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).
Aug 12, 2018
In recent years, personalized connected care has become increasingly important due to the generally aging population and the rising cost pressures in the healthcare sector. Nevertheless, to the best of our knowledge, there are no off-the-shelf solutions available to provide open and adaptable information and communication technology (ICT) for connected care; the reasons for this may differ between use cases. Based on our case studies at hospitals in different European countries, we identified three main challenges of such for ICT solution: 1) the high diversity between hospital sites and treatments, 2) the embedding of information from existing information systems, and 3) the coordination and communication of the many different stakeholders. Our approach is to use a full stack modelbased solution that supports the integration, communication, and coordination of the pending work. Currently, our solution is being used for clinical trials. [link]