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Fatiha Barigou
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2020 – today
- 2021
- [c9]Fatima Zohra Youcef
, Fatiha Barigou
:
Arabic language investigation in the context of unimodal and multimodal sentiment analysis. ACIT 2021: 1-7 - 2020
- [j12]Houda Fyad, Fatiha Barigou
, Karim Bouamrane:
An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods. Int. J. Interact. Multim. Artif. Intell. 6(2): 1-10 (2020) - [j11]Salima Behdenna
, Fatiha Barigou
, Ghalem Belalem
:
Towards Semantic Aspect-Based Sentiment Analysis for Arabic Reviews. Int. J. Inf. Syst. Serv. Sect. 12(4): 1-13 (2020) - [c8]Salima Brachemi-Meftah, Fatiha Barigou
:
Algerian Dialect Sentiment Analysis: Sate of Art. ACIT 2020: 1-7
2010 – 2019
- 2018
- [j10]Salima Behdenna
, Fatiha Barigou
, Ghalem Belalem
:
Document Level Sentiment Analysis: A survey. EAI Endorsed Trans. Context aware Syst. Appl. 4(13): e2 (2018) - [j9]Baya Naouel Barigou, Fatiha Barigou
, Chawki Benchehida, Baghdad Atmani
, Ghalem Belalem
:
The Design of a Cloud-based Clinical Decision Support System Prototype: Management of Drugs Intoxications in Childhood. Int. J. Heal. Inf. Syst. Informatics 13(4): 28-48 (2018) - [j8]Aicha Ghoulam, Fatiha Barigou
, Ghalem Belalem
, Farid Meziane
:
Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain. Int. J. Intell. Inf. Technol. 14(3): 1-17 (2018) - [j7]Fatiha Barigou
:
Impact of Instance Selection on kNN-Based Text Categorization. J. Inf. Process. Syst. 14(2): 418-434 (2018) - [c7]Salima Behdenna, Fatiha Barigou
, Ghalem Belalem
:
Sentiment Analysis of Arabic Tweets: Opinion Target Extraction. MISC 2018: 158-167 - 2016
- [c6]Baya Naouel Barigou, Baghdad Atmani
, Fatiha Barigou
:
A Rule-Based Computer-Aided System for Managing Home Accidents in Childhood. ISCRAM-med 2016: 121-127 - 2015
- [j6]Aicha Ghoulam, Fatiha Barigou, Ghalem Belalem
, Farid Meziane
:
Using Local Grammar for Entity Extraction from Clinical Reports. Int. J. Interact. Multim. Artif. Intell. 3(3): 16-24 (2015) - [j5]Fatiha Barigou
:
A new term weighting scheme for text categorisation. Int. J. Intell. Syst. Technol. Appl. 14(3/4): 256-272 (2015) - [j4]Aicha Ghoulam, Fatiha Barigou
, Ghalem Belalem
:
Information Extraction in the Medical Domain. J. Inf. Technol. Res. 8(2): 1-15 (2015) - 2014
- [j3]Fatiha Barigou, Bouziane Beldjilali, Baghdad Atmani:
Using cellular automata for improving knn based spam filtering. Int. Arab J. Inf. Technol. 11(4): 345-353 (2014) - [j2]Ahmed Abbache, Fatiha Barigou
, Fatma Zohra Belkredim, Ghalem Belalem
:
The Use of Arabic WordNet in Arabic Information Retrieval. Int. J. Inf. Retr. Res. 4(3): 54-65 (2014) - [c5]Fatiha Barigou, Naouel Barigou, Baghdad Atmani, Bouziane Beldjilali:
Sélection de prototypes en vue d'une catégorisation de textes avec les K plus proches voisins : étude comparative. EGC 2014: 167-172 - 2013
- [c4]Fatiha Barigou, Baghdad Atmani, Youcef Bouziane, Naouel Barigou:
Accélération de la méthode des K plus proches voisins pour la catégorisation de textes. EGC 2013: 241-246 - [i1]Hichem Benfriha, Fatiha Barigou, Baghdad Atmani:
Lattice-cell : Hybrid approach for text categorization. CoRR abs/1311.4151 (2013) - 2012
- [j1]Fatiha Barigou
, Baghdad Atmani
, Bouziane Beldjilali:
Using a Cellular Automaton to Extract Medical Information from Clinical Reports. J. Inf. Process. Syst. 8(1): 67-84 (2012) - [c3]Fatiha Barigou, Naouel Barigou, Baghdad Atmani:
Spam Detection System Combining Cellular Automata and Naïve Bayes Classifier. ICWIT 2012: 250-260 - [c2]Fatiha Barigou
, Naouel Barigou, Baghdad Atmani
:
Combining Classifiers for Spam Detection. NDT (1) 2012: 78-89 - 2011
- [c1]Fatiha Barigou, Baghdad Atmani, Bouziane Beldjilali:
Utilisation de la machine cellulaire pour la détection des courriels indésirables. EGC 2011: 321-322
Coauthor Index

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