Dynamically pricing tickets for cultural venues

Learning variable selection rules for the branch-and-bound algorithm using reinforcement learning

An Aircraft and Schedule Integrated Approach to Improve Cockpit Crew Pairings

Performance Evaluation of Vehicle Routing Heuristics

Using clickstream data and representation learning to understand user interests in order to recommend vacations: Master Thesis at Vakanties.nl

NL to PDDL: One-Shot Learning of Planning Domains from Natural Language Process Manuals

Automated classification of satellite data of informal urban settlements

Solving the intercontinental integrated LTL loading and routing problem

Trunk-Branch Ensemble Convolutional Neural Networks for Large Scale, Few-Shot Video-to-Still Face Recognition

Solving a real-world rail maintenance scheduling problem

Predictive Learning Analytics

Agent-Based Simulation on Social Factors in the Amsterdam Housing Market

Hierarchical Reinforcement Learning for Spatio-temporal Planning

Possible effects of lost, wrong and delayed information on the evolution of cooperation

Coordinated optimization of equipment operations on a container terminal: Gecoordineerde optimalisatie van machine operaties op een container terminal

Performance of Strategies for the Iterated Prisoner’s Dilemma in a Natural Environment