| Dip-means: an incremental clustering method for estimating the number of clusters A Kalogeratos, A Likas Advances in neural information processing systems 25, 2393-2401, 2012 | 86 | 2012 |
| Text document clustering using global term context vectors A Kalogeratos, A Likas Knowledge and information systems 31 (3), 455-474, 2012 | 50 | 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 | 49 | 2009 |
| Document clustering using synthetic cluster prototypes A Kalogeratos, A Likas Data & Knowledge Engineering 70 (3), 284-306, 2011 | 40 | 2011 |
| 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 | 21 | 2016 |
| Multivariate hawkes processes for large-scale inference R Lemonnier, K Scaman, A Kalogeratos Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 20 | 2017 |
| 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 | 11 | 2019 |
| 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 | 9 | 2016 |
| 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 | 8 | 2019 |
| 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 | 8 | 2015 |
| 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 | 5 | 2014 |
| Learning the piece-wise constant graph structure of a varying Ising model B Le Bars, P Humbert, A Kalogeratos, N Vayatis International Conference on Machine Learning, 675-684, 2020 | 4 | 2020 |
| Information diffusion and rumor spreading A Kalogeratos, K Scaman, L Corinzia, N Vayatis Cooperative and Graph Signal Processing, 651-678, 2018 | 4 | 2018 |
| 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 | 4 | 2017 |
| Sequential dynamic resource allocation for epidemic control M Fekom, N Vayatis, A Kalogeratos 2019 IEEE 58th Conference on Decision and Control (CDC), 6338-6343, 2019 | 3 | 2019 |
| 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 laplacian matrix from graph signals with sparse spectral representation P Humbert, B Le Bars, L Oudre, A Kalogeratos, N Vayatis | 2 | 2019 |
| The warm-starting sequential selection problem and its multi-round extension M Fekom, N Vayatis, A Kalogeratos arXiv preprint arXiv:1809.07299, 2018 | 2 | 2018 |
| 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 |
Nicolas VayatisProfesseur des universités, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
