 2025 | Durinn: Scaling Vibe Coding Auditing. Ryan Anthony Marinelli, Victor Strandmoe |
| 2025 | DynaGABiS: Aspect-Based Sentiment Analysis Based on Dynamic Graph Grammar Modeling and Gated Attention Mechanism. Chaoyue Wang, Yuhua Qin, Yuehang Hu, Hao Zhang, Quan Guan |
| 2025 | Dynamic Knowledge Graph-Guided Deep Reinforcement Learning with Hierarchical Semantics Transformer for Portfolio Management. Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li |
| 2025 | Dynamic Multi-Species Bird Soundscape Generation with Acoustic Patterning and 3D Spatialization. Ellie L. Zhang, Duoduo Liao, Callie C. Liao |
| 2025 | Dynamic Reasoning Chains Through Depth-Specialized Mixture-of-Experts in Transformer Architectures. Sampurna Roy, Ayan Sar, Anurag Kaushish, Kanav Gupta, Tanupriya Choudhury, Abhijit Kumar |
| 2025 | Dynamic Retrieval Strategy for Summarizing Doctor-Patient Dialogues with RAG. Yiwen Shi, Xiaohua Hu |
| 2025 | Dynamic Temperature Scheduler for Knowledge Distillation. Sibgat Ul Islam, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman |
| 2025 | Dynamic Topology Optimization for Non-IID Data in Decentralized Learning. Bart Cox, Antreas Ioannou, Jérémie Decouchant |
| 2025 | Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization With Real-Time Data Integration. Sugandha Rathi, Renuka Nagpal, Gautam Srivastava, Deepti Mehrotra |
| 2025 | Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization with Real-Time Data Integration. Sugandha Rathi, Renuka Nagpal, Gautam Srivastava, Deepti Mehrotra |
| 2025 | EEG Signal Analysis for Biometric Identification Using Machine Learning. Dalila Cherifi, Ghillasse Bentayeb, AbdelDjalil Saadsaoud, Larbi Boubchir |
| 2025 | EHR Can-Flow: Contrastively Aligned Normalizing Flows for Conditional EHR Generation. Subbareddy Batreddy, Giridhar Pamisetty, Priya Verma, Ch. Sobhan Babu |
| 2025 | EICopilot: Search and Explore Enterprise Information Over Large-Scale Knowledge Graphs with LLM-Driven Agents. Yuhui Yun, Huilong Ye, Jingfeng Deng, Ruojia Li, Xinru Li, Li Li, Haoyi Xiong |
| 2025 | ESPNet: Edge-Aware Graph Representation Learning Over Analyst-Firm Bipartite Networks for Earnings Surprise Prediction. Siqi Jiang, Xinyuan Tao, Ajim Uddin, Zhi Wei, Dantong Yu |
| 2025 | Early Detection of Disaster Events in Tweet Streams via NLP-Based Distributional Shift Analysis Using Conformal Predictors and Martingale Theory. Donghun Lee, June Moh Goo |
| 2025 | Early Detection of Harmful Algal Blooms using Machine Learning. Anirban Acharya, Thilanka Munasinghe, Kevin Rose |
| 2025 | EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search Across Data Lakes. Tim Otto |
| 2025 | Edge AI and IoT-Driven SLMs: Enabling Multilingual Access and Sustainable Futures for Small and Subsistence Farmers. Chandrasekar Vuppalapati, Anitha Ilapakurti, Shruti Vuppalapati, Sharat Kedari, Santosh Kedari, Jaya Vuppalapati |
| 2025 | Edge-Optimized Voice Control with 0.26 M Parameters: Distilling 86M Adaptive Window Audio Transformer for Real-World Variable-Length Inputs. Pinze Ren, Zhen Chen, Yinjun Wu, Weiran Lin, Qilong Shi, Chao Li, Jianxin Yang |
| 2025 | EdgeAMRNet: Lightweight Automatic Modulation Recognition for OFDM-Based IoT Communications. Ruisi Li, Ren Wei Ou, Zhiyou Zhuang |
| 2025 | EdgeLA: A Label-Based Cloud-Edge Collaborative Architecture for Shortest-Path Queries. Xiubo Zhang, Xu Li, Ye Li, Zijie Zhou, Yan Li, Leong Hou U |
| 2025 | Effective Neural Author-Topic Modeling by Leveraging Pre-Trained Language Models. Yingda Shen, Da Yan, Yang Zhou |
| 2025 | Effects of Tempo and Tonality on Listener Enjoyment of Automated Pop Mashups. Anh-Dung Dinh, Xinyang Wu, Andrew Brian Horner |
| 2025 | Effects of a "Topic Diversification System" Facilitating Diverse Topic Exposure on Topic Interest and Social Media Engage Behavior. Takuya Nagura, Eizo Akiyama |
| 2025 | EffiTabu: A Static Job Scheduling Optimization Algorithm Based on Improved Tabu Search. Ruchao Cai, Yan Li, Jing Bian |
| 2025 | Efficient Adversarial Malware Defense via Trust-Based Raw Override and Confidence-Adaptive Bit-Depth Reduction. Ayush Chaudhary, Sisir Doppalpudi |
| 2025 | Efficient Longitudinal Feature Selection Via Binarized Transformation: Theory and Case Studies. Jason Orender, Jiangwen Sun, Mohammed Zubair |
| 2025 | Efficient Map Matching for Low-Sampling-Rate Trajectories Using an Edge Frequency Matrix from Historical Data. Phuoc-Loc Truong, Tuan-Thanh Ho, Huy T. Vo, Tien B. Dinh |
| 2025 | Efficient Multi-Hop Question Answering Over Knowledge Graphs via LLM Planning and Embedding-Guided Search. Manil Shrestha, Edward Kim |
| 2025 | Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware. Ashery Mbilinyi, Callum O'Riley, Julia Handra, Ashley Moller-Hansen, Jason G. Andrade, Marc Deyell, Cameron Hague, Nathaniel M. Hawkins, Kendall Ho, Jonathan Leipsic, Roger C. Tam |
| 2025 | Efficient Neuro-Symbolic Predictive Modeling for Near-Miss Accident Detection in High-Velocity Video Streams. Phuong Thi Mai Nguyen, Minh-Son Dao, Swe Nwe Nwe Htun, Koji Zettsu |
| 2025 | Efficient Resource Allocation Prediction for B5G Network Slicing Using Attention Based LSTM-DDPG. Praveen Kumar, Yasir Waseem, Anubhav Kumar, Priyadarshni, Rajiv Misra |
| 2025 | Efficient Time-Dependent Shortest Path Finding on Cargo Network. Elton Chun-Chai Li, Ziyi Liu, Ruiyuan Zhang, Sean Shing Fung Lau, Yehong Xu, Xiaofang Zhou |
| 2025 | EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data. Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary |
| 2025 | Emotion Detection in Imbalanced Conversational Data Using Transformer-Based Language Models. Bipsa Paka, Akbar Siami Namin, Faranak Abri, Keith S. Jones |
| 2025 | Emotion-Aware Music Recommendation System Based on Video Content and User Mood. Da Li, Sora Takayama, Tadahiko Kumamoto, Yukiko Kawai |
| 2025 | Emovectors: Assessing Emotional Content in Jazz Improvisations for Creativity Evaluation. Anna Jordanous |
| 2025 | Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai |
| 2025 | Empirical Likelihood for Regression with Sparsely Permuted Data. Abhisek Chakraborty |
| 2025 | Empowering Time Series Forecasting with LLM-Agents. Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng |
| 2025 | Enhanced ESG Data Processing Using Retrieval-Augmented AI. Milad Olad, Ehsan Khaksar, Robert F. Lytle, Ryan Hilimoniuk, Maryam Ghanbari, Leila Tahmooresnejad, Anteneh Ayanso |
| 2025 | Enhanced Old English NER via Morphology-Aware Analysis, Cross-Germanic Transfer, and Domain-Specific Patterns. Javier Martín Arista, Darío Metola Rodríguez, Daniel B. Morris |
| 2025 | Enhancing Cross-Domain Visual Localization via Self-Supervised Contrastive Learning. Ting-Hsuan Liu, Eric Hsueh-Chan Lu |
| 2025 | Enhancing Federated Learning Performance Through Clustering in Big Data Healthcare Scenarios. Eda Bahar, Ozgun Pinarer |
| 2025 | Enhancing Genetic Algorithms for Feature Selection with Language Models. Francisco Galuppo, Gianlucca L. Zuin, Guilherme Drummond, Denis Oliveira, Adriano Alonso Veloso |
| 2025 | Enhancing Interpretability in Self-Training with Tsetlin Machines for Mitigating Noisy Pseudo-Labels. Jiechao Gao, Rohan Kumar Yadav, Xinyuan Huang, Jie Wang |
| 2025 | Enhancing Link Prediction with Attentive-HINGE: A Vietnamese Case Study in Educational Knowledge Graphs. Nhan Vo, Nhat Truong, Tuan Bui, An Nguyen, Khang Huynh, Tho Quan, Thang Bui |
| 2025 | Enhancing Privacy and Accuracy in Federated Learning Via Local Model Ensemble and Data Shuffling. Yong Li, Zhuoran Li, Yiming Zhang, Chenxi Hao, Gaochao Xu |
| 2025 | Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training. Mingbao Yang, Zhiwen Zhao, Qing-Guo Wang, Fengbin Wu, Zijin Li, Yunfang Xu |
| 2025 | Enhancing Soil Organic Carbon Mapping by Combining Remote Sensing and Farmer-Collected Data in a Machine Learning Framework. Athanasios Askitopoulos, Dimitrios Bormpoudakis, Iason Tsardanidis, Ilias Tsoumas, Dimitra A. Loka, Christos Noulas, Paraskevi Gripari, Alexandros Tsitouras, Charalampos Kontoes |
| 2025 | Enhancing Text-to-Image Diffusion with Intent-Aware Semantic Alignment from Simple Prompts. Yangyu Liu, Mingzi Chen, Hongjun Li |
| 2025 | Enterprise Data Science Platform: A Unified Architecture for Federated Data Access. Ryoto Miyamoto, Akira Kasuga |
| 2025 | Entity-Aware Pretraining of Large Language Models for Recommendation Systems. Zhixuan Chu, Yifan Zhu |
| 2025 | Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction. Tianye Fang, Xuanshu Luo, Martin Werner |
| 2025 | Erasure-Coded Consistent Hashing for Distributed Storage. Yanzhuo Li, Leilei Yu, Jiasheng Yuan, Yunghsiang S. Han |
| 2025 | Error-Aware Text-to-SQL Generation for Clinical Trial Eligibility Criteria Querying in EHR Databases. Supriya Kottam, Sony Annem, Yingcheng Sun |
| 2025 | Evaluating Explainable AI Implementation and User Agency Across Major Social Media Platforms. Shafiq Alam, Aditya Pawade, Muhammad Sohaib Ayub, Saeed Ur Rehman, Asma Ayub |
| 2025 | Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction. Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat |
| 2025 | Evaluating the Few-Shot Performance of Large Language Models for Classifying Clinical Risk Factors in Mental Health Text. Salim Sazzed, Rafe Sumnan Azade, Farhan Noor Dehan, Md Ehashan Rabbi Pial |
| 2025 | Evaluation of Deep Learning Models for Automatic MRI Segmentation of Borderline Ovarian Tumors. Boyi Zhang, Chenwei Yan, Yan Gao, Xiangling Fu, Yu Wu, Xiaohua Wang |
| 2025 | Evaluation of GraphRAG Strategies for Efficient Information Retrieval. Asma Houimli, Zaineb Gabsi, Sabri Skhiri |
| 2025 | Evaluation of LLMs in Retrieving Food and Nutritional Context for RAG Systems. Maks Pozarnik Vavken, Matevz Ogrinc, Tome Eftimov, Barbara Korousic-Seljak |
| 2025 | Evaluation of Large Language Models for Understanding Counterfactual Reasoning in Texts. S. I. M. Adnan, Abrar Hameem, Shikha Anirban, Md. Saiful Islam, Md. Musfique Anwar |
| 2025 | Evaluation of the Effectiveness of Automatically Generated Spot Descriptions Based on Walking Route Surrounding Information. Ai Kawasaki, Da Li, Panote Siriaraya, Yukiko Kawai, Shinsuke Nakajima |
| 2025 | Event-Driven Dynamic Traffic Trajectory Generation Framework Under Exceptional Traffic Scenarios. Hyewon Song, Chang Soo Kim, Moonyoung Chung |
| 2025 | Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection. Junping Liu, Zhenhao Hu, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Yi Guo |
| 2025 | EvoRL: Evolution of Agentic Workflows Using Reinforcement Learning. Dinesh Chowdary Attota, Ying Xie |
| 2025 | Evolution-Driven Deep Meta-Learning Algorithm for Multi-Objective Combinatorial Optimization. Ruiran Yu, Yi Wu, Yuanyi Jiang |
| 2025 | Examining Moral Judgment in Aligned LLMs. Eda Atalay |
| 2025 | ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering. Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald |
| 2025 | Explainable Anomaly Detection Framework for Electronic Health Record Access Logs. Sabriye Nur Senturk, Damla Uslu, Enes Furkan Ozdemir, Reza Zare Hassanpour, Kasim Öztoprak, Yusuf Kursat Tuncel |
| 2025 | Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search. Yuya Sasaki |
| 2025 | Explainable Multimodal Ai for Oral Cancer: Integrating Image Segmentation and Large Language Models. Luigia Rizzo, Domenico Rossi, Fabiola De Marco, Alessia Auriemma Citarella, Monica Maria Lucia Sebillo, Genoveffa Tortora |
| 2025 | Explainable Retrieval and Graph Augmented Code Vulnerability Repair Recommendations. Alfred Asare Amoah, Yan Liu |
| 2025 | Explaining Clinical Outcome Predictions with Compositional Rationale Extraction Model. Weiting Gao, Riley Grossman, Yi Chen |
| 2025 | Explaining Network Intrusion Detection System with SHAP and LIME. Md Abdur Rahman, Guillermo Francia, Hossain Shahriar, Eman El-Sheikh, Alfredo Cuzzocrea, Sheikh Iqbal Ahamed |
| 2025 | Explaining Pre-Trained Language Models in the Context of Higher Education. Kevin Chovanec, John Fields, Praveen Madiraju |
| 2025 | Explaining Relation Networks for Few-Shot Learning. Andrea Fedele, Beatrice Ferrigno, Riccardo Guidotti |
| 2025 | Exploiting Meta-Learning-Based Poisoning Attacks for Graph Link Prediction. Mingchen Li, Di Zhuang, Keyu Chen, Dumindu Samaraweera, J. Morris Chang |
| 2025 | Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters. Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall |
| 2025 | Exploration of Augmentation Strategies in Multi-Modal Retrieval-Augmented Generation for the Biomedical Domain*: *A Case Study Evaluating Question Answering in Glycobiology. Primoz Kocbek, Azra Frkatovic-Hodzic, Dora Lalic, Vivian Hui, Gordan Lauc, Gregor Stiglic |
| 2025 | Exploring Barriers and Misconceptions Toward Clinical Trials on Social Media Using Large Language Models. Ching-Hua Chuan, Guohaonan Zhang, Chao Wu |
| 2025 | Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. Youngjoon Lee, Taehyun Park, Yunho Lee, Jinu Gong, Joonhyuk Kang |
| 2025 | Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review. Arpita Vats, Rahul Raja, Vinija Jain, Aman Chadha |
| 2025 | Exposing Privacy Vulnerabilities in Federated Learning: A GAN-Based Model Inversion Attack. Md Morshedul Islam, Suraj Neupane, Md. Jobair Hossain Faruk, Hossain Shahriar, Alfredo Cuzzocrea |
| 2025 | Extracting Latent Insights and Tagging Fall Injuries from Clinical Narratives Using Unsupervised Learning. Naga V. S. M. Rayabharam, Mohammad Masudur Rahman, Rahmanul Hoque, Sayed Mohsin Reza, Md Faisal Kabir |
| 2025 | Extractive Document Summarization with Graph Neural Networks and Topic Modeling in PyTorch. Ermis Arvanitis, Georgios Drakopoulos, Leonidas Theodorakopoulos, Spyros Sioutas, Phivos Mylonas |
| 2025 | FABLE: Fairness Attack in Abusive Language Detection. Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu |
| 2025 | FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis. Zhen Lu, Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding, Ping Chen |
| 2025 | FAW: Filetype and Application Aware Write Buffer Management to Reduce Write Amplification Factor. Youngbin Jin, Han Jang, Dongjun Lee, Ben Lee |
| 2025 | FEC-Real: Enhancing Financial Time Series Task with a Hybrid Encoder. Zhilu Zhang, Procheta Sen, Tong Chen, Zhengyong Jiang, Jionglong Su |
| 2025 | FLEXI: Phase-Aware Function Resizing for Heterogeneous Serverless GPU Workloads. Shruti Mohanty, Vivek M. Bhasi, Jashwant Raj Gunasekaran, Prashanth Thinakaran, Mahmut T. Kandemir, Chita R. Das |
| 2025 | Fair In-Context Learning via Latent Concept Variables. Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu |
| 2025 | False Negative Aware Learning for Cross-Modal Video-Text Retrieval: When Intra-Modal Auxiliary Signals Meet Cross-Modal Objectives. Yichao Deng, Birong Sima |
| 2025 | Fast Active-Set Thresholding Method for Nonnegative Least Squares. Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park |
| 2025 | Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem. Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber |
| 2025 | Fast and Faithful: A Lightweight Spatio-Temporal GNN for Semi-Supervised Air Quality Forecasting with Inductive Capability. Yuming Xu, Zhanchao Xu, Yaowen Liu, Xuejia Chen, Qi Chen, Mingtao Zhang, Zhuohan Ge, Haoyang Li, Chen Jason Zhang |
| 2025 | FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations. Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu |
| 2025 | Feasibility of Privacy-Preserving Entity Resolution on Confidential Healthcare Datasets Using Homomorphic Encryption. Yixiang Yao, Joseph Cecil, Praveen Angyan, Neil Bahroos, Srivatsan Ravi |
| 2025 | Feature Drift-Guided Adaptive ML Retraining: An MLOps Approach for Big Data Analytics. Md Nahid Parves Shakil, Md. Saiful Islam, Nasimul Noman, Marcella Papini |
| 2025 | Feature-Level Explainability in EEG-Based Fatigue Detection Using LASSO and Functional Connectivity. Stavros Theofanis Miloulis, Ioannis Kakkos, Christina Kaliampakou, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Ioannis A. Vezakis, Ioannis N. Kouris, Athanasios Anastasiou, George K. Matsopoulos |
| 2025 | FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff. Andy Hu, Devika Prasad, Luiz Pizzato, Nicholas Foord, Arman Abrahamyan, Anna Leontjeva, Cooper Doyle, Dan Jermyn |
| 2025 | FedAdaClip: Adaptive Clipping for Private Federated Learning. Yifan Sun, Rui Zhang, Yang Tao |
| 2025 | FedEnergy: Federated Learning for Energy Consumption Forecasting on Smart Meters using Hybrid TCN-Transformer Model. Vaneet Kour, Sudhir Kumar, Shubham Sahu, Rajiv Misra |
| 2025 | FedHAN: Robust Federated Learning Under Model Heterogeneity and Label Noise. Zaipeng Xie, Zishu Zhou, Xuanyao Jie, Xing Gao, Han Xu, Leihan Wang |
| 2025 | FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection. Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, Zhe Jiang |
| 2025 | FedPSG-CAG: Generating Participants Samples Based on Correlated Attributes Generation and Vertical Federated Imputation. Xin Liu, Hangxuan He, Ying Qian, Feng Chen, Qingjie Wei, Hongjun Zhu |
| 2025 | FedPerAda: Personalized Federated Learning via Local Adapters and Similarity-Aware Aggregation. Sileshi Nibret Zeleke, Mario A. Bochicchio |
| 2025 | FedSDE: Self-Distillation with Diffusion Enhanced for One-shot Federated Learning. Lingyu Qiu, Daniela Annunziata, Fabio Giampaolo, Francesco Piccialli |
| 2025 | Federated Continual Learning Using Concept Matching. Xiaopeng Jiang, Pritam Sen, Cristian Borcea |
| 2025 | Federated Knowledge Expansion for Collections of Heterogeneous Devices. Xiaopeng Jiang, Cristian Borcea |
| 2025 | Federated Learning for Wireless Communication Prediction - The Use Case of Internal Logistic System Based on AGV. Ireneusz Smolka, Olena Pavliuk, Rafal Cupek, Jakub Musial |
| 2025 | Federated Learning with Homomorphic Encryption for Secure Healthcare Applications. Amin Tuni Gure, Mario A. Bochicchio |
| 2025 | Federated Multi-Modal Knowledge Graph Representation Learning with Optimal Transport Alignment. Kinan Al-Attar, Ali Nosrati Firoozsalari, Rajiv Ramnath |
| 2025 | Federated Neural Architecture Search with Model-Agnostic Meta Learning. Xinyuan Huang, Jiechao Gao, Jie Wang |
| 2025 | Federated Semi-Supervised FixMatch: Enhancing CutMix for Medical Image Segmentation. Thu Thuy Le, Nhut Minh Nguyen, Nhat Truong Pham, Phuong-Nam Tran, Nguyen Doan Hieu Nguyen, Phuong Luu Vo, Balachandran Manavalan, Duc Ngoc Minh Dang |
| 2025 | Feedback-Integrated Short Answer Grading with Data Augmentation and Large Language Models. Bin Zhu, Zebiao Chen, Shouqiang Liu |
| 2025 | Few-Shot Learning with Pretrained Visual Embeddings of Eye-Tracking Patterns for Autism Detection. Mahmoud Elbattah, Federica Cilia, Gilles Dequen |
| 2025 | FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection. Daniel Berhane Araya, Duoduo Liao |
| 2025 | Fine Tuning a Multilingual Translation Model for Financial Crime Data. Ravi Kumar Mishra |
| 2025 | Fine-Tuning Large-Language-Models using Federated Learning & Blockchain. Soham Ratnaparkhi, Saeed Samet |
| 2025 | Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction. An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu |
| 2025 | FireSeg-SAM: A Dual-Module Architecture with Context-Aware FireAdapter and Domain-Bridge for Effective Fire Segmentation. Yanan Wu, Chaoqun Hong, Xuebai Zhang, Shuo Wang, Hongbin Yang |
| 2025 | Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation. Aydin Ayanzadeh, Tim Oates |
| 2025 | Forecasting Extreme Production Outages in Agile, Big Data and Machine Learning Services: Simple, Two-Parameter Software Reliability Models for Root Cause Insights. Keun Soo Yim |
| 2025 | Forecasting Option-Implied Dynamics with Google TimesFM: From Model to Market. U. Hou Lok, Zheng-Liang Lu, Jia-Hao Syu |
| 2025 | Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar |
| 2025 | FraudCenGCL: Role-Aware Graph Contrastive Learning for Low-Homophily Fraud Detection. Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee |
| 2025 | From Analog Records to Computational Research Data: Building the AI-Ready Lab Notebook. Joel Pepper, Zach Siapano, Jacob Furst, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg |
| 2025 | From Binary to Multiclass Logistic Regression for Wine Origin: A Correlation- and Cost-Aware Study in Portugal and Chile. Yihang Lu, Carola Doerr, Mathieu Sebilo |
| 2025 | From Black Box to Insight: Explainable AI for Extreme Event Preparedness. Kiana Vu, Ismet Selçuk Özer, Phung Lai, Zheng Wu, Thilanka Munasinghe, Jennifer C. Wei |
| 2025 | From Equation to MatView: ACBP Compiles Categorical Boolean Policies into Verifiable Decision Spaces with Sub Second Joins. Muteb Hail S. Al Anazi |
| 2025 | From Genetic Reads to Information Granules: Scalable Big NGS Data Cleaning with Apache Pig. Bozena Malysiak-Mrozek, Tomasz Sitek, Vaidy S. Sunderam, Boleslaw Pochopien, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek |
| 2025 | From Pixels to Profits: A Multimodal Analysis Showing Visual UGC Outperforms Traditional Metrics in Retail Performance Classification. Yubin Ham, Hyeonsu Seong, Sukbeom Chang, JooHee Oh |
| 2025 | From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening. Muskaan Chopra, Lorenz Sparrenberg, Armin Berger, Sarthak Khanna, Jan H. Terheyden, Rafet Sifa |
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| 2025 | From Reviews to Representations: Integrated Big Data Analytics on Amazon Product Metadata. Ioannis Karamitsos, Theofanis Aravanis, Andreas Kanavos |
| 2025 | From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening. Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan |
| 2025 | Functional Programming Meets Pinecone: Recommending Graph Structured Documents. Georgios Drakopoulos, Leonidas Theodorakopoulos, Spyros Sioutas, Phivos Mylonas |
| 2025 | Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation. Denica Kjorvezir, Danilo Najkov, Eva Valencic, Erika Jesenko, Barbara Korousic-Seljak, Tome Eftimov, Riste Stojanov |
| 2025 | GAN-Based Anomaly Detection for Time-Series Data Considering Privacy Protection. Hitomi Mori, Chihiro Maru, Miyuki Nakano, Masato Oguchi |
| 2025 | GFHF-Net: A 3D Global-Fine Hierarchical Fusion Network for Accurate Lung Nodule Segmentation. Feng Chen, Xiaobo Zhang, Zixuan Zhao, Jinyu Bao, Xiaoping Qiu, Na Ma |
| 2025 | GPU Native Computation of Scalable Tensor Programs. Tanvir Ahmed Khan, Leonidas Fegaras |
| 2025 | GPU-Accelerated Maximal Quasi-Clique Mining. Michael Greenbaum, Ke Fan, Wajid Manzoor, Guimu Guo |
| 2025 | GPU-Enabled Edge-based Federated Continual Learning with Resource Adaptation for Efficient Non-Stationary Visual Anomaly Detection. Alexandre Niyomugaba, Dariusz Mrozek |
| 2025 | GRAFT - Graph Retrieval Augmented Generation Fine-Tuning Approach. Moritz Busch, Giuliana Defilippis, Philipp Weiß, Christian Beecks, Stefan Decker, Diego Collarana |
| 2025 | Gamified Individual Brainstorming Support Using LLM-Based Unique Score. Rei Ohoka, Daisuke Kitayama |
| 2025 | Gaussian Process Tilted Nonparametric Density Estimation Using Fisher Divergence Score Matching. John Paisley, Wei Zhang, Brian Barr |
| 2025 | GenAI for Social Work Field Education: Client Simulation with Real-Time Feedback. James Sungarda, Hongkai Liu, Zilong Zhou, Tien-Hsuan Wu, Johnson Chun-Sing Cheung, Ben Kao |
| 2025 | Generalizing Vehicle Energy Consumption Models: Introducing the Large Energy Model Concept. Shinhoon Kim, Vishnu Raghupathy, Yongkang Liu, Keisuke Niimi, Takahiro Mochihara, Jiawei Yong |
| 2025 | Generation, Analysis and Experimental Validation of an Emotion-Enlightened Synthetic Dialogue-Dataset via Advanced LLM-Based Methodologies. Alfredo Cuzzocrea, Abderraouf Hafsaoui, Ismail Benlaredj |
| 2025 | Generation, Validation, and Selection: A Proof-by-Contradiction Reasoning Chain Data Synthesis Method for Enhancing Indirect Reasoning in Large Language Models. Runsheng Li, Kai Sun, Bin Shi, Bo Dong |
| 2025 | Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. Youngjoon Lee, Jinu Gong, Joonhyuk Kang |
| 2025 | Geometric Model Merging for Efficient and Scalable Adaptation of Large Language Models. Lilian Rage, Youri Lalain, Mathis Escriva, Martial Roberge, Paul Lemaistre, André-Louis Rochet, Gérard Réus, Bikram Pratim Bhuyan |
| 2025 | Global Conflicts Prediction via Novel Temporal-Spatial Graph Neural Networks. Wenbo Du, Latifur Khan |
| 2025 | Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series. Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2025 | Go With the Flow: Churn-Tolerant Decentralized Training of Large Language Models. Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen |
| 2025 | Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation. Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, Gabriel Spadon |
| 2025 | Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models. Haomin Qi, Chengbo Huang, Zihan Dai, Yunkai Gao |
| 2025 | Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification. Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Niki van Stein |
| 2025 | Graph Neural Network (GNN) and its Application: A State-of-the-Art Survey. Ashutosh Sharma, Amit Sharma |
| 2025 | GraphRouter: Adaptive Acyclic k-Path Counting with High Precision. Yongming Yi, Yuyang Peng, Tiejun Li, Hongxu Jin, Xinbiao Gan |
| 2025 | Green AI for Healthcare: Efficient ECG Biometrics Through Model Compression. Domenico Rossi, Alessia Auriemma Citarella, Fabiola De Marco, Genoveffa Tortora |
| 2025 | Grounding Color: Links Between Image-Based Color Features and Sensory Ratings. Yufeng Wu, Meichun Liu |
| 2025 | Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning. Obaidullah Zaland, Sajib Mistry, Monowar Bhuyan |
| 2025 | GunPT: A Privacy-Preserving Mobile Application for Firearm Classification. Alexandros Kalpazidis, Georgios Stavropoulos, Konstantinos Votis |
| 2025 | HCMCTrafficDataset: Enabling Smart Mobility Solutions for Motorcycle-Dense Cities with Limited Infrastructure. Quoc-Khanh-Tuyen Nguyen, Duy-Dong Le, Minh-Son Dao |
| 2025 | HMR-LLM: Hybrid Multimodal Sequential Recommendation with LLM Reranking. Sneha, Chen Ding |
| 2025 | HTRGN: Hybrid Temporal-Aware and Relation-Enhanced Graph Neural Network for Extrapolation Reasoning in Temporal Knowledge Graphs. Zhenxi Lu, Tingxuan Chen, Jun Long, Zidong Wang, Liu Yang |
| 2025 | H_SIG: Privacy-Preserving Auction for Big Data Based on Homomorphic Signcryption. Shamsher Ullah, Farhan Ullah, Muhammad Umar Farooq, Gautam Srivastava, Victor C. M. Leung |
| 2025 | Hallucination Detection and Reclassification Using Graph Co-Training. Ragini Kihlman, Maria Fasli |
| 2025 | Hard-Token Spatiotemporal Pre-Training. Mingxu Jiang, Jiaxing Liu, Yiyan Xu, Haoyang Hu, Liang Xie |
| 2025 | Healthcare Solutions for Noisy Clinical Text: A Federated Privacy-Preserving Approach. ABM Kamrul Islam Riad, Abdullah Al Mamun, Salma Akter, Md Abdul Barek, Maliha Zaman Nizum, Guillermo Francia, Hossain Shahriar, Alfredo Cuzzocrea, Sheikh Iqbal Ahamed |
| 2025 | Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging Via Contrastive Distillation. Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, Miao Pan |
| 2025 | Heterogeneous Graph Neural Networks with Ordinal Regression for Legal Case Retrieval. Jianrong Zhang, Xiaoyu Kang, Zhixin Shi, Min Li |
| 2025 | HiCARE-EHR: Hierarchical Conditional AutoRegressive Events for High-Fidelity EHRs. Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu |
| 2025 | HiResGAN-Climate: Conditional Physics-Aware Generative Adversarial Networks for High-Resolution Climate Scenario Generation and Downscaling. Pradeep Kumar Lodhi, Rajiv Misra, Rahul Mishra |
| 2025 | HierRisk: A Hierarchical Framework for Suicide Risk Prediction on Social Media. Zhixiang Lu, Jionglong Su |
| 2025 | Hierarchical Dual-Head Model for Suicide Risk Assessment via MentalRoBERTa. Chang Yang, Ziyi Wang, Wangfeng Tan, Zhiting Tan, Changrui Ji, Zhiming Zhou |
| 2025 | Hierarchical Fusion Network for Day-Ahead Wind Power Forecasting. Xiaodong Ouyang, Cheng Chen, Guozhen Zhang, Ke Tang |
| 2025 | Hierarchical Model Trees for Semantic Summarization and Adaptive Inference. Damien Foucard, Moneer Martini, Lukas Bender |
| 2025 | Hierarchical Resolution Transformers: A Wavelet-Inspired Architecture for Multi-Scale Language Understanding. Ayan Sar, Sampurna Roy, Kanav Gupta, Anurag Kaushish, Tanupriya Choudhury, Abhijit Kumar |
| 2025 | High Performance Fraud Detection at Scale. Nitish Garg, Neeraj Vashistha, Varun Chugh, Nana Yaw Essuman, Subigya Upadhyay |
| 2025 | High-Performance Computing for Supporting Electric Vehicle Integration into the Transport Industry. Beatriz Teixeira, Tania Tanzin Hoque, Paulo Amorim, Cátia Silva, Tiago Pinto, Hugo Paredes, Arsénio Reis, João Barroso |
| 2025 | History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa |
| 2025 | Host Bridge Level Cache in Memory-Centric Fabric and its Impacts on Disaggregated Memory System. Young Woo Kim, Hyuk-Je Kwon, SongWoo Sok, Jinmee Kim, Hag-Young Kim, Seung-Jun Cha, Kwangwon Koh, Kangho Kim |
| 2025 | How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation. Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa |
| 2025 | HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies Through Data-Driven Structural - Temporal Modeling. Minjung Park, Gyuyeon Na, Soyoun Kim, Sunyoung Moon, Hyeonjeong Cha, Sangmi Chai |
| 2025 | HyProv: Hybrid Provenance Management for Scientific Workflows. Vasilis Bountris, Lauritz Thamsen, Ulf Leser |
| 2025 | Hybrid CNN-Transformer Architecture for Object Detection and Multimodal Captioning in Educational Contexts. Leila Habibi, Madjid Maidi, Larbi Boubchir, Boubaker Daachi |
| 2025 | Hybrid Learning Paradigm for Automatic Electrocardiograph Heartbeat Anomaly Detection. Abdelhafid Zeroual, Amir Benzaoui, Larbi Boubchir |
| 2025 | Hybrid Optimized Bayesian Policy for Training Set Sampling for Recommendation Systems from Variably Imbalanced Clusters of Raw Data *: *Bayesian Hybrid Sampler. Ishani Chakraborty |
| 2025 | Hybrid Reinforcement Learning to Optimize for Physics-Constrained Spectral Analysis. Anqi Chu, Wilhelm Stork |
| 2025 | HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings. Jugal Gajjar, Kaustik Ranaware, Kamalasankari Subramaniakuppusamy, Vaibhav C. Gandhi |
| 2025 | HyperGAT: Hypergraph Attention Network for Stock Movement Prediction. Jianliang Gao, Shilin Xie, Shujin Wang, Xiaohua Tony Hu |
| 2025 | Hypergraph Structure Recommendation Model with Counterfactual Learning. Xinglin Liu, Yutong Zhang, Youhan Qi, Xin Wang, Ying Wang |
| 2025 | Hyperspectral Image Clustering Based on Weighted Spatial Denoising and Anchor Graph. Chaodie Liu, Jianxiong Luo, Cheng Chang, Qianyao Qiang, Feiping Nie |
| 2025 | IDR-RAG: An Iterative Draft-Revision Agent-Like RAG Pipeline for Efficient and Accurate Knowledge Retrieval in Large-Scale Private Domains. Xia Jiaju, Cao Lei |
| 2025 | IEEE International Conference on Big Data, BigData 2025, Macau, China, December 8-11, 2025 |
| 2025 | IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis. Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang |
| 2025 | IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response. Damodar Panigrahi, Raj Patel, Shaswata Mitra, Sudip Mittal, Shahram Rahimi |
| 2025 | IResNets: Iterative Residual Neural Networks. Shiquan He, Randy C. Paffenroth |
| 2025 | IT-GNN: Interactive Two-Stage GNN for Multi-Atlas Brain Network Analysis. Zhu Chen, Haonan Rao, Lijun Zhao, Mingliang Wang, Weiping Ding, Jiashuang Huang |
| 2025 | IVF++: A Flexible and Efficient Algorithm for Approximate Nearest Neighbor Search under Attribute Constraint. Reon Uemura, Daichi Amagata |
| 2025 | IVF-TPE: Accelerating Multi-Probe Approximate Nearest Neighbor Search with a Two-Phase Pruning Approach. Xu Li, Ke Li, Leong Hou U |
| 2025 | Identification of Hypersynchronization and Reduced Control Efficiency in Dementia Using EEG Derived Brain Functional Networks. Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu |
| 2025 | Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability. Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, Yi Guo |
| 2025 | Implementing Efficient Linear Bandits Via Sketches and Random Projections. Lilia Izri, Benoît Groz, Silviu Maniu |
| 2025 | Implicit Hypergraph Neural Network. Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari |
| 2025 | Impression Zombies: Characteristics Analysis and Classification of New Harmful Accounts on Social Media. Keito Uehara, Taichi Murayama |
| 2025 | Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification. Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | Improving Ev Customers Loyalty by Incentivizing Charging. Rajat Verma, K. R. Sheetal Kumar, Vinoth Kumar |
| 2025 | Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja |
| 2025 | Improving LLM Retrieval with GraphRAG-SF: Semantic Filtering for Graph-Based RAG Systems. Mohammad-Parsa Hosseini, Ankit Shah, Connie Miao, Wei Wei |
| 2025 | Improving Transformer-Based Multivariate Time Series Forecasting with Vector Field Embeddings and Sparse Attention. Joseph Natter, Yifan Zhang, David Hart, Rui Wu |
| 2025 | Improving Translation Quality by Selecting Better Data for LLM Fine-Tuning: A Comparative Analysis. Felipe Ribeiro Fujita de Mello, Hideyuki Takada |
| 2025 | ImpuGAN: Learning Conditional Generative Models for Robust Data Imputation. Zalish Mahmud, Anantaa Kotal, Aritran Piplai |
| 2025 | In-Context and Few-Shots Learning for Forecasting Time Series Data Based on Large Language Models. Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin |
| 2025 | Incorporating Market Risk Perception in Copper Commodity Price Forecasting. Xuefei Wu, Wei Shang, Lei Cao |
| 2025 | Index-Aware Knowledge Grounding of Retrieval-Augmented Generation in Conversational Search for Archival Diplomatics. Qihong Zhou, Binming Li, Victoria Lemieux |
| 2025 | Inferring Latent Market Forces: Evaluating LLM Detection of Gamma Exposure Patterns via Obfuscation Testing. Christopher Regan, Ying Xie |
| 2025 | Influence of Agent Social and Network Segregation on Fake News Diffusion. Yuta Kitagawa, Eizo Akiyama |
| 2025 | Information Granulation for Hierarchical Feature Selection in Detection of Anomalies in IoT Devices. Lukasz Wawrowski, Konrad Chwelatiuk, Marcin Michalak, Iwona Kostorz, Dominik Slezak, Piotr Biczyk, Blazej Adamczyk, Maksym Brzeczek |
| 2025 | Informative Instances are More Important: Hardconstrained Data Generation for Augmenting Postoperative Pulmonary Complication Prediction. Qilin Li, Yaqiang Wang, Weiyi Zhang, Guo Chen, Tao Zhu, Xuechao Hao |
| 2025 | Insight Lens: Multi-View Summarization via Retrieval-Augmented Generation for Hallucination Reduction. Nimisha Sinha, Shivank Gupta, Vaneet Kour, Mukul Misra, Rajiv Misra |
| 2025 | Integrating Hypergraph and Fourier Transform for Sequential Recommendation. Shiyu Wei, Linlin Zhang, Taozhi Wang, Jiaqi Hou, Madina Mansurova, Baurzhan Belgibayev, Kai Zhao |
| 2025 | Intent Based Knowledge Graph Aware Recommender System with Causal Inference. Qigong Bi, Yun Yang, Yongliang Ding, Peng Pu |
| 2025 | Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling. Zhiguo Zhang, Xiaoliang Ma, Daniel Schlesinger |
| 2025 | Interpretable Infrared Target Detection via Multi-Scale Robust Principle Component Analysis. Lijun Zhao, Zhanrong Zhao, Jinjing Zhang, Ruizhen Liu, Lin Li |
| 2025 | Interpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control. Ngoc-Thanh Nguyen, Astrid Marie Skålvik, Emmanouil Sylligardos, Rogardt Heldal, Patrizio Pelliccione, Paul Boniol, Themis Palpanas, Sverre Jakob Alvsvåg |
| 2025 | Interpretable and Accurate Hybrid Decision Trees with Selective Case-Based Splits. Cristiano Landi, Alessio Cascione, Riccardo Guidotti |
| 2025 | Investigating Folk Psychology in Legal Text. Andrew Gargett, Lucette Gargett |
| 2025 | Investigating National Security Risks in the Metaverse and Big Data Environments. Jodhbir Singh, Saeed Ur Rehman, Shafiq Alam, Alireza Jolfaei |
| 2025 | Investigating Robot Behavioral Biometrics Through Interaction Logs for Distinguishing Operators. Maharage Nisansala Sevwandi Perera, Franziska Zimmer, Ryosuke Kobayashi, Mhd Irvan, Rie Shigetomi Yamaguchi, Yoshihiro Tanaka |
| 2025 | Investigating the Impact of Japanese Names and Japanese Prompts on Social Bias in Hiring Decisions Using LLMs. Saneyuki Okabe, Taisei Enomoto, Mamoru Komachi, Atsushi Keyaki |
| 2025 | Irony in Emojis: A Comparative Study of Human and LLM Interpretation. Yawen Zheng, Hanjia Lyu, Jiebo Luo |
| 2025 | Iterative Weighted-Voting Approach for Adaptive Time-Series Anomaly Correction in Federated AGV Systems. Olena Pavliuk, Myroslav Mishchuk |
| 2025 | JADE: Jailbreak-Aware Dynamic Defense Enhancer for LLMs Via Reinforcement Learning. Laizhen Li, Peicheng Zhao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2025 | JobHop: A Large-Scale Dataset of Career Trajectories. Iman Johary, Raphaël Romero, Alexandru Cristian Mara, Tijl De Bie |
| 2025 | Joining the Dots: Efficient Joins Over Parent-Child Ordered Postings Lists. Karthikeyan Ramasamy, Yupeng Fu, Jinny Jingyu Wang, Philip Chan, Tejas Naik, George Zhai, Shubham Gupta, Saurabh Kathpalia, Noah Schlager, Kamyar Arbabifard, Sandhya Sainath, Kunal Veera, Vivek Muniyandi, Nimish Sheth, Yiyu Pan, Tao Gui, Frank Zhang, Kaustubh Butte, Monika Agarwal, Aparajita Pandey |
| 2025 | JustDense: Just Using Dense Instead of Sequence Mixer for Time Series Analysis. TaekHyun Park, Youngjae Lee, Daesan Park, Dohee Kim, Hyerim Bae |
| 2025 | KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models. Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat |
| 2025 | KG-SEA: A Self-Evolving Framework for Iterative Knowledge Graph Construction in Graph-RAG Systems. Pi-Wei Chen, Myroslav Mishchuk, Alexandre Niyomugaba, Jerry Chun-Wei Lin, Rafal Cupek |
| 2025 | KMD: Korean Meme Dataset and A Vision-Centric Approach for Negative Content Detection. Ayeong Seong, Junyeop Cha, Eunil Park |
| 2025 | KTD-Net: A Synergistic Diffusion Framework with Gated Knowledge-Transfer Transformer for Abdominal Multi-Organ Segmentation in CT Images. Kang Fu, Tao Jiang, Lingling Yuan, Jinkui Li, Xueyan Bai, Ruiheng Li, Marcin Grzegorzek, Hongzan Sun, Chen Li |
| 2025 | KeBugFix: Automated Program Repair Framework Based on Code Retrieval Enhancement and LLM Agent. Chaopeng Wang, Yi Sun, Chao Wang, Bo Wang, Shujie Yang, Zan Zhou, Yujiao Yuan, Lin Jia, Xu Xiang, Fei Xiao |
| 2025 | Knee Cartilage Segmentation Using Dual-Channels Graph Attention Network: Data from the Osteoarthritis Initiative. Hong Seng Gan, Hancang Mi, Shuxian Wu, Ozgur Tosun, Atakan Bayir, Özge Ertem |
| 2025 | Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling. Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia |
| 2025 | LADEN: A LLM-AideD ENsemble Model for Suicide Risk Prediction. Miao Wang |
| 2025 | LAET: A Layer-Wise Adaptive Ensemble Tuning Framework for Pretrained Language Models. Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers, Sifat Momen, Nabeel Mohammed, Shafin Rahman |
| 2025 | LLM Based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance. Subhankar Chattoraj, Karuna Pande Joshi |
| 2025 | LLM Profiling and Fine-Tuning with Limited Neighbor Information for Node Classification on Text-Attributed Graphs. Xinyi Fang, Kyumin Lee, Yichuan Li |
| 2025 | LLM and GNN Are Complementary: Distilling LLM for Multimodal Graph Learning. Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang |
| 2025 | LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora. Viviana Luccioli, Rithika Iyengar, Ryan Panley, Flora Haberkorn, Xiaoyu Ge, Leland Crane, Nitish Sinha, Seung Jung Lee |
| 2025 | LLM-Based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces. Jun Sashihara, Yukihisa Fujita, Kota Nakamura, Masahiro Kuwahara, Teruaki Hayashi |
| 2025 | LLM-Driven Effective Knowledge Tracing by Integrating Dual-Channel Difficulty. Jiahui Cen, Jianghao Lin, Dong Zhou, Weixuan Zhong, Jin Chen, Aimin Yang, Yongmei Zhou |
| 2025 | LLM-GMP: Large Language Model-Based Message Passing for Zero-Shot Learning on Graphs. Justin Carpenter, Md Athikul Islam, Edoardo Serra |
| 2025 | LLM-Modulo-Rec: Leveraging Approximate World Knowledge of LLMs to Improve eCommerce Search Ranking Under Data Paucity. Ali El Sayed, Reihaneh Gh. Roshan, Sathappan Muthiah, Nikhil Muralidhar |
| 2025 | LLM-SQL-Solver: Can LLMs Determine SQL Equivalence? Fuheng Zhao, Jiayue Chen, Lawrence Lim, Ishtiyaque Ahmad, Divyakant Agrawal, Amr El Abbadi |
| 2025 | LLM4IoT: GPT-Driven Large Language Models for Prediction of Multivariate IoT Time-Series. Berat Burak Kaya, Mehmet Ulvi Simsek, Feyza Yildirim Okay, Uraz Yavanoglu |
| 2025 | LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression. GuoZhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis |
| 2025 | LORSTransformerDRL: A Novel Deep Reinforcement Learning Framework for Intelligent Stock Trading with Chaotic Oscillators and Attention Mechanisms. Pengyue Ma, Zihang Zeng, Ziqian Lu, Raymond S. T. Lee |
| 2025 | LSM-CAD: A Lightweight and Semantic-Guided Multi-Model Algorithm for Campus Anomaly Detection. Changao Wang, Ronghuai Luo, Mei Sun, Zhiping Zhang, Peiguang Lin |
| 2025 | Labeling Copilot: A Deep Research Agent for Automated Data Curation in Computer Vision. Debargha Ganguly, Sumit Kumar, Ishwar B. Balappanawar, Weicong Chen, Shashank Kambhatla, Srinivasan Iyengar, Shivkumar Kalyanaraman, Ponnurangam Kumaraguru, Vipin Chaudhary |
| 2025 | Large Data Acquisition and Analytics at Synchrotron Radiation Facilities. Aashish Panta, Giorgio Scorzelli, Amy Ashurst Gooch, Werner Sun, Katherine S. Shanks, Suchismita Sarker, Devin Bougie, Keara Soloway, Rolf Verberg, Tracy Berman, Glenn Tarcea, John Allison, Michela Taufer, Valerio Pascucci |
| 2025 | Large Language Models for Bioinformatics: Applications and Challenges. Wenxi Zhu, Wensheng Gan, Zhenlian Qi, Philip S. Yu |
| 2025 | Large Language Models for Fault Diagnosis. Zhenlian Qi, Junyu Ren, Wensheng Gan, Philip S. Yu |
| 2025 | Large Scale Integrated Simulation of Household Vehicle Fleet Composition with Geographically Explicit Synthetic Population. Naomi Panjaitan, Ling Jin, Caitlin Brown, Tin Ho, Anna Spurlock, Thomas Wenzel, Alina Lazar, Qianmiao Chen, Andrew Bae |
| 2025 | Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps. Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique, Umar Farooq |
| 2025 | Latent Interestingness of Regions Externalized on Multiscale Trend-Reach Entropy. Yukio Ohsawa, Sae Kondo |
| 2025 | Learning Process Energy Profiles from Node-Level Power Data. Jonathan Bader, Julius Irion, Jannis Kappel, Joel Witzke, Niklas Fomin, Diellza Sherifi, Odej Kao |
| 2025 | Learning Recommendation under an Identical-Pool Protocol: Top-K Ranking on Skill Graphs with Fair, Reproducible Evaluation. Kehan Hu |
| 2025 | Learning to Re-Rank Search Results with Latent User Expectations for Ads. Xinni Yang, Da Li, Shinsuke Nakajima, Yukiko Kawai |
| 2025 | Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data. Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Terry Ferguson, Najib Ishaq, Noah M. Daniels |
| 2025 | Leveraging Brain Inspired Principles for Data Efficient Multimodal Learning. Jonathan Grienay, Marina Reyboz, Martial Mermillod, Laurent Rodriguez, Benoît Miramond |
| 2025 | Leveraging LLM Agents for Autonomous Web Penetration Testing Targeting SQL Injection Vulnerability. Phong Tran Thanh, Phuc Nguyen Le Bao, Trong-Nghia To, Van-Hau Pham, Phan The Duy |
| 2025 | Leveraging Large Language Models to Build Computationally Efficient Models for Sustainable Finance Investment Decision Support. Loris Bergeron, Jérôme François, Radu State, Jean Hilger |
| 2025 | Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery. Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet |
| 2025 | Leveraging Pre-Trained Language Models for Realistic Adversarial Attacks. Nuzaer Omar, Ademola Adesokan, Sanjay Madria |
| 2025 | Leveraging Synthetically Generated Data for Real Estate Document Classification. Tobias Deußer, Gregor Ramien, Nico Weber, Maximilian Meidinger, Max Hahnbück, Christian Bauckhage, Rafet Sifa |
| 2025 | Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation. Priya Tomar, Aditya Parikh, Christian Bauckhage, Rafet Sifa |
| 2025 | Leveraging Visitor Mobility and IoT Sensor Networks for Sustainable Waste Management. Slamet Kristanto Tirto Utomo, Hangli Ge, Noboru Koshizuka |
| 2025 | Lightweight Approach for Multi-Modal Irony Detection by Image Caption Generation. Beyza Nur Koc, Recep Firat Cekinel, Pinar Karagoz |
| 2025 | Lightweight Stream-Based On-Device Earthquake Detection: A Sparse Profile Analysis Approach. Yunhee Jeong, Aekyeung Moon, Eunsang Yu, Seung Woo Son |
| 2025 | Linking Opinion Dynamics and Emotional Expression in Online Communities: a Case Study of Covid-19 Vaccination Discourse in Japan. Qianyun Wu, Yukie Sano, Hideki Takayasu, Misako Takayasu |
| 2025 | Linking Urban Morphology and Human Activity Patterns: An Empirical Study Based on Mobility Survey Data from the Paris Region. Jianyu Fu, Zhihua Zhong, Xukang Wang, Jue Ma, Yoshihide Sekimoto |
| 2025 | LiteKG: A Lightweight LLM-Assisted Framework for Domain-Specific Knowledge Graph Construction. Yi-Mo Ho, Wei-Pin Ku, Pei-Yu Hou |
| 2025 | Local Vs Server Differential Privacy Analysis Regarding the Trade-Off Between Security and Recommendation Quality. João Gaspar, Bruno Ribeiro, José Pessoa, Diogo Martinho, Joaquim Santos, Goreti Marreiros |
| 2025 | Localizing AI Image Manipulations by Learning Generative Noise Signatures Using Diffusion Based Noise Priors. Elijah Shannon, Chaity Banerjee |
| 2025 | Lung Cancer Detection Using Fine-Tuned Data-Efficient Models. Jared Nobles, Xumin Liu |
| 2025 | MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection. Jeongeum Seok, Wook-Shin Han |
| 2025 | MASCOT: Analyzing Malware Evolution Through a Well-Curated Source Code Dataset. Bojing Li, Duo Zhong, Dharani Nadendla, Gabriel Terceros, Prajna Bhandary, Raguvir S, Charles Nicholas |
| 2025 | MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation. Zhou Yang, Shunyan Luo, Jiazhen Zhu, Fang Jin |
| 2025 | MASER: Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption. Abdullah Al Omar, Xin Yang, Euijin Choo, Omid Ardakanian |
| 2025 | MCDAN: Multi-Modal Cross-Domain Adaptation Network for Fake News Detection. Hao Yang, Qin Zhang, Yifan Zhang |
| 2025 | MEAL-RL: Population Collection and Temporal Aggregation Reinforcement Learning Strategies for Metalearning Food Donations. Esha Sharma, Lauren B. Davis, Julie S. Ivy, Min Chi |
| 2025 | MEVLERG: Medical Vision-Language Encoder for Report Generation. Songwen Pei, Yunfeng Chen, Kai Cong, Xing Jia |
| 2025 | MMGSL: Multi-Modal Graph Structure Learning for Recommendation. Yoshiyuki Sone, Yuma Dose, Takahiro Hara, Takuya Maekawa, Kazuki Shimazaki, Teppei Seguchi, Takayuki Kikuchi, Kenshiro Kato |
| 2025 | MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection. Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif |
| 2025 | MMPEP: A Multi-Modal Framework for Post-Earnings Stock Movement Prediction. Dingming Xue, Yang Ding, Kaira Sekiguchi, Yukio Ohsawa, Andi Li, Cecilia Melin |
| 2025 | MP-RAG: Multi-Paraphrasing Enhanced Retrieval-Augmented Generation. Jiae Lee, Seunghyun Yoon, Hyuk Lim |
| 2025 | MPC-XGB: Privacy-Preserving Vertical Federated XGBoost via Secure Multiparty Computation. Asma Ramay, Estrid He, Mengmeng Yang, Tabinda Sarwar, Xinqian Wang, Xun Yi |
| 2025 | Machine Learning for Predicting Clinical Outcomes of Metformin Dosage on Patient Health. Niraj Dineshkumar Bhagchandani, Sanjay Kumar Singh, Rajiv Misra |
| 2025 | Machine Learning on Big Data for Crime Trend Analytics and Prediction. M. Akroma E. Ansah, Carson K. Leung, Omodesayo A. Owolabi, Alfredo Cuzzocrea |
| 2025 | Machine Learning on Big Economic Data for Predictive Financial Analytics. Abhinav Jain, Carson K. Leung, Thanh Trung Jack Nguyen, Jing Xiang Ong, Alfredo Cuzzocrea |
| 2025 | MambaGuard-MOO: Multi-Objective Safe Drug Recommendation with Contrastive Learning. Hongtao Xie, Shengxin Zhu |
| 2025 | Mapping Discrimination in LLM-Driven HR Systems. Eldar Jalilzade, Maksim Kalameyets, Shrikant Malviya, Rebecca Owens, Stamos Katsigiannis, Ben Farrand, Lei Shi |
| 2025 | Masked Graph-Based Cognitive Diagnosis for Intelligent Tutoring Systems. Kehao Li, Zhiyu Chen, Jing Xiao |
| 2025 | Measuring Geographic Preferences in Social Networks Beyond Population Bias. Keitaro Takayanagi, Shiori Hironaka, Kazuyuki Shudo |
| 2025 | Measuring Onion Website Discovery and Tor Users' Interests with Honeypots. Arttu Paju, Waris Abdullah, Juha Nurmi |
| 2025 | Med-Align: Zero-Shot Histopathological Image Classification via Adaptive Multimodal Feature Alignment. Xueyan Bai, Tao Jiang, Lingling Yuan, Ruiheng Li, Jinkui Li, Kang Fu, Xiaoyan Li, Chen Li |
| 2025 | Med-CoT: Towards Proactive Clinical Agentic LLM. Gunnar Von Bergen, Jingyi Huang, Maria Kunigk-Bakalar, Liran Ma, Yang Zhang |
| 2025 | Medical Incident Causal Factors and Preventive Measures Generation Using Tag-Based Example Selection in Few-Shot Learning. Yuna Haseyama, Tomoki Ito, Hiroki Sakaji, Itsuki Noda |
| 2025 | Medical Incident Reports Analysis. Tomohiro Kimura, Shusaku Tsumoto |
| 2025 | Memory Instance Gated Transformer Reinforcement Learning for Portfolio Management. Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li |
| 2025 | Memory-Augmented Forecasting: Scalability and Generalization Across Temporal Domains. Aditi Gautam, Manikandan Ravikiran, Fatma Sena Ekiz |
| 2025 | Memory-Aware Query Optimization. Haopu Dong, Zirui Hu, Chenhao Lu, Siyang Weng, Qingsong Ruan, Rong Zhang |
| 2025 | Met-Diff: A Diffusion Model-Based with Multi-Organ Segmentation in Abdominal CT of Metabolic Syndrome Patients. Jinkui Li, Tao Jiang, Kang Fu, Ruiheng Li, Xueyan Bai, Marcin Grzegorzek, Hongzan Sun, Chen Li |
| 2025 | Meta-Learning with Adaptive Borrowing for High Dimensional Moment Condition Model. Abhisek Chakraborty, Anirban Chakraborty |
| 2025 | MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems. Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar |
| 2025 | Meteo-DGN: A Meteorology Dynamic Graph Network for Urban-Scale Downscaling. Ziyan Huang, Qian Tao, Huiwang Peng, Wentao Zhang, Qiong Li |
| 2025 | Mind the Shift: A Study on Transfer Learning and Domain Adaptation in Vehicular Intrusion Detection. Jakob Richard Proos, Giuseppe Cascavilla, Cristoffer Leite, Alfredo Cuzzocrea |
| 2025 | Minimizing Delays in Opportunity Charging for Electric Bus Fleets. K. R. Sheetal Kumar, Akhash Vellandurai, Abhishek Kumar, Vinoth Kumar, Kingshuk Banerjee |
| 2025 | Minimizing Inequality in Urban Water: ST-GNN Forecasting and Differentiable Optimization. Aswini Ghosh, Rajiv Misra |
| 2025 | Mitigating Privacy Issues in RAG through Causal Disentanglement. Junyi Wang, Songwen Pei, Kai Cong, Joel Rodrigues |
| 2025 | Mix-Of-Overlap: Enhancing Retrieval-Augmented Generation with Multi-Overlap Chunking. Mahdi Ben Ameur, Mohamed Ali Fathallah, Takoua Abdellatif |
| 2025 | MixCoT-SQL: A User-Adaptive Text-to-SQL Framework Based on Mixed Chain-of-Thought and Result Reflection Refinement. Dingwei Liu, Yan Wang, Yuxuan Tian, Zhiqiang Zeng, Su Liu, Weipeng Zheng, Yufeng Xiao |
| 2025 | Mixture-of-Experts Liquid Financial Mamba Framework for Portfolio Management Based on Deep Reinforcement Learning. Fengchen Gu, Huijia Wang, Zhengyong Jiang, Angel F. García-Fernández, Jionglong Su, Huakang Li |
| 2025 | Mobility Data Asset Valuation for Spatial Environment Design. Zhenggui Xiang, Guanting Chen |
| 2025 | Modality-Aware Multimodal Fusion for Sleep Event Classification. Kevin Hayes, Yingcheng Sun |
| 2025 | Modeling Autonomous Mobility Demand Between Islands: A Hybrid Framework Integrating Cyberspace and Physical Constraints. Jun Nakamura, Sanetake Nagayoshi, Tomohiro Kuroda |
| 2025 | Modeling Frequency Correlation to Achieve Better Long-Term Series Forecasting. Yuejing Zhai, Yiping Li, Wuman Luo |
| 2025 | Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence. Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran, Md Mahbub Alam, Floris Goerlandt, Ronald Pelot |
| 2025 | Modeling Romanized Hindi and Bengali: Dataset Creation and Multilingual LLM Integration. Kanchon Gharami, Quazi Sarwar Muhtaseem, Deepti Gupta, Lavanya Elluri, Shafika Showkat Moni |
| 2025 | Multi Modal and Self Learning Agents in Finance. Ajay Yadav, Mohammad Luqman, Akshar Prabhu Desai, Himaanshu Gauba, Pranjul Yadav |
| 2025 | Multi-Agent Debate for Content Moderation with Dynamic Group Arbitration. Yuzhou Jiang, Liang Wang, Yuwei Lou, XianPing Tao, Hao Hu |
| 2025 | Multi-Agent Intelligence for e-Tourism: Lecce use Case and Enabling Digital Twins. Veronica Cretì, Chiara Rucco, Alessandro Stefano, Francesca Zampino, Motaz Saad, Antonella Longo, Alì Aghazadeh Ardebili |
| 2025 | Multi-Agent LLM Framework for Formulaic Alpha Generation and Selection in Quantitative Trading. Qizhao Chen, Hiroaki Kawashima |
| 2025 | Multi-Behavior Recommendation System Based on Self-Attention and Contrastive Learning. Yewei Hu, Guangshun Li, Junhua Wu |
| 2025 | Multi-Feature Fusion Strategies for Enhancing Knowledge Graph Embedding. Chenchen Liu, Fei Pu, Bailin Yang, Lirong Cheng |
| 2025 | Multi-Identifier Leveraging Text-Visual Construction for Multimodal Generative Recommendation. Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng |
| 2025 | Multi-Layer Feature Fusion for Detecting AI-Generated Code in Programming Education. Siqi Guo, Zhihao Gavin Tang |
| 2025 | Multi-Modal Sequential Prediction of Suicide Risk on Social Media via Feature Fusion and Ordinal Classification. Rui Zeng, Liyan Chen, Rui Zhang, Ye Li |
| 2025 | Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa |
| 2025 | Multi-Planners in Plan-and-Solve Prompting for Medical Reasoning. Yucheng Wang, Alex Li, Jeremy Blum, Hien Nguyen |
| 2025 | Multi-Scale Dual-VAE with Extreme-Aware Optimization for Flood Early Warning. DaeGwang Kim, Young-Woo Kwon |
| 2025 | Multi-Timescale Spiking Neural Network with Dual-Hemispheric Fusion and Coupling for Brain Disorder Diagnosis. Yingying Zhou, Shaolong Wei, Zhanmo Mi, Mingliang Wang, Weiping Ding, Jiashuang Huang |
| 2025 | Multi-View Kernel Geometric Mean Metric Learning. Jianjun He, Feng Qiao, Ruirui Zheng, Yu Zhou, Xinshu Cui, Peng Xu |
| 2025 | Multi-View Partial Label Metric Learning. Jianjun He, Jinghua Li, Jianhong Sun, Ruirui Zheng, Yu Zhou, Peng Xu |
| 2025 | Multi-granular Negative Sampling Framework for Multi-modal Knowledge Graph Completion. Yunhao Xu, Ruishen Liu, Xiangfeng Luo |
| 2025 | MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation Framework for Financial Question Answering. Chinmay Gondhalekar, Urjitkumar Patel, Fang-Chun Yeh |
| 2025 | MultiMentalRoBERTa: A Fine-Tuned Multiclass Classifier for Mental Health Disorder. K. M. Sajjadul Islam, John Fields, Praveen Madiraju |
| 2025 | MultiNFT: A Multimodal Dataset for Non-Fungible Tokens Market Analysis. Shuying Liu, Bowei Chen, Cathy Yi-Hsuan Chen, Yu Zheng, Jun Wang |
| 2025 | Multidimensional Big Healthcare Data Generation for Alzheimer Disease Early Prevention and Analytics: The HCRS Algorithm. Alfredo Cuzzocrea |
| 2025 | Multimodal Fusion of Chest Radiographs and Text Reports for Heart Failure Detection. Arun Rajaratnam, Zois Boukouvalas |
| 2025 | MusicAIR: A Multimodal AI Music Generation Framework Powered by an Algorithm-Driven Core. Callie C. Liao, Duoduo Liao, Ellie L. Zhang |
| 2025 | Musically-Inspired Colored Pitch Features for Emotion and Speaker Recognition in Speech. Xingfeng Li, Jiahao Kang |
| 2025 | Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance. Mahdi Naser-Moghadasi, Faezeh Ghaderi |
| 2025 | Neural Motif Recombination: A Transformer-Based Framework for Cross-Genre Music Generation. Sanjay Majumder |
| 2025 | Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments. Shivani Tripathi, Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Rajiv Misra, T. N. Singh |
| 2025 | NeuroScope: Trigger-Induced Activation Analysis for Backdoor Detection in Federated Learning. Kang Yang, Chungen Xu, Lei Xu, Pan Zhang, Rui Zhang |
| 2025 | NimbleLabs: Accelerating Healthcare AI Development Through Agentic AI. Soorya Ram Shimgekar, Abhay Goyal, Shayan Vassef, Koustuv Saha, Christian Poellabauer, Xavier Vautier, Pi Zonooz, Navin Kumar |
| 2025 | Numbers of Bids Placed Under Approximate DGS Algorithms with Different Tie-Breaking Rules: A Subject Experiment of Multi-Item Auctions. Yoichi Izunaga, Satoshi Takahashi, Naoki Watanabe |
| 2025 | NutriLite: Balancing Accuracy and Efficiency in Food Nutrient Estimation with Small Language Models. Kemalcan Bora |
| 2025 | OmniSenseNet: A Position-Specific Strategy for Complex Cell Image Segmentation. Guanglongyu Huo, Yuhan Zhang |
| 2025 | On Efficient Computation of Generalized Distance Oracles. Zhao Song, Jason Zhang, Jiahao Zhang |
| 2025 | One-Class Outlier Detection of Label-Induced Ambiguity in Knowledge Graphs. Bara Diop, Cheikh Talibouya Diop, Lamine Diop |
| 2025 | One-Step Generation in Traffic Forecasting with Flow-Based Models. Pengnan Chi, Xiaoliang Ma |
| 2025 | Online Multi-Modal Root Cause Identification in Microservice Systems. Lecheng Zheng, Zhengzhang Chen, Haifeng Chen |
| 2025 | Ontologies Applied to Archival Records: a Preliminary Proposal for Information Retrieval. Thiago Henrique Bragato Barros, Rafael Rodrigo do Carmo Batista, Frances Ryan, Maurício Coelho da Silva, David Haynes |
| 2025 | Ontology for Newborn Screening: Towards a Knowledge Graph for Sickle Cell Disease. Kpangni Alex Jérémie Koua, Bara Diop, Mamadou Diop, Cheikh Talibouya Diop, Lamine Diop |
| 2025 | Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. Chengshuai Zhao, Garima Agrawal, Fan Zhang, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu |
| 2025 | Ontology-Driven Multimodal Framework for Automated Interpretation and Description of Architecture Diagrams. Sakthivel Thangaraj, Neelesh Kumar Shukla, Viji Krishnamurthy |
| 2025 | Operationalizing Context: Contextual Integrity, Archival Diplomatics, and Knowledge Graphs. Jim Suderman, Frédéric Simard, Nicholas Rivard, Iori Khuhro, Erin Gilmore, Michel Barbeau, Darra Hofman, Mario Beauchamp |
| 2025 | Operationalizing Structured Direction and Planning for Cyber Threat Intelligence: A Practical Implementation for the Brazilian Financial System. Pedro Henrique Silva Gontijo, Robson de Oliveira Albuquerque, João José Costa Gondim |
| 2025 | Optimization of Deep Learning Models for Dynamic Market Behavior Prediction. Shenghan Zhao, Yuzhen Lin, Ximeng Yang, Qiaochu Lu, Haozhong Xue, Gaozhe Jiang |
| 2025 | Optimizing Agentic Code Generation: Cost Efficiency, Observability and Orchestration. Alex Kaplunovich |
| 2025 | Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling. Jonathan Bader, Edgar Blumenthal, Marten Eckardt, Justus Krebs, Joel Witzke, Xemena Wysokinska, Haci Ismail Aslan, Odej Kao |
| 2025 | Optimizing Power-Accuracy Tradeoff in Air Pollution Forecasting for Edge-Based Quantized Models. Sudhir Kumar, Vaneet Kour, Shubham Sahu, Vaishnavi Choudha, Rajiv Misra |
| 2025 | Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings. Aysenur Kulunk, Berk Taskin, M. Furkan Eseoglu, H. Bahadir Sahin |
| 2025 | Optimizing Service Allocation in Mobile Edge Computing with Genetic Algorithm. Priyadarshni, Shivani Tripathi, Kaushik Saha, Praveen Kumar, Rajiv Misra |
| 2025 | Option Pricing based on the DeepOption Framework with Arbitrage-Free Constraints and an Enhanced Transformer Model. Zhaoju Wang, Qiao Pan, Fei Huang |
| 2025 | Orchestrate-on-Graph: A Multi-Agent Hybrid Retrieval and Reasoning Framework for Reliable LLM Reasoning. Bohan Cao, Gewei Lu, Liping Shen |
| 2025 | Oversampling-Enhanced Classification Models for Handling Imbalanced Recurrent Tuberculosis Data from Uttarakhand. Ankit Rai, Durga Toshniwal, Ruchi Dua, Shivam Varfa |
| 2025 | P Md. Fahim Sultan, Mst. Shapna Akter, Alfredo Cuzzocrea |
| 2025 | P2S-XR: Predictive and Scalable Scheduling for Concurrent Multi-User XR Services. Yaru Zhao, Shoulu Hou, Binyang Li, Yakun Huang |
| 2025 | PACE: Policy Adaptation for Cybersecurity Events Through Formal Verification of LLM-Generated Firewall Policies. Mahya Samdaliri, Zhihao Yao |
| 2025 | PARDES: Automatic Generation of Descriptive Terms for Logical Units in Historical Handwritten Collections. Josepa Raventós-Pajares, Joan-Andreu Sánchez, Enrique Vidal |
| 2025 | PHCL: Prescription Recommendation via Hypergraph-Enhanced Contrastive Learning. Meixi Lu, Long Tan, Yeran Wang |
| 2025 | PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning. Xiaodi Li, Dingcheng Li, Rujun Gao, Mahmoud Zamani, Feng Mi, Latifur Khan |
| 2025 | PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning. Heng Hao, Wenjun Hu, Oxana Verkholyak, Davoud Ataee Tarzanagh, Baruch Gutow, Sima Didari, Masoud Faraki, Hankyu Moon, Seungjai Min |
| 2025 | PanicleVis: A Multidimensional and Multilevel Graph-Based Visualization System for Spatiotemporal Panicle Phenotyping Data. Xinyan Xie, Jianxin Sun, Warren Z. Huang, Harkamal Walia, Hongfeng Yu |
| 2025 | ParaCUP-NBR: Next-basket Recommendation via Parallel Modeling of Compatibility and User Preference with Multi-attribute Items. Jianfu Li, Yuying Yang |
| 2025 | ParaGrapher: A Parallel and Distributed Graph Loading Library for Large-Scale Compressed Graphs. Mohsen Koohi Esfahani, Syed Ibtisam Tauhidi, Marco D'Antonio, Thai Son Mai, Hans Vandierendonck |
| 2025 | Passenger Trust and Driver Workload Evaluation via Heart Rate Variability in Bus Services. Hiroyasu Ando, Ryunosuke Fukuzaki, Morimitsu Kurino, Naoko Matsuda, Takahiro Noguchi |
| 2025 | Passive Monitoring-Based Security Barometer: Determining Trust Levels and User Classification Through Risk Assessment. Muhammet Furkan Atalay, Kasim Öztoprak, Yusuf Kursat Tuncel |
| 2025 | Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns. Hasaan Ahmed, Huong Mai Nguyen, Amirhossein Ghaffari, Ekaterina Gilman, Lauri Lovén |
| 2025 | Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization. Maximos Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis, Konstantinos-Theodoros Tsamis, Vassilis Katsouros, Emilios Cambouropoulos |
| 2025 | Pedestrian Environment Assessment Considering Street Impressions During Normal and Evacuation Times. Takuya OKi, Chisato Otsuka |
| 2025 | People-Flow Estimation from Footstep Sounds: A Feasibility Study via Simulation Using Large-Scale Pedestrian Trajectories. Yu Kitano, Nobutaka Ono |
| 2025 | Performance Analysis of Open-Source LLMs for Visual Agricultural Intelligence. Arijit Ghosh, Anindya Bijoy Das |
| 2025 | Performance Gap-Aware Distributionally Robust Optimization for Fair Deep Knowledge Tracing. Han Kyul Kim, Stephen Lu |
| 2025 | Personalized Federated Learning with Shared Feature Tables. Yong Li, Yiming Wang, Han Gao, Shuo Yang, Yongxin Jiang |
| 2025 | Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan |
| 2025 | PersonalizedHD: Hyperdimensional Online Learning with Scalable Personalization and Memory-Efficient Replay. Shinhyoung Jang, Junyoung Lee, Seohyun Kim, Hyunsei Lee, Ilhong Suh, Yeseong Kim |
| 2025 | Perturbation-Based Vertical Federated Frequent Itemset Mining. Tzung-Pei Hong, You-Da Chuang, Yu-Chuan Tsai, Shu-Min Li, Wen-Yang Lin |
| 2025 | Phase-Aware Spectrogram Fusion with Dual-Stream Residual Networks for Underwater Acoustic Recognition. Xingfeng Li, Feifei Yu |
| 2025 | PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection. Wenhao Li, Selvakumar Manickam, Yung-Wey Chong, Shankar Karuppayah |
| 2025 | Phishing Defense: An ML-Based URL Detection System with Real-World Deployment. ABM Kamrul Islam Riad, Md Reazul Hassan Rizvi, Abdullah Al Mamun, Shakil Miah, Md Abdul Barek, Yasmeen Rawajfih, Muhammad Umair Khan, Hossain Shahriar, Alfredo Cuzzocrea |
| 2025 | Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction. Pranjal Patil, Anli Ji, Berkay Aydin |
| 2025 | Physics-Guided Gradient Boosting Under Distributed PDE Constraints: A Unified Theoretical Framework for Scalable Spatiotemporal Learning. David Li, Angela Li |
| 2025 | Physics-Guided Multimodal Neural Networks for Big Data - Driven Magnetic Component Design. Jin Zhang, Cong Yao, Wengen Li, Qiyou Xie, Qiuzhen Wan, Chunye Gong |
| 2025 | Physics-Guided Neural Network-Based Shaft Power Prediction for Vessels. Dogan Altan, Hamza Haruna Mohammed, Glenn Terje Lines, Dusica Marijan, Arnbjørn Maressa |
| 2025 | Physics-Informed Machine Learning for Detecting Stealthy Long-Term Cyber Attacks on Wind Energy Systems. Suyash Kalwani, Md Badrul Hasan, Zhiyuan Chen, Meilin Yu |
| 2025 | Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-Based Approach. Hamza Haruna Mohammed, Dusica Marijan, Arnbjørn Maressa |
| 2025 | Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan. Xiaojie Yang, Dizhi Huang, Hangli Ge, Masahiro Sano, Takeaki Ohdake, Kazuma Hatano, Noboru Koshizuka |
| 2025 | Plan-Execute-Generate-Judge: A Self Verifying Multi Agent LLM Framework for Complex NoSQL Querying. Alex Kaplunovich |
| 2025 | PoWER-M: Prediction of Writing-Based Emotional Risk with Mental-Adaptive Multi-Modal Learning. Li-Fang Wang, Ping-Cheng Chuang, Man-Ho Li, Cheng-Te Li |
| 2025 | Polypersona: Persona-Grounded LLM for Synthetic Survey Responses. Tejaswani Dash, Dinesh Karri, Anudeep Vurity, Gautam Datla, Tazeem Ahmad, Saima Rafi, Rohith Tangudu |
| 2025 | Position Paper: An Argument for Applications of Reinforcement in Image Segmentation to Mitigate Adversarial Attacks. Ryan Marinelli, Markus Lammle, Robert Andrew Chetwyn |
| 2025 | Post-Quantum Secure Peer-to-Peer VPN Protocol. Priyanya Kumari, Shreya Yadav, Rajiv Misra |
| 2025 | Practicing HTAP in the Cloud: Evaluating TiDB Against OLTP and OLAP Systems. Manvi Kishore, Jin Soung Yoo |
| 2025 | Predicting Cloud Workload Job Arrival Rates Using a Diffusion Autoformer Model. Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Shivani Tripathi, Rajiv Misra, T. N. Singh |
| 2025 | Predicting Machine Learning Training Costs with MLPerf Benchmarks. Jimin Kim, Young Yoon |
| 2025 | Prediction of Long COVID and Mortality Among Patients With Substance use Disorder. Jiawei Wu, K. M. Sajjadul Islam, Praveen Madiraju |
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| 2025 | Preserving BioMicroMetric Information in Deep Learning Based Cell Migration Analysis. Abdullah Mahmood, Timothé Bentaboulet, Sophie Féréol, Régis Fournier, Amine Naït-Ali |
| 2025 | Preserving Macedonian Culinary Heritage: Fine-Tuning a Large Language Model for Recipe Generation in a Low-Resource Language. Dimitar Peshevski, Darko Sasanski, Riste Stojanov, Dimitar Trajanov |
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| 2025 | PrivCLIP: Dynamic User-Controllable Privacy-Preserving Few-Shot Sensing Framework. Ajesh Koyatan Chathoth, Shuhao Yu, Stephen Lee |
| 2025 | Privacy-Preserving Hierarchical Federated Learning Over Data Spaces. Alexandros S. Kalafatelis, Vasileios Nikolakakis, Nikolaos Tsoulakos, Panagiotis Trakadas |
| 2025 | Privacy-Preserving Synthetic Dataset of Individual Daily Trajectories for City-Scale Mobility Analytics. Jun'ichi Ozaki, Ryosuke Susuta, Takuhiro Moriyama, Yohei Shida |
| 2025 | Private Spatial Range Queries Over Outsourced Data: A Survey. Haoyang Wang, Wei Hu, Yue Quan, Dejun Mu |
| 2025 | Probing LLM Hallucination from Within: Perturbation-Driven Method via Internal Knowledge. Seongmin Lee, Hsiang Hsu, Chun-Fu Richard Chen, Duen Horng (Polo) Chau |
| 2025 | Probing the Black Box: A Behavioral Framework for the Deep Verification of Random Forests. Zheyan Zhang, Diego Klabjan |
| 2025 | Profitability of Slow Steaming Under Vessel Offshore Waiting Conditions. Shunta Yoshimura, Tomoya Kawasaki, Ayato Kitadai, Nariaki Nishino |
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| 2025 | PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python. Jacob Mahon, Chenxi Hou, Zhihao Yao |
| 2025 | QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification. Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua |
| 2025 | QNQCDE: Efficient Dialogue Embeddings Based on Contrastive Learning Using Question and Non-Question Pairs. Jihyeon Oh, Subeen Choe, Jihoon Yang |
| 2025 | Quantifying Multimodal Review Quality with LLMs in the Online Marketplace. Jemin Park, Wonmo Kang, Ha Eun Jang, David Niewelt, JooHee Oh |
| 2025 | Quantifying Privacy Leakage in Multi-Agent LLMs: A Unified Theoretical and Empirical Analysis. Milon Biswas, Wei Yu, Qianlong Wang, Weixian Liao |
| 2025 | Quantifying SME Credit Risk in Receivables Financing with AI-Based Transaction-Level Data Analytics in a Fintech Context. Kyung Seo Kim, Chung Man Park, Jae Ho Youn, In Tak Song, Chung Hee Ye, Byung Hee Choi, In Geun Shin, Jin Yong Park |
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| 2025 | Quantile Forecasting of Solar Radiation in the Amazon Using Deep Learning and Signal Decomposition. Andre Marques, Pedro Correa |
| 2025 | Quantitative Analysis of Blockchain Consensus Effects on Dataspace Transaction Latency. Hirotsugu Seike, Yasukazu Aoki, Noboru Koshizuka |
| 2025 | Quantum Convolutional Neural Networks in Injury Detection of 3D Computed Tomography Volumes. Li-Yen Alyssa Chou, Md Majedul Islam, Selena He |
| 2025 | Quantum-Driven Logistics: Building Sustainable and Efficient Supply Chain. Rajiv Misra, Kuntal Majumder |
| 2025 | Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction. Stefan-Alexandru Jura, Mihai Udrescu, Alexandru Topîrceanu |
| 2025 | Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment. Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang |
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| 2025 | RAG-CUE: Actionable and Unified Evaluation for Retrieval-Augmented Generation Systems. Prabhat Kumar Prabhakar, Neelesh Kumar Shukla, Viji Krishnamurthy |
| 2025 | RAG-Targeted Adversarial Attack on LLM-Based Threat Detection and Mitigation Framework. Seif Ikbarieh, Kshitiz Aryal, Maanak Gupta |
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| 2025 | RLTR-LLM: A Temporal Knowledge Graph Few-Shot Out-Of-Graph Link Prediction Method Integrating RL-Based Temporal Retrieval and LLM Generation. Mengyu Han, Jinpeng Li, Hang Yu, Xiangfeng Luo |
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| 2025 | Ray Tracing-Enabled Realistic Data-Driven Site-Specific CSI Prediction. Ren Wei Ou, Ruisi Li |
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| 2025 | Real-Time Adaptive Topic Modeling Framework for Identifying Social Engineering Attacks. Manav Bhasin, Faranak Abri, Jade Webb, William B. Andreopoulos |
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| 2025 | ReasonAlign: A Prompt-Based Framework for Zero-Shot Schema Alignment Across Data Sources. JiuTao Zhou, Chenyu Zhang, Peirong Ma, Weiguang Qu, Masaru Kitsuregawa, Yanhui Gu |
| 2025 | Reflection: A Graph-Based Journaling System for Emotional Navigation Using Intelligent Pathfinding. Manodhya Opallage, Quazi Abidur Rahman |
| 2025 | Reflective Beam Search for Automated TTP Extraction and Sigma Rule Generation from Cyber Threat Intelligence. Jeffrey Fairbanks, Edoardo Serra |
| 2025 | Reinforcement Learning for Dynamic Decision Making in Engineering Systems. Ramin Giahi, Cameron A. MacKenzie, Reyhaneh Bijari, Reza Yousefi Maragheh, Kai Zhao |
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| 2025 | Relation-Stratified Sampling for Shapley Values Estimation in Relational Databases. Amirhossein Alizad, Mostafa Milani |
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| 2025 | Resource Overcommitment with Granular and Pattern-Based Machine Learning Predictions. Ali Zafar Sadiq, Haiying Shen, Tanmoy Sen, Nan Deng, Sunan Xiang |
| 2025 | Rethinking Graph Reasoning: Equip Large Language Models with Topology-Enhanced Prompt. Yizhuo Ma, Rongzheng Wang, Qizhi Chen, Jiakai Li, Shuang Liang, Ke Qin |
| 2025 | Rethinking Ground Truth: A Case Study on Human Label Variation in MLLM Benchmarking. Tomás Ruiz, Tanalp Agustoslu, Carsten Schwemmer |
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| 2025 | Revisiting Global Local Outlier Scores Based on Hierarchies for Clarity and Parameter-Free Use. Shukurillo Makhammadjonov, Kayumov Abduaziz, Karimov Azamatjon, Ji Sun Shin |
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| 2025 | Reward-Aware Shapley Compensation: a Probabilistic and Game-Theoretic Approach in Cooperative Sharing Economies. Angela Li, David Li |
| 2025 | RiSA: Risk-Aware Situational Assistant: From Risk Forecasting to Actionable Driver Advice. Kaito Asai, Bin Zhou, Jianyu Huang, Yutaka Arakawa, Tsunenori Mine |
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| 2025 | Robust Prescriptive Pricing under Competitor Price Uncertainty. Shoki Yamao, Yusuke Mibuchi, Kai Yoshida, Jingqi Wu, Yukina Nakagawa, Yoshimi Nakaya, Ken Kobayashi, Kazuhide Nakata |
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| 2025 | S2TKD: Dual-Student Knowledge Distillation for Industrial Visual Anomaly Detection and Localization. Changyi Li, Chao Yang, Yu Xiao |
| 2025 | SA-KGP: A Semantic-Aware Partitioning Method for Scalable Knowledge Graph Embedding. Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi |
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| 2025 | SAVe-Vis: An End-to-End Multimodal Framework for Schema-Aware and Self-Validating Data Visualization Generation. Yi Li, Jiana Meng, Di Zhao, Bolin Wang |
| 2025 | SCL-CFSR: Context-Aware Session-Based Recommendation via Self-Contrastive Learning and Multi-Layer Self-Filtering Residual Attention. Jing He, Han Zhang, Lin Chen, Cheng Luo, Wei Guo, Zhen Zhang |
| 2025 | SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models. Mohamed Afane, Abhishek Satyam, Ke Chen, Tao Li, Junaid Farooq, Juntao Chen |
| 2025 | SD-CIL: A Structurally Decoupled Framework for Balancing Stability and Plasticity in Online Class-Incremental Learning. Mengyun Chen, Jinyong Cheng, Zhe Zhuang, Zhonghe Wei |
| 2025 | SDP-DETR: End-To-End Detection of Aircraft Skin Defects Via Dynamic Multi-Scale Aware Mechanism. Lifeng Wei, Chufan Pang, Xinzheng Xu |
| 2025 | SDT-GNN: Streaming-Based Distributed Training Framework for Graph Neural Networks. Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee |
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| 2025 | SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil |
| 2025 | SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data. Ke Yu, Shigeru Ishikura, Yukari Usukura, Yuki Shigoku, Teruaki Hayashi |
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| 2025 | SOP-Guided Co-Enhanced CLIP for Action Recognition in Logistics Warehouse Packaging. Wenting Qi, Kexin Zhang, Yan Sun, Haichao Zhang, Xiaoyin Xu, Hengle Qin |
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| 2025 | SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space. Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava |
| 2025 | SWIFT: Scene-Aware Dual Cross-Attention Flight Trajectory Prediction. Jihong Zhang, Pingfu Chao, Junhua Fang, Hui Peng, Jiajie Xu |
| 2025 | SZ3_SIMD: Accelerating Error-Bounded Lossy Compression with Architecture Independent SIMD. Changfeng Zou, Bigyan Ghimire, Jon C. Calhoun |
| 2025 | Safe, Untrusted, "Proof-Carrying" AI Agents: Toward the Agentic Lakehouse. Jacopo Tagliabue, Ciro Greco |
| 2025 | Satellite-AIS Fusion for Container Terminal Analytics: Towards Digital Port Operations in Tokyo's Ohi Terminals. Wenru Zhang, Ryuichi Shibasaki |
| 2025 | Scalable Cross-Location Calibration of Low-Cost Air Quality Sensors Using Heterogeneous Data. Martina Casari, Laura Po, Federica Rollo |
| 2025 | Scalable Deep Learning for Greenland Ice Bed Topography Prediction. Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, Jianwu Wang |
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| 2025 | Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks. Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu |
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| 2025 | SciTopic: Enhancing Topic Discovery in Scientific Literature Through Advanced LLM. Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou |
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| 2025 | Securing Agricultural IoT Networks: Adapting SAFE-CAST Framework for LoRa-Based Smart Farming Applications. Yusuf Kursat Tuncel, Kasim Oztoprak, Reza Hassanpour |
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| 2025 | Semantic Dual-Decomposition Unfolding Network for Multi-Modality Medical Image Segmentation. Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao, Xiaoyu Feng |
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| 2025 | Semi-Supervised Hyperspectral Food Anomaly Detection Through Batch-Wise Distribution Alignment. Chi Zhang, Jungkwon Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun |
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| 2025 | Sig-Patchformer: A Path Signature Based Transformer for Efficient Time Series Forecasting. Rohan Akkineni, Chandrasekhar Uddagiri |
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| 2025 | Similarity-Aware Techniques for Deduplication in Large-Scale Remote Sensing Data. Yuchun Wang, Guoying Zhang, Jingqi Wang, Hui Qi, Chunbo Wang |
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| 2025 | Skillgraph-Align: A Skill Graph Enhanced Job Recommendation Method for University Graduates - A Decade-Long Validation on Real-World Data. Meiling Wang |
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| 2025 | Small Data for Walkability: Street-Furniture Experiments and Mobility Sensors in a Japanese Compact City. Sae Kondo, Kazuma Suzuki, Yukio Ohsawa |
| 2025 | Smartcitysystem: A Digital Twin Platform with Virtual Sensors for Urban Mobility Analysis. Andrei I Hirata, Ronaldo C. M. Correia, Rodolfo I. Meneguette |
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| 2025 | Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans. Scott Thomson, Michael Bewong, Arash Mahboubi, Tanveer A. Zia |
| 2025 | SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset. Antonela Tommasel, Juan Manuel Rodriguez |
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| 2025 | Spectral Clustering of Categorical and Mixed-Type Data via Extra Graph Nodes. Dylan Soemitro, Jeová Farias Sales Rocha Neto |
| 2025 | Speech-Based Analysis of Aggression in Social Content: Resistance of Large Language Models to Signal Degradation. Marzena Halama, Konrad Polys, Joanna Domanska |
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| 2025 | Towards a Graph-Based Agentic Workflow and Framework for Natural Language Directions. Ivens Da Silva Portugal, Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan |
| 2025 | Towards an Integrated AI Pipeline for Disease Diagnosis and Quality Assessment in Coffee Production. Geeta Rani, Vijaypal Singh Dhaka, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano |
| 2025 | Tracing Footsteps of Similar Cities: Modeling Urban Economic Vitality with Dynamic Inter-City Graph Embeddings. Xiaofeng Li, Xiangyi Xiao, Xiaocong Du, Ying Zhang, Haipeng Zhang |
| 2025 | Tracing Partisan Bias to its Emotional Fingerprints: A Computational Approach to Mitigation. Junjie Liu, Xi Luo, Sirong Wu, Gengchen Sun, Yuhui Deng |
| 2025 | Training and Reusing AI Agents for Data Exploration. Sihem Amer-Yahia |
| 2025 | Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models. Mahdi Naser-Moghadasi, Faezeh Ghaderi |
| 2025 | Transformer for Heterogeneous Graphs. Shiyin Zhang, Zheng Fang, Guojie Song |
| 2025 | Transformers for Payment Transactions Via Periodic Positional Encoding and Contrastive Learning. Michiharu Yamashita, Mert Kosan, Yong Zhao, Can Liu, Shubham Agrawal, Chiranjeet Chetia |
| 2025 | Trapezoidal Frustum and Angle Bracket for the Maximum Drawdown. Jia-Hao Syu, Yuh-Dauh Lyuu |
| 2025 | Tricks and Plug-Ins for Gradient Boosting in Image Classification. Biyi Fang, Truong Vo, Jean Utke, Diego Klabjan |
| 2025 | Trustworthy Scheduling for Big Data Applications. Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos |
| 2025 | Turning Point Prediction Under Multi-Objective Genetic Algorithm. Chi-Fang Chao, Mu-En Wu, Hsin-Hung Li, Ming-Hua Hsieh |
| 2025 | Two Shots are Enough: Reliable Constrained Generation with LLMs. Manuel Mondal, Ljiljana Dolamic, Philippe Cudré-Mauroux, Julien Audiffren |
| 2025 | Typhoon: A Slice-Scrambled In-Place LSD Sort. Zelun Liu, Arif Arman, Dmitri Loguinov |
| 2025 | USFF: A Unified Sales Forecasting Framework for Vending Machines. Qianyang Li, Xingjun Zhang, Shaoxun Wang |
| 2025 | USTNet: A Knowledge-Guided Spatio-Temporal Deep Learning Framework for Ulva Prolifera Suitability Assessment. Zhiwei Zhou, Chunxiao Wang, Chuantao Li, Jintao Li, Xiaoning Wang, Yanchao Xiao, Dingfeng Yu, Jian Zhang |
| 2025 | UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting. Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng |
| 2025 | Uncertainty Modeling and Enhanced Gather-And-Distribution Mechanism for Multi-Person Pose Estimation in Dense Scenes. Yuan Gao, Xiaobo Zhang, Yutao Liu, Andrew Lim, Yan Yang, Hui Zhang |
| 2025 | Uncovering Treatment Response Patterns with Topological Clustering of Brain Networks. Jiaying Yi, Jian Yin, Rahul Ghosal, Julius Fridriksson, Rutvik Desai, Yuan Wang |
| 2025 | Uncovering the Darknet: A Hybrid Intelligence Framework for Drug Market Surveillance. Diogo Rio, Krishna Teja Atluri, Giuseppe Cascavilla, Jessica De Pascale |
| 2025 | Understanding Toxic Interaction Across User and Video Clusters in Social Video Platforms. Qiao Wang, Liang Liu, Mitsuo Yoshida |
| 2025 | Understanding and Generating Student Questions with LLMs in Collaborative Learning. Han Kyul Kim, Shriniwas Nayak, Aleyeh Roknaldin, Stephen Lu |
| 2025 | Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing. Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Loretta Erhunmwunsee, Caroline A. Thompson, Tarik Benmarhnia, Hugo Kyo Lee, Marta M. Jankowska, Yulia R. Gel |
| 2025 | UniFi-LLM: A Unified Large Language Model for Financial Data Generation and Fraud Prediction. Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu |
| 2025 | Unsupervised Timeline Summarization via Time-Aware Graph Structural Entropy Minimization. Fan Peng, Yantuan Xian, Hongbin Wang, Yuxin Huang, Ran Song, Zhengtao Yu |
| 2025 | Unveiling the Dynamics of Multi-Dimensional Filter Bubbles in News Recommendation. Manal A. Alshehri, Xiangliang Zhang |
| 2025 | Updatable Balanced Index for Stable Streaming Similarity Search Over Large-Scale Fresh Vectors. Yuhui Lai, Shixun Huang, Sheng Wang |
| 2025 | Urban Computing: Enabling Spatio-Temporal Intelligences in Cities. Yu Zheng |
| 2025 | UrbanPhysicalDisorder-4K: Understanding Urban Perception via Counterfactuals and Street View Signs of Physical Disorder. Felipe Moreno Vera, Andres De-la-Puente, Jorge Poco |
| 2025 | User-Aware Denoising Sequential Model for Multi-Behavior Recommendation. Youwanhong Shan, Zhiyun Chen |
| 2025 | Using Multi-Perspective Information and Automatic Method Selection to Enhance the Performance of Large Language Models in Financial Question Answering. Xuesi Hu, Qiancheng Zhang, Jinpeng Miao, Peng Wang |
| 2025 | Using an Ensemble Approach for Layout Detection and Extraction from Historical Newspapers. Aditya Jadhav, Bipasha Banerjee, Jennifer Goyne |
| 2025 | Valence-Arousal Emotion Recognition Using a Deep Three-Layer Model with Aural Perceptual Representations. Xingfeng Li, Junjie Li |
| 2025 | Vector Database Systems: Foundational Data Infrastructure for the Age of AI. Xiaofang Zhou |
| 2025 | Vertical Federated Learning on Scattered Directive: Enforcing Policies on VFL Workflows. Jake Jongejans, Alexandros Koufakis, Ana Oprescu |
| 2025 | VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions. Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah |
| 2025 | Vision Paper: AutoBorder - Vehicle-Integrated Solutions for Drive-Through and Human-Centric Borders. Eleftheria Katsoura, James M. Ferryman, Georgios Stavropoulos, Andreas Uhl, Henryk Gierszal, Arkadiusz Kruszynski, Piotr Tyczka, Sarah Murray, Mariano Martín Zamorano Barrios, Eileen Murphy, Konstantinos Votis |
| 2025 | Vision Paper: CERTHTRACE - Transforming Cryptocurrency-Facilitated Crime Investigation through Explainable, Hybrid Intelligence. Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis |
| 2025 | Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models. Omer Faruk Deniz, Ruiyu Mao, Ruochen Li, Yapeng Tian, Latifur Khan |
| 2025 | Visualizing Asthma-Related Digital Health Data for Everyday Users. Alan Zhang, Hamid Mansoor |
| 2025 | Voices of Care: Actor-Centric LLM-Assisted Analysis of Alzheimer's and Dementia Discourse on Reddit. Umme Kulsum Tumpa, Nazifa Tasnim Hia, Md Shahrar Fatemi, Md. Mahbubul Alam Joarder, Shebuti Rayana |
| 2025 | Wage Sentiment Indices Derived from Survey Comments via Large Language Models. Taihei Sone |
| 2025 | WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series. Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Zhen Xiong, Cyrus Shahabi |
| 2025 | Web Application Based on Machine Learning for the Prediction and Prevention of Low Academic Performance in Primary School Students in the District of Matara, Cajamarca. Carlos Daniel Cubas Gallardo, Leslie Viviana Torres Chulluncuy, Carlos Alberto Alvarado Quintana |
| 2025 | Web-Based System with RFID, OCR, and Digital Payment Technology for Automated Management and Electronic Toll Collection in Metropolitan Lima. Carlos Gonzalez, Tomas Jara, Carlos Alvarado |
| 2025 | Weight of a Feeling: Temporal and Modal Contributions to Emotion from Music Videos. Shubha Masti, Shyam K. Sateesh, Siyani Vengatagiri, Athul Raimon, Bhaskarjyoti Das |
| 2025 | Weighted Sum TimeMixerMax: Capturing Peak Dynamics in Multivariate Time Series Forecasting. Akhash Vellandurai, Ankit Sharma, Vinoth Kumar, Kingshuk Banerjee |
| 2025 | When Data & AI Converge for Good, Societal Impact Accelerates. Nitesh V. Chawla |
| 2025 | When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models. S. M. Mustaquim, Anantaa Kotal, Paul H. Yi |
| 2025 | When Summaries Lie: Adversarial Attacks on Abstractive Summarization Models. Jiyao Li, Wei Liu |
| 2025 | When the Crowd Agrees(or Not): Topic Effects and Reason Distributions in X's Community Notes. Hibiki Sumioku, Yuya Shibuya |
| 2025 | When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data With Generative AI for Early Stopping. Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang |
| 2025 | Whose Line is it Anyway? Linguistic Attribution of Misinformation from Mainstream and Fringe LLMs. Han Kyul Kim, Ankur Garg, Hansea Kim, Eunjeong Joo, Andy Skumanich |
| 2025 | Why Softmax Attention Outperforms Linear Attention. Yichuan Deng, Zhao Song, Kaijun Yuan, Tianyi Zhou |
| 2025 | XAI-Enhanced Sensor Fusion for Reliable Predictive Analytics in Industry 4.0. Tomasz Zyzak, Piotr Gaj, Ireneusz Smolka |
| 2025 | XCKAN: Federated Catalog for Data Discovery in Dataspaces. Hangli Ge, Hideaki Takeda, Takeshi Sagara, Naho Kitano, Noboru Koshizuka |
| 2025 | XDoGE: Multilingual Data Reweighting to Enhance Language Inclusivity in LLMs. Iñaki Lacunza, José Javier Saiz, Alexander Shvets, Aitor Gonzalez-Agirre, Marta Villegas |
| 2025 | Zero-Shot Learning Capabilities of Large Language Models (LLMs) in Extracting Key Insights from Suicidal Narratives. Rafe Sumnan Azade, Salim Sazzed |
| 2025 | iTransformer-LSTM-MoE: A Dual-Branch Mixture-of-Experts Framework for Disk Failure Prediction. Junqing Duan, Xiaotao Wei, Xiang Wei, Bingke Fu, Dashuai Guan, Ruiping Yu |
| 2025 | pH Prediction Based on Computer Vision in Recirculating Aquaculture System. Wenxin Wu, Dan Cui, Junchao Yang, Yueming Zhou |
| 2025 | qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices. Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua |