| 2025 | A Data-Driven Approach for Sleep Stage Detection Using Machine Learning and Feature Selection Algorithms. Md. Nahid Hasan, Md. Sultan Mahmud, Clifford Jones, Saroj Baral, Khem Poudel |
| 2025 | A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection. Vaishnavi Sen, Rashida Hasan |
| 2025 | A Generative Adversarial based Approach for Continual Federated Learning with Non-IID Data. Akshat Sharma, JingTao Yao |
| 2025 | A Multi-Feature Fusion Approach to Learner Engagement Detection. Eman Almotairi, Danda B. Rawat |
| 2025 | A Multi-Stage Machine Learning Pipeline for Automated Bowel Preparation Scale Assessment in Colonoscopy Videos. Yiqin He, Qilei Chen, Ke Wan, Alimire Nabijiang, Yu Cao, Benyuan Liu |
| 2025 | A Multilingual Evaluation of Large Language Models for Generating Phonological Exercises via Linguistic Heuristic Guidance. Geraldo Gomes da Cruz Júnior, Robson do Nascimento Fidalgo |
| 2025 | A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin |
| 2025 | A New Federated Learning Approach for Imbalanced Medical Image Datasets. Aniruddha Tiwari, Zhen Ni, Xiangnan Zhong, Ahmed Imteaj |
| 2025 | A Novel Framework for Vehicle Detection and Dynamic Light Control via YOLOv8n on Edge-Deployed IMX500. Shresth Mishra, Daniel Cionca, Raunak Pradhan |
| 2025 | A Reward-Driven Controller for Text Generation with Black-Box Language Models. Robert Morain, Dan Ventura |
| 2025 | A Self-Supervised Auxiliary Learning Approach for Effective Depression Screening. Kevin Hickey, Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner |
| 2025 | A Semi-Automated Pipeline for Generating and Annotating Colorectal Polyp Data for Semantic Segmentation Tasks. André Castro, Alexandre Naves, Lucas Neves, João Pedro Fernandes, Rian Santos, Caio Oliveira, Ricardo Franco |
| 2025 | A Transformer-Based Cross-Platform Analysis of Public Discourse on the 15-Minute City Paradigm. Gaurab Chhetri, Darrell Anderson, Boniphace Kutela, Subasish Das |
| 2025 | AI-Driven Prediction of Material Deformation: Stress-Strain Curves Faster Than Crystal Plasticity Finite Element Simulation. Sayak Chakrabarty, Shahriyar Keshavarz, Yuwei Mao, Andrew C. E. Reid, Alok N. Choudhary, Ankit Agrawal |
| 2025 | AI-Driven Test Generation from Natural Language: A Gamified Framework for Automated UI Testing. Maroun Ayli, Youssef El Bakouny, Nader Jalloul, Hani Seifeddine, Rima Kilany |
| 2025 | AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering. Onat Güngör, Roshan Sood, Harold Wang, Tajana Rosing |
| 2025 | Accurate Polyp Sizing via Attention-Guided Parallel CNN-ViT Depth and Learned Scale. Alimire Nabijiang, Feng Liu, Jiao Feng, Qilei Chen, Yu Cao, Benyuan Liu |
| 2025 | Active Authentication via Korean Keystrokes Under Varying LLM Assistance and Cognitive Contexts. Dong Hyun Roh, Rajesh Kumar |
| 2025 | Adaptive Contrastive Learning for Understanding Procedural Activities. Chenxi Guo, Andreas Hubert, Konrad Doll |
| 2025 | Adaptive Kernel Selection: Performance Pattern Analysis Across Network Depth Hierarchies and Dataset Complexities. Areen Patil, Rehaan Kadhar |
| 2025 | Adaptive Quantile Guidance in Diffusion Models: Multi-Dataset Learning for Pandemic Time Series. Jane Odum, John Mller |
| 2025 | Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao |
| 2025 | Adversarial-Resilient RF Fingerprinting: A CNN-GAN Framework for Rogue Transmitter Detection. Raju Dhakal, Prashant Shekhar, Laxima Niure Kandel |
| 2025 | Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps. Gabriel Maldonado, Narges Rashvand, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi |
| 2025 | An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring. Monitha Davuluri, Manish Vikrama, Rashida Hasan |
| 2025 | An Empirical Study on the Application of TDA to Deep Neural Networks. Tyler Trogden, Dan Ventura |
| 2025 | An Explainable Dynamic Few-Shot Learning Framework for GERD and Polyp Detection in Endoscopic Imaging. Md. Hasan Imam Bijoy, Dewan Aminul Islam, Susmoy Biswas, Mohammad Shamsul Arefin, Md. Zahid Hasan, Mohammad Shorif Uddin |
| 2025 | Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development. Brian Bowers, Smita Khapre, Jugal Kalita |
| 2025 | Anti-Submarine Warfare Planning Using Public Belief States and Self-Play. Christoffer Limér, Joel Brynielsson, Mika Cohen, Felix Rydell |
| 2025 | Applying LLMs to the Classification of Cybersecurity Incident Tickets in a Few-Shot Scenario. Sebastião Alves de Jesus Filho, Alvaro Santana Santos, Rafael Dias Araújo, Rodrigo Sanches Miani |
| 2025 | Applying Machine Learning to Classify Automobile Repossession Success. Preston Billion Polak, Andy Sinclair, Taghi M. Khoshgoftaar |
| 2025 | Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment. Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka |
| 2025 | Attr-RAG: Attribution-Guided Retrieval-Augmented Generation for Scientific Experiment Design. Fazle Rahat, M. Shifat Hossain, Arvind Ramanathan, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz |
| 2025 | Automated Clinical Coding with Multiclass ICD Prediction. Supriya Khadka, Xiaorui Jiang, Vasile Palade |
| 2025 | Automated Feature Engineering for Contextual Bandits via AATention Transfer Learning. Ethan Pedersen, Jacob W. Crandall |
| 2025 | Axes-Oblique Partitioning for Local Model Networks with RFIR Models. Christopher Illg, Oliver Nelles |
| 2025 | BEACON: Behavioral Malware Classification with Large Language Model Embeddings and Deep Learning. Wadduwage Shanika Perera, Haodi Jiang |
| 2025 | BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring. Rajan Das Gupta, Md. Kishor Morol, Nafiz Fahad, Md. Tanzib Hosain, Sumaya Binte Zilani Choya, Md. Jakir Hossen |
| 2025 | Background-Aware Instance Segmentation for Early Detection of E. coli and Salmonella in Time-Stamped Microscopy Images. Bibek Koirala, Anas M. R. Alsobeh, Namariq Dhahir, Amer AbuGhazaleh |
| 2025 | Beyond a Single Perspective: Neural Fusion of Lévy-Generated Super-Resolution Images for Robust Face Recognition. Marcelo dos Santos, João C. Neves, David Menotti |
| 2025 | Bilevel-Optimized Clustered and Distributed Federated Learning Secured by Blockchain for Building Energy Forecasting. Ai Kagawa, Judy Min, Nancy Min |
| 2025 | Black drama: between hate speech and algorithmic racism. Cássia C. S. Rosa, Renato Porfirio Ishii, Fábio Henrique Viduani Martinez |
| 2025 | BoP-X: A New XAI Approach to Explain Reinforcement Learning for Autonomous Driving. Gulsum Alicioglu, Bo Sun |
| 2025 | Bounomodes: the grazing ox algorithm for exploration of clustered anomalies. Samuel Matloob, Ayan Dutta, O. Patrick Kreidl, Swapnoneel Roy, Ladislau Bölöni |
| 2025 | Breaking and Securing Vision-Language Models: An Adversarial Robustness Study. Md. Zarif Hossain, Abdur R. Shahid, Ahmed Imteaj |
| 2025 | CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems. Mohammad Helal Uddin, Sai Krishna Ghanta, Liam Seymour, Sabur Baidya |
| 2025 | CLIPS: Continual Learning Infrastructure for Plastics Sorting. Shivm Mehta, Vaishali Maheshkar, Charuvahan Adhivarahan, Karthik Dantu |
| 2025 | Can a Machine Learning Model Consistently Learn Profitable Trading Strategies in the Forex Market? Ethan Pedersen, Jacob W. Crandall |
| 2025 | Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM Agent. Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko |
| 2025 | Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift. Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, Md. Osman Gani |
| 2025 | Clustering and Explainable AI for Supporting Energy Contracting in the Brazilian Free Energy Market. Sérgio Baldo Júnior, Gabriel S. Matz, Marcos B. S. Paula, Ewerton Guarnier, Donato S. Filho, Raquel L. Melo, Lucas B. Picarelli, Victor C. V. Rosa, Zhao Liang, Renato Tinós |
| 2025 | Code Generation with Small Language Models: A Codeforces-Based Study. Débora Souza, Rohit Gheyi, Lucas Albuquerque, Gustavo Soares, Márcio Ribeiro |
| 2025 | Comparative Analysis of Defense Approaches against Adversarial Attacks on Remote Sensing Applications. Sanjaykrishnan Ravikumar, Ravi Kumar Rogannagari, Md. Jahirul Islam, Kazi Aminul Islam |
| 2025 | Data-augmentation Technique Using Helpful AI-generated Images for Training. Daichi Murata, Tatsumi Uezato, Yusuke Matsuda, Keisuke Inata, Satoshi Kujiraoka, Morio Matsumoto |
| 2025 | Decoding Social Media Sentiment Before Events Occur Through Sentence-Level Embeddings and Graph Learning. Jovan Andjelkovic, Shelly Gupta, Abdulrahman Alharbi, Zoran Obradovic |
| 2025 | Deep Learning for Third Molar Segmentation: An Empirical Analysis on Dental Radiographs. Munim Ahmed, M. M. Mahbubul Syeed, Jahid Hasan Rony, Razib Hayat Khan, Mohammad Faisal Uddin, Safiqul Islam, Mohammad Khursheed Alam |
| 2025 | Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions. Diego Hitzges, Guillaume Sagnol |
| 2025 | DeepTime: Meta-Learning Temporal Dynamics for Salesforce Opportunity Forecasting. Sharan Sukesh |
| 2025 | Design and Validation of a YOLOv8 Synthetic Data Generation Pipeline for Surface Defect Detection in Manufacturing. Armin Moghadam, Sahib Bhatia, Fatemeh Davoudi Kakhki, Hiroyuki Ichikawa |
| 2025 | Detecting Patient and Healthy People's Personalized Breathing Patterns with Few-Shot Learning. Manas V. Shetty, John Springer, Sudip Vhaduri, Zachary Hass, Jessica E. Huber, Brad H. Rosen, Jennifer A. Coddington |
| 2025 | Detecting Sliver DNS Command and Control (C2) Beaconing Using LSTM Neural Networks. Robert D. Ward, Xinyuan Wang |
| 2025 | Detection of LLM Hallucinations Using Late Internal Representations. Sakhawat Hossan, Jing Deng |
| 2025 | Diabetic Retinopathy Lesion Segmentation through Attention Mechanisms. Aruna Jithesh, Chinmayi Karumuri, Venkata Kiran Reddy Kotha, Meghana Doddapuneni, Taehee Jeong |
| 2025 | Difficulty-Driven Fine Training for WisdomNet. Ayomide Afolabi, Ramazan Aygun, Truong X. Tran |
| 2025 | Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors. Chang Liu, Ladda Thiamwong, Yanjie Fu, Rui Xie |
| 2025 | Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks. Luke Delzer, Robert Kroleski, Ali K. AlShami, Jugal Kalita |
| 2025 | Dynamic Time Warping-Based Evidential Clustering of Time Series with c-Medoids. Eya Laffet, Ahmed Samet, Mohamed Anis Bach Tobji, Baptiste Lafabregue, François de Bertrand de Beuvron |
| 2025 | EDLAD: Ensemble Deep Learning for Alzheimer's Disease Detection using Brain EEG Signals. An T. T. Phan, Xingquan Zhu |
| 2025 | EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model. Alyssa Pinnock, Shakya Jayakody, Kawsher A. Roxy, Md Rubel Ahmed |
| 2025 | Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops. S. M. Rafiuddin |
| 2025 | Efficient Edge Inference via Entropy and Magnitude-Aware Feature Map Pruning in Partitioned CNNs. Eiraj Saqib, Oscar Artur Bernd Berg, Isaac Sánchez Leal, Irida Shallari, Silvia Krug, Axel Jantsch, Mattias O'Nils |
| 2025 | Efficient Visual Cyberbullying Detection via Knowledge Distillation from EfficientNet to Lightweight CNNs. Pal Dave, Subhram Dasgupta, Kushal Badal, Xiaohong Yuan, Kaushik Roy |
| 2025 | Energy Efficiency for Automobile A/C Systems Using Machine Learning Algorithms. Neha Ananthavaram, Taehyung Wang |
| 2025 | Enhancing 3D Semi-Supervised Teeth Segmentation with Voxel Entropy-Guided Self-Learning. Elbadry Elbadry, Mahmoud Gamal, Marwa Baraka, Marwan Torki |
| 2025 | Enhancing Authorship Attribution with Synthetic Paintings. Clarissa Loures, Caio Hosken, Luan Oliveira, Gianlucca L. Zuin, Adriano Veloso |
| 2025 | Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations. Rama Kassoumeh, David Rügamer, Henning Oppel |
| 2025 | Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies. Hugo Garrido-Lestache Belinchon, Jeremy Kedziora |
| 2025 | Ensembles of Statistically Independent Models: A Method for Semi-Supervised Domain Adaptation. Nicholas Josselyn, Walter Gerych, Biao Yin, Ziming Zhang, Elke A. Rundensteiner |
| 2025 | Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions. Itallo Patrick Castro Alves da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza, Baldoino Fonseca dos Santos Neto, Márcio de Medeiros Ribeiro |
| 2025 | Event Detection in Dark Web and Surface Web Forums using Machine Learning. Rodrigo Bernabé Silveira, Rodrigo Sanches Miani, Paulo Henrique Ribeiro Gabriel |
| 2025 | Explainable Artificial Intelligence in Robotics: A Review of Applications and Methods. Gulsum Alicioglu, Bo Sun |
| 2025 | Explainable Gait Abnormality Detection Using Dual-Dataset CNN-LSTM Models. Parth Agarwal, Sangaa Chatterjee, Md Faisal Kabir, Suman Saha |
| 2025 | Fault Robustness and Lightweight Error Correction for Low-Precision Posit Neural Networks in Safety-Critical Systems. Suleiman Junaidu Sadiq, Martin Mariusz Lester |
| 2025 | Feature Orthogonalization via Contrastive Upper-bound Separation for Domain Generalization. Noaman Mehmood, Kenneth E. Barner |
| 2025 | Feature Selection via Class-wise Mean Deviation. Abu Fuad Ahmad, Jiefei Liu, Qixu Gong, Satyajayant Misra, Jayashree Harikumar |
| 2025 | Federated Boolean Matrix Factorization Using Integer Programming. Duy Nhat Phan, Quynh Anh Nguyen, Thuy Ngoc Nguyen |
| 2025 | From Answer to Origin: Page Number Grounding in Document-Level Question Answering. Zarin T. Shejuti, Debzani Deb, Emily R. Dunkel |
| 2025 | From Uncertainty to Clarity: Projecting Points onto Classification Boundaries Using Distance Metrics. Michael R. Smith, Eva Domschot |
| 2025 | Fusing Camera and Electromyography Data for Enhanced Range of Motion Assessment. Xuke Yan, Bo Liu, Jinzhao He, Guangzhi Qu |
| 2025 | GUI-Based Deep Learning System for Real-Time Early Dental Caries Classification and Detection via OCT Images. Carlos Diaz, Hassan S. Salehi |
| 2025 | Generalizing Distributions of Learned Error and Bias using Empirical Analysis. Zackary Hoyt, Dean Frederick Hougen, Bryan Lavender, Zachary Kastl, Levi Golston, Sean Nguyen, Joseph Karch |
| 2025 | Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models. Valentin Schmidberger, Manuel Eberhardinger, Setareh Maghsudi, Johannes Maucher |
| 2025 | Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda |
| 2025 | Gradient-based Model Shortcut Detection for Time Series Classification. Salomon Ibarra, Frida Cantu, Kaixiong Zhou, Li Zhang |
| 2025 | Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation. Gunner Stone, Sushmita Sarker, Alireza Tavakkoli |
| 2025 | Heterogeneous Time Series Anomaly Detection in Cyber-Physical Systems with VAEM-LSTMs. Lekha Patel, Shamina Hossain-McKenzie |
| 2025 | HierTTF: Hierarchical Two-Stage Time-to-Failure Prediction for Datacenter SSDs Using Telemetry. Geunrok Oh, Sohyun Han, Kijong You, Jongsung Na, Kyungsik Song, Sejeong Jang, Yuqi Zhang, Haonan Luo |
| 2025 | Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation. Erin Lanus, Daniel Wolodkin, Laura J. Freeman |
| 2025 | Highly Imbalanced Regression with Tabular Data in SEP and Other Applications. Josias K. Moukpe, Philip K. Chan, Ming Zhang |
| 2025 | Hybrid Deep Learning Models for the Prediction of Some Experimental Quantities of Molecules. P. Djagba, V. Rakotonarivo, A. Zeleke |
| 2025 | Improving Geolocalization with Social Media Captions: A Retrieval-Based Approach. Anton Ljungar, Sofia Reineck, Edward Tjörnhammar, Sebastian Öberg |
| 2025 | Improving Internet Traffic Matrix Prediction via Time Series Clustering. Martha Cash, Alexander M. Wyglinski |
| 2025 | Improving Long-Term HDD RUL Prediction Using a Novel Feature Engineering Approach. Francisco Lucas Falcao Pereira, Victor A. E. de Farias, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado |
| 2025 | Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering. Jonathan O'Berry, Indika Kahanda, Upulee Kanewala |
| 2025 | Influence of Stratified Variable Encoding on Quality of Mortality Prediction in Systolic Heart Failure. Bhumi Patel, Lemba Priscille Ngana, Atefehsadat Haghighathoseini, Janusz Wojtusiak |
| 2025 | Information Theoretic Threshold Tuning in Parallel Stochastic Quantizer Architectures ∗. Hassan Tavakoli, Thinh Nguyen, Bella Bose |
| 2025 | Information-Geometric Barycenters for Bayesian Federated Learning. Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou, Marios Kountouris |
| 2025 | Integrating Prior Observations for Incremental 3D Scene Graph Prediction. Marian Renz, Felix Igelbrink, Martin Atzmueller |
| 2025 | International Conference on Machine Learning and Applications, ICMLA 2025, Boca Raton, FL, USA, December 3-5, 2025 |
| 2025 | Iterative Denoising Autoencoders with Adaptive Iterations Trained Using Sum Iteration Losses. Shiquan He, Randy C. Paffenroth |
| 2025 | Iterative Tensorization of Physics-Informed Neural Networks. Carter Capetz, Ryan Solgi, William Sheppard |
| 2025 | JaiLIP: Jailbreaking Vision-Language Models via Loss Guided Image Perturbation. Md. Jueal Mia, M. Hadi Amini |
| 2025 | Jailbreaking Large Language Models: Safety Alignment, Response Quality, Computational Cost. Jonas Rosengren, Joel Brynielsson, Fredrik Johansson, Patrik Jonell |
| 2025 | Jailbreaking Large Vision Language Models in Intelligent Transportation Systems. Badhan Chandra Das, Md. Tasnim Jawad, Md. Jueal Mia, M. Hadi Amini, Yanzhao Wu |
| 2025 | Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons. Farhad Pourkamali-Anaraki |
| 2025 | LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection. Onat Güngör, Ishaan Kale, Jiasheng Zhou, Tajana Rosing |
| 2025 | LLM Chatbot for Autonomous User Support in High-Performance Computing (HPC). Rajesh Pasupuleti, Ravi Vadapalli, Christopher Mader, Subhan Shakoor |
| 2025 | LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMs. Tom Pawelek, Raj Patel, Charlotte Crowell, Noorbakhsh Amiri Golilarz, Sudip Mittal, Shahram Rahimi, Andy Perkins |
| 2025 | LLMs as Agentic Cooperative Players in Multiplayer UNO. Yago Romano Martinez, Jesse Roberts |
| 2025 | LUMIN: Language-based Understanding and Multimodal Interface for NASA PDS. Joshua Lockart, Venkata Shaurya Mantrala, Vaibhav Reddy Dandala, Sokhna Amar, Emily Dunkel, Sambit Bhattacharya |
| 2025 | LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data. Mohammad Abdul Hafeez Khan, Marcello Mattei Di Eugenio, Benjamin Diaz, Ruth E. White, Siddhartha Bhattacharyya, Venkat Keshav Chivukula |
| 2025 | Label-Efficient Human Activity Recognition from Wearables via Self-Supervised Representation Learning. Taoran Sheng, Manfred Huber |
| 2025 | Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification. Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw |
| 2025 | Labeling an Arabic Sockpuppet Dataset Using a Human-in-the-Loop Approach - Short Paper. Rafeef Baamer, Ahmed S. Alghamdi, Mihai Boicu |
| 2025 | Lacium Flower: Learning Phonological Representations for Literacy Tasks in Low-Resource Scenarios for Brazilian Portuguese. Geraldo Gomes da Cruz Júnior, Robson do Nascimento Fidalgo |
| 2025 | Language Models as Decision Support Systems for Directional Network Maneuvering. Carlos Flores-Molina, Alex Bordetsky, Marko Orescanin |
| 2025 | Learning Robust Simplex Sparse Representation Using Alternating Linearized Minimization Method. Zhennan Shi, Qiushi Wei |
| 2025 | Learning a Single Compact Soft Tree with Iterative Updates of Sample Weights. Atsuya Saiga, Akihiro Inokuchi |
| 2025 | Learning from Execution Graphs: A Graph Neural Network Approach to Malware Detection. Hossein Shokouhi-Nejad, Mackenzie Chase, Roozbeh Razavi-Far |
| 2025 | Learning from Incomplete Logs: Dual-Task Failure Prediction for Natural Gas Compressor Units. Pegah Mavaie, Ravigopal Vennelakanti |
| 2025 | Leveraging Anatomical Guidance: A Novel Attention Mechanism for Pedestrian Detection. Hongbo Pang, Changcheng Huang |
| 2025 | Leveraging Diffusion-Based Augmentation for Robust Semantic Segmentation. Muhammad-Momin Salman, Christoph Gerhardt, Wolfgang Broll |
| 2025 | LoRaDoctor: LLM-Driven Diagnosis and Adaptive Policy Optimization for Reducing Packet Error Rate in LoRaWAN Networks. Dongyi Ma, Aitian Ma, Sirui Luo, Martin de Jode, Andrew Hudson-Smith, Mo Sha |
| 2025 | Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning. Babak Barazandeh, Subhabrata Majumdar, Om Rajyaguru, George Michailidis |
| 2025 | Localized Uncertainty Quantification in Random Forests via Proximities. Jake S. Rhodes, Scott D. Brown, J. Riley Wilkinson |
| 2025 | MADE-PI: Framework for Effective Anomaly Detection in Federated Learning Applications. Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik, Adrian Peña |
| 2025 | MARVEL: Multi-modal Analysis and Reasoning for Violence Explanation with Large Language Models. Kushal Badal, Subhram Dasgupta, Md Tasnim Alam, Xiaohong Yuan, Kaushik Roy |
| 2025 | MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare. Zag ElSayed, Craig A. Erickson, Ernest V. Pedapati |
| 2025 | MIGRANT-DE: Scalable Differential Evolution for Large-Scale Machine-Learning Optimization. Priyanka Haresh Bhatia |
| 2025 | MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs. Purbesh Mitra, Sennur Ulukus |
| 2025 | Mamba World Model for RL: Enhancing Long-term Memory in Model-based Reinforcement Learning. Mingcong Cao, Yucheng Huang, Suat Gumussoy, Ümit Y. Ogras |
| 2025 | Medical Imaging with Deep Learning: A Comparison of CNN and Transformer Models. Kehan Gao, Sarah Tasneem, Taghi M. Khoshgoftaar |
| 2025 | Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs. Anbi Guo, Mahfuza Farooque |
| 2025 | Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models. Khalid Hasan, Jamil Saquer, Yifan Zhang |
| 2025 | Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training. Chen Tao, Li Shen, Soumik Mondal |
| 2025 | Monte Carlo-Type Neural Operator for One-Dimensional Differential Equations. Salah Eddine Choutri, Prajwal Chauhan, Othmane Mazhar, Saif Eddin Jabari |
| 2025 | Morphology-Inspired Optimization with Deep Learning for Sedimentary Particle Segmentation in Petrographic Microscope Images. Tahmid Anjum Bin Haroon, Md. Golam Kibria, Md Belayat Hossain |
| 2025 | Multi-Agent Behavior Cloning for Modeling Realistic Adversaries in Air Combat Simulations. Andreas Strand, Karsten Brathen, Martin Asprusten, Patrick Gorton |
| 2025 | Multiclass Hate Speech Detection: Evaluating 303 Model Configurations Across Traditional Machine Learning, Deep Learning, and Transformer Approaches. Mahmoud Abusaqer, Khalid Hasan, Jamil Saquer |
| 2025 | Multimodal Foundation Models for Zero-Shot Water Stress Forecasting in Precision Agriculture. Seyed Hamidreza Nabaei, Zeyang Zheng, Dong Chen, Arsalan Heydarian |
| 2025 | Multitask Contrastive Learning using Task-Wise Training and Partitioned Embedding Space. M. Shifat Hossain, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz |
| 2025 | NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description. Hamed Jelodar, Mohammad Meymani, Parisa Hamedi, Tochukwu Emmanuel Nwankwo, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani |
| 2025 | NORA: A Nephrology-Oriented Representation Learning Approach Towards Chronic Kidney Disease Classification. Mohammad Abdul Hafeez Khan, Twisha Bhattacharyya, Omar Khan, Noorah Khan, Alina Aziz Fatima Khan, Mohammed Qutub Khan, Sujoy Ghosh Hajra |
| 2025 | NeuCODEX: Edge-Cloud Co-Inference with Spike-Driven Compression and Dynamic Early-Exit. Maruf Hassan, Steven Davy, Muhammad Zawish, Owais Bin Zuber, Nouman Ashraf |
| 2025 | Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting. Abdullah Tariq Choudhry, Vivek K. Pallipuram |
| 2025 | Object Identification Under Known Dynamics: A PIRNN Approach for UAV Classification. Nyi Nyi Aung, Neil Muralles, Adrian Stein |
| 2025 | Offline Reinforcement Learning Benchmark for Variable Speed Limit Control with Real-World Dataset. Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Gautam Biswas, Daniel B. Work |
| 2025 | Optical Character Recognition for Pre-Digital Historical Documents using Large Language Models. Chreston Miller, Bipasha Banerjee |
| 2025 | Optimizing Equitable Access to Opportunities within Salesforce Networks using Reinforcement Learning-Driven Graph Augmentation. Sharan Sukesh |
| 2025 | Oracle-Guided Soft Shielding for Safe Move Prediction in Chess. Prajit T. Rajendran, Fabio Arnez, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha |
| 2025 | Out-of-the-Box Uncertainty: Reducing Confident Errors with Dirichlet Classifiers. Courtney Franzen, Farhad Pourkamali-Anaraki |
| 2025 | PEPS: Quantum-Inspired Reinforcement Learning for Coherent Reasoning Traces in LLMs. Venkat Margapuri, Garik Kazanjian, Naren Kosaraju |
| 2025 | Perception-based multiplicative noise removal with Diffusion models. An Vuong, Thinh Nguyen |
| 2025 | Physics-Informed Neural Networks for Soil Moisture Modeling and Landslide Assessment. Shelly Gupta, Jovan Andjelkovic, Abhudaya Shrivastava, Atsuhiro Muto, Zoran Obradovic |
| 2025 | Pi-talk: Edge-Only, Adapter-Tuned Multimodal Small Language Model for Safe, Real-Time In-Vehicle Dialogue. Alex Pissinou Makki, Vahid Tarokh, Louis Lago Enamorado, Carlos Carroz, Miguel Garcia, Niki Pissinou |
| 2025 | Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds. Gunner Stone, Youngsook Choi, Alireza Tavakkoli, Ankita Shukla |
| 2025 | Post-training Quantization without BN Statistics: A Data Free Approach. Akash Chavan, Sumit Kumar Jha, Sunny Raj |
| 2025 | Predicting Wildfire Spread with Attention U-Net: A Multi-Feature Geospatial Deep Learning Approach. Khalil I. Almakrami, Rose Atuah, Michael P. McGuire |
| 2025 | Privacy-Preserving Model Compression: Adaptive Pruning for Federated Split Learning of LLMs. Dinesh Chowdary Attota, Linh Le, Ying Xie |
| 2025 | Privacy-Preserving Multimodal Stress Detection from Wearables with Attention Fusion and Federated Learning. Mohd. Farhan Israk Soumik, Hussein Zangoti, Ebrahim Maghsoudlou, Awal Ahmed Fime, Ahmed Imteaj, Abdur R. Shahid |
| 2025 | Progressive Searching for Retrieval in RAG. Taehee Jeong, Xingzhe Zhao, Peizu Li, Markus Valvur, Weihua Zhao |
| 2025 | Prompt Learner for Industrial Anomaly Detection: Towards Generalizable Multimodal Defect. Yen-Han Chiang, Pablo Mollá, Yi-Lun Pan, Yi-Ju Tseng, Vincent S. Tseng |
| 2025 | QMIX-Based Multi-Agent Reinforcement Learning for Coordinated Tourist Recommendation with Crowd Management. Kuiche Sop Brinda Leaticia, Yuyan Luo, Kombou Victor, Anto Leoba Jonathan |
| 2025 | QSeg: Quantum - Classical Segmentation Model for Breast Cancer Images. Nadine Matondo-Mvula, Khaled Elleithy |
| 2025 | Real-Time Remaining Useful Life Prediction with LSTM Priority Resampling. Tori Wright, Bulent Soykan, Sean C. Mondesire |
| 2025 | Reconstruction-Free Classification for Lensless Imaging Systems. Pramil Paudel, Fengjun Li |
| 2025 | Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting. Mohammad Dehghanmanshadi, Wallapak Tavanapong |
| 2025 | Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers. Mark Fullton, Xiaojun Ruan, Xunfei Jiang, Mahdi Ebrahimi |
| 2025 | Reinforcement Learning and 3D Chirogram Representation for Blind Source Separation. Bingcheng Li |
| 2025 | Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks. Grant King, Musa Azeem, Savannah Noblitt, Ramtin Zand, Homayoun Valafar |
| 2025 | RespFormer: A Motion-Guided Temporal-Frequency Multimodal Fusion Transformer for Contactless Respiratory Monitoring. Shadman Sakib, Gaurav Shinde, Snehalraj Chugh, Mohammad Saeid Anwar, Nirmalya Roy |
| 2025 | Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation. Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta |
| 2025 | Return-to-Work Classification of Occupational Injury Claims via Rank-Ordering. Gonzalo A. Vivian, Chelsea M. Zuvieta, Taghi M. Khoshgoftaar |
| 2025 | Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting. Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka |
| 2025 | Robot Learning Framework using Behavioral Cloning and Gaussian Mixture Model (BC-GMM) for Sorting Tasks. Hambal Tella, Prajyot Patil, Maria Kyrarini |
| 2025 | SAM2LoRA: Composite Loss-Guided, Parameter-Efficient Finetuning of SAM2 for Retinal Fundus Segmentation. Sayan Mandal, Divyadarshini Karthikeyan, Manas Paldhe |
| 2025 | SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization. Seraj Al Mahmud Mostafa, Aravind Mohan, Jianwu Wang |
| 2025 | SR4-Fit: An Interpretable and Informative Classification Algorithm Applied to Prediction of U.S. House of Representatives Elections. Shyam Sundar Murali Krishnan, Dean Frederick Hougen |
| 2025 | Scientific Crosstalk: Analyzing Sentiment-Topic Alignment in Personal and Scientific Discourse. Praveshika Bhandari, Connor Z. Young, Jan P. Springer, Aryabrata Basu |
| 2025 | SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair. Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Relsy Puthal, Kaustik Ranaware |
| 2025 | Semantic Segmentation of Kale Plant Images Using Deep Learning for Phenotypic Feature Analysis. Halima Audu, Varun Kumar Reddy Dodda, Ruth Agada, Jie Yan, Anne Osano, George Ude, Supriyo Ray |
| 2025 | Semi-Dense Feature Matching via Mamba-Based Knowledge Distillation. José Medina, Helena Sokk, Amnir Hadachi |
| 2025 | ShelfRectNet: Single View Shelf Image Rectification with Homography Estimation. Onur Berk Tore, Ibrahim Samil Yalçiner, Server Calap |
| 2025 | Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models. Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar |
| 2025 | SkewFuse: Unsupervised Confidence-Guided Rank Fusion for Multi-View Image Retrieval. Enis Teper, Mustafa Keskin, Emre Rençberoglu, Yusuf Hüseyin Sahin |
| 2025 | Sliced-Wasserstein Distance-based Data Selection. Julien Pallage, Antoine Lesage-Landry |
| 2025 | Solving Math Word Problems Using Estimation Verification and Equation Generation. Mitchell Piehl, Dillon Wilson, Ananya Kalita, Jugal Kalita |
| 2025 | Sparse RNNs in Reinforcement Learning Applications. Quincy Hershey, Randy C. Paffenroth |
| 2025 | Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression. Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka |
| 2025 | Spectral and Spatial Graph Learning for Multispectral Solar Image Compression. Prasiddha Siwakoti, Atefeh Khoshkhahtinat, Piyush M. Mehta, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva |
| 2025 | Spontaneous organization of diverse human color representations: from trichromacy to dichromacy in neural networks trained with retina-like inputs. Asaki Kataoka, Nipun Ravindu Wickramanayaka, Yu Togashi, Masafumi Oizumi |
| 2025 | State of Health estimation of Li-ion cells via internal degradation modes identification and physics-informed machine learning. Quentin Bigouraux, Vincent Heiries, Saifeddine Aloui, Antoine Laurin, Marion Chandesris |
| 2025 | Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents. Jonathan Keane, Sam Keyser, Jeremy Kedziora |
| 2025 | Street2Air: A Framework for Synthesizing Aerial Vehicle Views from Ground Images. Md Rubel Ahmed, Fazle Rahat, M. Shifat Hossain, Sumit Kumar Jha, Rickard Ewetz |
| 2025 | Structural Damage Detection Using AI Super Resolution and Vision Language Model. Catherine Hoier, Khandaker Mamun Ahmed |
| 2025 | Supervised Contrastive Disentanglement for Classification. Joshua Luo, Luke Zhong, Feiyang Cai, Long Cheng |
| 2025 | Survival Analysis for Employee Retention Prediction in Retail and Trade Sector Organizations. Ariel Gonzalez Batista, Xingquan Zhu |
| 2025 | TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization. Jayetri Bardhan, Bushi Xiao, Daisy Zhe Wang |
| 2025 | Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models. Shriyank Somvanshi, Pavan Hebli, Gaurab Chhetri, Subasish Das |
| 2025 | Topology of Out-of-Distribution Examples in Deep Neural Networks. Esha Datta, Johanna Hennig, Eva Domschot, Connor Mattes, Michael R. Smith |
| 2025 | Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator. Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk |
| 2025 | Toward Unified Moderation of Cyberbullying Across Social Media and Video Games. David Cong, Keyan Guo, Hongxin Hu |
| 2025 | Towards Reliable Reasoning in Vision-Language Models. Chinh Hoang, Youssef Nassef, Mohammad Rashedul Hasan |
| 2025 | Troll Detection in Reddit Using Combined Machine Learning classifiers, Deep Learning, and Human-in-the-Loop Analysis. Rafeef Baamer, Mihai Boicu |
| 2025 | Trust-Aware Human-AI Teaming Framework for Fake News Detection Using LLMs. Abdul Muntakim, Sai Sanjay Potluri, Md Abdullah Al Hafiz Khan, Yong Pei |
| 2025 | Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels. Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu |
| 2025 | Unitary Vision: Deep Learning with Information Decorrelation for Signal Reconstruction. Steven Tate, Randy C. Paffenroth |
| 2025 | Unsupervised Feature Extraction using Convolutional Autoencoder for Credit Card Fraud Detection. Zahra Salekshahrezaee, Mary Anne Walauskis, Taghi M. Khoshgoftaar |
| 2025 | VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition. Soham Khisa, Avijoy Chakma |
| 2025 | YOLO-Based Object Detection for Automated Identification of IVC Filters in Abdominal CT Imaging. Mykle Buhrow, Ian Nie, Naeem Seliya, Joseph C. Wildenberg, Rahul Gomes |
| 2025 | iDiffODE: Learning Continuous-Time Latent Dynamics for Generative Spatiotemporal Modeling. Sai Deepthi Yeddula, Abhijeet Bhattacharya, Chen Jiang |