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Knowledge Enriched Machine Learning
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DynaBench
NIDS-DS
netflow-gan
HarryMotions
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Natural Language Processing
SOOFI: Sovereign Open Source Foundational Models for European Intelligence
LLäMmlein 7B, 1B & 120M
LitBERT
KILiMod (concluded)
MOTIV
Detecting Scenes in Fiction
Machine Learning and Knowledge Graphs
Analysing Comments on Twitch.tv
CLiGS (concluded)
Kallimachos (concluded)
Kallimachos - Publications
German Novel Dataset
TIR2015 Genre data
ML for Ecosystems and Climate Modeling
SMART-TWIN
BigData@Geo 2.0
BigData@Geo (concluded)
BeeConnected (concluded)
we4bee (concluded)
p2Map (concluded)
EveryAware (concluded)
ML on Publication Data
BibSonomy
Publications
HydrAS (concluded)
REGIO (concluded)
PUMA (concluded)
PoSTs I & II (concluded)
Publications
Bib100
ML for Recommender Systems
KI-LISA
Publications
adidas (concluded)
Physics Informed Deep Learning
MAGNET
P-BIM (concluded)
KI@FlowChief (concluded)
AI@Knauf (concluded)
Mozart & KI (concluded)
Mozart Genom Web-App
ML for Network Security & Fraud Detection
DEMAnD-LM – Domain-Enhanced Multi-Agent and Mixture-of-Experts Language Models
BRACE-LLM - Blue- and Red-Agent-based Cyber Security with Large Language Models
Occupational Fraud Detection
DeepScan (concluded)
ERP Fraud Data
ERP Fraud Game
XAI Evaluation Datasets
ML for Medical & Biological Data
TissueNet
DZ.PTM
Lectures
2026 SS
Data Science (ehemals Data Mining)
Machine Learning for Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
Praktikum: Offensive Security Lab: Building and Solving CTF Pentesting Challenges
Praktikum: Natural Language Processing
2025 WS
Grundlagen der Algorithmen und Datenstrukturen
Sprachverarbeitung und Text Mining
2025 SS
Data Science (ehemals Data Mining)
Machine Learning for Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning (BA)
Seminar + Praktikum: Machine Learning for Cyber Security
Praktikum: Machine Learning for Time Series Analysis - AI Weather Quest
Praktikum: XtAI and KIDS Lab
2024 WS
Seminar: Ausgewählte Themen des Machine Learning (BA)
Datenbanken
Machine Learning for Time Series and Anomaly Detection
Grundlagen der Algorithmen und Datenstrukturen
2024 SS
Seminar + Praktikum: Machine Learning for Cyber Security
Data Science (ehemals Data Mining)
Machine Learning for Natural Language Processing
Praktikum: Machine Learning for Time Series Analysis
Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
Praktikum: XtAI Lab
2023 WS
Machine Learning for Time Series and Anomaly Detection
Sprachverarbeitung und Text Mining
Grundlagen der Algorithmen und Datenstrukturen
Interactive Artificial Intelligence
Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
Praktikum: Natural Language Processing
XtAI Lab
2023 SS
Data Science (ehemals Data Mining)
Machine Learning for Natural Language Processing
Praktikum: Machine Learning for Time Series Analysis
Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
XtAI Lab
2022 WS
Grundlagen der Algorithmen und Datenstrukturen
Interactive Artificial Intelligence
Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
Praktikum: Natural Language Processing
XtAI Lab
Datenbanken
2022 SS
Machine Learning for Natural Language Processing
Information Retrieval
Data Mining
Praktikum: Machine Learning for Time Series Analysis
Seminar: Ausgewählte Themen des Machine Learning (BA)
Seminar: Ausgewählte Themen des Machine Learning (MA)
XtAI Lab
2021 WS
Grundlagen der Algorithmen und Datenstrukturen
Sprachverarbeitung und Text Mining
Interactive Artificial Intelligence
Praktikum: Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning (BA)
Seminar: Ausgewählte Themen des Machine Learning (MA)
XtAI Lab
2021 SS
Machine Learning for Natural Language Processing
Information Retrieval
Data Mining
Praktikum: Machine Learning for Time Series Analysis
Praktikum: Machine Learning for Recommendation
Seminar: Ausgewählte Themen des Machine Learning (BA)
Seminar: Ausgewählte Themen des Machine Learning (MA)
2020 WS
Grundlagen der Algorithmen und Datenstrukturen
Praktikum: Natural Language Processing
Datenbanken
Seminar: Ausgewählte Themen des Machine Learning
Seminar: Musik und Maschinelles Lernen
2020 SS
Praktikum: Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning
Information Retrieval
Data Mining
Machine Learning for Natural Language Processing
Archiv
2019 WS
Grundlagen der Algorithmen und Datenstrukturen
Informatik und Ethik
Praktikum: Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning
Sprachverarbeitung und Text Mining
2019 SS
Praktikum: Natural Language Processing
Machine Learning for Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning
Data Mining
Information Retrieval
2018 WS
Grundlagen der Algorithmen und Datenstrukturen
Datenbanken
Seminar: Ausgewählte Themen des Machine Learning
Praktikum: Natural Language Processing
2018 SS
Data Mining
Information Retrieval
Machine Learning for Natural Language Processing
Seminar: Ausgewählte Themen des Machine Learning
Praktikum: Natural Language Processing
2017 WS
Seminar: Ausgewählte Themen des Machine Learning
2017 SS
Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2016 WS
Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
Sprachverarbeitung und Text Mining
Grundlagen der Algorithmen und Datenstrukturen
Seminar: Ausgewählte Themen des Web 2.0
2016 SS
Einführendes Programmierpraktikum (Wiinf/MCS/WiMa)
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2015 WS
Grundlagen der Algorithmen und Datenstrukturen
Seminar: Ausgewählte Themen des Web 2.0
2015 SS
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2014 WS
Grundlagen der Algorithmen und Datenstrukturen
Seminar: Ausgewählte Themen des Web 2.0
2014 SS
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2013 WS
Algorithmen und Datenstrukturen für Wirtschaftsinformatiker und Mensch-Computer-Systeme
Seminar: Ausgewählte Themen des Web 2.0
2013 SS
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2012 WS
Seminar: Ausgewählte Themen des Web 2.0
2012 SS
Data Mining
Information Retrieval
Seminar: Ausgewählte Themen des Web 2.0
2011 WS
Seminar
Theses & Practica
Open Topics
Natural Language Processing
ML for Ecosystems & Climate Modeling
ML for Publication Data
Recommender Systems
Physics Informed Deep Learning
Security & Fraud
ML for Biological & Medical Data
Misc.
Completed Theses
Staff
Prof. Dr. Andreas Hotho
Publications by Andreas Hotho
Prof. Dr. Joachim Baumeister
Research
Organization and reviewing
Projects
Teaching
Supervised theses
Publications (Bibsonomy)
Dr.-Ing. Ocean (Anna) Krause
Deep Learning for Dynamical Systems Group
Dr. Daniel Schlör
Lena Hettinger, Dipl.-Math.
Kevin Bergner, M.Sc.
Marius Bohn, M.Sc.
Andrzej Dulny, M.Sc.
Elisabeth Fischer, M.Sc.
Simon Hentschel M.Sc.
Florian Gallusser, M.Sc.
Janna Omeliyanenko, M.Sc.
Jan Pfister, M.Sc.
Martin Rackl, M.Sc.
Tom Völker
Daniel Weggenmann, M.Sc.
Maximilian Wolf, M.Sc.
Sebastian Wankerl, M.Sc.
Julia Wunderle, M.Sc.
Albin Zehe, M.Sc.
Publications
Former staff
Christian Goldschmied, M.Sc.
Jonas Kaiser, M.Sc.
Tobias Koopmann, M.Sc.
Anton Vlasjuk M.Sc.
Julian Tritscher, M.Sc.
Pascal Janetzky, M.Sc.
Padraig Davidson, M.Sc.
Dr. Melanie Schaller
Konstantin Kobs, M.Sc.
Alexander Dallmann, Dipl. Inf.
Dr. Michael Steininger, M.Sc.
Florian Buckermann, M.Sc.
Daniel Zoller, M.Sc.
Publications
Teaching
Florian Lautenschlager, M.Sc.
Dr. Martin Becker
Dr. Thomas Niebler
Teaching
Publications
Supplementary Materials
Open Positions
Intern
Intern
Home
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Knowledge Enriched Machine Learning
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Natural Language Processing
ML for Ecosystems and Climate Modeling
ML on Publication Data
ML for Recommender Systems
Physics Informed Deep Learning
ML for Network Security & Fraud Detection
ML for Medical & Biological Data
Lectures
2026 SS
2025 WS
2025 SS
2024 WS
2024 SS
2023 WS
2023 SS
2022 WS
2022 SS
2021 WS
2021 SS
2020 WS
2020 SS
Archiv
Theses & Practica
Open Topics
Completed Theses
Staff
Prof. Dr. Andreas Hotho
Prof. Dr. Joachim Baumeister
Dr.-Ing. Ocean (Anna) Krause
Dr. Daniel Schlör
Lena Hettinger, Dipl.-Math.
Kevin Bergner, M.Sc.
Marius Bohn, M.Sc.
Andrzej Dulny, M.Sc.
Elisabeth Fischer, M.Sc.
Simon Hentschel M.Sc.
Florian Gallusser, M.Sc.
Janna Omeliyanenko, M.Sc.
Jan Pfister, M.Sc.
Martin Rackl, M.Sc.
Tom Völker
Daniel Weggenmann, M.Sc.
Maximilian Wolf, M.Sc.
Sebastian Wankerl, M.Sc.
Julia Wunderle, M.Sc.
Albin Zehe, M.Sc.
Former staff
Open Positions
Animation stoppen
Data Science Chair
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REGIO (concluded)
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PoSTs I & II (concluded)
ML for Recommender Systems
Physics Informed Deep Learning
ML for Network Security & Fraud Detection
ML for Medical & Biological Data
Lectures
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Fakultät für Mathematik und Informatik
Institut für Informatik
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ML on Publication Data
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BibSonomy - Publications
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