Argyris Kalogeratos
Argyris Kalogeratos
Research Scientinst at Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay
Adresă de e-mail confirmată pe ens-paris-saclay.fr - Pagina de pornire
Citat de
Citat de
Dip-means: an incremental clustering method for estimating the number of clusters
A Kalogeratos, A Likas
Advances in neural information processing systems 25, 2012
Text document clustering using global term context vectors
A Kalogeratos, A Likas
Knowledge and information systems 31, 455-474, 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
Multivariate Hawkes processes for large-scale inference
R Lemonnier, K Scaman, A Kalogeratos
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
Document clustering using synthetic cluster prototypes
A Kalogeratos, A Likas
Data & Knowledge Engineering 70 (3), 284-306, 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
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
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
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
Learning Laplacian matrix from graph signals with sparse spectral representation
P Humbert, B Le Bars, L Oudre, A Kalogeratos, N Vayatis
Journal of Machine Learning Research 22 (195), 1-47, 2021
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
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
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
Information diffusion and rumor spreading
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Cooperative and Graph Signal Processing, 651-678, 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
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
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
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
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
Sequential dynamic resource allocation for epidemic control
M Fekom, N Vayatis, A Kalogeratos
IEEE 58th Conference on Decision and Control (CDC), 6338-6343, 2019
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