Zobrazeno 1 - 10 of 123 pro vyhledávání: '"Philippe LENCA"'
1
Akademický článek
Economic analysis of digital motor rehabilitation technologies: a systematic review
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
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2
Akademický článek
Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations
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
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3
Akademický článek
Mining High Utility Itemsets with Regular Occurrence
Autor: Komate Amphawan, Philippe Lenca, Anuchit Jitpattanakul, Athasit Surarerks
Publikováno v: Journal of ICT Research and Applications, Vol 10, Iss 2 (2016)
High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These item
Externí odkaz: https://doaj.org/article/6dd041b0dbb94facab6b7d34bed714e0
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4
Akademický článek
Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications.
Autor: Sofian Berrouiguet, Maria Luisa Barrigón, Sara A Brandt, Santiago Ovejero-García, Raquel Álvarez-García, Juan Jose Carballo, Philippe Lenca, Philippe Courtet, MEmind Study Group, Enrique Baca-García
Publikováno v: PLoS ONE, Vol 11, Iss 10, p e0163796 (2016)
The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is able to significantly improve management pharmacological treatments. We developed a web application available on smartphones in order to help clinicians
Externí odkaz: https://doaj.org/article/5a540c28d7c642609bb02f9d309dc91e
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5
HYBRID DEEP NEURAL NETWORK ANOMALY DETECTION SYSTEM FOR SCADA NETWORKS
Autor: Raogo Kabore, Hyacinthe Kouassi Konan, Adlès Kouassi, Yvon Kermarrec, Philippe Lenca, Olivier Asseu
Publikováno v: Far East Journal of Mathematical Sciences (FJMS)
Far East Journal of Mathematical Sciences (FJMS), 2021, 128 (2), pp.141-191. ⟨10.17654/MS128020141⟩
International audience; Industrial control system (ICS) or SCADA networks architecture has been evolved from isolated environments to interconnected networks with the enterprise networks and the Internet. Moreover, modern SCADA networks also encompas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7ad03f31c4690a30f267a381f7c408
https://doi.org/10.17654/ms128020141
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7
Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning
Autor: Ikram Chraibi Kaadoud, Lina Fahed, Philippe Lenca
Publikováno v: Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal, Canada. 2021
Twelfth International Workshop Modelling and Reasoning in Context
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal (virtual), Canada. pp.28-40
HAL
International audience; EXplainable Artificial Intelligence (XAI) has recently become a very active domain, mainly due to the extensive development of black-box models such as neural networks. Recent XAI objectives have been defined in the state-of-t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9000730ae9df76d0664cb897af33da52
https://hal.archives-ouvertes.fr/hal-03345286/file/2021-08-MRC-HCCS-IJCAI-POSTER.pdf
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8
Review of Anomaly Detection Systems in Industrial Control Systems Using Deep Feature Learning Approach
Autor: Philippe Lenca, Olivier Asseu, Adlès Kouassi, Yvon Kermarrec, Rodrigue N’goran, Raogo Kabore
Publikováno v: Engineering
Engineering, Scientific Research, 2021, 13 (1), pp.30-44. ⟨10.4236/eng.2021.131003⟩
International audience; Industrial Control Systems (ICS) or SCADA networks are increasingly targeted by cyber-attacks as their architectures shifted from proprietary hardware, software and protocols to standard and open sources ones. Furthermore, the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c075a7bb62e0dc8630ab71aa344f175
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03174461/file/eng_2021011211363390.pdf
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9
Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Autor: Romain Billot, Philippe Lenca, Michel Walter, Jordan E. DeVylder, Yannis Haralambous, Taylor C. Ryan, Deok-Hee Kim-Dufor, Jonathan Marsh, Sofian Berrouiguet, Christophe Lemey, Aziliz Le Glaz
Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, 2021, 23 (5), pp.e15708. ⟨10.2196/15708⟩
Journal of Medical Internet Research, Vol 23, Iss 5, p e15708 (2021)
Journal of Medical Internet Research, JMIR Publications, 2021, 23 (5), pp.e15708. ⟨10.2196/15708⟩
Background Machine 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 perfor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30049d343d26e9f2e385e765705c8d60
https://imt-atlantique.hal.science/hal-03217684
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10
TemporalNode2vec: Task-agnostic and Task-specific Temporal Node Embedding
Autor: Mounir HADDAD, Cécile BOTHOREL, Philippe LENCA, Dominique BEDART
The goal of graph embedding is to learn a representation of graphs vertices in a latent low-dimensional space in order to encode the structural information that lies in graphs. While real-world networks evolve over time, the majority of research focu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9cdeaf1d25f409406334844cb3668f17
https://doi.org/10.21203/rs.3.rs-16018/v1
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