Papers
A Convolutional Approach for Misinformation Identification
Feng Yu, Qiang Liu, Shu Wu et al.
Fast Network Embedding Enhancement via High Order Proximity Approximation
Cheng Yang, Maosong Sun, Zhiyuan Liu et al.
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
Yanyu Xu, Nianyi Li, Junru Wu et al.
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model
Jie Xu, Cheng Deng, Xinbo Gao et al.
Online Reputation Fraud Campaign Detection in User Ratings
Chang Xu, Jie Zhang, Zhu Sun
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing
Qikun Xiang, Jie Zhang, Ido Nevat et al.
Predicting the Quality of Short Narratives from Social Media
Tong Wang, Ping Chen, Boyang Li
Interactive Narrative Personalization with Deep Reinforcement Learning
Pengcheng Wang, Jonathan Rowe, Wookhee Min et al.
The Minds of Many: Opponent Modeling in a Stochastic Game
Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
Guangyao Shen, Jia Jia, Liqiang Nie et al.
A Monte Carlo Tree Search approach to Active Malware Analysis
Riccardo Sartea, Alessandro Farinelli
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects
Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus
When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty
Ariel Rosenfeld, Sarit Kraus
Cognitive-Inspired Conversational-Strategy Reasoner for Socially-Aware Agents
Oscar J. Romero, Ran Zhao, Justine Cassell
Unified Representation and Lifted Sampling for Generative Models of Social Networks
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach
Lahari Poddar, Wynne Hsu, Mong Li Lee
Thwarting Vote Buying Through Decoy Ballots
David C. Parkes, Paul Tylkin, Lirong Xia
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling
Kartik Palani, Ramachandra Kota, Amar Prakash Azad et al.
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources
Sara Marie Mc Carthy, Phebe Vayanos, Milind Tambe
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training
Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou et al.
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao et al.
How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source
Jiaqing Liang, Sheng Zhang, Yanghua Xiao
Defending Against Man-In-The-Middle Attack in Repeated Games
Shuxin Li, Xiaohong Li, Jianye Hao et al.
Exploring Personalized Neural Conversational Models
Satwik Kottur, Xiaoyu Wang, Vitor Carvalho