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Grigorios Tzortzis
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2010 – 2019
- 2018
- [c11]Ilias Sarantopoulos, Dimitrios Papatheodorou, Dimitrios Vogiatzis, Grigorios Tzortzis, Georgios Paliouras:
TimeRank: A Random Walk Approach for Community Discovery in Dynamic Networks. COMPLEX NETWORKS (1) 2018: 338-350 - [c10]Georgios Kechagias, Grigorios Tzortzis, George Paliouras, Dimitrios Vogiatzis:
A Parallel Algorithm for Tracking Dynamic Communities based on Apache Flink. SETN 2018: 9:1-9:4 - [c9]George Athanasopoulos, George Paliouras, Dimitrios Vogiatzis, Grigorios Tzortzis, Nikos Katzouris:
Predicting the Evolution of Communities with Online Inductive Logic Programming. TIME 2018: 4:1-4:20 - 2017
- [c8]Maria Evangelia G. Pavlopoulou, Grigorios Tzortzis, Dimitrios Vogiatzis, George Paliouras:
Predicting the evolution of communities in social networks using structural and temporal features. SMAP 2017: 40-45 - 2016
- [j4]Marianna Sakka, Grigorios Tzortzis, Michalis D. Mantzaris, Nick Bekas, Tahsin F. Kellici, Aristidis Likas, Dimitrios Galaris, Ioannis P. Gerothanassis, Andreas G. Tzakos:
PRESS: PRotEin S-Sulfenylation server. Bioinform. 32(17): 2710-2712 (2016) - [e1]Constantine D. Spyropoulos, Georgios Pierris, Grigorios Tzortzis:
Proceedings of the 2nd Workshop on Artificial Intelligence and Internet of Things co-located with the 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, Netherlands, August 30, 2016. CEUR Workshop Proceedings 1724, CEUR-WS.org 2016 [contents] - 2015
- [c7]Charilaos Akasiadis, Grigorios Tzortzis, Evaggelos Spyrou, Constantine D. Spyropoulos:
Developing complex services in an IoT ecosystem. WF-IoT 2015: 52-56 - 2014
- [b1]Grigorios Tzortzis:
Clustering using similarity and kernel matrices. University of Ioannina, Greece, 2014 - [j3]Grigorios Tzortzis, Aristidis Likas:
The MinMax k-Means clustering algorithm. Pattern Recognit. 47(7): 2505-2516 (2014) - [c6]Grigorios Tzortzis, Aristidis Likas:
Ratio-Based Multiple Kernel Clustering. ECML/PKDD (3) 2014: 241-257 - 2012
- [c5]Grigorios Tzortzis, Aristidis Likas:
Kernel-Based Weighted Multi-view Clustering. ICDM 2012: 675-684 - [c4]Grigorios Tzortzis, Aristidis Likas:
Greedy Unsupervised Multiple Kernel Learning. SETN 2012: 73-80 - 2010
- [j2]Grigorios Tzortzis, C. L. Likas:
Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models. IEEE Trans. Neural Networks 21(12): 1925-1938 (2010)
2000 – 2009
- 2009
- [j1]Grigorios Tzortzis, Aristidis Likas:
The Global Kernel k -Means Algorithm for Clustering in Feature Space. IEEE Trans. Neural Networks 20(7): 1181-1194 (2009) - [c3]Grigorios Tzortzis, Aristidis Likas:
Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214 - 2008
- [c2]Grigorios Tzortzis, Aristidis Likas:
The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984 - 2007
- [c1]Grigorios Tzortzis, Aristidis Likas:
Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309
Coauthor Index
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