Christophe Salperwyck

According to our database1, Christophe Salperwyck authored at least 13 papers between 2007 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2015
CourboSpark: Decision Tree for Time-series on Spark.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Concept drift detection using supervised bivariate grids.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Classifieur naïf de Bayes pondéré pour flux de données.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

A Survey on Supervised Classification on Data Streams.
Proceedings of the Business Intelligence - 4th European Summer School, 2014

2013
A Two Layers Incremental Discretization Based on Order Statistics.
Proceedings of the Statistical Models for Data Analysis, 2013

Incremental decision tree based on order statistics.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Grille bivariée pour la détection de changement dans un flux étiqueté.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Incremental Weighted Naive Bays Classifiers for Data Stream.
Proceedings of the Data Science, 2013

2012
Apprentissage incrémental en ligne sur flux de données. (Incremental online learning on data streams).
PhD thesis, 2012

Stumping along a Summary for Exploration & Exploitation Challenge 2011.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012

2011
Learning with few examples: An empirical study on leading classifiers.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Classification incrémentale supervisée : un panel introductif.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2007
GhostDB: Hiding Data from Prying Eyes.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007


  Loading...