Academic literature on the topic 'Analyse topologiques des données'
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Journal articles on the topic "Analyse topologiques des données"
Rahmania, N., and Jacques Herman. "Analyse de données qualitatives." Revue Française de Sociologie 28, no. 4 (October 1987): 719. http://dx.doi.org/10.2307/3321567.
Full textDiby, Hugues. "La traduction comme traversée des espaces urbains dans Samba pour la France de Delphine Coulin (2011)." Études littéraires africaines, no. 53 (August 17, 2022): 71–78. http://dx.doi.org/10.7202/1091415ar.
Full textCORPET, F., and C. CHEVALET. "Analyse informatique des données moléculaires." INRAE Productions Animales 13, HS (December 22, 2000): 191–95. http://dx.doi.org/10.20870/productions-animales.2000.13.hs.3837.
Full textMinini, P., and M. Chavance. "Analyse de données binaires répétées : sensibilité aux données manquantes." Revue d'Épidémiologie et de Santé Publique 52, no. 5 (October 2004): 455–64. http://dx.doi.org/10.1016/s0398-7620(04)99081-5.
Full textCourgeau, Daniel. "Analyse de données biographiques erronées." Population (French Edition) 46, no. 1 (January 1991): 89. http://dx.doi.org/10.2307/1533611.
Full textCourgeau, Daniel. "Analyse des données biographiques erronées." Population Vol. 46, no. 1 (January 1, 1991): 89–104. http://dx.doi.org/10.3917/popu.p1991.46n1.0104.
Full textNajim, Jamal, and Daniel Courgeau. "Analyse de biographies fragmentaires." Population Vol. 50, no. 1 (January 1, 1995): 149–68. http://dx.doi.org/10.3917/popu.p1995.50n1.0168.
Full textLamarche, Rodolphe, and Jean Francon. "Analyse et simulation topologiques en géographie, application à l’étude des migrations interrégionales." Cahiers de géographie du Québec 19, no. 46 (April 12, 2005): 189–207. http://dx.doi.org/10.7202/021253ar.
Full textBoyé, Gilles. "Une analyse de la conjugaison française basée sur les données." Cahiers du Centre de Linguistique et des Sciences du Langage, no. 45 (March 23, 2016): 19–44. http://dx.doi.org/10.26034/la.cdclsl.2016.505.
Full textSpieser, Jean-Michel. "Céramique byzantine et analyse des données." Le médiéviste et l'ordinateur 1, no. 1 (1990): 75–79. http://dx.doi.org/10.3406/medio.1990.1237.
Full textDissertations / Theses on the topic "Analyse topologiques des données"
El, Golli Aicha. "Extraction de données symboliques et cartes topologiques : Application aux données ayant une structure complexe." Paris 9, 2004. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2004PA090026.
Full textEl, Golli Aïcha. "Extraction de données symboliques et cartes topologiques: application aux données ayant une structure complexe." Phd thesis, Université Paris Dauphine - Paris IX, 2004. http://tel.archives-ouvertes.fr/tel-00178900.
Full textVidal, Jules. "Progressivité en analyse topologique de données." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS398.
Full textTopological Data Analysis (TDA) forms a collection of tools that enable the generic and efficient extraction of features in data. However, although most TDA algorithms have practicable asymptotic complexities, these methods are rarely interactive on real-life datasets, which limits their usability for interactive data analysis and visualization. In this thesis, we aimed at developing progressive methods for the TDA of scientific scalar data, that can be interrupted to swiftly provide a meaningful approximate output and that are able to refine it otherwise. First, we introduce two progressive algorithms for the computation of the critical points and the extremum-saddle persistence diagram of a scalar field. Next, we revisit this progressive framework to introduce an approximation algorithm for the persistence diagram of a scalar field, with strong guarantees on the related approximation error. Finally, in a effort to perform visual analysis of ensemble data, we present a novel progressive algorithm for the computation of the discrete Wasserstein barycenter of a set of persistence diagrams, a notoriously computationally intensive task. Our progressive approach enables the approximation of the barycenter within interactive times. We extend this method to a progressive, time-constraint, topological ensemble clustering algorithm
Doan, Nath-Quang. "Modèles hiérarchiques et topologiques pour le clustering et la visualisation des données." Paris 13, 2013. http://scbd-sto.univ-paris13.fr/secure/edgalilee_th_2013_doan.pdf.
Full textThis thesis focuses on clustering approaches inspired from topological models and an autonomous hierarchical clustering method. The clustering problem becomes more complicated and difficult due to the growth in quality and quantify of structured data such as graphs, trees or sequences. In this thesis, we are particularly interested in self-organizing maps which have been generally used for learning topological preservation, clustering, vector quantization and graph visualization. Our studyconcerns also a hierarchical clustering method AntTree which models the ability of real ants to build structure by connect themselves. By combining the topological map with the self-assembly rules inspired from AntTree, the goal is to represent data in a hierarchical and topological structure providing more insight data information. The advantage is to visualize the clustering results as multiple hierarchical trees and a topological network. In this report, we present three new models that are able to address clustering, visualization and feature selection problems. In the first model, our study shows the interest in the use of hierarchical and topological structure through several applications on numerical datasets, as well as structured datasets e. G. Graphs and biological dataset. The second model consists of a flexible and growing structure which does not impose the strict network-topology preservation rules. Using statistical characteristics provided by hierarchical trees, it accelerates significantly the learning process. The third model addresses particularly the issue of unsupervised feature selection. The idea is to use hierarchical structure provided by AntTree to discover automatically local data structure and local neighbors. By using the tree topology, we propose a new score for feature selection by constraining the Laplacian score. Finally, this thesis offers several perspectives for future work
Rogouschi, Nicoleta. "Classification à base de modèles de mélanges topologiques des données catégorielles et continues." Paris 13, 2009. http://www.theses.fr/2009PA132015.
Full textThe research presented in this thesis concerns the development of self-organising map approaches based on mixture models which deal with different kinds of data : qualitative, mixed and sequential. For each type of data we propose an adapted unsupervised learning model. The first model, described in this work, is a new learning algorithm of topological map BeSOM (Bernoulli Self-Organizing Map) dedicated to binary data. Each map cell is associated with a Bernoulli distribution. In this model, the learning has the objective to estimate the density function presented as a mixture of densities. Each density is as well a mixture of Bernoulli distribution defined on a neighbourhood. The second model touches upon the problem of probability approaches for the mixeddata clustering (quantitative and qualitative). The model is inspired by previous workswhich define a distribution by a mixture of Bernoulli and Gaussian distributions. This approach gives a different dimension to topological map : it allows probability map interpretation and others the possibility to take advantage of local distribution associated with continuous and categorical variables. As for the third model presented in this thesis, it is a new Markov mixture model applied to treatment of the data structured in sequences. The approach that we propose is a generalisation of traditional Markov chains. There are two versions : the global approach, where topology is used implicitly, and the local approach where topology is used explicitly. The results obtained upon the validation of all the methods are encouragingand promising, both for classification and modelling
Jaziri, Rakia. "Modèles de mélanges topologiques pour la classification de données structurées en séquences." Paris 13, 2013. http://scbd-sto.univ-paris13.fr/secure/edgalilee_th_2013_jaziri.pdf.
Full textRecent years have seen the development of data mining techniques in various application areas, with the purpose of analyzing sequential, large and complex data. In this work, the problem of clustering, visualization and structuring data is tackled by a three-stage proposal. The first proposal present a generative approach to learn a new probabilistic Self-Organizing Map (PrSOMS) for non independent and non identically distributed data sets. Our model defines a low dimensional manifold allowing friendly visualizations. To yield the topology preserving maps, our model exhibits the SOM like learning behavior with the advantages of probabilistic models. This new paradigm uses HMM (Hidden Markov Models) formalism and introduces relationships between the states. This allows us to take advantage of all the known classical views associated to topographic map. The second proposal concerns a hierarchical extension of the approach PrSOMS. This approach deals the complex aspect of the data in the classification process. We find that the resulting model ”H-PrSOMS” provides a good interpretability of classes built. The third proposal concerns an alternative approach statistical topological MGTM-TT, which is based on the same paradigm than HMM. It is a generative topographic modeling observation density mixtures, which is similar to a hierarchical extension of time GTM model. These proposals have then been applied to test data and real data from the INA (National Audiovisual Institute). This work is to provide a first step, a finer classification of audiovisual broadcast segments. In a second step, we sought to define a typology of the chaining of segments (multiple scattering of the same program, one of two inter-program) to provide statistically the characteristics of broadcast segments. The overall framework provides a tool for the classification and structuring of audiovisual programs
Lebbah, Mustapha. "Carte topologique pour données qualitatives : application à la reconnaissance automatique de la densité du trafic routier." Phd thesis, Université de Versailles-Saint Quentin en Yvelines, 2003. http://tel.archives-ouvertes.fr/tel-00161698.
Full textCe travail de thèse a été réalisé à la direction de la recherche de RENAULT. Le travail s'est focalisé sur le développement d'un modèle de reconnaissance de trafic.
Le premier modèle proposé dans cette thèse est dédié aux données binaires ''BTM''. C'est un modèle de quantification vectorielle de type carte topologique. Ce modèle prend les caractéristiques principales des cartes topologiques. Pour ce nouveau modèle, afin de prendre en compte les spécificités des données binaires, on a choisi de changer la métrique usuelle utilisée dans les modèles de cartes topologiques et d'utiliser la distance Hamming.
Le second modèle est le premier modèle probabiliste de cartes topologiques dédié aux données binaires. Ce modèle s'inspire de travaux antérieurs qui modélisent une distribution par un mélange de mélange de lois de Bernoulli.
Le troisième modèle est un nouveau modèle de carte topologique appelé CTM (Categorical topological Map) adapté à la classification non supervisée des données qualitatives multi-dimensionnelles. Ce nouveau modèle conserve cependant les principales caractéristiques des deux modèles précédents. Afin de maximiser les vraisemblance des données, CTM utilise de manière classique l'algorithme EM.
Dans ce mémoire, on introduit le domaine d'application propre au travail mené chez RENAULT. Nous détaillerons l'apport original de notre travail: utilisation de l'information catégorielle pour traiter de la reconnaissance du trafic. Nous exposerons les différentes analyses effectuées sur l'application des algorithmes proposés.
Lacombe, Théo. "Statistiques sur les descripteurs topologiques à base de transport optimal." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX036.
Full textTopological data analysis (TDA) allows one to extract rich information from structured data (such as graphs or time series) that occurs in modern machine learning problems. This information will be represented as descriptors such as persistence diagrams, which can be described as point measures supported on a half-plane. While persistence diagrams are not elements of a vector space, they can still be compared using partial matching metrics. The similarities between these metrics and those routinely used in optimal transport—another field of mathematics—are known for long, but a formal connection between these two fields is yet to come.The purpose of this thesis is to clarify this connection and develop new theoretical and computational tools to manipulate persistence diagrams, targeting statistical applications. First, we show how optimal partial transport with boundary, a variation of classic optimal transport theory, provides a formalism that encompasses standard metrics in TDA. We then show-case the benefits of this connection in different situations: a theoretical study and the development of an algorithm to perform fast estimation of barycenters of persistence diagrams, the characterization of continuous linear representations of persistence diagrams and how to learn such representations using a neural network, and eventually a stability result in the context of linearly averaging random persistence diagrams
Alboody, Ahed. "Réception des données spatiales et leurs traitements : analyse d'images satellites pour la mise à jour des SIG par enrichissement du système de raisonnement spatial RCC8." Toulouse 3, 2011. http://thesesups.ups-tlse.fr/1316/.
Full textNowadays, the resolution of satellite images and the volume of available geographic databases are constantly growing. Images of high resolution remote sensing represent sources of heterogeneous data increasingly necessary and difficult to exploit. These images are considered very rich and useful sources for updating Geographic Information Systems (GIS). To update these databases, a step of change detection is necessary and required. This thesis focuses on the study of satellite image analysis by enriching the spatial reasoning system RCC8 (Region Connection Calculus) for the detection of topological changes in order to update GIS databases. The ultimate goal of this study is to exploit and enrich the topological relations of the system RCC8. The interest of the enrichment and detailed description of RCC8 system relations lies in the fact that they can automatically detect the different levels of topological details and topological changes between geographical regions represented on GIS digital maps and satellite images. In this thesis, we propose and develop an extension of the Intersection and Difference (ID) topological model by using topological invariants which are : the separation number, the neighborhood and the spatial element type. This extension enriches and details the relations of the system RCC8 at two levels of detail. At the first level, the enrichment of the system RCC8 is made by using the topological invariant of the separation number and the new system is called "system RCC-16 at level-1". To avoid confusion problems between the topological relations of this new system, the second level by enriching the "system RCC-16 at level-1" is done by using the topological invariant of the spatial element type and the new system is called "system RCC-16 at level-2". These two systems RCC-16 (at two levels : level-1 and level-2) will be applied to satellite image analysis, change detection and spatial analysis in GIS. We propose a new method for detecting changes between a new satellite image and a GIS old digital map. This method integrates the topological analysis of the system RCC-16 to detect and identify changes between two satellite images, or between two vector maps produced at different dates. In this study of the enrichment of the system RCC8, spatial regions have simple spatial representations. However, the spatial and topological relations between regions in satellite images and GIS data are more complex, vague and uncertain. With the aim of studying the topological relations between fuzzy regions, a model called the Fuzzy topological model of Intersection and Difference (FID) for the description of topological relations between fuzzy regions is proposed and developed. 152 topological relations can be extracted using this model FID. These 152 relations are grouped into eight clusters of the qualitative relations of the system RCC8 : Disjoint (Disconnected), Meets (Externally Connected), Overlaps (Partially Overlapping), CoveredBy (Tangential Proper Part), Inside (Non-Tangential Proper Part), Covers (Tangential Proper Part Inverse), Contains (Non-Tangential Proper Part Inverse), and Equal. These relations will be evaluated and extracted from satellite images to give examples of their interest in the image analysis field and GIS. The contribution of this thesis is marked by enriching the qualitative spatial reasoning system RCC8 giving rise to a new system, RCC-16, implementing a new method of change detection, the model FID, and clustering the 152 fuzzy topological relations in eight qualitative clusters of the system RCC8
Soler, Maxime. "Réduction et comparaison de structures d'intérêt dans des jeux de données massifs par analyse topologique." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS364.
Full textIn this thesis, we propose different methods, based on topological data analysis, in order to address modern problematics concerning the increasing difficulty in the analysis of scientific data. In the case of scalar data defined on geometrical domains, extracting meaningful knowledge from static data, then time-varying data, then ensembles of time-varying data proves increasingly challenging. Our approaches for the reduction and analysis of such data are based on the idea of defining structures of interest in scalar fields as topological features. In a first effort to address data volume growth, we propose a new lossy compression scheme which offers strong topological guarantees, allowing topological features to be preserved throughout compression. The approach is shown to yield high compression factors in practice. Extensions are proposed to offer additional control over the geometrical error. We then target time-varying data by designing a new method for tracking topological features over time, based on topological metrics. We extend the metrics in order to overcome robustness and performance limitations. We propose a new efficient way to compute them, gaining orders of magnitude speedups over state-of-the-art approaches. Finally, we apply and adapt our methods to ensemble data related to reservoir simulation, for modeling viscous fingering in porous media. We show how to capture viscous fingers with topological features, adapt topological metrics for capturing discrepancies between simulation runs and a ground truth, evaluate the proposed metrics with feedback from experts, then implement an in-situ ranking framework for rating the fidelity of simulation runs
Books on the topic "Analyse topologiques des données"
Miles, Matthew B. Analyse des données qualitatives. 2nd ed. Paris: De Boeck Université, 2003.
Find full textBouroche, Jean-Marie. L'Analyse des données. 6th ed. Paris: Presses universitaires de France, 1994.
Find full textAndrzej, Granas, ed. Méthodes topologiques en analyse non linéaire: Comptes rendus. Montréal, Québec, Canada: Presses de l'Université de Montréal, 1985.
Find full textCrauser, Jean-Pierre. Guide pratique d'analyse des données. Paris: Éditions d'organization, 1989.
Find full textCibois, Philippe. L' analyse des données en sociologie. 2nd ed. Paris: Presses universitaires de France, 1990.
Find full textAnne-Béatrice, Dufour, and Normand Myriam, eds. Le modèle euclidien en analyse des données. Bruxelles: Editions de l'Université de Bruxelles, 1990.
Find full textBurkina Faso. Ministère du travail et de la sécurité sociale. Travail et sécurité sociale: Analyse des données. Ouagadougou, Burkina Faso]: Ministère du Travail et de la Sécurité Sociale, Secrétariat Général, 2008.
Find full textGardarin, Georges. Bases de données relationnelles : analyse et comparaison des systèmes. 3rd ed. Paris: Eyrolles, 1988.
Find full textGardarin, Georges. SGBD relationnels: Analyse et comparaison de bases de données. Paris: Eyrolles, 1989.
Find full textBook chapters on the topic "Analyse topologiques des données"
Guyomard, Marc. "Analyse d’algorithmes." In Structures de données et méthodes formelles, 107–28. Paris: Springer Paris, 2011. http://dx.doi.org/10.1007/978-2-8178-0200-8_4.
Full text"1. Espaces vectoriels topologiques." In Analyse et équations aux dérivées partielles, 3–32. EDP Sciences, 2023. http://dx.doi.org/10.1051/978-2-7598-3140-1.c002.
Full text"1. Espaces vectoriels topologiques." In Analyse et équations aux dérivées partielles, 3–32. EDP Sciences, 2023. https://doi.org/10.1051/978-2-7598-3139-5.c002.
Full text"Analyse des données." In La recherche qualitative en éducation, 81–92. Presses de l'Université du Québec, 2011. http://dx.doi.org/10.2307/j.ctv18pgjnq.13.
Full text"Analyse des données." In Creditor Reporting System on Aid Activities, 15–30. OECD, 2003. http://dx.doi.org/10.1787/crs_aid-v2003-1-2-en-fr.
Full text"Orientations bibliographiques." In Analyse des données, 267–68. Dunod, 2017. http://dx.doi.org/10.3917/dunod.caumo.2017.01.0267.
Full text"ANALYSE DE DONNÉES INFORMATIQUES." In L'apologie de Jérôme contre Rufin, 425–51. BRILL, 1993. http://dx.doi.org/10.1163/9789004312814_016.
Full text"Analyse croisée des données." In L’architecture de Mésopotamie et du Caucase de la fin du 7e à la fin du 5e millénaire, 177. Turnhout, Belgium: Brepols Publishers, 2021. http://dx.doi.org/10.1484/m.araxes-eb.5.125744.
Full text"Front Matter." In Analyse des données textuelles, i—vi. Presses de l'Université du Québec, 2019. http://dx.doi.org/10.2307/j.ctvq4bxws.1.
Full text"Exploration, visualisation, validation et inférence." In Analyse des données textuelles, 141–68. Presses de l'Université du Québec, 2019. http://dx.doi.org/10.2307/j.ctvq4bxws.10.
Full textConference papers on the topic "Analyse topologiques des données"
Lechêne, Sullivan, Bertrand Blanquart, and Jean-Raymond Fontaine. "Analyse de données d’étalonnage sur un parc d’anémomètres." In 18th International Congress of Metrology, edited by Cosimi Corletto. Les Ulis, France: EDP Sciences, 2017. http://dx.doi.org/10.1051/metrology/201710007.
Full textJOUSSET, Solène, Franck DUMAS, and Tanguy SZEKELY. "Analyse dynamique d'un front côtier de marée dans la perspective d'une expérience d'assimilation de données." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2014. http://dx.doi.org/10.5150/jngcgc.2014.043.
Full textTHIEBAUD, Léa, Anne-Laure TIBERI-WADIER, and Yvonnick BEAUDOUIN. "Analyse de données de vent en Europe pour caractériser le potentiel de l’éolien en mer." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2018. http://dx.doi.org/10.5150/jngcgc.2018.067.
Full textBuzun, Andriy-Igor. "L’MICROBIOME DE COBAYE AFFECTE-T-IL AU L’NEUROVIRULENCE DU TESHOVIRUS ENVERS L’PORC? ANALYSE RÉTROSPECTIVE DES DONNÉES." In DÉBATS SCIENTIFIQUES ET ORIENTATIONS PROSPECTIVES DU DÉVELOPPEMENT SCIENTIFIQUE. La Fedeltà & Plateforme scientifique européenne, 2021. http://dx.doi.org/10.36074/logos-01.10.2021.v1.24.
Full textVaysse, Robin, Alain Ghio, Corine Astésano, Jérôme Farinas, and François Viallet. "Analyse macroscopique des variations et modulations de F0 en lecture dans la maladie de Parkinson : données sur 320 locuteurs." In XXXIVe Journées d'Études sur la Parole -- JEP 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/jep.2022-33.
Full textCrouzet, Olivier, Agnieszka Duniec, and Elisabeth Delais-Roussarie. "Analyse Factorielle de signaux musicaux : comparaison avec les données de parole dans la perspective de l'hypothèse de codage efficace." In XXXIVe Journées d'Études sur la Parole -- JEP 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/jep.2022-75.
Full textFAHIM, Othmane. "Impact de l’Investissement et de l’Entrepreneuriat sur la Croissance Economique dans les pays de la région MENA : Analyse en données de panel dynamique." In Quelles politiques économiques en faveur de l’investissement et de l’emploi en période de crises et de reconstitution de l’économie mondiale ? Francisco Baptista Gil, 2023. http://dx.doi.org/10.23882/eb.23.0535-08.
Full textCARNUS, François, Ann Sophie GABELLINI, and Olivier MERCIER. "Analyse des données AIS des secteurs PACA Est et Sanctuaire PELAGOS pour l’évaluation des problématiques liées au trafic maritime pour la gestion du milieu marin." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2016. http://dx.doi.org/10.5150/jngcgc.2016.039.
Full textHadj SaÏd, M., L. Thollon, Y. Godio-Raboutet, J. H. Catherine, C. M. Chossegros, and D. Tardivo. "Modélisation 3D de l’os maxillaire dans l’analyse par éléments finis en implantologie orale : une nouvelle approche utilisant CBCT et anthropométrie." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603022.
Full textOrdioni, U., G. Labrosse, F. Campana, R. Lan, J. H. Catherine, and A. F. Albertini. "Granulomatose oro-faciale révélatrice d’une maladie de Crohn : présentation d’un cas." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603017.
Full textReports on the topic "Analyse topologiques des données"
Kaboré, Gisele, and Idrissa Kabore. Analyse secondaire des données de l'analyse situationnelle des services de santé de la reproduction. Population Council, 2009. http://dx.doi.org/10.31899/pgy20.1000.
Full textMeissner, Fabian, Janneke Pepels, Joana Pipa, Mieke Goos, Barbara Belfi, Sérgio Gaitas, Franciso Peixoto, and Florian Klapproth. Redoublement pendant la scolarité obligatoire en Europe: Réglementations et pratiques. Maastricht University Press, March 2025. https://doi.org/10.26481/mup.rep.alter.2501.fr.
Full textNédellec, Claire, Adeline Nazarenko, Francis André, Catherine Balivo, Béatrice Daille, Anastasia Drouot, Jorge Flores, et al. Recommandations sur l’analyse automatique de documents : acquisition, gestion, exploration. Ministère de l'enseignement supérieur et de la recherche, September 2019. http://dx.doi.org/10.52949/10.
Full textLanglais, Pierre-Carl. Données de recherche ouvertes. Comité pour la science ouverte, 2024. https://doi.org/10.52949/70.
Full textMeunier, Valérie, and Eric Marsden. Analyse coût-bénéfices: guide méthodologique. Fondation pour une culture de sécurité industrielle, December 2009. http://dx.doi.org/10.57071/492acb.
Full textde Lamotte, Frédéric, Véronique Stoll, Cécile Arenes, Marie-Emilia Herbert, Stéphane Debard, Françoise Genova, Christine Hadrossek, et al. Sélectionner un entrepôt thématique de confiance pour le dépôt de données : méthodologie et analyse de l'offre existante. Ministère de l’enseignement supérieur et de la recherche, March 2024. http://dx.doi.org/10.52949/52.
Full textPipa, Joana, Janneke Pepels, Sérgio Gaitas, Mieke Goos, Franciso Peixoto, Barbara Belfi, Fabian Meissner, and Florian Klapproth. Résumé des facteurs prédictifs et des effets du redoublement en Europe. Maastricht University Press, March 2025. https://doi.org/10.26481/mup.rep.alter.2502.fr.
Full textNegrini, Alessia, Jacques Perron, Samantha Vila Masse, Charles-Édouard Giguère, Andrea Gragnano, and Marc Corbière. Analyse longitudinale et comparative des absences et des départs hâtifs dans un milieu d'éducation au Québec : une étude de exploratoire. IRSST, August 2024. http://dx.doi.org/10.70010/aogc9943.
Full textAmmi, Mehdi, Raphael Langevin, Emmanuelle Arpin, and Erin C. Strumpf. Effets de la pandémie de COVID-19 sur la réallocation des dépenses de santé publique par fonction : estimation de court terme et analyse prédictive contrefactuelle. CIRANO, June 2024. http://dx.doi.org/10.54932/lslr2977.
Full textCissé, Amy, Thomas G. Poder, Jaunnathan Bilodeau, and Amélie Quesnel-Vallée. Analyse de la situation d’emploi, du conflit travail-famille et de l’évolution de la qualité de vie reliée à la santé pendant la pandémie de COVID-19 au Québec. CIRANO, November 2024. http://dx.doi.org/10.54932/qwne7668.
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