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Argyris Kalogeratos
Argyris Kalogeratos
Researcher at Centre Borelli, ENS Paris-Saclay
Verified email at ens-paris-saclay.fr - Homepage
Title
Cited by
Cited by
Year
Dip-means: an incremental clustering method for estimating the number of clusters
A Kalogeratos, A Likas
Advances in neural information processing systems 25, 2012
912012
Text document clustering using global term context vectors
A Kalogeratos, A Likas
Knowledge and information systems 31 (3), 455-474, 2012
512012
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
482009
Document clustering using synthetic cluster prototypes
A Kalogeratos, A Likas
Data & Knowledge Engineering 70 (3), 284-306, 2011
432011
Multivariate Hawkes processes for large-scale inference
R Lemonnier, K Scaman, A Kalogeratos
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
322017
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
242016
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
212019
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
142019
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
142015
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
112016
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
62021
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
62020
Dynamic treatment allocation for epidemic control in arbitrary networks
K Scaman, A Kalogeratos, N Vayatis
Diffusion Networks and Cascade Analytics workshop, 2014
62014
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
52014
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
42019
Information diffusion and rumor spreading
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Cooperative and Graph Signal Processing, 651-678, 2018
42018
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
42017
Learning to suppress SIS epidemics in networks
A Kalogeratos, K Scaman, N Vayatis
Networks in the Social and Information Sciences workshop, 2015
42015
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, 2021
32021
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, SE Chick, A Dib, ...
medRxiv, 2021
32021
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