Student |
Thesis |
Content |
Ahrens, R. (Ruben) | Detecting Ship Plumes Using TROMOPI NO2, SO2 and HCHO Observations | |
Allison, L. (Lucas) | Quantum Circuit Equivalence Verification Using the Generalized Stabilizer Formalism | |
Aristiou, K. (Kyriakos) | Enhancing Oriented Object Detection with Adaptive Tiling | |
Batenburg, V. (Victor) | Steering LLMs Towards Safer Shores | |
Bax, P.J. (Pim) | Optimising Setups and Gameplay for Conquest, a Chess-like Wargame, Using Monte Carlo Tree Search | |
Beek, B. van (Bob) | Analyzing Human Navigation Using Network-Based Games | |
Bilalis, N. (Nikolaos-Maximos) | Optimizing Elite Sports Training: A Reinforcement Learning Approach for Personalized and Effective Training Schedules | |
Braam, I. (Isaac) | Evaluating the Costs of Constraints in University Course Timetabling Problems | |
Buurman, D. (Dennis) | Countering the Computation vs Communication Trade-off with Compiler Techniques | |
Dash, P. (Piyush) | Effect of Audio Augmentations on Genre Classification Using Contrastive Learning | |
Doukeris, G. (Georgios) | "Once Upon a Time There Was an LLM that Could Write a Story”: Human Interaction with AI Through Text-based Videogames - CONFIDENTIAL | |
Eveleens, S. (Stan) | A Personalized Job Ranking System for the Recruitment Industry | |
Guo, Z. (Ziming) | Enhancing Engineering Document Analysis through Structured Data Mapping | |
He, L. (Lin) | Classification of Vocal Intensity Categories Using ResNet | |
He, X. (Xiang) | Unlearning for Sequential Recommender Systems | |
Hermanus, P. (Per) | Portfolio Selection in Adaptive Operator Selection for Differential Evolution using Multi-Armed Bandits | |
Hettini, A.A. (Abed Alrahman) | Leveraging AI for the Development of a Standardized Multilingual Education Taxonomy Aligned with Job Market Demands | |
Hoteit, M. (Mohamad) | Decoding 3D Upper Limb Motion Using EEG and Motion Capture: A Deep Learning Approach | |
Jiang, K. (Kaiteng) | Multimodal Self-supervised Music Genre Classification with Audio and Lyrics | |
Kumar, M. (Manasvi) | Feasibility Study for Automatic Regression Analysis of Lithography Machine | |
Li, S. (Shupei) | Rethinking Conversational Recommender Systems: A Reproducibility Investigation | |
Peeters, L. (Levi) | Truly Unordered Rule Sets for Interpretable Risk Estimation in the Retail Sector | |
Rademaker, M. (Mark) | Automating Scene Change Detection in TV and Film: A Deep Multimodal Fusion Approach | |
Romeijn, L. (Luuk) | LncRNA-BERT: An RNA Language Model for Classifying Coding and Long Non-Coding RNA | |
Rooijen, H. van (Hidde) | Enhancing the Reliability of Model Evaluations in Predictive Process Monitoring | |
Schamhart, M. (Milou) | Large-scale Analysis of Multilingual Financial News with LLMs | |
Severin, H. (Heleen) | 3D Structure-Boosted Deep Learning for the Prediction of Cancer Vaccine Candidates | |
Smits, S. (Simone) | Predicting Type 2 Diabetes Prevalence Through Machine Learning: Correlations with Social Networks, Lifestyle, Socioeconomics and Living Environment | |
Strijker, J. (Jonathan) | Legal Question-Answering in the Age of Large Language Models | |
Thandu, M.P. (Mouni Priyanka) | An Algorithm for Identifying Activity Tests in Parkinson’s Disease Patients using Accelerometer Data | |
Tu, S. (Siwen) | Explore the Impact of Context in News Image Captioning - CONFIDENTIAL | |
Vink, E. de (Elze) | Analyzing the Performance of Community Detection Methods: A Group Fairness Approach | |
Wetten, F. van (Fien) | BABA IS LLM: Large Language Models Play Baba is You | |
Wheeler, M. (Michael) | Retrieval-Augmented Generation for Answering IT Helpdesk Questions | |
Wijne, L. (Louka) | Predicting Illegal Ship Breaking Via Fairness-aware Classifier Optimisation | |
Wolff, L. de (Lucas) | Identifying Promising Regions of Differentiated Cardiomyocytes in Brightfield Images through Machine Learning | |
Zeeuw, M. de (Matthijs) | Adapting and Applying Evolutionary Algorithms to Variable Length Representations of Optimization Problems | |
Zeng, P. (Pengxu) | AI-Driven Synthetic Route Length Prediction – Benchmarking Graph Neural Networks Against Traditional Machine Learning in de novo Drug Discovery | |