Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yann Dauxais"'
Autor:
Yann Dauxais, Urchade Zaratiana, Matthieu Laneuville, Simon David Hernandez, Pierre Holat, Charlie Grosman
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031013324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42a0ef2bfb03bb701afff0ee74151f1
https://doi.org/10.1007/978-3-031-01333-1_3
https://doi.org/10.1007/978-3-031-01333-1_3
Autor:
Ruth Dobson, Lars Forsberg, Luc De Raedt, Doralina Guimarães Brum, Liesbet M. Peeters, Tomas Kalincik, Tina Parciak, Jeffrey A. Cohen, Robert McBurney, Gilles Edan, Helmut Butzkueven, Nick Rijke, Ingrid van der Mei, Clare Walton, Melinda Magyari, Guilherme Sciascia do Olival, Clément Gautrais, Kerstin Hellwig, Yves Moreau, Ashkan Pirmani, Edward De Brouwer, Lotte Geys, Paulo Rodrigues, Rodden M. Middleton, Hollie Schmidt, Juan Ignacio Rojas, Anibal Chertcoff, Nikola Lazovski, Rumen Ivanov, Arnfin Bergmann, Stefan Braune, Giancarlo Comi, Jan Hillert, Jérôme De Seze, Ricardo Alonso, Daniele Raimondi, Landon McKenna, Anneke van der Walt, Wim Van Hecke, Johana Bauer, Tim Spelman, Amber Salter, Alexander Stahmann, Céline Louapre, Bruce F. Bebo, Richard Nicholas, Yann Dauxais, Steve Simpson-Yap
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Peeters, L M, Parciak, T, Walton, C, Geys, L, Moreau, Y, De Brouwer, E, Raimondi, D, Pirmani, A, Kalincik, T, Edan, G, Simpson-Yap, S, De Raedt, L, Dauxais, Y, Gautrais, C, Rodrigues, P R, McKenna, L, Lazovski, N, Hillert, J, Forsberg, L, Spelman, T, McBurney, R, Schmidt, H, Bergmann, A, Braune, S, Stahmann, A, Middleton, R, Salter, A, Bebo, B F, Rojas, J I, van der Walt, A, Butzkueven, H, van der Mei, I, Ivanov, R, Hellwig, K, Sciascia do Olival, G, Cohen, J A, Van Hecke, W, Dobson, R, Magyari, M, Brum, D G, Alonso, R, Nicholas, R, Bauer, J, Chertcoff, A, de Sèze, J, Louapre, C, Comi, G & Rijke, N 2020, ' COVID-19 in people with multiple sclerosis : A global data sharing initiative ', Multiple Sclerosis Journal, vol. 26, no. 10, pp. 1157-1162 . https://doi.org/10.1177/1352458520941485
Multiple Sclerosis (Houndmills, Basingstoke, England)
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Peeters, L M, Parciak, T, Walton, C, Geys, L, Moreau, Y, De Brouwer, E, Raimondi, D, Pirmani, A, Kalincik, T, Edan, G, Simpson-Yap, S, De Raedt, L, Dauxais, Y, Gautrais, C, Rodrigues, P R, McKenna, L, Lazovski, N, Hillert, J, Forsberg, L, Spelman, T, McBurney, R, Schmidt, H, Bergmann, A, Braune, S, Stahmann, A, Middleton, R, Salter, A, Bebo, B F, Rojas, J I, van der Walt, A, Butzkueven, H, van der Mei, I, Ivanov, R, Hellwig, K, Sciascia do Olival, G, Cohen, J A, Van Hecke, W, Dobson, R, Magyari, M, Brum, D G, Alonso, R, Nicholas, R, Bauer, J, Chertcoff, A, de Sèze, J, Louapre, C, Comi, G & Rijke, N 2020, ' COVID-19 in people with multiple sclerosis : A global data sharing initiative ', Multiple Sclerosis Journal, vol. 26, no. 10, pp. 1157-1162 . https://doi.org/10.1177/1352458520941485
Multiple Sclerosis (Houndmills, Basingstoke, England)
Made available in DSpace on 2020-12-12T02:15:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-09-01 Multiple Sclerosis International Federation Background: We need high-quality data to assess the determinants for COVID-19 severity in people
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb40ef48a203836f801f038d463d82fd
Publikováno v:
Advances in Knowledge Discovery and Management (vol 8)
B. Pinaud; F. Guillet; F. Gandon and C. Largeron. Advances in Knowledge Discovery and Management (vol 8), Springer, Cham, pp.89-118, 2019, Advances in Knowledge Discovery and Management, 978-3-030-18128-4. ⟨10.1007/978-3-030-18129-1_5⟩
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
B. Pinaud; F. Guillet; F. Gandon and C. Largeron. Advances in Knowledge Discovery and Management (vol 8), Springer, Cham, pp.89-118, 2019, Advances in Knowledge Discovery and Management, 978-3-030-18128-4. ⟨10.1007/978-3-030-18129-1_5⟩
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
International audience; Sequential pattern mining attempts to extract frequent behaviors from a sequential dataset. When sequences are labeled, it is interesting to extract behaviors that characterize each sequence class. This task is called discrimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de1dd4551f79f4090ee6acb647d81ea
https://hal.inria.fr/hal-01940146/file/AKDM_final.pdf
https://hal.inria.fr/hal-01940146/file/AKDM_final.pdf
Autor:
Yann Dauxais, Clément Gautrais
Publikováno v:
MLSA 2018-5th Workshop on Machine Learning and Data Mining for Sports Analytic of ECML/PKDD
MLSA 2018-5th Workshop on Machine Learning and Data Mining for Sports Analytic of ECML/PKDD, Sep 2018, Dublin, Ireland. pp.1-7
Machine Learning and Data Mining for Sports Analytics ISBN: 9783030172732
MLSA@PKDD/ECML
MLSA 2018-5th Workshop on Machine Learning and Data Mining for Sports Analytic of ECML/PKDD, Sep 2018, Dublin, Ireland. pp.1-7
Machine Learning and Data Mining for Sports Analytics ISBN: 9783030172732
MLSA@PKDD/ECML
International audience; This paper presents our approach to the football pass prediction challenge of the Machine Learning and Data Mining for Sport Analytics workshop at ECML/PKDD 2018. Our solution uses distance based features to predict the receiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d4f6df6123b2d0ee19da249771e3e3
https://hal.archives-ouvertes.fr/hal-01912616/file/dauxais_mlsa18.pdf
https://hal.archives-ouvertes.fr/hal-01912616/file/dauxais_mlsa18.pdf
Publikováno v:
Pharmacoepidemiology and Drug Safety. 24:1161-1169
Sequential pattern mining algorithms are widely used to explore care pathways database, but they generate a deluge of patterns, mostly redundant or useless. Clinicians need tools to express complex mining queries in order to generate less but more si
Publikováno v:
Conference on Artificial Intelligence in Medicine in Europe
Conference on Artificial Intelligence in Medicine in Europe, Jun 2017, Vienna, Austria. pp.1161-266, ⟨10.1007/978-3-319-59758-4_29⟩
Artificial Intelligence in Medicine ISBN: 9783319597577
AIME
Conference on Artificial Intelligence in Medicine in Europe, Jun 2017, Vienna, Austria. pp.1161-266, ⟨10.1007/978-3-319-59758-4_29⟩
Artificial Intelligence in Medicine ISBN: 9783319597577
AIME
International audience; Sequential pattern mining algorithms are widely used to explore care pathways database, but they generate a deluge of patterns, mostly redundant or useless. Clinicians need tools to express complex mining queries in order to g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b10971149bdcbe1c8289b669465821
https://hal.inria.fr/hal-01569023/document
https://hal.inria.fr/hal-01569023/document
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783319597577
Pharmaco-epidemiology (PE) is the study of uses and effects of drugs in well defined populations. As medico-administrative databases cover a large part of the population, they have become very interesting to carry PE studies. Such databases provide l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e90a9bd23de60ed131c37d0f0fd3e17
https://doi.org/10.1007/978-3-319-59758-4_26
https://doi.org/10.1007/978-3-319-59758-4_26
Autor:
Thomas Guyet, Yann Dauxais
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advanced Analytics and Learning on Temporal Data
AALTD 2020-5th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data
AALTD 2020-5th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, Ghent, Belgium. pp.1-16
AALTD 2020-International Workshop on Advanced Analytics and Learning on Temporal Data
AALTD 2020-International Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, Ghent, Belgium. pp.30-45, ⟨10.1007/978-3-030-65742-0_3⟩
Extended articles of the International Workshop on Advanced Analytics and Learning on Temporal Data
Extended articles of the International Workshop on Advanced Analytics and Learning on Temporal Data, 12588, Springer, pp.30-45, 2020, Lecture Notes in Computer Science, 978-3-030-65741-3. ⟨10.1007/978-3-030-65742-0_3⟩
Advanced Analytics and Learning on Temporal Data-5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
Advanced Analytics and Learning on Temporal Data ISBN: 9783030657413
AALTD@PKDD/ECML
Lecture Notes in Computer Science-Advanced Analytics and Learning on Temporal Data
AALTD 2020-5th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data
AALTD 2020-5th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, Ghent, Belgium. pp.1-16
AALTD 2020-International Workshop on Advanced Analytics and Learning on Temporal Data
AALTD 2020-International Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, Ghent, Belgium. pp.30-45, ⟨10.1007/978-3-030-65742-0_3⟩
Extended articles of the International Workshop on Advanced Analytics and Learning on Temporal Data
Extended articles of the International Workshop on Advanced Analytics and Learning on Temporal Data, 12588, Springer, pp.30-45, 2020, Lecture Notes in Computer Science, 978-3-030-65741-3. ⟨10.1007/978-3-030-65742-0_3⟩
Advanced Analytics and Learning on Temporal Data-5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
Advanced Analytics and Learning on Temporal Data ISBN: 9783030657413
AALTD@PKDD/ECML
Discriminant chronicle mining (DCM) [6] tackles temporal sequence classification by combining machine learning and chronicle mining algorithms. A chronicle is a set of events related by temporal boundaries on the delay between event occurrences. Such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::586fee69e7fd9ebe29ce7f5b65b0a1c6
Autor:
Luc De Raedt, Arcchit Jain, Yann Dauxais, Stefano Teso, Mohit Kumar, Samuel Kolb, Clément Gautrais, Gust Verbruggen, Elia Van Wolputte
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track ISBN: 9783030676698
ECML/PKDD (5)
Lecture Notes in Computer Science-Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track ISBN: 9783030676698
ECML/PKDD (5)
We introduce VisualSynth, a framework that wants to democratize data science by enabling naive end-users to specify the data science tasks that match their needs. In VisualSynth, the user and the spreadsheet application interact by highlighting parts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7582838bbee60d8497f7ee0c633ec93d