On domain-adaptive machine learning

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

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

A machine learning approach for optimisation in railway planning

Automatic Quantification of Beach Occupation Using Oversegmentation and Machine Learning

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

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

Unsupervised approach to bunching swings phenomenon analysis

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

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

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

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

POD-DEIM model order reduction for strain softening viscoplasticity

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

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

Reinforcement learning of potential fields to achieve limit-cycle walking