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

Development of the Machine Learning-Based Approach to Access Occupancy Information Through Indoor CO2 Data: for Demand-Driven Building Heating Energy Management

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 Quantification of Beach Occupation Using Oversegmentation and Machine Learning

A machine learning approach for optimisation in railway planning

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

Improving RCPSP algorithms using machine learning methods