Cs-Lg
Quantifying the Performance of Federated Transfer Learning
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Improving part-of-speech tagging via multi-task learning and character-level word representations
Algorithm for Training Neural Networks on Resistive Device Arrays
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
Proximal Reliability Optimization for Reinforcement Learning
Detection of fraudulent users in P2P financial market
Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization
Intent Inference and Syntactic Tracking with GMTI Measurements
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS
Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics
Deep Learning for Prostate Pathology
A generalized risk approach to path inference based on hidden Markov models
Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations
Associating Natural Language Comment and Source Code Entities
The impact of imbalanced training data on machine learning for author name disambiguation
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks
Comparative Performance Analysis of Image De-noising Techniques
A Robust Image Watermarking System Based on Deep Neural Networks
