DeGroot-Based Opinion Formation Under a Global Steering Mechanism von Conjeaud, Ivan, Lorenz-Spreen, Philipp, Kalogeratos, Argyris

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Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning von Bargiotas, Ioannis, Kalogeratos, Argyris, Limnios, Myrto, Vidal, Pierre-Paul, Ricard, Damien, Vayatis, Nicolas

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Suppressing Epidemics in Networks Using Priority Planning von Scaman, Kevin, Kalogeratos, Argyris, Vayatis, Nicolas

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To tree or not to tree? Assessing the impact of smoothing the decision boundaries von Mérida, Anthea, Argyris Kalogeratos, Mougeot, Mathilde

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Document clustering using synthetic cluster prototypes von Kalogeratos, Argyris, Likas, Aristidis

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Text document clustering using global term context vectors von Kalogeratos, Argyris, Likas, Aristidis

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Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation von Humbert, Pierre, Le Bars, Batiste, Oudre, Laurent, Kalogeratos, Argyris, Vayatis, Nicolas

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To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries von Mérida, Anthea, Kalogeratos, Argyris, Mougeot, Mathilde

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A Significance-Based Graph Model for Clustering Web Documents von Kalogeratos, Argyris, Likas, Aristidis

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Stein Boltzmann Sampling: A Variational Approach for Global Optimization von Serré, Gaëtan, Kalogeratos, Argyris, Vayatis, Nicolas

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Efficient stream-based Max-Min diversification with minimal failure rate von Fekom, Mathilde, Kalogeratos, Argyris

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UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters von Vardakas, Georgios, Kalogeratos, Argyris, Likas, Aristidis

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A framework for paired-sample hypothesis testing for high-dimensional data von Bargiotas, Ioannis, Kalogeratos, Argyris, Vayatis, Nicolas

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Leveraging Graph Neural Networks to Forecast Electricity Consumption von Campagne, Eloi, Amara-Ouali, Yvenn, Goude, Yannig, Kalogeratos, Argyris

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DeGroot-based opinion formation under a global steering mechanism von Conjeaud, Ivan, Lorenz-Spreen, Philipp, Kalogeratos, Argyris

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Clustering for directed graphs using parametrized random walk diffusion kernels von Sevi, Harry, Jonckheere, Matthieu, Kalogeratos, Argyris

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Collaborative non-parametric two-sample testing von de la Concha, Alejandro, Vayatis, Nicolas, Kalogeratos, Argyris

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Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization von de la Concha, Alejandro, Vayatis, Nicolas, Kalogeratos, Argyris

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Generalized Spectral Clustering for Directed and Undirected Graphs von Sevi, Harry, Jonckheere, Matthieu, Kalogeratos, Argyris

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Winning the competition: enhancing counter-contagion in SIS-like epidemic processes von Kalogeratos, Argyris, Mannelli, Stefano Sarao

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