Data Science & Analytics

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction AAAI 2020 Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020 Interactive Construction of User-Centric Dictionary for Text Analytics ACL 2020 Interactive Rare-Category-of-Interest Mining from Large Datasets AAAI 2020 Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation IJCAI 2020 Interpretable Sequence Learning for Covid-19 Forecasting NeurIPS 2020 Interpreting Twitter User Geolocation ACL 2020 Intrinsic Evaluation of Summarization Datasets EMNLP 2020 Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction AAAI 2020 Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping PGM 2020 Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020 Item-based Collaborative Filtering with BERT ACL 2020 Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract) AAAI 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 KFC: A Scalable Approximation Algorithm for k−center Fair Clustering NeurIPS 2020 Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise JMLR 2020 Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings NeurIPS 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect UAI 2020 Learning CNF Blocking for Large-scale Author Name Disambiguation EMNLP 2020 Learning Geo-Contextual Embeddings for Commuting Flow Prediction AAAI 2020 Learning in situ: a randomized experiment in video streaming NSDI 2020 Learning Mixed Latent Tree Models JMLR 2020 Learning Robust Models for e-Commerce Product Search ACL 2020 Learning to Match on Graph for Fashion Compatibility Modeling AAAI 2020