Redouane Tlemsani

Pr. Redouane Tlemsani is a Full Professor, an esteemed researcher and educator at the University of Science and Technology of Oran, Algeria, has made significant contributions in the fields of artificial intelligence, data science, biometrics, and Arabic text recognition. With a doctorate in computer science from USTO, he has dedicated his career to research and education. His work spans diverse topics, including gait recognition, behavioral biometrics, and Arabic character recognition. Currently, he serves as the Head of the Artificial Intelligence House within the same institution.

Publications

Introducing the Ultimate NOUN Dataset for Online Handwritten Alphabet Recognition
Introducing the Ultimate NOUN Dataset for Online Handwritten Alphabet Recognition
Khadidja ElKobra Belbachir, Redouane Tlemsani. © 2024. 23 pages.
For decades, researchers in the field of machine learning have been trying to raise the features of systems and develop methods and approaches, but they often suffer from a...
Boosting Convolutional Neural Networks Using a Bidirectional Fast Gated Recurrent Unit for Text Categorization
Boosting Convolutional Neural Networks Using a Bidirectional Fast Gated Recurrent Unit for Text Categorization
Assia Belherazem, Redouane Tlemsani. © 2022. 20 pages.
This paper proposes a hybrid text classification model that combines 1D CNN with a single Bidirectional Fast GRU (BiFaGRU) termed as CNN-BiFaGRU. Single convolution layer...
Hybrid PSO-ANFIS for Speaker Recognition
Hybrid PSO-ANFIS for Speaker Recognition
Samiya Silarbi, Redouane Tlemsani, Abderrahmane Bendahmane. © 2021. 14 pages.
This paper introduces an evolutionary approach for training the adaptive network-based fuzzy inference system (ANFIS). The previous works are based on gradient descendent (GD);...