Learning Laplacian Matrix in Smooth Graph Signal Representations

by Xiaowen Dong, Thanou, Dorina, Frossard, Pascal, Vandergheynst, Pierre
Published in IEEE transactions on signal processing

Graph-Based Compression of Dynamic 3D Point Cloud Sequences

by Thanou, Dorina, Chou, Philip A., Frossard, Pascal
Published in IEEE transactions on image processing

Learning Parametric Dictionaries for Signals on Graphs

by Thanou, Dorina, Shuman, David I., Frossard, Pascal
Published in IEEE transactions on signal processing

Learning of robust spectral graph dictionaries for distributed processing

by Thanou, Dorina, Frossard, Pascal
Published in EURASIP journal on advances in signal processing

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

by Sherratt, Katharine, Gruson, Hugo, Grah, Rok, Johnson, Helen, Niehus, Rene, Prasse, Bastian, Deuschel, Jannik, Wolffram, Daniel, Abbott, Sam, Gibson, Graham, Ray, Evan L, Reich, Nicholas G, Sheldon, Daniel, Wang, Yijin, Wattanachit, Nutcha, Trnka, Jan, Obozinski, Guillaume, Sun, Tao, Thanou, Dorina, Pottier, Loic, Krymova, Ekaterina, Meinke, Jan H, Barbarossa, Maria Vittoria, Leithauser, Neele, Mohring, Jan, Wlazlo, Jaroslaw, Fuhrmann, Jan, Lange, Berit, Rodiah, Isti, Baccam, Prasith, Gurung, Heidi, Stage, Steven, Suchoski, Bradley, Budzinski, Jozef, Walraven, Robert, Villanueva, Inmaculada, Tucek, Vit, Smid, Martin, Zajicek, Milan, Perez Alvarez, Cesar, Reina, Borja, Bosse, Nikos I, Castro, Lauren, Fairchild, Geoffrey, Michaud, Isaac, Alaimo Di Loro, Pierfrancesco, Maruotti, Antonello, Eclerova, Veronika, Kraus, Andrea, Pribylova, Lenka, Dimitris, Bertsimas, Saksham, Soni, Mohr, Sebastian, Priesemann, Viola, Redlarski, Grzegorz, Parolini, Nicola, Ziarelli, Giovanni, Heyder, Stefan, Hotz, Thomas, Guzman-Merino, Miguel, Aznarte, Jose L, Morina, David, Alonso, Sergio, Alvarez, Enric, Lopez, Daniel, Prats, Clara, Burgard, Jan Pablo, Rodloff, Arne, Zimmermann, Tom, Kuhlmann, Alexander, Zibert, Janez, Pennoni, Fulvia, Giudici, Paolo, Tarantino, Barbara, Bartolucci, Francesco, Farcomeni, Alessio, Montero-Manso, Pablo, Hurt, Benjamin, Lewis, Bryan, Marathe, Madhav, Venkatramanan, Srinivasan, Bartczuk, Rafal P, Dreger, Filip, Gambin, Anna, Gruziel-Slomka, Magdalena, Moszyński, Antoni, Nowosielski, Jedrzej, Semeniuk, Marcin, Zielinski, Jakub, Pabjan, Barbara, Holger, Kirsten, Kheifetz, Yuri, Scholz, Markus, Przemyslaw, Biecek, Filinski, Maciej, Idzikowski, Radoslaw, Krueger, Tyll, Ozanski, Tomasz, Bracher, Johannes, Funk, Sebastian
Published in eLife

Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder

by Itani, Sarah, Thanou, Dorina
Published in Medical image analysis

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

by Mahendiran, Thabo, Thanou, Dorina, Senouf, Ortal, Meier, David, Dayer, Nicolas, Aminfar, Fahrang, Auberson, Denise, Raita, Omar, Frossard, Pascal, Pagnoni, Mattia, Cook, Stéphane, De Bruyne, Bernard, Muller, Olivier, Abbé, Emmanuel, Fournier, Stephane
Published in Open heart

Graph Transform Optimization With Application to Image Compression

by Fracastoro, Giulia, Thanou, Dorina, Frossard, Pascal
Published in IEEE transactions on image processing

Learning Heat Diffusion Graphs

by Thanou, Dorina, Xiaowen Dong, Kressner, Daniel, Frossard, Pascal
Published in IEEE transactions on signal and information processing over networks

On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring

by Kenlay, Henry, Thano, Dorina, Dong, Xiaowen

On The Stability of Polynomial Spectral Graph Filters

by Kenlay, Henry, Thanou, Dorina, Dong, Xiaowen

Graph signal separation based on smoothness or sparsity in the frequency domain

by Mohammadi, Sara, Babaie-Zadeh, Massoud, Thanou, Dorina
Published in IEEE transactions on signal and information processing over networks

Graph learning under sparsity priors

by Maretic, Hermina Petric, Thanou, Dorina, Frossard, Pascal

Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide

by Krymova, Ekaterina, Béjar, Benjamín, Thanou, Dorina, Sun, Tao, Manetti, Elisa, Lee, Gavin, Namigai, Kristen, Choirat, Christine, Flahault, Antoine, Obozinski, Guillaume
Published in Proceedings of the National Academy of Sciences - PNAS

Learning time varying graphs

by Kalofolias, Vassilis, Loukas, Andreas, Thanou, Dorina, Frossard, Pascal

Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide

by Krymova, Ekaterina, Béjar, Benjamín, Thanou, Dorina, Sun, Tao, Manetti, Elisa, Lee, Gavin, Namigai, Kristen, Choirat, Christine, Flahault, Antoine, Obozinski, Guillaume
Published in Proceedings of the National Academy of Sciences - PNAS

Height and Weight Estimation from Unconstrained Images

by Altinigne, Can Yilmaz, Thanou, Dorina, Achanta, Radhakrishna

node2coords: Graph Representation Learning with Wasserstein Barycenters

by Simou, Effrosyni, Thanou, Dorina, Frossard, Pascal
Published in IEEE transactions on signal and information processing over networks

Distributed Average Consensus With Quantization Refinement

by Thanou, Dorina, Kokiopoulou, Effrosyni, Pu, Ye, Frossard, Pascal
Published in IEEE transactions on signal processing

Multi-graph learning of spectral graph dictionaries

by Thanou, Dorina, Frossard, Pascal