| Dip-means: an incremental clustering method for estimating the number of clusters A Kalogeratos, A Likas Advances in neural information processing systems, 2393-2401, 2012 | 68 | 2012 |
| Text document clustering using global term context vectors A Kalogeratos, A Likas Knowledge and information systems 31 (3), 455-474, 2012 | 43 | 2012 |
| Movie segmentation into scenes and chapters using locally weighted bag of visual words V Chasanis, A Kalogeratos, A Likas Proceedings of the ACM International Conference on Image and Video Retrieval …, 2009 | 40 | 2009 |
| Document clustering using synthetic cluster prototypes A Kalogeratos, A Likas Data & Knowledge Engineering 70 (3), 284-306, 2011 | 39 | 2011 |
| Multivariate Hawkes processes for large-scale inference R Lemonnier, K Scaman, A Kalogeratos Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 15 | 2017 |
| Suppressing epidemics in networks using priority planning K Scaman, A Kalogeratos, N Vayatis IEEE Transactions on Network Science and Engineering 3 (4), 271-285, 2016 | 12 | 2016 |
| A greedy approach for dynamic control of diffusion processes in networks K Scaman, A Kalogeratos, N Vayatis 2015 IEEE 27th International Conference on Tools with Artificial …, 2015 | 6 | 2015 |
| Improving text stream clustering using term burstiness and co-burstiness A Kalogeratos, P Zagorisios, A Likas Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 1-9, 2016 | 5 | 2016 |
| What makes a good plan? An efficient planning approach to control diffusion processes in networks K Scaman, A Kalogeratos, N Vayatis arXiv preprint arXiv:1407.4760, 2014 | 4 | 2014 |
| A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks B Le Bars, A Kalogeratos IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2188-2196, 2019 | 3 | 2019 |
| A spectral method for activity shaping in continuous-time information cascades K Scaman, A Kalogeratos, L Corinzia, N Vayatis arXiv preprint arXiv:1709.05231, 2017 | 3 | 2017 |
| Dynamic treatment allocation for epidemic control in arbitrary networks K Scaman, A Kalogeratos, N Vayatis Diffusion Networks and Cascade Analytics workshop, 2014 | 3 | 2014 |
| Learning to suppress SIS epidemics in networks A Kalogeratos, K Scaman, N Vayatis Networks in the Social and Information Sciences workshop, 2015 | 2 | 2015 |
| A significance-based graph model for clustering web documents A Kalogeratos, A Likas Hellenic Conference on Artificial Intelligence, 516-519, 2006 | 2 | 2006 |
| The warm-starting sequential selection problem and its multi-round extension M Fekom, N Vayatis, A Kalogeratos arXiv preprint, 2019 | 1 | 2019 |
| Revealing posturographic features associated with the risk of falling in patients with parkinsonian syndromes via machine learning I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis arXiv preprint arXiv:1907.06614, 2019 | 1 | 2019 |
| Learning Laplacian Matrix from Bandlimited Graph Signals B Le Bars, P Humbert, L Oudre, A Kalogeratos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Information diffusion and rumor spreading A Kalogeratos, K Scaman, L Corinzia, N Vayatis Cooperative and Graph Signal Processing, 651-678, 2018 | 1 | 2018 |
| Mining Clinical Data A Kalogeratos, V Chasanis, G Rakocevic, A Likas, Z Babovic, ... Computational Medicine in Data Mining and Modeling, 1-34, 2013 | 1 | 2013 |
| Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection M Fekom, N Vayatis, A Kalogeratos 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | | 2019 |
Aristidis LikasProfessor, Computer Science & Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
