PhD Theses

• Quentin Meeus, From Speech to Semantics: Adapting Pretrained Transformers for Low Resource Spoken Language Understanding; Van spraak naar betekenis: voorgetrainde Transformers aanpassen voor gesproken taalbegrip met beperkte data (Faculty of Engineering Science, co-sup. Van hamme Hugo), 24-9-2024.
• Sumam Francis, Efficient Knowledge Transfer and Injection for Document Comprehension in Low Resource Settings; Efficiënte kennisoverdracht en -injectie voor het begrijpen van documenten in geval van beperkte informatiebronnen (Faculty of Engineering Science), 4-9-2024.
• Gorjan Radevski, Bridging Modalities and Transferring Knowledge: Enhanced Multimodal Understanding and Recognition; Het combineren van modaliteiten en onderlinge kennisoverdracht: een verbeterd multimodaal begrip en herkenning (Faculty of Engineering Science, co-sup. Tinne Tuytelaars), 19-6-2024.
• Victor Milewski, Structured Representations for Joining Visual and Linguistic Data; Gestructureerde Representaties voor het Combineren van Beeld- en Tekstdata (Faculty of Engineering Science), 24-5-2024.
• Jordy Van Landeghem, Intelligent Automation for AI-driven Document Understanding; Automatisering van Documentinterpretatie met Artificiële Intelligentie (Faculty of Engineering Science, co-sup. Marrhew Blaschko), 23-4-2024.
• Liesbeth Allein, Machine Learning Models for the Verification of Information and Detection of Disinformation; Modellen van machinaal leren voor de verificatie van informatie en detectie van disinformatie (Faculty of Engineering Science), 17-1-2024.
• Vladimir Araujo, Learning by Prediction and Integration: Human-inspired Approaches for Natural Language Understanding (Faculty of Engineering Science, joint PhD with Pontificia Universidad Católica de Chile), 12-9-2023.
• Thierry Deruyttere, Deep Learning based Multimodal Interaction Agent for Real-life Settings with Focus on Autonomous Vehicles (Faculty of Engineering Science), 7-10-2022.
• Katrien Laenen, Cross-modal Representation Learning for Fashion Search and Recommendation (Faculty of Engineering Science), 13-1-2022.
• Elias Moons, Representation Learning for Automated Document Classification (Faculty of Engineering Science), 3-5-2021.
• Graham Spinks, Deep Learning Methods for Multimodal Representation Learning (Faculty of Engineering Science), 5-1-2021.
• Shurong Sheng, Multimodal Machine Learning for Personalized Interaction with Cultural Heritage (Faculty of Engineering Science, co-sup. Luc Van Gool), 4-12-2020.
• Guillem Collell, Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding (Faculty of Engineering Science), 20-4-2020.
• Artuur Leeuwenberg, From Text to Time: Machine Learning Approaches to Temporal Information Extraction from Text (Faculty of Engineering Science), 3-10-2019.
• Geert Heyman, Representation Learning for Weakly-Supervised Natural Language Processing Tasks (Faculty of Engineering Science, co-sup. Ivan Vulić), 18-12-2018.
• Quynh Ngoc Do Thi, Domain Adaptation in Natural Language Processing for Visualizing a Children’s Story in a Virtual World (Faculty of Engineering Science, co-sup. Steven Bethard), 15-9-2017.
• Golnoosh Farnadi, User Modeling in Social Media (Faculty of Engineering Science, co-sup. Martine De Cock), 27-6-2017.
• Aparna Nurani Venkitasubramanian, Weakly Supervised Machine Learning Algorithms for Object Recognition in the Wild and Entity Linking in Videos Content (Faculty of Engineering Science, co-sup. Tinne Tuytelaars), 26-6-2017.
• Susana Zoghbi, Latent Variable Models for Language and Image Understanding in Social Media and E-commerce Data (Faculty of Engineering Science), 22-12-2016.
• Ivan Vulić, Unsupervised Algorithms for Cross-Lingual Text Analysis, Translation Mining and Information Retrieval (Faculty of Engineering Science), 10-6-2014: degree awarded with felicitations of the examination board.
• Jan De Belder, Integer Linear Programming for Natural Language Processing (Faculty of Engineering Science), 27-3-2014.
• Parisa Kordjamshidi, Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Faculty of Engineering Science), 1-7-2013.
• Gert-Jan Poulisse, Complex Semantic Concept Detection in Video Content (Faculty of Engineering Science, co-sup. Luc Van Gool), 7-11-2012.
• Phi The Pham, Algorithms for Cross-Media Alignment of Equivalent Content (Faculty of Engineering Science, co-sup. Tinne Tuytelaars), 14-9-2012.
• Oleksandr Kolomiyets, Algorithms for Temporal Information Processing of Texts and their Applications (Faculty of Engineering Science, co-sup. Danny De Schreye), 9-3-2012.
• Raquel Mochales Palau, Automatic Detection and Classification of Argumentation in a Legal Case (Faculty of Engineering Science, co-sup. Danny De Schreye), 13-7-2011.
• Wim De Smet, Probabilistic Graphical Models for Content Representation and Applications in Monolingual and Multilingual Settings (Faculty of Engineering Science, co-sup. Danny De Schreye), 30-5-2011.
• Koen Deschacht, Weakly Supervised Methods for Information Extraction (Faculty of Engineering Science, co-sup. Danny De Schreye), 6-5-2010.