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Martine Cadot
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2010 – 2019
- 2019
- [p4]Michel Zitt, Alain Lelu, Martine Cadot, Guillaume Cabanac
:
Bibliometric Delineation of Scientific Fields. Springer Handbook of Science and Technology Indicators 2019: 25-68 - 2016
- [p3]Martine Cadot, Yves Laprie:
Extraction d'un modèle articulatoire à partir d'une analyse tri-directionnelle de cinéradiographies d'un locuteur. Fouille de Données Complexes 2016: 73-92 - 2015
- [c10]Anne Bonneau, Martine Cadot:
German non-native realizations of French voiced fricatives in final position of a group of words. INTERSPEECH 2015: 1927-1931 - 2014
- [c9]Martine Cadot, Yves Laprie:
Méthodologie 3-way d'extraction d'un modèle articulatoire de la parole à partir des données d'un locuteur. EGC 2014: 585-588 - 2011
- [j3]Pascal Cuxac
Paving the way for next generation data-stream clustering: towards a unique and statistically valid cluster structure at any time step. Int. J. Data Min. Model. Manag. 3(4): 341-360 (2011) - [p2]Martine Cadot, Dhouha El Haj Ali:
Modélisation et extraction des liens complexes entre variables. Application à des données socio-économiques. Fouille de données complexes 2011: 27-52 - 2010
- [c8]Martine Cadot, Alain Lelu:
Optimized Representation for Classifying Qualitative Data. DBKDA 2010: 241-246 - [c7]Martine Cadot, Alain Lelu:
A Novel Decomposition Algorithm for Binary Datatables: Encouraging results on discrimination tasks. RCIS 2010: 57-68
2000 – 2009
- 2009
- [c6]Alain Lelu, Martine Cadot:
Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection. EGC (best of volume) 2009: 307-324 - [c5]Martine Cadot, Alain Lelu:
Massive Pruning for Building an Operational Set of Association Rules: Metarules for Eliminating Conflicting and Redundant Rules. eKNOW 2009: 90-98 - [c4]Alain Lelu, Martine Cadot:
Graphe des liens et anti-liens statistiquement valides entre les mots d'un corpus textuel: test de randomisation TourneBool sur le corpus Reuters. EGC 2009: 367-378 - [p1]Martine Cadot:
Graphe de règles d'implication statistique pour le raisonnement courant. Comparaison avec les réseaux bayésiens et les treillis de Galois. Analyse Statistique Implicative 2009: 223-250 - [r1]Martine Cadot, Jean-Baptiste Maj, Tarek Ziadé:
Association Rules and Statistics. Encyclopedia of Data Warehousing and Mining 2009: 94-97 - 2008
- [i1]Alain Lelu, Martine Cadot, Pascal Cuxac
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends. CoRR abs/0811.0340 (2008) - 2006
- [b1]Martine Cadot:
Extraire et valider les relations complexes en sciences humaines : statistiques, motifs et règles d'association. (Extraction of Complex Relations in Humanistic : Statistics, Itemsets and Association Rules). University of Franche-Comté, Besançon, France, 2006 - [c3]Martine Cadot, Pascal Cuxac, Claire François:
Règles d'association avec une prémisse composée : mesure du gain d'information. EGC 2006: 599-600 - 2005
- [c2]Pascal Cuxac, Martine Cadot, Claire François:
Analyse comparative de classifications : apport des règles d'association floues. EGC 2005: 519-530 - 2004
- [c1]Martine Cadot, Joseph di Martino, Amedeo Napoli:
Réduction d'un jeu de règles d'association par des méta-règles issues de la logique du "sens commun". EGC 2004: 353 - 2003
- [j2]Martine Cadot, Joseph di Martino:
A data cleaning solution by Perl scripts for the KDD Cup 2003 task 2. SIGKDD Explor. 5(2): 158-159 (2003) - 2002
- [j1]Martine Cadot, Amedeo Napoli:
Une optimisation de l'extraction d'un jeu de règles s'appuyant sur les caractéristiques statistiques des données. Rev. d'Intelligence Artif. 16(6): 631-656 (2002)
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