Data Science & Analytics

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach EMNLP 2024 Decomposable Submodular Maximization in Federated Setting ICML 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics JMLR 2024 DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings EACL 2024 DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NeurIPS 2024 Delegation-Relegation for Boolean Matrix Factorization AAAI 2024 Deletion-Anticipative Data Selection with a Limited Budget ICML 2024 Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Design of a Data-driven Intervention Dashboard for SDG Localization IJCAI 2024 Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) IJCAI 2024 Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter EMNLP 2024 Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bioethics, standards, and DEI. Interspeech 2024 Development of a Benchmark Corpus for Medical Device Adverse Event Detection COLING 2024 DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization AAAI 2024 Differentially private exact recovery for stochastic block models ICML 2024 Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering ICML 2024 Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024 DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ACL 2024 Discovering Mixtures of Structural Causal Models from Time Series Data ICML 2024