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Data Management & Biometrics (DMB)
UT
Faculteiten
EEMCS
Disciplines & departementen
DMB
Assignments
Open Assignments
Open Master Assignments
Data Management & Biometrics (DMB)
UT
Faculteiten
EEMCS
Disciplines & departementen
DMB
Assignments
Open Assignments
Open Master Assignments
Open Master Assignments
D = Data engineering, M = Machine learning, B = Biometrics & computer vision
[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][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
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