Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Arnaud Martin"'
Autor:
Arnaud Martin, Laurent Arnoult, Séverine Wiltgen, Stéphane R. Prigent, Virginie Courtier-Orgogozo
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, 2019, ⟨10.1093/nar/gkz796⟩
Nucleic Acids Research, Oxford University Press, 2019, ⟨10.1093/nar/gkz796⟩
Gephebase is a manually-curated database compiling our accumulated knowledge of the genes and mutations that underlie natural, domesticated and experimental phenotypic variation in all Eukaryotes — mostly animals, plants and yeasts. Gephebase aims
Publikováno v:
Information Sciences
Information Sciences, 2021, 544, pp.238-265
Information Sciences, Elsevier, 2021, 544, pp.238-265
Information Sciences, 2021, 544, pp.238-265
Information Sciences, Elsevier, 2021, 544, pp.238-265
International audience; In real-life machine learning applications, a common problem is that raw data (e.g. remote sensing data) is sometimes inaccessible due to confidentiality and privacy constrains of corporations, making classification methods ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5040a30b3c731475cfd181fc279b92
https://hal.science/hal-02938552/file/main.pdf
https://hal.science/hal-02938552/file/main.pdf
Autor:
Yiru Zhang, Arnaud Martin
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
Belief Functions: Theory and Applications
Belief Functions: Theory and Applications, 12915, Springer International Publishing, pp.33-43, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-88601-1_4⟩
BELIEF
Belief Functions: Theory and Applications
Belief Functions: Theory and Applications, 12915, Springer International Publishing, pp.33-43, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-88601-1_4⟩
International audience; Evidential preference based on belief function theory has been proposed recently, simultaneously characterizing preference information with uncertainty and imprecision. However, traditional distances on belief functions do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13776aaa923df52819005ccdba4fb619
https://doi.org/10.1007/978-3-030-88601-1_4
https://doi.org/10.1007/978-3-030-88601-1_4
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, In press
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52 (7), pp.4092-4104
IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, In press
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52 (7), pp.4092-4104
International audience; The classification analysis of missing data is still a challenging task since the training patterns may be insufficient and incomplete in many fields. To train a high-performance classifier and pursue high accuracy, we learn a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa92b43860117e58ec870167b265555b
https://hal.archives-ouvertes.fr/hal-03271783
https://hal.archives-ouvertes.fr/hal-03271783
Publikováno v:
DICTA2018
DICTA2018, Dec 2018, Canberra, Australia
DICTA
DICTA2018, Dec 2018, Canberra, Australia
DICTA
International audience; Conventional supervised classification approaches have significant limitations in the land cover classification from remote sensing data because a large amount of high quality labeled samples are difficult to guarantee. To ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173ac10d64d4890db6901841590de721
https://hal.science/hal-01922096/file/dicta.pdf
https://hal.science/hal-01922096/file/dicta.pdf
Publikováno v:
Online Social Networks and Media
Online Social Networks and Media, 2018, Volume 7, pp.30-44
Online Social Networks and Media, Elsevier, 2018, Volume 7, pp.30-44
Online Social Networks and Media, 2018, Volume 7, pp.30-44
Online Social Networks and Media, Elsevier, 2018, Volume 7, pp.30-44
International audience; Nowadays, social networks have become an important part of our daily lives. Hence, several researchers have been interested in the study and analysis of the interactions between the entities composing this type of networks. By
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66b52e4e5ac8e81d8f18dc2c700c3546
https://hal.science/hal-01868866/document
https://hal.science/hal-01868866/document
Publikováno v:
20th International Conference on Big Data Analytics and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. ⟨10.1007/978-3-319-98539-8_9⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783319985381
DaWaK
DaWaK: Data Warehousing and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. ⟨10.1007/978-3-319-98539-8_9⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783319985381
DaWaK
International audience; Community detection is a popular topic in network science field. In social network analysis, preference is often applied as an attribute for individuals' representation. In some cases, uncertain and imprecise preferences may a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc6eb204aa0d89c01ad69eb3c5123bb
https://hal.science/hal-01880391/document
https://hal.science/hal-01880391/document
Publikováno v:
Big Data and Cognitive Computing
Big Data and Cognitive Computing, MDPI, 2018, 2 (3), pp.25-47. ⟨10.3390/bdcc2030025⟩
Big Data and Cognitive Computing, Vol 2, Iss 3, p 25 (2018)
Volume 2
Issue 3
Big Data and Cognitive Computing, MDPI, 2018, 2 (3), pp.25-47. ⟨10.3390/bdcc2030025⟩
Big Data and Cognitive Computing, Vol 2, Iss 3, p 25 (2018)
Volume 2
Issue 3
International audience; Environmental data are currently gaining more and more interest as they are required to understand global changes. In this context, sensor data are collected and stored in dedicated databases. Frameworks have been developed fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39fa59375c63943026ae9dc5e606fc9f
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01862116
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01862116
Publikováno v:
Knowledge-Based Systems. 213:106643
In this paper, a dynamic evidential clustering algorithm (DEC) is introduced to address the computational burden of existing methods. To derive such a solution, an FCM-like objective function is first employed and minimized to obtain the support leve
Publikováno v:
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems, 2018, 26 (3), pp.1217_1230. ⟨10.1109/TFUZZ.2017.2718483⟩
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2018, 26 (3), pp.1217_1230. ⟨10.1109/TFUZZ.2017.2718483⟩
IEEE Transactions on Fuzzy Systems, 2018, 26 (3), pp.1217_1230. ⟨10.1109/TFUZZ.2017.2718483⟩
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2018, 26 (3), pp.1217_1230. ⟨10.1109/TFUZZ.2017.2718483⟩
International audience; In pattern classification problem, different classifiers learnt using different training data can provide more or less complementary knowledge, and the combination of classifiers is expected to improve the classification accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9438079d1acb973e7c53e1d9e70b7893
https://hal.science/hal-01588701
https://hal.science/hal-01588701