Random Partitioning Forest for Point-Wise and Collective Anomaly Detection -- Application to Intrusion Detection

1 code implementation • 29 Jun 2020 • Pierre-Francois Marteau

In this paper, we propose DiFF-RF, an ensemble approach composed of random partitioning binary trees to detect point-wise and collective (as well as contextual) anomalies.

Anomaly Detection Intrusion Detection

Co-clustering of bilingual datasets as a mean for assisting the construction of thematic bilingual comparable corpora

no code implementations • LREC 2014 • Guiyao Ke, Pierre-Francois Marteau

We address in this paper the assisted construction of bilingual thematic comparable corpora by means of co-clustering bilingual documents collected from raw sources such as the Web.

Clustering Information Retrieval

Variations on quantitative comparability measures and their evaluations on synthetic French-English comparable corpora

no code implementations • LREC 2014 • Guiyao Ke, Pierre-Francois Marteau, Gildas Menier

After recalling the definition of the quantitative comparability measure proposed by {\textbackslash}cite{Li-Gaussier-10}, we develop some variants of this measure based primarily on the consideration that the occurrence frequencies of lexical entries and the number of their translations are important.

Information Retrieval Machine Translation

Similarities induced by a comparability mapping : meaning and utility in the context of the clustering of comparable texts (Similarit\'es induites par mesure de comparabilit\'e : signification et utilit\'e pour le clustering et l'alignement de textes comparables) [in French]

no code implementations • JEPTALNRECITAL 2013 • Pierre-Francois Marteau, Gildas M{\'e}nier

Clustering