Graduates and Projects
Over 190 participants have successfully graduated from DSR by completing an innovative portfolio project.
Batch 21
Fabian Barulli
PROJECT
'Segmentation of cloud satellite images'
Batch 18
PROJECT
'Papers, pls! A similarity-based recommendation system for research papers'
Batch 19
PROJECT
'Can computers see style? - similar art in Wiki Art - computer vision'
PROJECT
'Electricity carbon intensity prediction - predicting how clean or dirty electricity is - time-series'
PROJECT
'Classification of sleep stages from EEG: classifying sleep stages - sequential data'
Batch 18
PROJECT
‘ION AGE - predicts the age and remaining life of any lithium-ion battery’
PROJECT
‘EMILY PICKS UP! - For clean sidewalks and parks in Berlin, Emily picks up cigarette butts’
Batch 17
Dmitry Efimenko
PROJECT
‘Night Drive – Augmenting data sets for autonomous driving with Generative Adversarial Networks’
Batch 16
PROJECT
‘PROBEAT- Applying Deep Learning for the Audio Signal Processing of lungs and heart's sounds to detect/predict illnesses from a mobile phone’
PROJECT
‘Child Growth Monitor -Quick, accurate data on Malnutrition’
PROJECT
‘Exploiting Vectors in Various Latent Spaces to Generate Unique Font Styles’
Batch 15
'The Road Not Taken' - Using satellite imagery for road detection
'Safety in AI - Robustness metrics for Deep Learning predictions'
Batch 14
'Sign language recognition for deaf-mute people. Video classification using Deep Learning'
Batch 13
'Predicting national health patterns and trends based on 50 years of global data'
'Short-term photovoltaic power prediction using Machine Learning'
'Heart Disease detection with a structured prediction based on Electrocardiograms'
'Deep Portfolio: Utilizing deep learning to predict stock performance'
Batch 12
Batch 11
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