Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Lenca, P."'
Autor:
Koffi Adzinyo Agbemanyole, Kokouvi Geovani Agbohessou, Christelle Pons, Philippe Lenca, Olivier Rémy-Néris, Myriam Le Goff-Pronost
Publikováno v:
Health Economics Review, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Rehabilitation technologies offer promising opportunities for interventions for patients with motor disabilities. However, their use in routine care remains limited due to their high cost and persistent doubts about their cost-effectiveness.
Externí odkaz:
https://doaj.org/article/0e97e2d9150942a19499f8ad07c40236
Publikováno v:
Network Science, 8(1), 1-41, 2020
Discovering community structure in complex networks is a mature field since a tremendous number of community detection methods have been introduced in the literature. Nevertheless, it is still very challenging for practioners to determine which metho
Externí odkaz:
http://arxiv.org/abs/1812.06598
Community detection emerges as an important task in the discovery of network mesoscopic structures. However, the concept of a "good" community is very context-dependent and it is relatively complicated to deduce community characteristics using availa
Externí odkaz:
http://arxiv.org/abs/1806.01386
Publikováno v:
In Information Sciences May 2022 593:314-340
Autor:
Yannis Haralambous, Philippe Lenca
Publikováno v:
Future Internet, Vol 15, Iss 7, p 239 (2023)
Motivated by the distinction between semantics and pragmatics as sub-disciplines of linguistics, shortly after Tim Berners-Lee introduced the Semantic Web in 2001, there have been works on its extension to the “pragmatic level”. Twenty years late
Externí odkaz:
https://doaj.org/article/4bd169c3ab94432480000668605bfbf3
We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rules vs. support vector machines, for classification. The Arabic text is
Externí odkaz:
http://arxiv.org/abs/1410.4863
Autor:
Haralambous, Yannis, Lenca, Philippe
We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders.
Externí odkaz:
http://arxiv.org/abs/1407.7357
Autor:
Le Glaz, Aziliz, Haralambous, Yannis, Kim-Dufor, Deok-Hee, Lenca, Philippe, Billot, Romain, Ryan, Taylor C, Marsh, Jonathan, DeVylder, Jordan, Walter, Michel, Berrouiguet, Sofian, Lemey, Christophe
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e15708 (2021)
BackgroundMachine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides good perform
Externí odkaz:
https://doaj.org/article/9e2f58fc0db745a1af0ad00dc0b1326c
Publikováno v:
Journal of Intelligent Systems, Vol 24, Iss 3, Pp 371-382 (2015)
The supervisor of the activities of a system user should benefit from the knowledge contained in the event logs of the user. They allow the monitoring of the sequential and parallel user activities. To make event logs more accessible to the superviso
Externí odkaz:
https://doaj.org/article/1a533c47ecf641f4a798f7691ab6cee0
Autor:
Berrouiguet, Sofian, Larsen, Mark Erik, Mesmeur, Catherine, Gravey, Michel, Billot, Romain, Walter, Michel, Lemey, Christophe, Lenca, Philippe
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 1, p e8 (2018)
BackgroundResearch indicates that maintaining contact either via letter or postcard with at-risk adults following discharge from care services after a suicide attempt (SA) can reduce reattempt risk. Pilot studies have demonstrated that interventions
Externí odkaz:
https://doaj.org/article/01f1dff981d74fd288e60ac542a07571