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).
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!
44.2 billion quads Microdata, Embedded JSON-LD, RDFa, and Microformat data originating from 11.9 million websites published
The DWS group is happy to announce the new release of the WebDataCommons Microdata, JSON-LD, RDFa and Microformat data corpus. The data has been extracted from the November 2019 version of the Common Crawl covering 2.4 billion HTML pages which originate from 32 million websites (pay-level domains).