| 2024 | $p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract). Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet M. Dalkilic |
| 2024 | 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024 |
| 2024 | A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development. Juan C. Armijos, Garik Avagyan, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio |
| 2024 | A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet M. Dalkilic |
| 2024 | A Novel Particle Swarm Optimization Algorithm for Meta-Heuristic Analysis Mechanism Based on Population Learning Strategies and Adaptive Selection of Leadership Particles. Yuheng Wu, Xingyu Zhu, Wenxu Zhao, Xiaona Xia |
| 2024 | AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities. Do Hyung Kim, Joonsung Lee, Taehwi Lee, Soeun Baek, Seonghyun Jin, Haeun Yoo, Youngeun Cho, SeongHyeon Park, Kwangsu Cho, Chang-Gun Lee |
| 2024 | Accurate Estimation of Cross-Excitation in Multivariate Hawkes Process Models of Infectious Diseases. Youness Diouane, Frederic Schoenberg, George O. Mohler |
| 2024 | AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap |
| 2024 | Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu |
| 2024 | Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Filippo Pallucchini |
| 2024 | An Biometric Model for Iris Images Segmentation and Deep Learning Classification. Nawaf Abdualziz Almolhis |
| 2024 | An Online Calibration Method for Robust Multi-Modality 3D Object Detection. Xingyu Li, Yige Yao, Jianming Hu, Zhidong Deng |
| 2024 | Architecture Design: From Neural Networks to Foundation Models. Grigorios Chrysos |
| 2024 | Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering. Alibek Zhakubayev, Greg Hamerly |
| 2024 | Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting. Polina Proskura, Alexey Zaytsev |
| 2024 | CL-FML: Cluster-Based & Label-Aware Federated Meta-Learning for On-Demand Classification Tasks. Tahani Aladwani, Christos Anagnostopoulos, Shameem Puthiya Parambath, Fani Deligianni |
| 2024 | Can Large Language Models be Anomaly Detectors for Time Series? Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni |
| 2024 | Coded Term Discovery for Online Hate Speech Detection. Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz |
| 2024 | Collaborative Intrusion Detection System for Intermittent 10 Vs Using Federated Learning and Deep Swarm Particle Optimization. Farhan Ullah, Gautam Srivastava, Leonardo Mostarda, Diletta Cacciagrano |
| 2024 | Data Augmentation's Effect on Machine Learning Models when Learning with Imbalanced Data. Damien A. Dablain, Nitesh V. Chawla |
| 2024 | Deep Contrastive Active Learning for Out-of-domain Filtering in Dialog Systems. Roland Oruche, Marcos Zampieri, Prasad Calyam |
| 2024 | Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer. Yu Bai, Songyan Han, Qin Wei, Haisheng Hui, Guohao Feng, Yongqiang Cheng, Jianxia Liu |
| 2024 | Diffusion Models for Cross-Domain Image-to-Image Translation with Paired and Partially Paired Datasets. Trisk Bell, Dan Li |
| 2024 | Discovering Structural Regularities in Time Series via Gaussian Processes. Jan David Hüwel, Christian Beecks |
| 2024 | Efficient Data Completion and Augmentation. Antonina Krajewska, Ewa Niewiadomska-Szynkiewicz |
| 2024 | Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin |
| 2024 | Estimate and Reduce Uncertainty in Uncertain Graphs. Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi |
| 2024 | Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract). Annat Koren, Chandler Underwood, Edoardo Serra, Francesca Spezzano |
| 2024 | Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function. Neha Pant, Durga Toshniwal, Bhola Ram Gurjar |
| 2024 | Global-Local Unified Cross-View Enhancing Framework for Person Re-Identification. Tianran Chen, Chen Chen, Yichao Zhou, Xiyuan Hu |
| 2024 | HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas |
| 2024 | Human Evaluation of GPT for Scalable Python Programming Exercise Generation. Muhammad Fawad Akbar Khan, Max Ramsdell, Ha Nguyen, Hamid Karimi |
| 2024 | Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-Grained Motor Behavior Recognition. Cheng Liu, Xuyang Yan, Zekun Zhang, Cheng Ding, Tianhao Zhao, Shaya Jannati, Cynthia Martinez, Dietrich Stout |
| 2024 | Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. Karanjot Singh Saggu, Paula Branco, Guy-Vincent Jourdan |
| 2024 | Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks. Xiyao Cheng, Lakshmi Srinivas Edara, Yuanxun Zhang, Mayank Kejriwal, Prasad Calyam |
| 2024 | Inter-Frame Multiscale Probabilistic Cross-Attention for Surveillance Object Detection. Huanhuan Xu, Xiyuan Hu, Yichao Zhou |
| 2024 | Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape. Fynn Oldenburg, Qiwei Han, Maximilian Kaiser |
| 2024 | Interpretable and Explainable Time Series Mining. Panagiotis Papapetrou, Zed Lee |
| 2024 | Let Me Generate That for You: Generative Data Augmentation for Misinformation Detection in Low-Resource Environments. Autumn Toney-Wails, Lisa Singh |
| 2024 | Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). Christoph Düsing, Philipp Cimiano, Benjamin Paaßen |
| 2024 | Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification. Ashish Kumar, Durga Toshniwal |
| 2024 | MIS-ME: A Multi-Modal Framework for Soil Moisture Estimation. Mohammed Rakib, Adil Aman Mohammed, D. Cole Diggins, Sumit Sharma, Jeff Michael Sadler, Tyson E. Ochsner, Arun Bagavathi |
| 2024 | Magazine Supply Optimization: A Case-Study. Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau |
| 2024 | Masked Contrastive Representation Learning for Self-Supervised Visual Pre-Training. Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami |
| 2024 | Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu |
| 2024 | MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu |
| 2024 | MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization. Daniel Ebi, Edouard Fouché, Marco Heyden, Klemens Böhm |
| 2024 | Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu |
| 2024 | More Options for Prelabor Rupture of Membranes, A Bayesian Analysis. Ashley Klein, Edward Raff, Elisabeth Seamon, Lily Foley, Timothy Bussert |
| 2024 | Multi-View Relational Evidential C-Medoid Clustering with Adaptive Weighted. Armel Soubeiga, Violaine Antoine, Sylvain Moreno |
| 2024 | No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity. Emily Schiller, Simon Müller, Kathrin Ebertsch, Jan-Philipp Steghöfer |
| 2024 | PAW: A Deep Learning Model for Predicting Amplitude Windows in Seismic Signals. Ariana M. Villegas-Suarez, Delaine Reiter, Jonathan Rolfs, Abdullah Mueen |
| 2024 | Predicting the Survival Period of Non-Small Cell Lung Cancer Based on Deep Learning. Guohao Feng, Songyan Han, Qin Wei, Haisheng Hui, Yu Bai, Yongqiang Cheng, Jianxia Liu |
| 2024 | Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic. Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo |
| 2024 | PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media. Mengli Yu, Yizhunan Zhou, Jiahui Wang, Zhenkun Zhou |
| 2024 | Rethinking Security: The Resilience of Shallow ML Models (Extended Abstract). Rafael Teixeira, Mário Antunes, João Paulo Barraca, Diogo Gomes, Rui L. Aguiar |
| 2024 | SMP-Track: SAM in Multi-Pedestrian Tracking. Shiyin Wang, Huafeng Liu, Qiong Wang, Yichao Zhou, Yazhou Yao |
| 2024 | Semi-Supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network. Nícolas Roque dos Santos, Diego Minatel, Alan Demétrius Baria Valejo, Alneu de Andrade Lopes |
| 2024 | Statistically Inspired Discrepancy Detection for Anomalous Spatio-Temporal Graphs (Extended Abstract). Atharv Tiwari, Shreyash Chatterjee, Siddharth Padmakumar, Sushanth Nair, Bhaskarjyoti Das |
| 2024 | Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution. Haisheng Hui, Xueying Zhang, Fenglian Li, Zelin Wu |
| 2024 | Time Series Data Mining: A Unifying View. Eamonn J. Keogh |
| 2024 | Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract. Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang |
| 2024 | Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder |
| 2024 | UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement. Yingtie Lei, Jia Yu, Yihang Dong, Changwei Gong, Ziyang Zhou, Chi-Man Pun |
| 2024 | UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam |
| 2024 | Using Annealing to Accelerate Triangle Inequality k-means. Alibek Zhakubayev, Greg Hamerly |
| 2024 | Using Hypervectors for Efficient Anomaly Detection in Graph Streams. William Arliss, Andrew B. Godbehere, Graham Mueller |
| 2024 | Utilizing Structural Metrics from Knowledge Graphs to Enhance the Robustness Quantification of Large Language Models (Extended Abstract). Mohd Ariful Haque, Marufa Kamal, Roy George, Kishor Datta Gupta |
| 2024 | Validating Arbitrary Shaped Clusters - A Survey. Georg Stefan Schlake, Christian Beecks |