Data Science & Analytics

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization ICML 2024 Eesthetic: A Paralex Lexicon of Estonian Paradigms COLING 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024 Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation Extended Abstract COLT 2024 Efficient Centroid-Linkage Clustering NeurIPS 2024 Efficient Correlated Subgraph Searches for AI-powered Drug Discovery IJCAI 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards EMNLP 2024 Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation EMNLP 2024 EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World CVPR 2024 Electroglottography for the assessment of dysphonia in Parkinson's disease and multiple system atrophy Interspeech 2024 EmFORE: Learning Email Folder Classification Rules by Demonstration AAAI 2024 Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024 Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity EMNLP 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration AAAI 2024 Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models ACL 2024 Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024 Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights AAAI 2024 Enhancing High-order Interaction Awareness in LLM-based Recommender Model EMNLP 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction EMNLP 2024 Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach IJCAI 2024