Argyris Kalogeratos

60 papers A* 3A 4B 3Misc 1Journal 39Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cascaded Transfer: Learning Many Tasks under Budget Constraints. CoRR Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Mathilde Mougeot, Argyris Kalogeratos
2026	J	`jnl`	Dual-Criterion Curriculum Learning: Application to Temporal Data. CoRR Gaspard Abel, Eloi Campagne, Mohamed Benloughmari, Argyris Kalogeratos
2026	J	`jnl`	Enhancing LIME using Neural Decision Trees. CoRR Mohamed Aymen Bouyahia, Argyris Kalogeratos
2026	J	`jnl`	Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints. CoRR Gabriel Singer, Samuel Gruffaz, Olivier Vo Van, Nicolas Vayatis, Argyris Kalogeratos
2026	J	`jnl`	UniForCE: The Unimodality Forest method for Clustering and Estimation of the number of clusters. Pattern Recognit. Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas
2025	J	`jnl`	Collaborative likelihood-ratio estimation over graphs. J. Mach. Learn. Res. Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2025	A	`conf`	Collaborative non-parametric two-sample testing. AISTATS Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
2025	J	`jnl`	Multi-view diffusion geometry using intertwined diffusion trajectories. CoRR Gwendal Debaussart-Joniec, Argyris Kalogeratos
2025	—	`conf`	Online Non-parametric Change-point Detection via Graph-based Likelihood-Ratio Estimation. EUSIPCO Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2025	J	`jnl`	Plugging Attention into Power Grids: Towards Transparent Forecasting. CoRR Eloi Campagne, Itai Zehavi, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos
2025	A	`conf`	Stein Boltzmann Sampling: A Variational Approach for Global Optimization. AISTATS Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis
2025	J	`jnl`	Uncovering Social Network Activity Using Joint User and Topic Interaction. CoRR Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal, Julien Randon-Furling
2024	J	`jnl`	Collaborative non-parametric two-sample testing. CoRR Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2024	J	`jnl`	DeGroot-Based Opinion Formation Under a Global Steering Mechanism. IEEE Trans. Comput. Soc. Syst. Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos
2024	—	`conf`	LIPO+: Frugal Global Optimization for Lipschitz Functions. SETN Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis
2024	J	`jnl`	Leveraging Graph Neural Networks to Forecast Electricity Consumption. CoRR Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos
2024	A	`conf`	Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. AISTATS Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
2023	B	`conf`	A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. ICTAI Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis
2023	J	`jnl`	A framework for paired-sample hypothesis testing for high-dimensional data. CoRR Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis
2023	J	`jnl`	Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation. CoRR Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
2023	J	`jnl`	Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. CoRR Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2023	J	`jnl`	UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. CoRR Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas
2022	J	`jnl`	Clustering for directed graphs using parametrized random walk diffusion kernels. CoRR Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
2022	J	`jnl`	Collaborative likelihood-ratio estimation over graphs. CoRR Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
2022	J	`jnl`	DeGroot-based opinion formation under a global steering mechanism. CoRR Ivan Conjeaud, Philipp Lorenz-Spreen, Argyris Kalogeratos
2022	J	`jnl`	Generalized Spectral Clustering for Directed and Undirected Graphs. CoRR Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
2022	—	`conf`	To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
2022	J	`jnl`	To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
2021	J	`jnl`	Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. J. Mach. Learn. Res. Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis
2021	A	`conf`	Offline detection of change-points in the mean for stationary graph signals. AISTATS Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2021	J	`jnl`	Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes. CoRR Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
2020	J	`jnl`	Dynamic Epidemic Control via Sequential Resource Allocation. CoRR Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
2020	J	`jnl`	Efficient stream-based Max-Min diversification with minimal failure rate. CoRR Mathilde Fekom, Argyris Kalogeratos
2020	A*	`conf`	Learning the piece-wise constant graph structure of a varying Ising model. ICML Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2020	J	`jnl`	Model family selection for classification using Neural Decision Trees. CoRR Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot
2020	—	`conf`	Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications. SETN Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis
2020	J	`jnl`	Offline detection of change-points in the mean for stationary graph signals. CoRR Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos
2020	J	`jnl`	Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. CoRR Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
2020	J	`jnl`	Winning the competition: enhancing counter-contagion in SIS-like epidemic processes. CoRR Argyris Kalogeratos, Stefano Sarao Mannelli
2019	A*	`conf`	A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. INFOCOM Batiste Le Bars, Argyris Kalogeratos
2019	J	`jnl`	A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. CoRR Batiste Le Bars, Argyris Kalogeratos
2019	J	`jnl`	Detecting multiple change-points in the time-varying Ising model. CoRR Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2019	Misc	`conf`	Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos
2019	B	`conf`	Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. ICTAI Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
2019	J	`jnl`	Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. CoRR Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis
2019	—	`conf`	Sequential Dynamic Resource Allocation for Epidemic Control. CDC Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
2019	J	`jnl`	Sequential Dynamic Resource Allocation for Epidemic Control. CoRR Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
2018	J	`jnl`	The Multi-Round Sequential Selection Problem. CoRR Mathilde Fekom, Argyris Kalogeratos, Nicolas Vayatis
2017	J	`jnl`	A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. CoRR Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis
2017	A*	`conf`	Multivariate Hawkes Processes for Large-Scale Inference. AAAI Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos
2016	—	`conf`	Improving Text Stream Clustering using Term Burstiness and Co-burstiness. SETN Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas
2016	J	`jnl`	Suppressing Epidemics in Networks Using Priority Planning. IEEE Trans. Netw. Sci. Eng. Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
2015	B	`conf`	A Greedy Approach for Dynamic Control of Diffusion Processes in Networks. ICTAI Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
2014	J	`jnl`	What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks. CoRR Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
2013	—	`—`	Knowledge extraction methods from document collections Argyris Kalogeratos
2012	—	`conf`	Dip-means: an incremental clustering method for estimating the number of clusters. NIPS Argyris Kalogeratos, Aristidis Likas
2012	J	`jnl`	Text document clustering using global term context vectors. Knowl. Inf. Syst. Argyris Kalogeratos, Aristidis Likas
2011	J	`jnl`	Document clustering using synthetic cluster prototypes. Data Knowl. Eng. Argyris Kalogeratos, Aristidis Likas
2009	—	`conf`	Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas
2006	—	`conf`	A Significance-Based Graph Model for Clustering Web Documents. SETN Argyris Kalogeratos, Aristidis Likas