Sebis Research News

The paper "Stop Illegal Comments: A Multi-Task Deep Learning Approach" was presented at the ACM 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018), Tokyo, Japan. The authors (Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian Matthes) outperformed the state of the art results in detecting illegal comments using transfer learning and multi-task deep learning approach. The paper has won the best paper prize for AI and Machine Learning (first place).

The paper Visualizing Business Ecosystems: Applying a Collaborative Modelling Process in Two Case Studies was presented at the Australasian Conference on Information Systems (ACIS 2019), Sydney, Australia. The authors (Anne Faber, Adrian Hernandez-Mendez, Sven-Volker Rehm and Florian Matthes) report from case studies of two companies that have instantiated ecosystem models following a collaborative approach. The paper has won the ACS Best Paper Prize (third place).

The paper An Agile Framework for Modeling Smart City Business Ecosystems  was presented at the International Conference on Enterprise Information Systems 2018 (ICEIS 2018), Funchal, Madeira, Portugal. The authors (Anne Faber, Adrian Hernandez-Mendez, Sven-Volker Rehm and Florian Matthes) describe a collaborative modeling process, which empowers end-users to manage the business ecosystem models and underlying data. The paper has won the ICEIS 2018 Best Paper Award.