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

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

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

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

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