Argyris Kalogeratos

According to our database, Argyris Kalogeratos authored at least 40 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DeGroot-Based Opinion Formation Under a Global Steering Mechanism.

Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos

IEEE Trans. Comput. Soc. Syst., June, 2024

Leveraging Graph Neural Networks to Forecast Electricity Consumption.

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

CoRR, 2024

Collaborative non-parametric two-sample testing.

Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos

CoRR, 2024

LIPO+: Frugal Global Optimization for Lipschitz Functions.

Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization.

Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters.

Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas

CoRR, 2023

Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation.

Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2023

A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data.

Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Clustering for directed graphs using parametrized random walk diffusion kernels.

Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos

CoRR, 2022

Collaborative likelihood-ratio estimation over graphs.

Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2022

Generalized Spectral Clustering for Directed and Undirected Graphs.

Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos

CoRR, 2022

To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries.

Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.

Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

J. Mach. Learn. Res., 2021

Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes.

Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2021

Offline detection of change-points in the mean for stationary graph signals.

Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient stream-based Max-Min diversification with minimal failure rate.

Mathilde Fekom, Argyris Kalogeratos

CoRR, 2020

Winning the competition: enhancing counter-contagion in SIS-like epidemic processes.

Argyris Kalogeratos, Stefano Sarao Mannelli

CoRR, 2020

Model family selection for classification using Neural Decision Trees.

Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot

CoRR, 2020

Dynamic Epidemic Control via Sequential Resource Allocation.

Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos

CoRR, 2020

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications.

Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Learning the piece-wise constant graph structure of a varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Detecting multiple change-points in the time-varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2019

Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning.

Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis

CoRR, 2019

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks.

Batiste Le Bars, Argyris Kalogeratos

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection.

Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Learning Laplacian Matrix from Bandlimited Graph Signals.

Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos

Proceedings of the IEEE International Conference on Acoustics, 2019

Sequential Dynamic Resource Allocation for Epidemic Control.

Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

The Multi-Round Sequential Selection Problem.

Mathilde Fekom, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2018

2017

A Spectral Method for Activity Shaping in Continuous-Time Information Cascades.

Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis

CoRR, 2017

Multivariate Hawkes Processes for Large-Scale Inference.

Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Suppressing Epidemics in Networks Using Priority Planning.

Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis

IEEE Trans. Netw. Sci. Eng., 2016

Improving Text Stream Clustering using Term Burstiness and Co-burstiness.

Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

2015

A Greedy Approach for Dynamic Control of Diffusion Processes in Networks.

Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014

What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks.

Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2014

2013

Knowledge extraction methods from document collections

Argyris Kalogeratos

PhD thesis, 2013

2012

Text document clustering using global term context vectors.

Argyris Kalogeratos, Aristidis Likas

Knowl. Inf. Syst., 2012

Dip-means: an incremental clustering method for estimating the number of clusters.

Argyris Kalogeratos, Aristidis Likas

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Document clustering using synthetic cluster prototypes.

Argyris Kalogeratos, Aristidis Likas

Data Knowl. Eng., 2011

2009

Movie segmentation into scenes and chapters using locally weighted bag of visual words.

Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2006

A Significance-Based Graph Model for Clustering Web Documents.

Argyris Kalogeratos, Aristidis Likas

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006