2022
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Cem Kozcuer
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Machine Learning for Disaster Event Classification from Social Media Images
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Tim Bischoff
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Segmentspezifisches Kalibrierungsvorgehen für Gradient Boosted Trees im vertrieblichen Kontext
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Roman Kondratiev
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Detecting Political Bias in Social Networks With Machine Learning
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Fabian Henning
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Deep Learning for Fashion Retail Sales Forecasting
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Karl Brendel
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Critical service state detection in large-scale distributed networks from logs
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Tashin Talbot
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Synthetic data generation methods for the RKI Datenspende App
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Alexander Schulz
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Machine Learning Methods for Groundwater Level Prediction
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Fotoun Suliman
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Web Applikation zur Prognose Energieverbrauchs öffentlicher Gebäude
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Daniel Kurta
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A Machine Learning Based Approach for Groundwater Level Prediction
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Saha Saurav Kumar
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Recognition and pseudonymization of personally identifying information in user generated content
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Benjamin Habicht
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Machine Learning for Anomaly Detection in Multivariate Time Series Data
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2021
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Jonas Bauer
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Machine Learning in der Analyse öffentlicher Diskurse am Beispiel der Covid-19-Krise, Active-Learning-Strategien im Vergleich
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Viktor Treu
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Comparing human explanations and AI explanations - A Turing Test for Transparaency
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Christoph Geis-Schroer
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Predictive Maintenance for Forklift Trucks
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Oguzhan Uyar
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Predicting Formula One Races - A Pairwise Learning To Rank Approach
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Florian Becker
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Use of Social-Media Data in an Epidemiological Context (with Robert-Koch Institute)
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Mahan Gasghaie
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A recommender system for car configurations
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Bhaskar Kamble
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Data driven solutions for reducing cooling costs in buildings
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Rupali Sharma
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A Comparison of Machine Learning Methods for Data Cleaning
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Georg Lukas Baumgärtner
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Explainable Artificial Intelligence for Computer-Aided Diagnostics of Medical Imaging Data (with Charité Berlin)
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Pallavi Mitra
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Minimization of Computational Energy Consumption of Machine Learning Workloads using Constrained Bayesian Optimization
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Teodor-Constantin Chiaburu
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Hierarchical Classification of Insect Species Using Wingbeat Signals
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2020
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Arndt Allhorn
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Transfer Learning for Hate Speech Detection
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Arthur Gogohia
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Deep Learning for Data Type Agnostic Imputation in Heterogeneous Tables
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Parvin Shakibaei
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Data-Driven Anomaly Detection From Residential Smart Meter Data
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Alexander Jaenisch
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Forecasting of Ticket Sales in the Education and Entertainment Sector
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2019
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Jannis Alexander Busch
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Advanced Natural Language Processing for Expert Recommender Systems
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Dionysius Irza Refiano
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A Quantitative Evaluation of Computer Vision Algorithm Explanations
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Ervin Madaha
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Machine Learning for Database Optimisation
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Benjamin Heine
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Maschinelles Lernen zur Einbruchsdetektion auf Audiodaten
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Philipp Jung
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Robust Machine-Learning Approaches for Efficient Functional Dependency Approximation
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Malte Klüver
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Evaluating the Accuracy of Variational Bayes in Survival Analysis
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Ana Maria Sandoval Jimenez
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Unit Testing Datasets for Safe Database Migration
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Sabrina Steinert
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Machine Learning Interpretability Methods for Unbiased Expert Recommender Systems
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Shuaib Yunus
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Learning to Rank Places
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