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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
[M] [B] FISWG AUTO EYEBROW: Automatic extraction and use of eyebrow forensic facial features
[D] A benchmark for probabilistic databases
[M] Building energy prediction using Artificial Intelligence methods
[M] Continual Learning
[B] Design of the wearable, practical and ethical aspects
[M] EatMyRide: Predicting intensity level of sport activity for personalized nutrition plan
[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] HOODIE: 2D gen – 3D pose pipeline – lens distortion – hoodie/scarf
[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
[M] [B] MARKS FUSION: Development of facial marks detection system and fusion with face recognition system
[B] [M] MCU SQUEEZE: from thin models to deployment on MCU
[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
[D] Tracing data utility for noise adding plugins in process mining
[M] Understanding Sparse Neural Networks
[M] Visualization of feature importance dependencies in machine learning
[M] Which is the best convolutional network for image classification?
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