Papers
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis
Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi
The Kelly Growth Optimal Portfolio with Ensemble Learning
Weiwei Shen, Bin Wang, Jian Pu et al.
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma et al.
PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data
Patrick Schwab, Walter Karlen
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir DE, Gourhari Jana et al.
Building Causal Graphs from Medical Literature and Electronic Medical Records
Galia Nordon, Gideon Koren, Varda Shalev et al.
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu, Lin Gu, Feng Lu et al.
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
Dong Nie, Li Wang, Lei Xiang et al.
Scalable Robust Kidney Exchange
Duncan C McElfresh, Hoda Bidkhori, John P Dickerson
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction
Tianle Ma, Aidong Zhang
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer
Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang et al.
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Chengqiang Lu, Qi Liu, Chao Wang et al.
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Xiao Liu, Xiaoting Li, Rupesh Prajapati et al.
Joint Representation Learning for Multi-Modal Transportation Recommendation
Hao Liu, Ting Li, Renjun Hu et al.
Perceptual-Sensitive GAN for Generating Adversarial Patches
Aishan Liu, Xianglong Liu, Jiaxin Fan et al.
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin, Jie Feng, Ziyang Lu et al.
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Zhongnian Li, Tao Zhang, Peng Wan et al.
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong et al.
Adversarial Learning for Weakly-Supervised Social Network Alignment
Chaozhuo Li, Senzhang Wang, Yukun Wang et al.
Traffic Updates: Saying a Lot While Revealing a Little
John Krumm, Eric Horvitz
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
Hoon Kim, Kangwook Lee, Gyeongjo Hwang et al.
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Jan Karwowski, Jacek Mańdziuk, Adam Żychowski et al.
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T.K. Jan, Joseph Messou, Yen-Chen Lin et al.
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang, Hang Su, Jun Zhu et al.
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi et al.