Data Science & Analytics

User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Using Noisy Self-Reports to Predict Twitter User Demographics NAACL 2021 Using Remote Sensing Imagery and Machine Learning to Predict Poaching in Wildlife Conservation Parks AAAI 2021 Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender EMNLP 2021 Using Transposed Convolution for Articulatory-to-Acoustic Conversion from Real-Time MRI Data Interspeech 2021 Using Unsupervised Learning for Data-driven Procurement Demand Aggregation AAAI 2021 Using Word Embedding to Reveal Monetary Policy Explanation Changes EMNLP 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021 Visualizing Cross‐Lingual Discourse Relations in Multilingual TED Corpora EMNLP 2021 VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification Interspeech 2021 Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping ICCV 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021 Whiz: Data-Driven Analytics Execution NSDI 2021 Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021 Written Justifications are Key to Aggregate Crowdsourced Forecasts EMNLP 2021 XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors AAAI 2021 Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting ICML 2021 2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020 A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time IJCAI 2020 A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward) IJCAI 2020 A Corpus for Outbreak Detection of Diseases Prevalent in Latin America CoNLL 2020 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NeurIPS 2020 Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020