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ACM AICCC'18 Best Paper Prize for Paper 'Stop Illegal Comments A Multi-Task Deep Learning Approach'

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).


ACS Best Paper Prize for paper Visualizing Business Ecosystems Applying a Collaborative Modelling Process in Two Case Studies

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 FaberAdrian 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).


Paper on Classifying Semantic Types of Legal Sentences - Portability of Machine Learning Models has been accepted at Jurix 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.

 


Paper titled A Holistic Model-based Adaptive Case Management Approach for Healthcare accepted at AdaptiveCM 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]


Paper titled An-Overview-of-Tools-for-an-Integrated-and-Adaptive-Healthcare-Approach accepted at AdaptiveCM 2018

Integrated care approaches are becoming increasingly relevant with the current aging population. In the context of an integrated healthcare project, we developed a smart adaptive case management system for professionals that is currently being used for clinical trials. In this paper, we present the modeling requirements for integrated healthcare applications and use them to categorize and compare existing implementation approaches used in practice. [link]