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Data Science & Analytics

4,995 papers (1 classified directly here)

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Papers (including subtopics)

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NeurIPS 2024 KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation IJCAI 2024 Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024 K-means and hierarchical clustering of f0 contours Interspeech 2024 Knowledge-Aware Explainable Reciprocal Recommendation AAAI 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval CVPR 2024 Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature EMNLP 2024 Knowledge-Powered Recommendation for an Improved Diet Water Footprint AAAI 2024 KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora COLING 2024 Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping NeurIPS 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection IJCAI 2024 Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency COLING 2024 Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024 Large Language Models for Time Series: A Survey IJCAI 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering CVPR 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024 Learning Causal Relations from Subsampled Time Series with Two Time-Slices ICML 2024