Diagnosing Parkinson Disease Through Facial Expression Recognition: Video Analysis

Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension

A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing

Unsupervised EEG feature extraction based on echo state network

A Treatment Engine by Predicting Next-Period Prescriptions

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining

Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data

Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction

Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods

Which Doctor to Trust: A Recommender System for Identifying the Right Doctors

Efficient Methods for Multi-label Classification