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Open Bachelor Assignments

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Open Bachelor Assignments

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

[M] Adversarial noise in convolutional deep networks

[M] [B] Assessment of hearth tissue quality via optical flow

[B] Automatic detection of photographing or filming

[D] Binary Decision Diagram algorithms for uncertain data

[M] Building energy prediction using Artificial Intelligence methods

[M] Continual Learning

[B] Design of the wearable, practical and ethical aspects

[M] Efficient Learning in Deep Learning through Neuroscience theories.

[B] Finishing and improving of finger vein system

[B] Inhibition of photo and film cameras

[D] Machine learning-based data cleaning

[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

[B] Pavement crack detection by image processing

[D] Process Mining for Logistics Applications

[D] Process Mining Software Logs

[M] [B] Segmentation and analysis of the quality of heart tissue culture

[D] Sensitivity of machine learning to bad quality data and labels

[D] Subpopulation process mining based on graph matching

[D] Subpopulation Process Mining in Health

[M] Scalable Deep Learning

[M] Understanding Sparse Neural Networks

[M] Which is the best convolutional network for image classification?

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