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Data Science & Analytics

4,995 papers (1 classified directly here)

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Papers (including subtopics)

Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics EMNLP 2020 Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success EMNLP 2020 Hermitian matrices for clustering directed graphs: insights and applications AISTATS 2020 Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series UAI 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 2020 Hierarchical Clustering: A 0.585 Revenue Approximation COLT 2020 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020 High Dimensional Forecasting via Interpretable Vector Autoregression JMLR 2020 High-recall causal discovery for autocorrelated time series with latent confounders NeurIPS 2020 HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets AAAI 2020 How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NeurIPS 2020 Human Values and Digital Patterns in Physical Exercise (Extended Abstract) IJCAI 2020 HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network IJCAI 2020 Hypothetical Answers to Continuous Queries over Data Streams AAAI 2020 Identifying Annotator Bias: A new IRT-based method for bias identification COLING 2020 I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract) AAAI 2020 Image Hashing via Linear Discriminant Learning WACV 2020 I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic EMNLP 2020 Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation AAAI 2020 Improved Local Citation Recommendation Based on Context Enhanced with Global Information EMNLP 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Inferring Nighttime Satellite Imagery from Human Mobility AAAI 2020 Influenza Forecasting Framework based on Gaussian Processes ICML 2020 Information retrieval for animal disease surveillance: a pattern-based approach. EMNLP 2020