Pappas, Dimitrios
RESEARCH

Dimitrios Pappas

Personal Information

Position: Scientific Associate
Phone or fax: +30 210 6875338

 

CV data

Dimitris is a Research Assistant at the "Institute for Language and Speech Processing" of the "Athena Research and Innovation Center" and a PhD candidate at the Athens University of Economics and Business. He holds a MSc in Information Systems from the same University. He has worked as graduate teaching assistant in undergraduate and MSc courses for "Social Network Analysis", "Social Media Analytics", "Artificial Intelligence", "Text Engineering and Analytics" His research interests include Natural Language Processing, Machine Learning, Biomedical Question Answering and Information Retrieval.

 

Publications

  • Fergadis, A., Christos Baziotis, Pappas, D., Papageorgiou, H. & Alexandros Potamianos. (2018). Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations. Database : the journal of biological databases and curation, 2018. [...] 
  • Angelos Nezis, Papageorgiou, H., Pavlos Georgiadis, Petr Jiskra, Pappas, D. & Pontiki, M. (2018). Towards a fully personalized food recommendation tool. In Proceedings of the 2018 International Conference on Advanced Visual Interfaces, pages 77. [...] 
  • Pappas, D., Papageorgiou, H., Eleni Toli & Ioannidis, Y. (2017). Smart Cities in Stars: Food Perceptions and Beyond. In Internet Science: 4th International Conference, INSCI 2017, Thessaloniki, Greece, November 22-24, 2017, Proceedings, pages 174. [...] 
  • Fergadis, A., Christos Baziotis, Pappas, D., Papageorgiou, H. & Alexandros Potamianos. (2017). Hierarchical bidirectional attention-based RNN in BioCreative VI precision medicine track, document triage task. In Proceedings of the Sixth BioCreative Challenge Evaluation Workshop. Bethesda, Maryland, USA. [...] 
  • Giagkou, M., Fragkakis, G., Pappas, D. & Papageorgiou, H. (2017). Feature extraction and analysis in Greek L2 texts in view of automatic labeling for proficiency levels. In Proceedings of the ICGL12, pages 357-368. Romiosini/CeMoG, Freie Universitat Berlin. [...]