Open Bachelor Assignments
Open Master Assignments
- Open Master Assignments
- [M] Research into the AI-Revolution in Camera Technology at LOOGISCH
- [M] Process Mining Pancreascarcinoom
- [M] Comparing attack graphs with business process models for modeling attacker strategies
- [M] Optimisation of Complication Registration with Text Mining and Machine Learning
- [B] Discovering and Recommending Relevant Audio and Videos
- [B] Exploring the Uncertainty of Learned Associations in LLMs
- [B] Controlling Video Generation for Diffusion Models
- [M] LegalTech: AI and Legal processes
- [M] Advancing Healthcare Process Simulation: Automating Discrete Event Models from Process Data
- [M] Algorithm Development for Analysis of Heart Tissue
- [M] An early warning system to predict overcrowding in emergency rooms
- [M] Artificial Intelligence against Cancer
- [M][B] Artificial intelligence: Computer vision for image and video understanding
- [M] Few shot learning with drone imagery for resilience in slums
- [M] AERIAL IMAGE SEGMENTATION WITH DATA-EFFICIENT ADAPTATION OF FOUNDATION MODELS
- [B] Can you spot a Gorilla in a CT scan ???
- [B] Can Normalizing Disentangled Flows Detect OOD data?
- [B] Disentangled Flows for Face editing
- [B] Disentangled Flows for Anomaly Detection
- Lifestyle Data Futures
- [B] Self-Supervised Out-of-Distribution Detection
- [B] Unsupervised Anomaly Detection Under Domain Shifts
- [M] Explainable AI for Drone Imagery
- [M] Attribute extraction and linking for medical concepts
- [B] [M] AUTO: Auto encoders in face recognition
- [M] Auto Data Evaluation using Machine Learning @ROSEN Enschede
- [M] Object Detection for Water Pipeline Inspection @ROSEN Enschede
- [M] Autoncoders and Recovering High Frequency Components
- [D][M] BIO marker-based COVID Severity prediction and data quality exploration
- [M] Combining structured and unstructured data
- [M] [B] Computer Vision & Machine Learning @ Lely
- [M] Creating fake data that maintains dependencies
- [D] Data-Intensive Software Development without Downtime at ING
- [M] Decoding EMG using A Riemannian Geometry approach
- [M] Decoding EMG using Autoencoders
- [B] [M] DIET: from obese data to sparse face models
- [M] Explainable Machine Learning
- [M] Explaining Estrus Classifications
- [B] [M] FISWG AUTO: Automatic extraction and use of forensic facial features
- [M] Large-scale data mining & NLP @ OCLC - Leiden, NL
- [M] Linking clinical codes to Dutch medical text
- [M] Machine Learning
- [M] Machine Learning and Natural Language Processing Internship @Nedap
- [D] [M] Machine Learning for system level tuning of Linux OS - in collaboration with SUSE
- [B] Morphing robust face recognition
- [B] Evaluation of AI-driven interpretation on microscopic images in oncology
- [M] Deep learning in medical imaging project in Berlin using 3D-printed phantom
- [M][B] Digital media - using neural networks for steganography
- [D] Design and development of a sports data warehouse for FC Twente
- [M] Explainable AI in de Zorg (Dutch)
- [M][B] Visual place recognition
- [M][B] Fourier-basis noise image data augmentation for CNN robustness
- [M][B] Deblurring and disentangled representations of cell images via deep learning
- [M] Detect and correct wrong transliterations
- [M][B] Deep learning techniques for deblurring cell images utilizing geometry
- [M] How do different down-sampling methods affect neural networks’ reaction towards different frequencies?
- [M] Motion magnification for engineered heart tissue microscopy videos
- [M] Learning temporally-extended state and action representations in Deep Reinforcement Learning
- [M] Automated Algorithm Configuration of Sparse Neural Networks
- [M] Mortality prediction after hip fracture surgery. Could Machine Learning add value?
- [D] Natural Language Processing for diagnosis of patients with unexplainable Left Ventricle Hypertrofia
- [M] Point Cloud Classification using Context based Feature Engineering
- [D] Process Mining Opportunities at Univé
- [M] Project: E-Manager Chronic Diseases
- [M] Semi-Supervised Deep Learning for Point Cloud Classification
- [M] Serendipity at the MuseumFabriek
- [B] TURBULENCE: 2D gen – 3D pose pipeline – atmospheric turbulence
- [M] Using physiological signals to monitor mental state of Cybersecurity experts at Dutch Bank