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Argyris Kalogeratos
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2020 – today
- 2024
- [j5]Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos:
DeGroot-Based Opinion Formation Under a Global Steering Mechanism. IEEE Trans. Comput. Soc. Syst. 11(3): 4040-4057 (2024) - [c16]Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos:
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. AISTATS 2024: 1189-1197 - [i25]Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos:
Collaborative non-parametric two-sample testing. CoRR abs/2402.05715 (2024) - [i24]Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos:
Leveraging Graph Neural Networks to Forecast Electricity Consumption. CoRR abs/2408.17366 (2024) - 2023
- [c15]Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis:
A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. ICTAI 2023: 16-21 - [i23]Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis:
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation. CoRR abs/2301.03011 (2023) - [i22]Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis:
A framework for paired-sample hypothesis testing for high-dimensional data. CoRR abs/2309.16274 (2023) - [i21]Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos:
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. CoRR abs/2311.01900 (2023) - [i20]Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas:
UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. CoRR abs/2312.11323 (2023) - 2022
- [c14]Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot:
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) 2022: 660-672 - [i19]Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos:
Generalized Spectral Clustering for Directed and Undirected Graphs. CoRR abs/2203.03221 (2022) - [i18]Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis:
Collaborative likelihood-ratio estimation over graphs. CoRR abs/2205.14461 (2022) - [i17]Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos:
Clustering for directed graphs using parametrized random walk diffusion kernels. CoRR abs/2210.00310 (2022) - [i16]Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot:
To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR abs/2210.03672 (2022) - [i15]Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos:
DeGroot-based opinion formation under a global steering mechanism. CoRR abs/2210.12274 (2022) - 2021
- [j4]Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis:
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. J. Mach. Learn. Res. 22: 195:1-195:47 (2021) - [c13]Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos:
Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021: 3430-3438 - [i14]Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis:
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes. CoRR abs/2110.10518 (2021) - 2020
- [c12]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Learning the piece-wise constant graph structure of a varying Ising model. ICML 2020: 675-684 - [c11]Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis:
Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications. SETN 2020: 56-59 - [i13]Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. CoRR abs/2002.05160 (2020) - [i12]Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Dynamic Epidemic Control via Sequential Resource Allocation. CoRR abs/2006.07199 (2020) - [i11]Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos:
Offline detection of change-points in the mean for stationary graph signals. CoRR abs/2006.10628 (2020) - [i10]Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot:
Model family selection for classification using Neural Decision Trees. CoRR abs/2006.11458 (2020) - [i9]Argyris Kalogeratos, Stefano Sarao Mannelli:
Winning the competition: enhancing counter-contagion in SIS-like epidemic processes. CoRR abs/2006.13395 (2020) - [i8]Mathilde Fekom, Argyris Kalogeratos:
Efficient stream-based Max-Min diversification with minimal failure rate. CoRR abs/2011.10659 (2020)
2010 – 2019
- 2019
- [c10]Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Sequential Dynamic Resource Allocation for Epidemic Control. CDC 2019: 6338-6343 - [c9]Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos:
Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP 2019: 2937-2941 - [c8]Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. ICTAI 2019: 1429-1433 - [c7]Batiste Le Bars, Argyris Kalogeratos:
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. INFOCOM 2019: 2188-2196 - [i7]Batiste Le Bars, Argyris Kalogeratos:
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. CoRR abs/1902.04521 (2019) - [i6]Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis:
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. CoRR abs/1907.06614 (2019) - [i5]Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Sequential Dynamic Resource Allocation for Epidemic Control. CoRR abs/1909.09678 (2019) - [i4]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Detecting multiple change-points in the time-varying Ising model. CoRR abs/1910.08512 (2019) - 2018
- [i3]Mathilde Fekom, Argyris Kalogeratos, Nicolas Vayatis:
The Multi-Round Sequential Selection Problem. CoRR abs/1809.07299 (2018) - 2017
- [c6]Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos:
Multivariate Hawkes Processes for Large-Scale Inference. AAAI 2017: 2168-2174 - [i2]Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis:
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. CoRR abs/1709.05231 (2017) - 2016
- [j3]Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis:
Suppressing Epidemics in Networks Using Priority Planning. IEEE Trans. Netw. Sci. Eng. 3(4): 271-285 (2016) - [c5]Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas:
Improving Text Stream Clustering using Term Burstiness and Co-burstiness. SETN 2016: 16:1-16:9 - 2015
- [c4]Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis:
A Greedy Approach for Dynamic Control of Diffusion Processes in Networks. ICTAI 2015: 652-659 - 2014
- [i1]Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis:
What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks. CoRR abs/1407.4760 (2014) - 2013
- [b1]Argyris Kalogeratos:
Knowledge extraction methods from document collections. University of Ioannina, Greece, 2013 - 2012
- [j2]Argyris Kalogeratos, Aristidis Likas:
Text document clustering using global term context vectors. Knowl. Inf. Syst. 31(3): 455-474 (2012) - [c3]Argyris Kalogeratos, Aristidis Likas:
Dip-means: an incremental clustering method for estimating the number of clusters. NIPS 2012: 2402-2410 - 2011
- [j1]Argyris Kalogeratos, Aristidis Likas:
Document clustering using synthetic cluster prototypes. Data Knowl. Eng. 70(3): 284-306 (2011)
2000 – 2009
- 2009
- [c2]Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas:
Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR 2009 - 2006
- [c1]Argyris Kalogeratos, Aristidis Likas:
A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519
Coauthor Index
aka: Alejandro D. de la Concha Duarte
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last updated on 2024-09-30 00:03 CEST by the dblp team
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