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Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
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Dr. Federico Nanni
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Fabian David Schmidt
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Dr. Anna Primpeli
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Dr. Jakob Huber
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Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
Dr. Yaser Oulabi
Alexander Diete
Dr. Kilian Theil
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Web-based Systems (Prof. Bizer)
Data Analytics (Prof. Gemulla)
Web Data Mining (Prof. Paulheim)
Natural Language Processing and Information Retrieval (Prof. Ponzetto)
Artificial Intelligence (Prof. Stuckenschmidt)
Master Thesis Topics in Artificial Intelligence
Process Analytics (Prof. Van der Aa)
Computer Vision & Machine Learning (Prof. Dr.-Ing. Margret Keuper)
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IE 500 Data Mining
IE 560 Decision Support
DS 203: Responsible AI
IE 650 Knowledge Graphs
IE 661 Text Analytics
IE 663 Information Retrieval and Web Search
IE 670 Web Data Integration
IE 671 Web Mining
IE 675b Machine Learning
IE 678 Deep Learning
IE 686 Large Language Models and Agents
IE 695 Reinforcement Learning
IE 696 Advanced Methods in Text Analytics
IE 689 Relational Learning
IE 692 Advanced Process Mining
IE 694 Industrial Applications of Artificial Intelligence
CS 460 Databases for Data Scientists
CS 560 Large-Scale Data Management
CS 646 Higher Level Computer Vision
CS 647 Image Processing
CS 704 Artificial Intelligence Seminar
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CS 704 Traffic Forecasting with Neural Networks Seminar
SM445/
CS 707: Seminar “Machine Learning and Time” (FSS 20
CS 709 Text Analytics Seminar
CS 710 Seminar on Knowledge Graphs and Large Language Models
CS 715: Seminar on Solving Complex Tasks using Large Language Models
CS 717: Seminar on AI Safety & Robustness
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
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SM 445 Data and Web Science Seminar
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Colloquium FSS2023
Computational Text Analysis
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Area: Natural Language Processing, Research
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Two Contributions to the ECML/
PKDD PhD Forum
Christian Schreckenberger and Sascha Marton will present their PhD Topics at the PhD Forum of ECML / PKDD 2020: Christian Schreckenberger, Christian Bartelt and Heiner Stuckenschmidt: Tree-based Learning for Dynamic Data Streams Sascha Marton, Christian Bartelt and Heiner Stuckenschmidt: Machine ...
Two New Projects on Social Impacts of AI Started
As part of a new research program for the common good-oriented handling of artificial intelligence (AI) three projects of the University of Mannheim are funded by the Baden-Württemberg Foundation.
Paper Accepted at International Journal of Production Economics
The paper Intraday Shelf Replenishment Decision Support for perishable Goods by Jakob Huber and Heiner Stuckenschmidt has been accepted by the International Journal of Production Economics (Elsevier, Impact Factor 4,998).
NORFACE Governance Grant for Prof. Dr. Goran Glavaš
The European NORFACE Network has selected the grant proposal “Willingness and Capacity for EU Policy Action in Turbulent Times: Conflicts, Positions and Outcomes”, (co-)proposed by Prof. Dr. Goran Glavaš, Juniorprofessor for Text Analytics (Data and Web Science Group, School of Business Informatics ...
Paper Accepted for International Journal of Forecasting
The paper “Daily Retail Demand Forecasting Using Machine Learning with Emphasis on Calendric Special Days” by Jakob Huber and Heiner Stuckenschmidt has been accepted for the International Journal of Forecasting (Impact Factor 3.386) DOI: doi.org/10.1016/j.ijforecast.2020.02.005
Paper Accepted for IEEE ITS
The paper “Improving Smart Charging Prioritization By Predicting Electric Vehicle Departure Time” by Oliver Frendo, Nadine Gaertner and Heiner Stuckenschmidt has been accepted for IEEE Transactions on Intelligent Transportation Systems (Impact Factor 5.744)
Paper accepted at ICLR 2020: You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
The paper “You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings” by Daniel Ruffinelli, Samuel Broscheit and Rainer Gemulla has been accepted at the 2020 International Conference of Learning Representations (ICLR). Abstract: Knowledge graph embedding (KGE) models learn ...
LibKGE knowledge graph embedding library released
LibKGE is a PyTorch-based library for efficient training, evaluation, and hyperparameter optimization of knowledge graph embeddings (KGE). It is highly configurable, easy to use, and extensible.
First PhD Student Poster Session of DWS Colloquium FSS2020
The first DWS PhD Student Poster Session of the FSS2019 DWS Colloquium took place today.
Juniorprofessor on Process Analytics starting in April
We are very happy to announce that Dr. Han van der Aa will be assigned as Juniorprofessor at the School of Business Informatics and Mathematics in April. Dr. van der Aa reseach focus is data-driven process analytics and he will join the DWS group as 8th professor. Welcome!
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