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2020 – today
- 2023
[j7]Badr Ait Hammou, Fares Antaki
, Marie-Carole Boucher, Renaud Duval:
MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification. Int. J. Medical Informatics 178: 105178 (2023)- 2020
- [j6]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics. Inf. Process. Manag. 57(1) (2020)
2010 – 2019
- 2019
- [j5]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A distributed group recommendation system based on extreme gradient boosting and big data technologies. Appl. Intell. 49(12): 4128-4149 (2019) - [j4]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding. Expert Syst. Appl. 118: 209-216 (2019) - [j3]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems. Expert Syst. Appl. 137: 253-265 (2019) - [c3]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis. MSPN 2019: 153-162 - 2018
- [j2]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
APRA: An approximate parallel recommendation algorithm for Big Data. Knowl. Based Syst. 157: 10-19 (2018) - [c2]Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Concise Survey on Content Recommendations. BDCA 2018: 393-405 - 2017
- [j1]Badr Ait Hammou, Ayoub Ait Lahcen:
FRAIPA: A fast recommendation approach with improved prediction accuracy. Expert Syst. Appl. 87: 90-97 (2017) - 2016
- [c1]Badr Ait Hammou, Ayoub Ait Lahcen, Driss Aboutajdine:
A new recommendation algorithm for reducing dimensionality and improving accuracy. AICCSA 2016: 1-6
Coauthor Index
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