Papers
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz et al.
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Siddharth Biswal, Cao Xiao, Lucas M. Glass et al.
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Tian Bian, Xi Xiao, Tingyang Xu et al.
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers
Jing Zhang, Huihui Wang, Shunmei Meng et al.
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management
Wenlin Yao, Cheng Zhang, Shiva Saravanan et al.
Protecting Geolocation Privacy of Photo Collections
Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
Weak Supervision for Fake News Detection via Reinforcement Learning
Yaqing Wang, Weifeng Yang, Fenglong Ma et al.
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
On Identifying Hashtags in Disaster Twitter Data
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
Capturing the Style of Fake News
Piotr Przybyla
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass et al.
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response
Chris Piech, Ali Malik, Laura M. Scott et al.
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism
Prashant Pandey, Prathosh AP, Manu Kohli et al.
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas
Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell et al.
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo
Kei Yin Ng, Anna Feldman, Jing Peng
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
John Kalantari, Heidi Nelson, Nicholas Chia
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Sungwon Han, Donghyun Ahn, Hyunji Cha et al.
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
Mononito Goswami, Lujie Chen, Artur Dubrawski
Faking Fairness via Stealthily Biased Sampling
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar et al.
Inferring Nighttime Satellite Imagery from Human Mobility
Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla et al.
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives
Shivang Chopra, Ramit Sawhney, Puneet Mathur et al.
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani et al.
Tracking Disaster Footprints with Social Streaming Data
Lu Cheng, Jundong Li, K. Selcuk Candan et al.
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection
Dawei Cheng, Sheng Xiang, Chencheng Shang et al.