Graduates and Projects
Over 205 participants have successfully graduated from DSR by completing an innovative portfolio project.
Batch 22/23
PROJECT
'Deep Learning for Crypto market Prediction Using NLP and Technical Indicators'
Batch 21
Fabian Barulli
PROJECT
'Segmentation of cloud satellite images'
Batch 20
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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