Výsledky vyhledávání - "Dachraoui, Asma"

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ml_edm package: a Python toolkit for Machine Learning based Early Decision Making

Autor: Renault, Aurélien, Achenchabe, Youssef, Bertrand, Édouard, Bondu, Alexis, Cornuéjols, Antoine, Lemaire, Vincent, Dachraoui, Asma

\texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own triggering strategy for classif

Externí odkaz: http://arxiv.org/abs/2408.12925

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Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms

Autor: Achenchabe, Youssef, Bondu, Alexis, Cornuéjols, Antoine, Dachraoui, Asma

An increasing number of applications require to recognize the class of an incoming time series as quickly as possible without unduly compromising the accuracy of the prediction. In this paper, we put forward a new optimization criterion which takes i

Externí odkaz: http://arxiv.org/abs/2005.09945

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Dissertation/ Thesis

Cost-Sensitive Early classification of Time Series

Autor: Dachraoui, Asma

Dans de nombreux domaines dans lesquels les mesures ou les données sont disponibles séquentiellement, il est important de savoir décider le plus tôt possible, même si c’est à partir d’informations encore incomplètes. C’est le cas par exe

Externí odkaz: http://www.theses.fr/2017SACLA002/document

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Akademický článek

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Classification précoce de séries temporelles lorsque reporter la décision est coûteux

Autor: Dachraoui, Asma

Publikováno v: Human health and pathology. Université Paris-Saclay, 2017. English. ⟨NNT : 2017SACLA002⟩
Human health and pathology. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLA002⟩

Early classification of time series is becoming increasingly a valuable task for assisting in decision making process in many application domains. In this setting, information can be gained by waiting for more evidences to arrive, thus helping to mak

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdfbe7dc4ebd09572d76a1601928a770
https://tel.archives-ouvertes.fr/tel-01944104/document

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Early classification of individual electricity consumptions

Autor: Dachraoui, Asma, Bondu, Alexis, Cornuéjols, Antoine

Publikováno v: ECML-PKDD-2013
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013), Sep 2013, Prague, France

EDF3 hires special contracts with costumers to flatten the consumption peaks. Smart meters are able to record consumptions and will be set up over 35 millions households. In this paper, we highlight the interest of early classification for detecting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed63bbfac7e83a9bd8b88664cb085a0c
https://hal.archives-ouvertes.fr/hal-01565545

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Kniha

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem.

Autor: Dachraoui, Asma, Bondu, Alexis, Cornuéjols, Antoine

Publikováno v: Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I; 2015, p433-447, 15p