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Data Science & Analytics

4,995 papers (1 classified directly here)

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Papers (including subtopics)

Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation IJCAI 2018 Zero-Shot Sketch-Image Hashing CVPR 2018 Accelerated Local Anomaly Detection via Resolving Attributed Networks IJCAI 2017 A Continuously Growing Dataset of Sentential Paraphrases EMNLP 2017 Adaptive Clustering through Semidefinite Programming NeurIPS 2017 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017 Affinity Clustering: Hierarchical Clustering at Scale NeurIPS 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 A Meta-Learning Perspective on Cold-Start Recommendations for Items NeurIPS 2017 A Model for Accountable Ordinal Sorting IJCAI 2017 An analysis of eye-movements during reading for the detection of mild cognitive impairment EMNLP 2017 An Automatic Approach for Document-level Topic Model Evaluation CoNLL 2017 An Empirical Analysis of Edit Importance between Document Versions EMNLP 2017 App Download Forecasting: An Evolutionary Hierarchical Competition Approach IJCAI 2017 Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search NeurIPS 2017 Audience Segmentation in Social Media EACL 2017 Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks EACL 2017 Balancing information exposure in social networks NeurIPS 2017 Basket-Sensitive Personalized Item Recommendation IJCAI 2017 Bayesian Boolean Matrix Factorisation ICML 2017 Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017 Beyond Binary Labels: Political Ideology Prediction of Twitter Users ACL 2017 Beyond Parity: Fairness Objectives for Collaborative Filtering NeurIPS 2017 Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means IJCAI 2017