[M] Virtual symphony: matching off-tempo audio from different instruments

[M] Uni-modal to multi-modal model merging

[M] BBI Process Mining: Predict the remaining processing time of a pallet for an automated refrigerated warehouse

[M] Machine learning to quantify e3value business models

[M] Research into the AI-Revolution in Camera Technology at LOOGISCH

[M] Process Mining Pancreascarcinoom

[M] Event-streaming Algorithm for Self-adaptive Distributed Vehicle Route Guidance in Urban Networks

[M] Comparing attack graphs with business process models for modeling attacker strategies

[M] Optimisation of Complication Registration with Text Mining and Machine Learning

[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] Fitness prediction for hip surgery for elderly patients

[M] Probability prediction for acute kidney injury

[M] (Multimodal) Admission prediction for patients in the cardiac emergency department

[M] Fast-track outcome prediction

[M] Real-time medication monitoring for patients with chronic pulmonary conditions

[M] Quality Control on radiology MR reports

[M] NLP model to predict diabetes type and year of diagnosis from medical texts

[M] Artificial Intelligence against Cancer

[M] AERIAL IMAGE SEGMENTATION WITH DATA-EFFICIENT ADAPTATION OF FOUNDATION MODELS

[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] Decoding EMG using A Riemannian Geometry approach

[M] Decoding EMG using Autoencoders

[M] Explainable Machine Learning

[M] Explaining Estrus Classifications

[M] Large-scale data mining & NLP @ OCLC - Leiden, NL

[M] Machine Learning

[M] Machine Learning and Natural Language Processing Internship @Nedap

[M] Deep learning in medical imaging project in Berlin using 3D-printed phantom

[M][B] Digital media - using neural networks for steganography

[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?

[M] Point Cloud Classification using Context based Feature Engineering

[M] Project: E-Manager Chronic Diseases

[M] Semi-Supervised Deep Learning for Point Cloud Classification

[M] Serendipity at the MuseumFabriek

[M] Using physiological signals to monitor mental state of Cybersecurity experts at Dutch Bank