Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Mehdi Kaytoue"'
Autor:
Carmen C Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud Fournel, Caroline Bushdid, Jerome Golebiowski, Celine Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 4, p e1006945 (2019)
An important goal in researching the biology of olfaction is to link the perception of smells to the chemistry of odorants. In other words, why do some odorants smell like fruits and others like flowers? While the so-called stimulus-percept issue was
Externí odkaz:
https://doaj.org/article/4aa1784ab3d940e89770539b6277d7e6
Publikováno v:
Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), Springer, 2020, pp. 439-476. ⟨10.1007/s10115-020-01523-7⟩
Knowledge and Information Systems (KAIS), Springer, 2020, pp. 439-476. ⟨10.1007/s10115-020-01523-7⟩
It is extremely useful to exploit labeled datasets not only to learn models and perform predictive analytics but also to improve our understanding of a domain and its available targeted classes. The subgroup discovery task has been considered for mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce2cc90586b5be13f855de30aa353f0
https://doi.org/10.1007/s10115-020-01523-7
https://doi.org/10.1007/s10115-020-01523-7
Publikováno v:
Complex Data Analytics with Formal Concept Analysis ISBN: 9783030932770
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e56ea1f497fc9c8de46b7493330c71
https://doi.org/10.1007/978-3-030-93278-7_6
https://doi.org/10.1007/978-3-030-93278-7_6
Publikováno v:
IEEE/ACM International Conference on Automated Software Engineering (ASE)
IEEE/ACM International Conference on Automated Software Engineering (ASE), Nov 2021, Melbourne, Australia
HAL
IEEE/ACM International Conference on Automated Software Engineering (ASE), Nov 2021, Melbourne, Australia
HAL
International audience; Among daily tasks of database administrators (DBAs), the analysis of query workloads to identify schema issues and improving performances is crucial. Although DBAs can easily pinpoint queries repeatedly causing performance iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37feeb1ec3fc32d7bd892553ac359dcd
https://hal.archives-ouvertes.fr/hal-03318172
https://hal.archives-ouvertes.fr/hal-03318172
Publikováno v:
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto, Portugal
DSAA
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto, Portugal
DSAA
International audience; Subgroup discovery (SD) enables one to elicit patterns that strongly discriminate a class label. When it comes to numerical data, most of the existing SD approaches perform data discretizations and thus suffer from information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f19e8e9803fa40502eb881d372ddecdc
https://hal.archives-ouvertes.fr/hal-03318017/document
https://hal.archives-ouvertes.fr/hal-03318017/document
Publikováno v:
DSAA
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto (on line), Portugal
HAL
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto (on line), Portugal
HAL
International audience; The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users. In the front line, on-call engineers (OCEs) have to quickly assess the degree of seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b151914580bf9930aef67995022db04
Publikováno v:
IEEE Conference on Games 2020
IEEE Conference on Games 2020, Aug 2020, Online, Japan. pp. 267-274
CoG
IEEE Conference on Games 2020, Aug 2020, Online, Japan. pp. 267-274
CoG
International audience; Competitive gaming, or esports, is now well-established and brought the game industry in a novel era. It comes with many challenges among which evaluating the level of a player, given the strategies and skills she masters. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885ca2dc4c4db31b13f523179d2f595b
https://hal.archives-ouvertes.fr/hal-02921566
https://hal.archives-ouvertes.fr/hal-02921566
Publikováno v:
A Guided Tour of Artificial Intelligence Research
Pierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, 2, Springer International Publishing, pp.411-445, 2020, AI Algorithms, 978-3-030-06167-8. ⟨10.1007/978-3-030-06167-8_13⟩
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061661
Pierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, 2, Springer International Publishing, pp.411-445, 2020, AI Algorithms, 978-3-030-06167-8. ⟨10.1007/978-3-030-06167-8_13⟩
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061661
International audience; In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions. FCA is a formalism based on lattice theory aimed at data analysis and knowledge processing. FCA allows the design of so-called concept lat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fffb02eba2a9da5166f0bd395971a0f8
https://hal.science/hal-03085699
https://hal.science/hal-03085699
Publikováno v:
Machine Learning
Machine Learning, Springer Verlag, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩
Machine Learning, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩
Machine Learning, Springer Verlag, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩
Machine Learning, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩
International audience; Many relational data result from the aggregation of several individual behaviors described by some characteristics. For instance, a bike-sharing system may be modeled as a graph where vertices stand for bike-share stations and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69bc55d561853ac7d34a959a1043cc7
https://doi.org/10.1007/s10994-016-5598-0
https://doi.org/10.1007/s10994-016-5598-0
Publikováno v:
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington, United States. pp. 81-90
DSAA
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington, United States. pp. 81-90
DSAA
International audience; It is extremely useful to exploit labeled datasets not only to learn models but also to improve our understanding of a domain and its available targeted classes. The so-called subgroup discovery task has been considered for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::862d824b9fc2254b2cfb05e1051cecd1
https://hal.archives-ouvertes.fr/hal-02282082
https://hal.archives-ouvertes.fr/hal-02282082