output
20062026
most citedSciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

40.2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2014Show all

6 papers · 1 filter

cs.CL2014★ 19 cited

Arabic Language Text Classification Using Dependency Syntax-Based Feature Selection

Yannis Haralambous, Yassir Elidrissi, Philippe Lenca

We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rul…

cs.NE2014

Storing sequences in binary tournament-based neural networks

Xiaoran Jiang, Vincent Gripon, Claude Berrou +1

An extension to a recently introduced architecture of clique-based neural networks is presented. This extension makes it possible to store sequences with high efficiency. To obtain…

cs.IR2014★ 23 cited

Text Classification Using Association Rules, Dependency Pruning and Hyperonymization

Yannis Haralambous, Philippe Lenca

We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing method…

cs.CL2014★ 12 cited

Thematically Reinforced Explicit Semantic Analysis

Yannis Haralambous, Vitaly Klyuev

We present an extended, thematically reinforced version of Gabrilovich and Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic information through the category…

cs.CL2014

Les mathématiques de la langue : l'approche formelle de Montague

Yannis Haralambous

We present a natural language modelization method which is strongely relying on mathematics. This method, called "Formal Semantics," has been initiated by the American linguist Ric…

cs.IT2014

Relaxed Recovery Conditions for OMP/OLS by Exploiting both Coherence and Decay

Cédric Herzet, Angélique Drémeau, Charles Soussen

We propose extended coherence-based conditions for exact sparse support recovery using orthogonal matching pursuit (OMP) and orthogonal least squares (OLS). Unlike standard uniform…