Reinforcement learning of potential fields to achieve limit-cycle walking

A search-based training algorithm for cost-aware defect prediction

Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy

Revisiting Urban Dynamics through Social Urban Data: Methods and tools for data integration, visualization, and exploratory analysis to understand the spatiotemporal dynamics of human activity in cities

POD-DEIM model order reduction for strain softening viscoplasticity

Deep Learning Object-Recognition in a Design-to-Robotic-Production and -Operation Implementation

Unsupervised approach to bunching swings phenomenon analysis

Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

The I in Team: Mining Personal Social Interaction Routine with Topic Models from Long-Term Team Data

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation

Detecting Work Stress in Offices by Combining Unobtrusive Sensors

Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors

Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks

Exploring the role of system operation modes in failure analysis in the context of first generation cyber-physical systems

On domain-adaptive machine learning

Pricing Options and Computing Implied Volatilities using Neural Networks

Learning about risk: Machine learning for risk assessment

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis