Data Science & Analytics
4,995 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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33
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48
62
73
103
87
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122
183
242
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515
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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