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ORCIDNicolas Nicoloyannis
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2000 – 2009
- 2009
[p1]Emna Bahri, Stéphane Lallich, Nicolas Nicoloyannis, Mondher Maddouri:
A Hybrid Approach of Boosting Against Noisy Data. Mining Complex Data 2009: 41-54- 2007
- [j2]Anna Stavrianou, Periklis Andritsos, Nicolas Nicoloyannis:
Overview and semantic issues of text mining. SIGMOD Rec. 36(3): 23-34 (2007) - [c23]Emna Bahri, Nicolas Nicoloyannis, Mondher Maddouri:
Improving Boosting by Exploiting Former Assumptions. MCD 2007: 131-142 - [c22]Julien Thomas, Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
Mesure non symétrique pour l'évaluation de modèles, utilisation pour les jeux de données déséquilibrés. EGC 2007: 509-519 - 2006
- [c21]Rémi Gaudin, Sylvaine Barbier, Nicolas Nicoloyannis, Maks Banens:
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data. DMIN 2006: 10-16 - [c20]Rémi Gaudin, Nicolas Nicoloyannis:
An Adaptable Time Warping Distance for Time Series Learning. ICMLA 2006: 213-218 - [c19]Julien Thomas, Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
Optimisation and Evaluation of Random Forests for Imbalanced Datasets. ISMIS 2006: 622-631 - 2005
- [c18]Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
Une approche filtre pour la sélection de variables en apprentissage non supervisé. EGC 2005: 31-42 - [c17]Rémi Gaudin, Nicolas Nicoloyannis:
Apprentissage non supervisé de séries temporelles à l'aide des k-means et d'une nouvelle méthode d'agrégation de séries. EGC 2005: 201-212 - [c16]Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
A Filter Feature Selection Method for Clustering. ISMIS 2005: 583-593 - [c15]Gaëlle Legrand, Nicolas Nicoloyannis:
Feature Selection Method Using Preferences Aggregation. MLDM 2005: 203-217 - [c14]Gaëlle Legrand, Nicolas Nicoloyannis:
Data Preprocessing and Kappa Coefficient. RSFDGrC (1) 2005: 176-184 - 2004
- [c13]Efthimios C. Mavrikas, Nicolas Nicoloyannis, Evangelia Kavakli:
Cultural Heritage Information on the Semantic Web. EKAW 2004: 477-478 - [c12]Pierre-Emmanuel Jouve, Gaëlle Legrand, Nicolas Nicoloyannis:
Sélection rapide en apprentissage supervisé. EGC 2004: 185-196 - [c11]Gaëlle Legrand, Nicolas Nicoloyannis:
Construction de variables et arbre de décision. EGC 2004: 204 - 2003
- [c10]Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
The "Who Is It?" Problem Application for Customizable Web Sites. AWIC 2003: 83-93 - [c9]Laurent Baumes, Pierre-Emmanuel Jouve, David Farrusseng, Mourad Lengliz, Nicolas Nicoloyannis, Claude Mirodatos:
Dynamic Control of the Browsing-Exploitation Ratio for Iterative Optimisations. KES 2003: 265-270 - [c8]Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
A Method for Aggregating Partitions, Applications in K.D.D. PAKDD 2003: 411-422 - 2002
- [c7]Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
Nouvelle approche pour l'extraction des rectangles maximaux d'une relation binaire, applications en extraction de connaissances à partir de données. EGC 2002: 41-52 - 2001
- [c6]Fadila Bentayeb, Omar Boussaid, Nicolas Nicoloyannis:
Un cadre topologique pour OLAP. EGC 2001: 355 - 2000
- [c5]Gilbert Ritschard
, Nicolas Nicoloyannis:
Aggregation and Association in Cross Tables. PKDD 2000: 593-598 - [c4]Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis:
An Experimental Study of Partition Quality Indices in Clustering. PKDD 2000: 599-604
1990 – 1999
- 1999
- [j1]Stéphane Bonnevay, Michel Lamure, Christine Largeron-Leténo, Nicolas Nicoloyannis:
A pretopological approach for structuring data in non-metric spaces. Electron. Notes Discret. Math. 2: 1-9 (1999) - 1996
- [c3]Stéphane Bonnevay, Michel P. Lamure, Nicolas Nicoloyannis:
Statistical analysis of textures from compressed images. Image Processing 1996 - 1995
- [c2]Richard Dapoigny, Michel Lamure, Nicolas Nicoloyannis:
Pretopological Transformations of Binary Images: A Parallel Implementation. Parallel and Distributed Computing and Systems 1995: 288-291 - 1990
- [c1]Jean-Paul Auray, Gérard Duru, Michel P. Lamure, Jean-Jacques Milan, Nicolas Nicoloyannis:
Statistical modeling for brightness-gradient elimination. Image Processing 1990
Coauthor Index
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