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Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
Prof. Dr. Heiko Paulheim
Prof. Dr. Simone Paolo Ponzetto
Prof. Dr. Heiner Stuckenschmidt
Prof. Dr. Philipp Kellmeyer
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Daniel Ruffinelli
Dr. Ines Rehbein
Dr. Ioana Hulpus
Dr. Melisachew Wudage Chekol
Dr. Christian Meilicke
Dr. Federico Nanni
Rita Torres de Sousa
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Shashank Agnihotri
Katharina Prasse
Keyvan Amiri Elyasi
Darshit Pandya
Alexander Beier
Patrick Betz
Alexander Brinkmann
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Chia-Chien Hung
Andreea Iana
Jakob Kappenberger
Christopher Klamm
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Keti Korini
Franz Krause
Steffen Jung
Alexander Kraus
Robert Litschko
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Adrian Rebmann
Ines Reinig
Michael Schlechtinger
Fabian David Schmidt
Sotaro Takeshita
Simon Forbat
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Patrick Müller
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Sven Hertling
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Prof. Dr. Paul Swoboda
Dr. Pedro Ortiz Suarez
Dr. Sarah Alturki
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Kiril Gashteovski
Prof. Dr. Goran Glavaš
Dr. Anna Primpeli
Dr. Anne Lauscher
Dr. Taha Alhersh
Dr. Jakob Huber
Dr. Jonathan Kobbe
Dr. Timo Sztyler
Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
Dr. Yaser Oulabi
Alexander Diete
Dr. Kilian Theil
Research
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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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Courses for Master Candidates
IE 500 Data Mining
IE 560 Decision Support
IE 675b Machine Learning
CS 560 Large-Scale Data Management
IE 661 Text Analytics
DS 203: Responsible AI
IE 650 Knowledge Graphs
IE 663 Information Retrieval and Web Search
IE 670 Web Data Integration
IE 671 Web Mining
IE 686 Large Language Models and Agents
IE 696 Advanced Methods in Text Analytics
IE 672 Data Mining 2
IE 678 Deep Learning
IE 689 Relational Learning
IE 692 Advanced Process Mining
IE 694 Industrial Applications of Artificial Intelligence
CS 460 Database Technology
CS 646 Higher Level Computer Vision
CS 647 Image Processing
CS 704 Artificial Intelligence Seminar
CS 704 Social Simulation Seminar
CS 704 Seminar on Traffic Simulation & Analysis
CS 707 Data and Web Science Seminar
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 Foundation Models for Computer Vision
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
Data Analytics Team Project – Your Project, Your Team
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Courses for Bachelor Candidates
Praktische Informatik II
SM 445 Data and Web Science Seminar
SM 451 Seminar Ethical AI
Wirtschaftsinformatik II
Einführung in Data Science
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KI Seminar
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Courses for PhD Candidates
Colloquium FSS2023
Computational Text Analysis
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Area: Artificial Intelligence
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Three Papers accepted for CAiSE 2021
Three DWS papers have been accepted to the International Conference on Advanced Information Systems Engineering (CAiSE'21): “A Rule-based Recommendation Approach for Business Process Modeling” by Diana Sola, Christian Meilicke, Han van der Aa and Heiner Stuckenschmidt “Sketch2BPMN: Automatic ...
3 Projects funded in AI Programm
Three projects involving the DWS Group have been selected for funding in the AI Innovation Challenge programme of the federal state of Baden-Württemberg: Sally 2.0: a socially intelligent Chat-Bot (AI Group/
InES in cooperation with ALIRU GmbH and 100 Worte Sprachanalyse GmbH) Multilingual ...
1.5 Mio Funding from VW Foundation for work on social impact of AI
The VW Foundation is funding a joint project “CAIUS: Consequences of AI for Urban Societies” of the Chair of Artificial Intelligence (Prof. Stuckenschmidt) and the Chair for Statistics and Methodology (Prof. Kreuter) in cooperation with Prof. Eckert from HdM Stuttgart with 1.5 Mio Euro over the next ...
Four DWS papers accepted for EMNLP 2020!
Four papers by DWS members have been accepted for EMNLP 2020, a top-tier conference in natural language processing (NLP)!
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 ...
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).
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)
Bohnenspiel-Championship 2019
In this years Bohnenspiel championship the AI Beanzilla has dominated the field of participants.
Paper accepted for TKDE Journal
The Paper “POLARIS: Probabilistic and Ontological Activity Recognition in Smart-homes” by Claudio Bettini, Gabriele Civitarese, Daniele Riboni, Heiner Stuckenschmidt and Timo Sztyler has been accepted for IEEE Transactions on Knowledge and Data Engineering (Impact Factor 3.857)
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