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 papers by DWS members have been accepted for EMNLP 2020, a top-tier conference in natural language processing (NLP)!
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 ...
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).
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)
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)
In this years Bohnenspiel championship the AI Beanzilla has dominated the field of participants.
We are looking to hire a full-time post-doc (E13 100%) at the Data and Web Science group of the University of Mannheim to work on natural language understanding of political texts - see  for an overview of the research area. The successful candidate will contribute to projects B6 and C4 of the ...
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)
Joint work with our colleagues from the University of Heidelberg in the contex of the Explain Project entitled "Exploiting Background Knowledge for Argumentative Relation Classification" by Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Anette Frank and Heiner Stuckenschmidt has won the ...
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