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	Jessica Adriana Sanchez Garcia	Machine Learning towards sustainable consumption Sustainable Shopping and Semantic Search: A Comparative Study of Embedding Models and Methods
	Stefan Beuchert	Human-Centered Explainable AI for Question Answering Systems
	Sami Alexej Nenno	Claimspotting Automated Claim classification for fact-checking
	Alexander Flick	Machine Learning approaches towards a Green Database
2022	Cem Kozcuer	Machine Learning for Disaster Event Classification from Social Media Images
	Roman Kondratiev	Detecting Political Bias in Social Networks With Machine Learning
	Fabian Henning	Deep Learning for Fashion Retail Sales Forecasting
	Karl Brendel	Critical service state detection in large-scale distributed networks from logs
	Tashin Talbot	Synthetic data generation methods for the RKI Datenspende App
	Alexander Schulz	Machine Learning Methods for Groundwater Level Prediction
	Fotoun Suliman	Web Applikation zur Prognose Energieverbrauchs öffentlicher Gebäude
	Daniel Kurta	A Machine Learning Based Approach for Groundwater Level Prediction
	Saha Saurav Kumar	Recognition and pseudonymization of personally identifying information in user generated content
	Benjamin Habicht	Machine Learning for Anomaly Detection in Multivariate Time Series Data
2021	Jonas Bauer	Machine Learning in der Analyse öffentlicher Diskurse am Beispiel der Covid-19-Krise, Active-Learning-Strategien im Vergleich
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	Florian Becker	Use of Social-Media Data in an Epidemiological Context (with Robert-Koch Institute)
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	Pallavi Mitra	Minimization of Computational Energy Consumption of Machine Learning Workloads using Constrained Bayesian Optimization
	Teodor-Constantin Chiaburu	Hierarchical Classification of Insect Species Using Wingbeat Signals
2020	Arndt Allhorn	Transfer Learning for Hate Speech Detection
	Arthur Gogohia	Deep Learning for Data Type Agnostic Imputation in Heterogeneous Tables
	Parvin Shakibaei	Data-Driven Anomaly Detection From Residential Smart Meter Data
	Alexander Jaenisch	Forecasting of Ticket Sales in the Education and Entertainment Sector
2019	Jannis Alexander Busch	Advanced Natural Language Processing for Expert Recommender Systems
	Dionysius Irza Refiano	A Quantitative Evaluation of Computer Vision Algorithm Explanations
	Ervin Madaha	Machine Learning for Database Optimisation
	Benjamin Heine	Maschinelles Lernen zur Einbruchsdetektion auf Audiodaten
	Philipp Jung	Robust Machine-Learning Approaches for Efficient Functional Dependency Approximation
	Malte Klüver	Evaluating the Accuracy of Variational Bayes in Survival Analysis
	Ana Maria Sandoval Jimenez	Unit Testing Datasets for Safe Database Migration
	Sabrina Steinert	Machine Learning Interpretability Methods for Unbiased Expert Recommender Systems
	Shuaib Yunus	Learning to Rank Places