Filtrer vos résultats
- 59
- 46
- 59
- 24
- 10
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 71
- 46
- 20
- 13
- 6
- 3
- 1
- 5
- 4
- 8
- 9
- 2
- 10
- 6
- 7
- 5
- 10
- 6
- 6
- 3
- 6
- 5
- 7
- 3
- 2
- 86
- 19
- 72
- 26
- 21
- 20
- 14
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 68
- 31
- 30
- 16
- 10
- 10
- 8
- 8
- 7
- 6
- 6
- 6
- 6
- 6
- 6
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
105 résultats
|
Hidden Markov models for time series of counts with excess zerosEuropean Symposium on Artificial Neural Networks, 2012, Belgium. pp.133-138
Communication dans un congrès
hal-00655588v1
|
||
Discrete TS : two hidden-Markov models for time series of count data1ères Rencontres R, 2012, France
Communication dans un congrès
hal-00707150v1
|
|||
|
Some reflections about time, durations and transitions when mining complex data. A statistical perspective.Mathematics [math]. Université Paris 1, 2019
HDR
tel-02418681v1
|
||
Unsupervised learning for panel dataLaCOSA II - International conference on sequence analysis and related methods, Jun 2016, Lausanne, Switzerland. 2016
Poster de conférence
hal-01519710v1
|
|||
Asymptotic properties of mixture-of-experts modelsESANN, 2010, Belgium. pp.207-212
Communication dans un congrès
hal-00655589v1
|
|||
Comparison of three algorithms for parametric change-point detectionEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), 2016, Bruges, Belgium
Communication dans un congrès
hal-01519702v1
|
|||
|
Asymptotic properties of autoregressive regime-switching modelsESAIM: Probability and Statistics, 2011, 16, pp.25-47. ⟨10.1051/ps/2011153⟩
Article dans une revue
hal-00655586v1
|
||
|
Asymptotic properties of mixture-of-experts modelsNeurocomputing, 2011, 74 (9), pp.1444-1449
Article dans une revue
hal-00547520v1
|
||
From urban segregation to spatial structure detectionEnvironment and Planning B: Urban Analytics and City Science, 2020, 47 (4), pp.645-661. ⟨10.1177/2399808318797129⟩
Article dans une revue
hal-03898614v1
|
|||
Unequal time series clustering applied on flight data12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) , Jun 2017, Nancy, France
Communication dans un congrès
hal-01519718v1
|
|||
|
Design Aircraft Engine Bivariate Data Phases using Change-Point Detection Method and Self-Organizing MapsITISE 2017, Sep 2017, Grenade, Spain
Communication dans un congrès
hal-02022393v1
|
||
|
Detection of Abnormal Flights Using Fickle Instances in SOM MapsVellido A.; Gibert K; Angulo C.; Martín Guerrero J. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019., 976, Springer, Cham., pp.120-129, 2019, Advances in Intelligent Systems and Computing, 978-3-030-19641-7. ⟨10.1007/978-3-030-19642-4_12⟩
Chapitre d'ouvrage
hal-02909696v1
|
||
|
Segregation through the multiscalar lensProceedings of the National Academy of Sciences of the United States of America, 2019, 116 (25), pp.12250-12254. ⟨10.1073/pnas.1900192116⟩
Article dans une revue
hal-02625677v1
|
||
Measuring and Visualizing Patterns of Ethnic Concentration: The Role of Distortion CoefficientsGeographical Analysis, 2022, 54 (1), pp.173-196. ⟨10.1111/gean.12271⟩
Article dans une revue
hal-03900989v1
|
|||
|
Anomaly Detection for Bivariate SignalsRojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in Computer Science,, ⟨10.1007/978-3-030-20521-8_14⟩
Chapitre d'ouvrage
hal-02874017v1
|
||
Using SOMbrero for clustering and visualizing complex dataCMStatistics, Dec 2016, Seville, Spain
Communication dans un congrès
hal-01519707v1
|
|||
Using SOMbrero for clustering and visualizing complex data9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2016, Séville, Spain
Communication dans un congrès
hal-01604379v1
|
|||
|
Self-organizing maps for clustering and visualization of bipartite graphs46e Journées de la Société Française de Statistique, Jun 2014, Rennes, France. pp.109
Communication dans un congrès
hal-02739820v1
|
||
|
Multiple dissimilarity SOM for clustering and visualizing graphs with node and edge attributesInternational Conference on Machine Learning, Workshop FEAST, Jul 2015, Lille, France. 1p
Communication dans un congrès
hal-01175731v1
|
||
|
Classification et visualisation de graphes avec SOMbreroQuatrièmes Rencontres R, Jun 2015, Grenoble, France. pp.2
Communication dans un congrès
hal-02795287v1
|
||
|
Reply to Stepinski and Dmowska: Segregation beyond scale and across space: Arbitrary versus objective analysisProceedings of the National Academy of Sciences of the United States of America, 2019, 116 (45), pp.22437-22437. ⟨10.1073/pnas.1914910116⟩
Article dans une revue
hal-02877684v1
|
||
Carte auto-organisatrice pour graphes étiquetésAtelier Fouilles de Grands Graphes - EGC, Jan 2013, Toulouse, France
Communication dans un congrès
hal-02807496v1
|
|||
|
On-line relational and multiple relational SOMNeurocomputing, 2015, 147, pp.15-30. ⟨10.1016/j.neucom.2013.11.047⟩
Article dans une revue
hal-01063831v1
|
||
|
Sparse online self-organizing maps for large relational dataWSOM 2016, Jan 2016, Houston, TX, United States. pp.27-37, ⟨10.1007/978-3-319-28518-4_6⟩
Communication dans un congrès
hal-01270710v1
|
||
|
Self-Organizing Maps for clustering and visualization of bipartite graphs46e Journées de Statistique de la SFdS, Jun 2014, Rennes, France. pp.109
Communication dans un congrès
hal-01001991v1
|
||
|
Using SOMbrero for clustering and visualizing graphsJournal de la Société Française de Statistique, 2015, 156 (3), pp.95-119
Article dans une revue
hal-01232672v1
|
||
Revealing Multiscale Segregation Effects from Fine-Scale Data: A Case Study of Two Communities in ParisSpatial Demography, 2020, 8 (3), pp.255-267. ⟨10.1007/s40980-020-00065-4⟩
Article dans une revue
hal-03901022v1
|
|||
|
SOMbrero : Cartes auto-organisatrices stochastiques pour l'intégration de données décrites par des tableaux de dissimilarités2èmes Rencontres R, Jun 2013, Lyon, France. pp.99-100
Communication dans un congrès
hal-00850514v1
|
||
|
Carte auto-organisatrice pour graphes étiquetés.Atelier Fouilles de Grands Graphes (FGG) - EGC'2013, Jan 2013, Toulouse, France. pp.Article numéro 4
Communication dans un congrès
hal-00783860v1
|
||
|
Multiple kernel self-organizing mapsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.83
Communication dans un congrès
hal-00817920v1
|