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On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Recognition of User's Activity for Adaptive Cooperative Assistance in robotic surgery
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
On combining Big Data and machine learning to support eco-driving behaviours
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
GIS-based ensemble soft computing models for landslide susceptibility mapping
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Predicting the global structure of indoor environments: A constructive machine learning approach
Prediction of aircraft performances based on data collected by air traffic control centers
Activity Recognition with Wearable Sensors on Loose Clothing
Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions
Traffic campaigns and overconfidence: An experimental approach