| Dip-means: an incremental clustering method for estimating the number of clusters A Kalogeratos, A Likas Advances in neural information processing systems 25, 2012 | 109 | 2012 |
| Text document clustering using global term context vectors A Kalogeratos, A Likas Knowledge and information systems 31, 455-474, 2012 | 54 | 2012 |
| Movie segmentation into scenes and chapters using locally weighted bag of visual words V Chasanis, A Kalogeratos, A Likas ACM International Conference on Image and Video Retrieval (ICIVR), 1-7, 2009 | 51 | 2009 |
| Document clustering using synthetic cluster prototypes A Kalogeratos, A Likas Data & Knowledge Engineering 70 (3), 284-306, 2011 | 44 | 2011 |
| Multivariate Hawkes processes for large-scale inference R Lemonnier, K Scaman, A Kalogeratos Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 36 | 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 | 30 | 2016 |
| Learning Laplacian matrix from bandlimited graph signals B Le Bars, P Humbert, L Oudre, A Kalogeratos IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019 | 26 | 2019 |
| A probabilistic framework to node-level anomaly detection in communication networks B Le Bars, A Kalogeratos IEEE Conference on Computer Communications (INFOCOM), 2188-2196, 2019 | 20 | 2019 |
| A greedy approach for dynamic control of diffusion processes in networks K Scaman, A Kalogeratos, N Vayatis IEEE 27th International Conference on Tools with Artificial Intelligence …, 2015 | 18 | 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 Iintelligence, 1-9, 2016 | 15 | 2016 |
| Learning Laplacian matrix from graph signals with sparse spectral representation P Humbert, B Le Bars, L Oudre, A Kalogeratos, N Vayatis The Journal of Machine Learning Research 22 (1), 8766-8812, 2021 | 11 | 2021 |
| Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis Plos one 16 (2), e0246790, 2021 | 9 | 2021 |
| 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 (ICML), 675-684, 2020 | 7 | 2020 |
| Information diffusion and rumor spreading A Kalogeratos, K Scaman, L Corinzia, N Vayatis Cooperative and Graph Signal Processing, 651-678, 2018 | 6 | 2018 |
| Dynamic treatment allocation for epidemic control in arbitrary networks K Scaman, A Kalogeratos, N Vayatis Proceedings of the ACM WSDM Workshop on the Diffusion Networks and Cascade …, 2014 | 6 | 2014 |
| 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 | 5 | 2017 |
| 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 |
| Epidemic models for covid-19 during the first wave from February to May 2020: A methodological review M Garin, M Limnios, A Nicolaï, I Bargiotas, O Boulant, S Chick, A Dib, ... arXiv preprint arXiv:2109.01450, 2021 | 4 | 2021 |
| Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis 11th hellenic conference on artificial intelligence, 56-59, 2020 | 4 | 2020 |
| Sequential dynamic resource allocation for epidemic control M Fekom, N Vayatis, A Kalogeratos IEEE 58th Conference on Decision and Control (CDC), 6338-6343, 2019 | 4 | 2019 |
Nicolas VayatisProfesseur des universités, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
