Lectures with Video Recordings:

• Fernando Castor – Improving Energy Efficiency by Recommending Java Collections
• Christian Kehl – Uncertainty Quantification in Lagrangian Fluid Models using ML Stochastic Methods
• Maarten Löffler – Pleaching Pencil and Paper Picture Puzzles
• Till Miltzow – Paol’s Adventures
• Alexandru Telea & Michael Behrisch – Visualizing the Invisible: Understanding Abstract Big Data and Explaining Machine Learning
• Sjaak Brinkkemper – Architecture of Intelligent Linguistic Information Systems: automated reporting of consultations in healthcare
• Yannis Velegrakis – The Quest Towards a Schema Mapping Benchmark
• Egon van den Broek – Human-Centered Signal Processing

Lectures without Video Recordings:

• Hanna Hauptmann – Effects and Challenges of using a Nutrition Assistance System: Results of a Long-Term Mixed-Method Study
• Pınar Yolum – Managing Privacy in Internet of Things Applications
• Remco Veltkamp – Patterns and Threads in Media Technology 
• Fabiano Dalpiaz – Towards Conversational Tools for Requirements Engineering
• Albert Gatt – What part of “understand” don’t you “see”? Exploring the visual grounding capabilities of deep multimodal models
• Erik Jan van Leeuwen – Graph Algorithms: From Application to Parameterization
• Shihan Wang – Learning from Interaction: The challenge in reinforcement learning
• Mehdi Dastani – Intelligent Big Brother
• Hans Bodlaender – Trees, TSPs and Terrorists
• Sander Bakkes – Automated Game Design and Personalised Interactive Experiences
• Heysem Kaya – Leveraging Deep Transfer Learning for Multi-modal Affect Recognition in the Wild
• Artem Polyvyanyy – Entropy-Based Conformance Checking Between Designed and Real-World Processes
• Judith Masthoff – Sinterklaas’ Views on Recommender Systems and Related Research
• Arno Siebes – Doing the Undoable — By Weaving a Web of Patterns
• Marjan van den Akker – Optimization for sustainability: energy systems and public transportation
• Jesper Nederlof – Finding Cracks in the Wall of NP-completeness: On the Worst-case Complexity of the Traveling Salesman Problem
• Natasha Alechina – Synthesis of Process Plans for Manufacturing
• Linda Kleist – Area-Universality
• Mel Chekol – Time Travel Queries in Knowledge Graphs
• Arjan Egges – Web Development in 2020 and Beyond
• Fabiano Dalpiaz- Requirements Classification with Interpretable Machine Learning and Dependency Parsing
• Rodrigo Mello – On Computing the Shattering Coefficient to Analyze the Bias of Supervised Learning Algorithms with Applications to Deep Learning