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Open Bachelor Assignments

We aim to have this list fully updated on 19 April 2021.

D = Data engineering, M = Machine learning, B = Biometrics & computer vision

Please check if an assignment is applicable to your study program!

[D] A probabilistic approach towards handling data quality problems and imperfect data integration tasks
[M] Adversarial noise in convolutional deep networks
[M] Building energy prediction using Artificial Intelligence methods
[M] Cell detection under defocus blur
[M] Continual Learning
[M] Deep learning models for point cloud classification/semantic segmentation.
[B] Design of the wearable, practical and ethical aspects
[M] Efficient Learning in Deep Learning through Neuroscience theories.
[M] Feature sensitivity analysis method for machine learning
[B] Finishing and improving of finger vein system
[B] [M] FISWG – Automatic extraction and use of forensic facial features
[M] Imposing a probability density on a latent variable of a classification network
[B] Inhibition of photo and film cameras
[M] Machine Learning for Model-based Diagnosis of Cyberphysical Systems
[M] Making Bayesian Networks Available for Clinical Decision Support
[B] Morphing detection based on analysis of local spectrum
[B] Morphing detection based on facial marks
[B] Morphing robust face recognition
[D] Process Mining for Logistics Applications
[D] Process Mining Software Logs
[M] Scalable Deep Learning
[D] Subpopulation process mining based on graph matching
[D] Subpopulation Process Mining in Health
[B] SQUEEZE: a hybrid cloud-edge implementation
[D] Tracing data utility for noise adding plugins in process mining
[B] [M] Transfer learning for cell image reconstruction
[M] Understanding Sparse Neural Networks
[M] Unsupervised learning using NLP for recommendation clustering
[M] Visualization of feature importance dependencies in machine learning
[B] [M] Visual place recognition under image corruptions
[B] [M] Visual Semantic Role Labelling
[B] [M] What is Mapped onto a Latent Variable ?
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