Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Balázs Kégl"'
Autor:
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler Bonfanti, Balázs Kégl, Claire Monteleoni
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computationally demanding, and current statistical foreca
Externí odkaz:
https://doaj.org/article/3526e1eeac374a76baa21692ceca63ed
Autor:
Viktória Lázár, Gajinder Pal Singh, Réka Spohn, István Nagy, Balázs Horváth, Mónika Hrtyan, Róbert Busa‐Fekete, Balázs Bogos, Orsolya Méhi, Bálint Csörgő, György Pósfai, Gergely Fekete, Balázs Szappanos, Balázs Kégl, Balázs Papp, Csaba Pál
Publikováno v:
Molecular Systems Biology, Vol 9, Iss 1, Pp n/a-n/a (2013)
The evolution of resistance to a single antibiotic is frequently accompanied by increased resistance to multiple other antimicrobial agents. In sharp contrast, very little is known about the frequency and mechanisms underlying collateral sensitivity.
Externí odkaz:
https://doaj.org/article/64e0182223244a08af0bfba73cb10665
Autor:
Monique Elmaleh, Freddy Cliquet, Nicolas Guigui, David Germanaud, Ayoub Ghriss, Balázs Kégl, Anita Beggiato, Roberto Toro, Richard Delorme, Amicie de Pierrefeu, Valentina Zantedeschi, Joris Van den Bossche, Nicolas Traut, Laurent Bonasse-Gahot, Alexandre Boucaud, Alban Bethegies, Guillaume Lemaitre, Thomas Bourgeron, Katja Heuer, Meng Wang, Gael Varauquaux, Weidong Cai, Stanislas Chambon
Publikováno v:
NeuroImage
NeuroImage, Elsevier, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, Elsevier, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f2cfae0d811c5bca38d72bf01cd1a0
https://hdl.handle.net/21.11116/0000-000A-51C0-121.11116/0000-000A-51BE-5
https://hdl.handle.net/21.11116/0000-000A-51C0-121.11116/0000-000A-51BE-5
Autor:
Ali Tfayli, Alexandre Gramfort, Eric Caudron, Laetitia Minh Mai Lê, Pierre Chaminade, Mehdi Cherti, Arlette Baillet-Guffroy, David H. Nguyen, Camille Marini, Sana Tfaili, Balázs Kégl, Patrice Prognon
Publikováno v:
Talanta
Talanta, 2018, 184, pp.260-265. ⟨10.1016/j.talanta.2018.02.109⟩
Talanta, Elsevier, 2018, 184, pp.260-265
Talanta, 2018, 184, pp.260-265. ⟨10.1016/j.talanta.2018.02.109⟩
Talanta, Elsevier, 2018, 184, pp.260-265
International audience; The use of monoclonal antibodies (mAbs) constitutes one of the most important strategies to treat patients suffering from cancers such as hematological malignancies and solid tumors. These antibodies are prescribed by the phys
Publikováno v:
Machine Learning
Machine Learning, Springer Verlag, 2018, ⟨10.1007/s10994-018-5724-2⟩
Machine Learning, Springer Verlag, 2018, 〈10.1007/s10994-018-5724-2〉
Machine Learning, 2018, ⟨10.1007/s10994-018-5724-2⟩
Machine Learning, Springer Verlag, 2018, ⟨10.1007/s10994-018-5724-2⟩
Machine Learning, Springer Verlag, 2018, 〈10.1007/s10994-018-5724-2〉
Machine Learning, 2018, ⟨10.1007/s10994-018-5724-2⟩
International audience; For statistical learning, categorical variables in a table are usually considered as discrete entities and encoded separately to feature vectors, e.g., with one-hot encoding. "Dirty" non-curated data gives rise to categorical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::137e57fb94be921935c6e10bbbdedeab
https://hal.inria.fr/hal-01806175/document
https://hal.inria.fr/hal-01806175/document
Autor:
Nils Braun, Yetkin Yilmaz, Paolo Calafiura, Isabelle Guyon, David Rousseau, J. Gemmler, Steven Farrell, Mikhail Hushchyn, Vincenzo Innocente, Heather Gray, Sabrina Amrouche, Andreas Salzburger, Balázs Kégl, C. Wessel, Jean-Roch Vlimant, Sara Neuhaus, Andrei Ustyuzhanin, Cécile Germain, Vladimir Gligorov, Tobias Golling
Publikováno v:
The European physical journal / Web of Conferences, 150, Art. Nr. 00015
EPJ Web of Conferences
EPJ Web Conf.
Connecting The Dots / Intelligent Tracker
Connecting The Dots / Intelligent Tracker, Mar 2017, Orsay, France. pp.00015, ⟨10.1051/epjconf/201715000015⟩
EPJ Web of Conferences, Vol 150, p 00015 (2017)
EPJ Web of Conferences
EPJ Web Conf.
Connecting The Dots / Intelligent Tracker
Connecting The Dots / Intelligent Tracker, Mar 2017, Orsay, France. pp.00015, ⟨10.1051/epjconf/201715000015⟩
EPJ Web of Conferences, Vol 150, p 00015 (2017)
International audience; Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4faae6a6de637733ccbaa42ff842753c
Autor:
M. Zavrtanik, N. Nierstenhoefer, R. Dallier, F. Salamida, J. F. Valdés Galicia, K. H. Becker, I. De Mitri, A. Gascon Bravo, A. Saftoiu, D. Garcia-Gamez, S. T. Garcia Roca, B. Gookin, D. Melo, David Walz, D. Pakk Selmi-Dei, R. Sato, M. Niechciol, D. B. Tridapalli, A. Segreto, A.M. van den Berg, Darko Veberič, I. Rodriguez Cabo, B. Sarkar, J. L. Navarro, M. Videla, J. C. Diaz, M. A. Leigui de Oliveira, R. Tcaciuc, F. Montanet, J. C. dos Anjos, Petr Schovanek, D. Maurizio, J. C. Moreno, C. Aramo, Lorenzo Caccianiga, Y. Guardincerri, G. Müller, J.M. Chirinos, B. Rouillé-D'Orfeuil, Bruno Daniel, Pham Ngoc Diep, D. Garcia-Pinto, Radomir Smida, T. Yapici, J. J. Masías Meza, R. Gaior, S. H. Cheng, Heino Falcke, B. Tome, L. Buroker, J. Knapp, R. Bonino, J. Vicha, G. Wieczorek, A. Lopez Agüera, F. Diogo, F. Suarez, Sergio Dasso, T. Niggemann, R. M. de Almeida, P. Allison, A. Tapia, G. Cocciolo, H. Gemmeke, C. Rühle, V. de Souza, M. Unger, H. Wahlberg, L. Nellen, B. Zamorano Garcia, M. Buscemi, N. Scharf, V. Pirronello, F. Guarino, John Matthews, Peter Buchholz, M. S. A. B. Leão, C. Macolino, C. Hojvat, C. Morello, K. D. de Vries, D. Nosek, T. Yamamoto, R. M. Kieckhafer, C. Jarne, M. Tueros, J. Rautenberg, B. Revenu, Jan Ebr, M. Melissas, O. Wainberg, I.M. Brancus, D. Huber, S. Westerhoff, H. Glass, Marco Aglietta, W. C. Brown, A. Nelles, Jaime Alvarez-Muñiz, D. Schuster, M. A. Muller, Lu Lu, G. Marsella, D. Martraire, S. Gambetta, Peter L. Biermann, D. Harari, Alessandro Petrolini, B. Mitrica, M. Ludwig, J. Rosado, A. van Vliet, A. Tonachini, L. Nožka, A. Weindl, N. Hollon, V. Verzi, P. Brogueira, M. Urban, A. C. Rovero, C. Bleve, B. Keilhauer, V. H. Ponce, S. J. Sciutto, J. Schovancova, Paolo Privitera, L. Perrone, Jiri Chudoba, D. Torres Machado, H.O. Klages, G. Torralba Elipe, D. Kruppke-Hansen, B. Wundheiler, R. Krause, Gregory R Snow, Alina Mihaela Badescu, M. Oliveira, M. Ave, E. Trovato, J. Lozano Bahilo, Segev BenZvi, Corbin Covault, Maria-Teresa Dova, M. Gómez Berisso, R. C. Shellard, Azadeh Keivani, A. P. Ferguson, R. Alves Batista, C. Baus, A. Aminaei, Y. Petrov, J. Gitto, P. Hansen, A. Chiavassa, A. E. Herve, Lino Miramonti, Vincenzo Rizi, M. D. Rodríguez-Frías, Paul Sommers, R. Cester, B. J. Whelan, P. Gouffon, W. Rodrigues de Carvalho, M. Risse, D. Martello, M. Ziolkowski, O. Martínez Bravo, P. N. Dong, M. J. Cooper, F. Sánchez, M. Ambrosio, M. De Domenico, Jing Zhou, G. Toma, S. Mićanović, B. M. Baughman, L. R. Wiencke, T. A. Harrison, A. Porcelli, M. Tartare, J. W. Cronin, B. D. Fox, N. T. Thao, G. Parente, A. Gorgi, V. Marin, J. Espadanal, M. Palatka, P. W. Younk, A. Śmiałkowski, P. Pieroni, Peter Schiffer, V. Scherini, Nataliia Borodai, H. R. Marquez Falcon, Alejandro Almela, S. van Velzen, E. Menichetti, G. Matthiae, G. Varner, H. Spinka, Antonio Bueno, Sergio Pastor, I. M. Pepe, J. Oehlschläger, A. F. Barbosa, Maria Rita Coluccia, Miguel Mostafá, Dusan Mandat, Gualberto Avila, Ingomar Allekotte, Angela V. Olinto, M. Monasor, F. Arqueros, P. Necesal, P. Gonçalves, N. Palmieri, Markus Ahlers, J. K. Kulbartz, H. Rivera, E. Varela, N. Griffith, J. A.J. Matthews, Xavier Bertou, R. E. Burton, S. Jiraskova, T. Rossler, J. D. Swain, A. Menshikov, J. C. Marin, H. Schieler, A. Zepeda, R. Ulrich, Karl-Heinz Kampert, Antonella Castellina, E. M. Santos, Pedro Assis, A. Etchegoyen, K. Kadija, Carola Dobrigkeit, A. Insolia, M. Kleifges, D. Zavrtanik, I. Katkov, Javier Tiffenberg, J. Allen, E. Mayotte, R. Mussa, J. J. Beatty, P. Wahrlich, K. Louedec, J. Pȩkala, Mariangela Settimo, Iván Sidelnik, Alexey Yushkov, H. Dembinski, N. Fazzini, K. Weidenhaupt, J. Kleinfeller, Jose Chinellato, Alan Watson, M. I. Micheletti, T. Huege, A. Parra, S. J. De Jong, I. Zaw, O. Fratu, H. Cook, Jeffrey Brack, Olaf Scholten, P. Lautridou, M. Avenier, D. Thomas, Bruce R. Dawson, Y. N. Srivastava, Humberto Ibarguen Salazar, T. Hebbeker, Julien Aublin, A. Widom, D. LaHurd, F. Werner, P.O. Mazur, J. Alvarez Castillo, F. Sarazin, Elton J. G. Santos, K. Link, M. Prouza, Piotr Homola, P. Facal San Luis, Rúben Conceição, P. Abreu, M. Josebachuili, D. Ravignani, Miroslav Hrabovský, Daniel Kuempel, Carlos Escobar, R. F. Gamarra, A. Haungs, J. Neuser, J. R. T. de Mello Neto, E. J. Ahn, A. Letessier-Selvon, L. Molina-Bueno, E. Kemp, S. Le Coz, Luis A. Anchordoqui, J. L. Harton, D. Monnier Ragaigne, Lorenzo Cazon, S. Maldera, C. Pfendner, I. A. Minaya, A. Bellétoile, A. Schmidt, H. Martinez, O. Krömer, P. Mantsch, Z. Szadkowski, Ivone F. M. Albuquerque, Ke Fang, N. Pacheco, Lukas Middendorf, M. Platino, G. Navarra, J. Bäuml, C. E. Santo, Francisco J. Blanco, Johannes Schulz, G. Golup, N. Kunka, F. Gomez Albarracin, M. Pimenta, C. A. Moura, Brian Fick, H. Blümer, Balázs Kégl, Moritz Münchmeyer, G. Rodriguez Fernandez, A. D. Supanitsky, Hernán Asorey, Christopher B. Williams, G. C. Hill, M. Zimbres Silva, T. Šuša, I. C. Mariş, Ralph Engel, M. Plum, E. Petermann, D. Nitz, J. Stapleton, Miroslav Pech, J. Ridky, M. L. Díaz Castro, G. Farrar, S. Fliescher, A. Stutz, Pavel Horvath, Kai Daumiller, M. S. Sutherland, Rémi Bardenet, Petr Travnicek, P. Lebrun, L. Tomankova, Trent D. Grubb, Sofia Andringa, R. Meyhandan, M. Ortiz, R. J. Lauer, Juan Manuel Figueira, Roberta Colalillo, P. Ristori, A. G. Mariazzi, S. Jansen, B. García, Mario Scuderi, S. Messina, G. Salina, A. Curutiu, Tobias Winchen, R. López, Karen S. Caballero-Mora, Olivier Deligny, B. Caccianiga, S. Stanič, H. Schoorlemmer, P.F. Gómez Vitale, Martina Bohacova, Martin Erdmann, A. Dorofeev, Guenter Sigl, J. Sorokin, M. Blanco, C. E. Fracchiolla, Roger W Clay, D. D'Urso, L. Latronico, Corinne Berat, M. Giller, S. Navas, G. P. Guedes, K. B. Barber, M. Weber, U. Fröhlich, R. A. Vázquez, L. Valore, P. Karhan, P. A. Kasper, A. Filipčič, M. Straub, D. Maurel, Markus Roth, A. Shadkam, C. Timmermans, S. Petrera, J. R. Vázquez, A. F. Grillo, Juan Carlos D'Olivo, T. Pierog, J. Maller, Rossella Caruso, W. J. M. de Mello, A. Lucero, G. La Rosa, P. L. Ghia, Octavian Sima, J. G. Gonzalez, V. C. Holmes, D. Lebrun, R. Pesce, Jörg R. Hörandel, F. Salesa Greus, G. Cataldi, G. Garilli, D. Heck, L. Villaseñor, L. Martin, I. Lhenry-Yvon, S. Mollerach, E. Roulet, Marco Cilmo, B. Wilczyńska, W. Docters, Peter Gorham, R. Pelayo, L. Collica, S. Querchfeld, J. L. Kelley, E. D. Fraenkel, S. J. Saffi, L. Niemietz, L. del Peral, J. Roberts, O. Ravel, R. Piegaia, J. Rodriguez Martino, H. J. Mathes, G. De La Vega, O. Taşcǎu, J. Rodriguez Rojo, M. Szuba, F.G. Schröder, Enrique Zas, C. Di Giulio, Fernando Contreras, L. Caramete, M. Will, W. Tkaczyk, G. Yuan, S. Riggi, T. Antičić, J. Stasielak, S. Coutu, M. Lauscher, M. Pontz, A. C. Fauth, M. Stephan, H. Lyberis, Carla Bonifazi, Jose A. Bellido, B. Morales, Denise Boncioli, German Ros, B. Vargas Cárdenas, Maria Concetta Maccarone, T. Suomijärvi, J. Pallotta, E. J. Quel, Béatrice Fuchs, Niraj Dhital, I. Valiño, A. Filevich, P. T. Nhung, S. Grebe, R. Squartini, T. Paul, G. Medina-Tanco, G. van Aar, A. Criss, C. J. Todero Peixoto, M. Malacari, Yunrong Zhu, N. Krohm, Christian Glaser, H. Wilczyński, P. Billoir
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
instname
Pastor Carpi, Sergio Arqueros Martinez, Fernando Minaya Flores, Ignacio Andrés Rosado Velez, Jaime 2013 Identifying clouds over the Pierre Auger Observatory using infrared satellite data Astroparticle Physics 50-52 92 101
RODERIC. Repositorio Institucional de la Universitat de Valéncia
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Astroparticle Physics
Astroparticle Physics, 2013, 50-52, pp.92-101. ⟨10.1016/j.astropartphys.2013.09.004⟩
Astroparticle Physics, Elsevier, 2013, 50-52, pp.92-101. ⟨10.1016/j.astropartphys.2013.09.004⟩
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Astroparticle Physics, 50–52, 0, pp. 92-101
Astroparticle Physics, 50–52, 92-101
Digital.CSIC. Repositorio Institucional del CSIC
Astroparticle Physics, 50-52, 92-101. Elsevier
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
instname
Pastor Carpi, Sergio Arqueros Martinez, Fernando Minaya Flores, Ignacio Andrés Rosado Velez, Jaime 2013 Identifying clouds over the Pierre Auger Observatory using infrared satellite data Astroparticle Physics 50-52 92 101
RODERIC. Repositorio Institucional de la Universitat de Valéncia
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Astroparticle Physics
Astroparticle Physics, 2013, 50-52, pp.92-101. ⟨10.1016/j.astropartphys.2013.09.004⟩
Astroparticle Physics, Elsevier, 2013, 50-52, pp.92-101. ⟨10.1016/j.astropartphys.2013.09.004⟩
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Astroparticle Physics, 50–52, 0, pp. 92-101
Astroparticle Physics, 50–52, 92-101
Digital.CSIC. Repositorio Institucional del CSIC
Astroparticle Physics, 50-52, 92-101. Elsevier
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
We describe a new method of identifying night-time clouds over the Pierre Auger Observatory using infrared data from the Imager instruments on the GOES-12 and GOES-13 satellites. We compare cloud. identifications resulting from our method to those ob
Publikováno v:
Machine Learning
Machine Learning, Springer Verlag, 2013, 93 (2-3), pp.261-292. ⟨10.1007/s10994-013-5360-9⟩
Machine Learning, 2013, 93 (2-3), pp.261-292. ⟨10.1007/s10994-013-5360-9⟩
Machine Learning, Springer Verlag, 2013, 93 (2-3), pp.261-292. ⟨10.1007/s10994-013-5360-9⟩
Machine Learning, 2013, 93 (2-3), pp.261-292. ⟨10.1007/s10994-013-5360-9⟩
ANR-2010-COSI-002; In subset ranking, the goal is to learn a ranking function that approximates a gold standard partial ordering of a set of objects (in our case, a set of documents retrieved for the same query). The partial ordering is given by rele
Publikováno v:
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery, 2007
Data Mining and Knowledge Discovery, Springer, 2007
Data Mining and Knowledge Discovery, 2007
Data Mining and Knowledge Discovery, Springer, 2007
We describe two algorithms, BiBoost (Bipartite Boosting) and MultBoost (Multiparty Boosting), that allow two or more participants to construct a boosting classifier without explicitly sharing their data sets. We analyze both the computational and the
Autor:
David Rousseau, Balázs Kégl, Cécile Germain-Renaud, Claire Adam-Bourdarios, Isabelle Guyon, G. A. Cowan
Publikováno v:
Higgs Machine Learning Challenge visits CERN
Higgs Machine Learning Challenge visits CERN, May 2015, Geneve, Switzerland
Journal of Physics: Conference Series
Journal of Physics: Conference Series, IOP Publishing, 2015, 664 (7), ⟨10.1088/1742-6596/664/7/072015⟩
21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015)
21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. pp.072015, ⟨10.1088/1742-6596/664/7/072015⟩
Higgs Machine Learning Challenge visits CERN, May 2015, Geneve, Switzerland
Journal of Physics: Conference Series
Journal of Physics: Conference Series, IOP Publishing, 2015, 664 (7), ⟨10.1088/1742-6596/664/7/072015⟩
21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015)
21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. pp.072015, ⟨10.1088/1742-6596/664/7/072015⟩
International audience; The Higgs Machine Learning Challenge was an open data analysis competition that took place between May and September 2014. Samples of simulated data from the ATLAS Experiment at the LHC corresponding to signal events with Higg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80728d8de436a36faa6aced41e6e7ac6
http://hal.in2p3.fr/in2p3-01154176
http://hal.in2p3.fr/in2p3-01154176