Paper titled Establishing Architecture Guidelines in Large-Scale Agile Development Through Institutional Pressures by Ömer Uludag, Sascha Nägele, and Matheus Hauder accepted at AMCIS 2019
May 2, 2019
May 2, 2019
May 2, 2019
Jan 15, 2019
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).
Dec 6, 2018
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).
Oct 15, 2018
The team of Florian Matthes, consisting of Ingo Glaser, and Elena Scepankova, has published their recent results on Classifying Semantic Types of Legal Sentences: Portability of Machine Learning Models at the 31st international conference on legal knowledge and information systems (Jurix). The paper is going to be presented at the conference from 12-14 December 2018, Netherlands, Groningen.
More details can be found here.