Papers
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao et al.
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance
Wenjie Ruan, Min Wu, Youcheng Sun et al.
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction
Zhi Qiao, Xian Wu, Shen Ge et al.
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network
Donghyeon Park, Keonwoo Kim, Yonggyu Park et al.
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies
Muhammad Masood, Finale Doshi-Velez
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
Jinning Li, Yexiang Xue
Truly Batch Apprenticeship Learning with Deep Successor Features
Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.
Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum et al.
RDPD: Rich Data Helps Poor Data via Imitation
Shenda Hong, Cao Xiao, Trong Nghia Hoang et al.
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Shenda Hong, Cao Xiao, Tengfei Ma et al.
CounterFactual Regression with Importance Sampling Weights
Negar Hassanpour, Russell Greiner
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers
Xavier Gitiaux, Huzefa Rangwala
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet
DDL: Deep Dictionary Learning for Predictive Phenotyping
Tianfan Fu, Trong Nghia Hoang, Cao Xiao et al.
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher et al.
Enhancing Stock Movement Prediction with Adversarial Training
Fuli Feng, Huimin Chen, Xiangnan He et al.
The Price of Local Fairness in Multistage Selection
Vitalii Emelianov, George Arvanitakis, Nicolas Gast et al.
PI-Bully: Personalized Cyberbullying Detection with Peer Influence
Lu Cheng, Jundong Li, Yasin Silva et al.
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation
Dawei Cheng, Yi Tu, Zhenwei Ma et al.
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun et al.
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion
Katia Bourahmoune, Toshiyuki Amagasa
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
Serena Booth, Christian Muise, Julie Shah
Decision Making for Improving Maritime Traffic Safety Using Constraint Programming
Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
Andrea Aler Tubella, Andreas Theodorou, Frank Dignum et al.
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
Alireza Abedin, S. Hamid Rezatofighi, Qinfeng Shi et al.