2020W

• Self-Organizing Systems / 188.413 / VU

• Harnessing Information from Social Networks in Industry 4.0
  2016 – 2017 / Austrian Research Promotion Agency (FFG)

• Message Ranking in a Factory Setting Using Context and User Preference / A. Taha, F. Piroi, A. Hanbury, T. Tropper, T. Mutzl, H. Shehata / in: "22nd IEEE Conference on Emerging Technologies & Factory Automation (ETFA)", IEEE, 2017, ISSN: 1946-0759, 4 pages
• Herausforderungen in der Anwendbarkeit von Metriken: Bias, Effizienz und Hubness / A. Taha / GI-Edition Lecture Notes in Informatics, D-16 (2016), 289 - 298
• Cloud-based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks / O. Jimenez del Toro, H. Müller, M. Krenn, M. Grünberg, A. Taha, M. Winterstein, A. Hanbury et al. / IEEE Transactions on Medical Imaging, 35 (2016), 11; 2459 - 2475
• An Efficient Algorithm for Calculating the Exact Hausdorff Distance / A. Taha, A. Hanbury / IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (2015), 11; 2153 - 2163
• Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool / A. Taha, A. Hanbury / BMC Medical Imaging, 0 (2015), 15 - 29
• Addressing metric challenges: Bias and Selection - Efficient Computation - Hubness Explanation and Estimation / PhD Thesis by A. Taha / Supervisor, Reviewer: A. Rauber, J. Benois-Pineau; Software Technology and Interactive Systems, 2015; oral examination: 2015-12-22
• A formal method for selecting evaluation metrics for image segmentation / A. Taha, A. Hanbury, O. Jimenez del Toro / in: "IEEE International Conference on Image Processing (ICIP)", 37; issued by: IEEE ICIP Proceedings; IEEE, Paris, 2014, 932 - 936
• Coloring of the Sel-Organising Maps Based on Class Labels / Master Thesis by A. Taha / Supervisor: A. Rauber; Institute of Software Technology and Interactive Systems, 2006; final examination: 2006-11-13