Karim Baati

12 papers B 1C 5Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Mise en place d'un système de notation par aspects pour les articles de E-commerce en se basant sur les avis en français des consommateurs.
APIA
Mathias Chastan, Rania Zaatour, Cheik Ouedraogo, Karim Baati
2020 C conf
Hybridization of Adaboost with Random Forest for Real-Time Prediction of Online Shoppers' Purchasing Intention.
HIS
Karim Baati
2020 — conf
Real-Time Prediction of Online Shoppers' Purchasing Intention Using Random Forest.
AIAI (1)
Karim Baati, Mouad Mohsil
2019 J jnl
A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based algorithm.
J. Intell. Fuzzy Syst.
Karim Baati, Tarek M. Hamdani, Adel M. Alimi, Ajith Abraham
2018 C conf
Towards a Hybrid System for the Identification of Arabic and Latin Scripts in Printed and Handwritten Natures.
HIS
Karim Baati, Slim Kanoun
2017 J jnl
A new classifier for categorical data based on a possibilistic estimation and a novel generalized minimum-based algorithm.
J. Intell. Fuzzy Syst.
Karim Baati, Tarek M. Hamdani, Adel M. Alimi, Ajith Abraham
2016 C conf
A Modified Naïve Bayes Style Possibilistic Classifier for the Diagnosis of Lymphatic Diseases.
HIS
Karim Baati, Tarek M. Hamdani, Adel M. Alimi, Ajith Abraham
2016 C conf
A Modified Naïve Possibilistic Classifier for Numerical Data.
ISDA
Karim Baati, Tarek M. Hamdani, Adel M. Alimi, Ajith Abraham
2016 — conf
Decision Quality Enhancement in Minimum-Based Possibilistic Classification for Numerical Data.
SoCPaR
Karim Baati, Tarek M. Hamdani, Adel M. Alimi, Ajith Abraham
2014 — conf
A modified hybrid naïve possibilistic Classifier for heart disease detection from heterogeneous medical data.
SoCPaR
Karim Baati, Tarek M. Hamdani, Adel M. Alimi
2013 B conf
Diagnosis of Lymphatic Diseases Using a Naive Bayes Style Possibilistic Classifier.
SMC
Karim Baati, Tarek M. Hamdani, Adel M. Alimi
2013 C conf
Hybrid Naïve Possibilistic Classifier for heart disease detection from heterogeneous medical data.
HIS
Karim Baati, Tarek M. Hamdani, Adel M. Alimi