Data Science & Analytics

MmCows: A Multimodal Dataset for Dairy Cattle Monitoring NeurIPS 2024 Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NeurIPS 2024 Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM COLING 2024 Model Assessment and Selection under Temporal Distribution Shift ICML 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 MOMENT: A Family of Open Time-series Foundation Models ICML 2024 More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages EMNLP 2024 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024 MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract) AAAI 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 MULTICOLLAB: A Multimodal Corpus of Dialogues for Analyzing Collaboration and Frustration in Language COLING 2024 Multidimensional Fractional Programming for Normalized Cuts NeurIPS 2024 Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search AAAI 2024 Multi-Domain Recommendation to Attract Users via Domain Preference Modeling AAAI 2024 Multi-latency look-ahead for streaming speaker segmentation Interspeech 2024 Multilingual Topic Classification in X: Dataset and Analysis EMNLP 2024 Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions ICML 2024 Multi-Relational Structural Entropy UAI 2024 Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024 Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024 Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract) AAAI 2024 Multi-View Stochastic Block Models ICML 2024 MuseChat: A Conversational Music Recommendation System for Videos CVPR 2024