A Significance-Based Graph Model for Clustering Web Documents. - Argyris Kalogeratos; Aristidis Likas (SETN, 2006)

Movie segmentation into scenes and chapters using locally weighted bag of visual words. - Vasileios Chasanis; Argyris Kalogeratos; Aristidis Likas (CIVR, 2009)

Document clustering using synthetic cluster prototypes. - Argyris Kalogeratos; Aristidis Likas (Data Knowl. Eng., 2011)

Dip-means: an incremental clustering method for estimating the number of clusters. - Argyris Kalogeratos; Aristidis Likas (NIPS, 2012)

Text document clustering using global term context vectors. - Argyris Kalogeratos; Aristidis Likas (Knowl. Inf. Syst., 2012)

Knowledge extraction methods from document collections - Argyris Kalogeratos (2013)

What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks. - Kevin Scaman; Argyris Kalogeratos; Nicolas Vayatis (CoRR, 2014)

A Greedy Approach for Dynamic Control of Diffusion Processes in Networks. - Kevin Scaman; Argyris Kalogeratos; Nicolas Vayatis (ICTAI, 2015)

Improving Text Stream Clustering using Term Burstiness and Co-burstiness. - Argyris Kalogeratos; Panagiotis Zagorisios; Aristidis Likas (SETN, 2016)

Suppressing Epidemics in Networks Using Priority Planning. - Kevin Scaman; Argyris Kalogeratos; Nicolas Vayatis (IEEE Trans. Netw. Sci. Eng., 2016)

Multivariate Hawkes Processes for Large-Scale Inference. - Rémi Lemonnier; Kevin Scaman; Argyris Kalogeratos (AAAI, 2017)

A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. - Kevin Scaman; Argyris Kalogeratos; Luca Corinzia; Nicolas Vayatis (CoRR, 2017)

The Multi-Round Sequential Selection Problem. - Mathilde Fekom; Argyris Kalogeratos; Nicolas Vayatis (CoRR, 2018)

Sequential Dynamic Resource Allocation for Epidemic Control. - Mathilde Fekom; Nicolas Vayatis; Argyris Kalogeratos (CDC, 2019)

Learning Laplacian Matrix from Bandlimited Graph Signals. - Batiste Le Bars; Pierre Humbert; Laurent Oudre; Argyris Kalogeratos (ICASSP, 2019)

Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. - Mathilde Fekom; Nicolas Vayatis; Argyris Kalogeratos (ICTAI, 2019)

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. - Batiste Le Bars; Argyris Kalogeratos (INFOCOM, 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)

Detecting multiple change-points in the time-varying Ising model. - Batiste Le Bars; Pierre Humbert; Argyris Kalogeratos; Nicolas Vayatis (CoRR, 2019)

Learning the piece-wise constant graph structure of a varying Ising model. - Batiste Le Bars; Pierre Humbert; Argyris Kalogeratos; Nicolas Vayatis (ICML, 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 (SETN, 2020)

Dynamic Epidemic Control via Sequential Resource Allocation. - Mathilde Fekom; Nicolas Vayatis; Argyris Kalogeratos (CoRR, 2020)

Model family selection for classification using Neural Decision Trees. - Anthea Mérida Montes de Oca; Argyris Kalogeratos; Mathilde Mougeot (CoRR, 2020)

Winning the competition: enhancing counter-contagion in SIS-like epidemic processes. - Argyris Kalogeratos; Stefano Sarao Mannelli (CoRR, 2020)

Efficient stream-based Max-Min diversification with minimal failure rate. - Mathilde Fekom; Argyris Kalogeratos (CoRR, 2020)

Offline detection of change-points in the mean for stationary graph signals. - Alejandro de la Concha; Nicolas Vayatis; Argyris Kalogeratos (AISTATS, 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)

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)

To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. - Anthea Mérida; Argyris Kalogeratos; Mathilde Mougeot (ICANN (1), 2022)

Generalized Spectral Clustering for Directed and Undirected Graphs. - Harry Sevi; Matthieu Jonckheere; Argyris Kalogeratos (CoRR, 2022)

Collaborative likelihood-ratio estimation over graphs. - Alejandro de la Concha; Argyris Kalogeratos; Nicolas Vayatis (CoRR, 2022)

Clustering for directed graphs using parametrized random walk diffusion kernels. - Harry Sevi; Matthieu Jonckheere; Argyris Kalogeratos (CoRR, 2022)

A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. - Ioannis Bargiotas; Argyris Kalogeratos; Nicolas Vayatis (ICTAI, 2023)

Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation. - Alejandro de la Concha; Argyris Kalogeratos; Nicolas Vayatis (CoRR, 2023)

UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. - Georgios Vardakas; Argyris Kalogeratos; Aristidis Likas (CoRR, 2023)

Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. - Alejandro D. de la Concha Duarte; Nicolas Vayatis; Argyris Kalogeratos (AISTATS, 2024)

LIPO+: Frugal Global Optimization for Lipschitz Functions. - Gaëtan Serré; Perceval Beja-Battais; Sophia Chirrane; Argyris Kalogeratos; Nicolas Vayatis (SETN, 2024)

Leveraging Graph Neural Networks to Forecast Electricity Consumption. - Eloi Campagne; Yvenn Amara-Ouali; Yannig Goude; Argyris Kalogeratos (CoRR, 2024)

DeGroot-Based Opinion Formation Under a Global Steering Mechanism. - Ivan Conjeaud; Philipp Lorenz-Spreen; Argyris Kalogeratos (IEEE Trans. Comput. Soc. Syst., 2024)

Collaborative non-parametric two-sample testing. - Alejandro D. de la Concha Duarte; Nicolas Vayatis; Argyris Kalogeratos (AISTATS, 2025)

Stein Boltzmann Sampling: A Variational Approach for Global Optimization. - Gaëtan Serré; Argyris Kalogeratos; Nicolas Vayatis (AISTATS, 2025)

Uncovering Social Network Activity Using Joint User and Topic Interaction. - Gaspard Abel; Argyris Kalogeratos; Jean-Pierre Nadal; Julien Randon-Furling (CoRR, 2025)

Plugging Attention into Power Grids: Towards Transparent Forecasting. - Eloi Campagne; Itai Zehavi; Yvenn Amara-Ouali; Yannig Goude; Argyris Kalogeratos (CoRR, 2025)