Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vincent Brault"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008726 (2021)
We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the vira
Externí odkaz:
https://doaj.org/article/918655a2c0ac432eb85ac6a2e6877c18
Autor:
Louis Devillaine, Raphaël Lambert, Jérôme Boutet, Saifeddine Aloui, Vincent Brault, Caroline Jolly, Etienne Labyt
Publikováno v:
Sensors, Vol 21, Iss 21, p 7026 (2021)
Five to ten percent of school-aged children display dysgraphia, a neuro-motor disorder that causes difficulties in handwriting, which becomes a handicap in the daily life of these children. Yet, the diagnosis of dysgraphia remains tedious, subjective
Externí odkaz:
https://doaj.org/article/f1560fcdb82746fcb17db41692fc6788
Autor:
Louis Deschamps, Louis Devillaine, Clement Gaffet, Raphaël Lambert, Saifeddine Aloui, Jérôme Boutet, Vincent Brault, Etienne Labyt, Caroline Jolly
Publikováno v:
Advances in Artificial Intelligence and Machine Learning
Advances in Artificial Intelligence and Machine Learning, In press, https://www.oajaiml.com/uploads/222/13194_pdf.pdf
Advances in Artificial Intelligence and Machine Learning, 2021, 1 (2), pp.114-135. ⟨10.54364/AAIML.2021.1108⟩
Advances in Artificial Intelligence and Machine Learning, In press, https://www.oajaiml.com/uploads/222/13194_pdf.pdf
Advances in Artificial Intelligence and Machine Learning, 2021, 1 (2), pp.114-135. ⟨10.54364/AAIML.2021.1108⟩
International audience; Dysgraphia is a writing disorder that affects a significant part of the population, especially school aged children and particularly boys. Nowadays, dysgraphia is insufficiently diagnosed, partly because of the cumbersomeness
Publikováno v:
Electronic journal of statistics
Electronic journal of statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electronic Journal of Statistics
Electronic Journal of Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electron. J. Statist. 14, no. 1 (2020), 1234-1268
Electronic journal of statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electronic Journal of Statistics
Electronic Journal of Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2020, 14 (1), pp.1234-1268. ⟨10.1214/20-EJS1695⟩
Electron. J. Statist. 14, no. 1 (2020), 1234-1268
The Latent Block Model (LBM) is a model-based method to cluster simultaneously the $d$ columns and $n$ rows of a data matrix. Parameter estimation in LBM is a difficult and multifaceted problem. Although various estimation strategies have been propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b992aacde62470058503e9484cbfdd49
https://hal.archives-ouvertes.fr/hal-01511960v3/document
https://hal.archives-ouvertes.fr/hal-01511960v3/document
Publikováno v:
ESAIM: Proceedings and Surveys
ESAIM: Proceedings and Surveys, 2020, 68, pp.97-122. ⟨10.1051/proc/202068006⟩
ESAIM: Proceedings and Surveys, EDP Sciences, 2020, 68, pp.97-122. ⟨10.1051/proc/202068006⟩
ESAIM: Proceedings and Surveys, Vol 68, Pp 97-122 (2020)
ESAIM: Proceedings and Surveys, 2020, 68, pp.97-122. ⟨10.1051/proc/202068006⟩
ESAIM: Proceedings and Surveys, EDP Sciences, 2020, 68, pp.97-122. ⟨10.1051/proc/202068006⟩
ESAIM: Proceedings and Surveys, Vol 68, Pp 97-122 (2020)
International audience; Recent contributions to change-point detection, segmentation and inference for non-regular models are presented. Various problems are considered including the multiple change-point estimation with adaptive penalty for time ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994643c5c225748097b0fbcab93eae47
https://hal.science/hal-02868510/file/proc206806.pdf
https://hal.science/hal-02868510/file/proc206806.pdf
Autor:
Vincent Brault, Charlotte Laclau
Publikováno v:
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery, Springer, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩
Data Mining and Knowledge Discovery, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩
Data Mining and Knowledge Discovery, Springer, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩
Data Mining and Knowledge Discovery, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩
International audience; Co-clustering is known to be a very powerful and efficient approach in unsupervised learning because of its ability to partition data based on both the observations and the variables of a given dataset. However, in high-dimens
Publikováno v:
Journal of Multivariate Analysis. 165:143-165
We propose a novel nonparametric approach to estimate the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of random variables whose distribution changes from block to block. Our chang
Autor:
Vincent Brault
Somewhere between the Sumida River, the Tsukiji fish market, and a contemporary art gallery, Vincent returns from Montreal to Tokyo, where his lover has passed away in tragic circumstances. So begins a sensual and disturbing tale of love and grief, o
Publikováno v:
Journal of Classification
Journal of Classification, Springer Verlag, 2021, 38, pp.158-186. ⟨10.1007/s00357-020-09379-w⟩
Journal of Classification, 2021, 38, pp.158-186. ⟨10.1007/s00357-020-09379-w⟩
Journal of Classification, Springer Verlag, 2021, 38, pp.158-186. ⟨10.1007/s00357-020-09379-w⟩
Journal of Classification, 2021, 38, pp.158-186. ⟨10.1007/s00357-020-09379-w⟩
We consider the simultaneous clustering of rows and columns of a matrix and more particularly the ability to measure the agreement between two co-clustering partitions. The new criterion we developed is based on the Adjusted Rand Index and is called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::694f7628ad5df3b03ae88de27b4adf3f
https://hal.inria.fr/hal-01524832v4/file/article_CARI.pdf
https://hal.inria.fr/hal-01524832v4/file/article_CARI.pdf
Autor:
Lise Vaudor, Hervé Tronchère, Marie Augendre, Vincent Brault, Dad Roux-Michollet, Marylise Cottet
Publikováno v:
Journal of Environmental Psychology
Journal of Environmental Psychology, Elsevier, 2018, 60, pp.9-20
Journal of Environmental Psychology, 2018, 60, pp.9-20
Journal of Environmental Psychology, Elsevier, 2018, 60, pp.9-20
Journal of Environmental Psychology, 2018, 60, pp.9-20
Landscape composition is known to influence how natural scenes are perceived and valuated. Updating the traditional methodologies in this field might produce new insights. We used in situ captured data (eye-tracking data acquired with a mobile device
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84b660bb4269ec2161cf66ee448426cc
https://halshs.archives-ouvertes.fr/halshs-01972413
https://halshs.archives-ouvertes.fr/halshs-01972413