Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion

Training and Testing Texture Similarity Metrics for Structurally Lossless Compression

Training Generative Adversarial Networks via Stochastic Nash Games

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

Practical Product Development Challenges

Weakly-supervised Learning for Fine-grained Emotion Recognition using Physiological Signals

A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT

Efficiency of Double-barrier Magnetic Tunnel Junction-based Digital eNVM Array for Neuro-Inspired Computing

Shape Sensing of Flexible Robots Based on Deep Learning

New investments in phosphorus research and training are paramount for Brazilian long-term environmental and food security

Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Temporal Network Prediction and Interpretation

Secure Logistic Regression for Vertical Federated Learning

Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning

Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures

Learning for Control: An Inverse Optimization Approach

Efficient Jacobian-Based Inverse Kinematics With Sim-to-Real Transfer of Soft Robots by Learning

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning