Publications

Year: 2017

  • Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas: “Self-Trained Stacking Model for Semi-Supervised Learning”, International Journal on Artificial Intelligence Tools 26(2): 1-21 (2017), doi: 10.1142/S0218213017500014 [link] [results]
  • G Kamaris, S Karlos, S Terpinas, D koutsaidis, J Mourjopoulos: Audio System Spatial Image Evaluation via Binaural Feature Classification, Audio Engineering Society Convention 142 (AES Engineering Briefs). [link]
  • Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, and Kyriakos Sgarbas, “Self-trained Rotation Forest for semi-supervised learning”, Journal of Intelligent and Fuzzy Systems 32(1): 711-722 (2017), doi:10.3233/JIFS-152641. [link] [results]
  • Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris B. Kotsiantis, Kyriakos Sgarbas: Locally application of naive Bayes for self-training”, Evolving Systems, March 2017, Volume 8, Issue 1, pp. 1-16, doi: 10.1007/s12530-016-9159-3. [link] [view-only-version] [results]

Year: 2016

  • Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, and Kyriakos Sgarbas: Semi-supervised forecasting of fraudulent financial statements, Proceedings of the 20th Panhellenic Conference on Informatics, PCI 2016, Patras, Greece, November 10-12, 2016. ACM 2016, ISBN 978-1-4503-4789-1. [link] – Best Student Paper Award
  • Vangjel Kazlarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis:  Automated hand gesture recognition for educational applications, Proceedings of the 20th Panhellenic Conference on Informatics, PCI 2016, Patras, Greece, November 10-12, 2016. ACM 2016, ISBN  978-1-4503-4789-1. [link]
  • Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, and Kyriakos Sgarbas: Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification, 7th International Conference on Information, Intelligence, Systems & Applications (IISA), 2016, doi: 10.1109/IISA.2016.7785414. [link] [results] – Best Student Paper Award
  • Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, and Kyriakos Sgarbas: Effectiveness of semi-supervised learning in bankruptcy prediction, 7th International Conference on Information, Intelligence, Systems & Applications (IISA), 2016, doi: 10.1109/IISA.2016.7785435. [link]
  • G Kamaris, S Karlos, N Fazakis, S Terpinas, J Mourjopoulos: Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms, Audio Engineering Society Convention 140 (AES Engineering Briefs). [link]
  • Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, and Kyriakos Sgarbas, “A Semisupervised Cascade Classification Algorithm”, Applied Computational Intelligence and Soft Computing, vol. 2016, Article ID 5919717, 14 pages, 2016. doi:10.1155/2016/5919717. [link] [results]
  • Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, and Kyriakos Sgarbas, “Self-Trained LMT for Semisupervised Learning”, Computational Intelligence and Neuroscience, vol. 2016, Article ID 3057481, 13 pages, 2016. doi:10.1155/2016/3057481. [link] [results]

Year: 2015

  • Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos Sgarbas:
    Speaker Identification Using Semi-supervised Learning, SPECOM 2015: Chapter Speech and ComputerVolume 9319 of the series Lecture Notes in Computer Science pp. 389-396. [link]
  • G. Kostopoulos, S. Kotsiantis, P. Pintelas, Predicting Student Performance in Distance Higher Education Using Semi-Supervised Techniques, MEDI 2015, Volume 9344 of the series Lecture Notes in Computer Science pp 259-270, 2015. [link]
  • G. Kostopoulos, S. Kotsiantis, P. Pintelas. 2015. Estimating student dropout in distance higher education using semi-supervised techniques. In Proceedings of the 19th Panhellenic Conference on Informatics (PCI ’15), ACM, 38-43. [link]