Argyris Kalogeratos

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Hypothesis Testing

Resource Allocation

Likelihood Ratio

Top Venues

Publications

Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos
DeGroot-Based Opinion Formation Under a Global Steering Mechanism. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. AISTATS (2024)
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
Collaborative non-parametric two-sample testing. CoRR (2024)
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. CoRR (2023)
Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis
A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. ICTAI (2023)
Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis
A framework for paired-sample hypothesis testing for high-dimensional data. CoRR (2023)
Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas
UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. CoRR (2023)
Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation. CoRR (2023)
Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
Collaborative likelihood-ratio estimation over graphs. CoRR (2022)
Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
Clustering for directed graphs using parametrized random walk diffusion kernels. CoRR (2022)
Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos
DeGroot-based opinion formation under a global steering mechanism. CoRR (2022)
Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
Generalized Spectral Clustering for Directed and Undirected Graphs. CoRR (2022)
Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) (2022)
Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR (2022)
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 (2021)
Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes. CoRR (2021)
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
Offline detection of change-points in the mean for stationary graph signals. AISTATS (2021)
Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot
Model family selection for classification using Neural Decision Trees. CoRR (2020)
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
Offline detection of change-points in the mean for stationary graph signals. CoRR (2020)
Argyris Kalogeratos, Stefano Sarao Mannelli
Winning the competition: enhancing counter-contagion in SIS-like epidemic processes. CoRR (2020)
Mathilde Fekom, Argyris Kalogeratos
Efficient stream-based Max-Min diversification with minimal failure rate. CoRR (2020)
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. CoRR (2020)
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Dynamic Epidemic Control via Sequential Resource Allocation. CoRR (2020)
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
Learning the piece-wise constant graph structure of a varying Ising model. ICML (2020)
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)
Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos
Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP (2019)
Batiste Le Bars, Argyris Kalogeratos
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. INFOCOM (2019)
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Sequential Dynamic Resource Allocation for Epidemic Control. CoRR (2019)
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Sequential Dynamic Resource Allocation for Epidemic Control. CDC (2019)
Batiste Le Bars, Argyris Kalogeratos
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. CoRR (2019)
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. ICTAI (2019)
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 (2019)
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
Detecting multiple change-points in the time-varying Ising model. CoRR (2019)
Mathilde Fekom, Argyris Kalogeratos, Nicolas Vayatis
The Multi-Round Sequential Selection Problem. CoRR (2018)
Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. CoRR (2017)
Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos
Multivariate Hawkes Processes for Large-Scale Inference. AAAI (2017)
Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas
Improving Text Stream Clustering using Term Burstiness and Co-burstiness. SETN (2016)
Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
Suppressing Epidemics in Networks Using Priority Planning. IEEE Trans. Netw. Sci. Eng. 3 (4) (2016)
Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
A Greedy Approach for Dynamic Control of Diffusion Processes in Networks. ICTAI (2015)
Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks. CoRR (2014)
Argyris Kalogeratos, Aristidis Likas
Dip-means: an incremental clustering method for estimating the number of clusters. NIPS (2012)
Argyris Kalogeratos, Aristidis Likas
Text document clustering using global term context vectors. Knowl. Inf. Syst. 31 (3) (2012)
Argyris Kalogeratos, Aristidis Likas
Document clustering using synthetic cluster prototypes. Data Knowl. Eng. 70 (3) (2011)
Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas
Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR (2009)
Argyris Kalogeratos, Aristidis Likas
A Significance-Based Graph Model for Clustering Web Documents. SETN (2006)