Mobile robot path planning for complex dynamic environments. - Mohamed Lamine Tazir; Ouahiba Azouaoui; Mohamed Hazerchi; Mohammed Brahimi 001 (ICAR, 2015)

Deep Learning for Tomato Diseases: Classification and Symptoms Visualization. - Mohammed Brahimi 001; Kamel Boukhalfa; Abdelouahab Moussaoui (Appl. Artif. Intell., 2017)

3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images. - Sohaib Laraba; Mohammed Brahimi 001; Joëlle Tilmanne; Thierry Dutoit (Comput. Animat. Virtual Worlds, 2017)

Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation. - Mohammed Brahimi 001; Marko Arsenovic; Sohaib Laraba; Srdjan Sladojevic; Kamel Boukhalfa; Abdelouahab Moussaoui (Human and Machine Learning, 2018)

Location Embedding and Deep Convolutional Neural Networks for Next Location Prediction. - Abdessamed Sassi; Mohammed Brahimi 001; Walid Bechkit; Abdelmalik Bachir (LCN Symposium, 2019)

Deep interpretable architecture for plant diseases classification. - Mohammed Brahimi 001; Saïd Mahmoudi; Kamel Boukhalfa; Abdelouahab Moussaoui (SPA, 2019)

An improved sine cosine algorithm to select features for text categorization. - Mouhoub Belazzoug; Mohamed Touahria; Farid Nouioua; Mohammed Brahimi 001 (J. King Saud Univ. Comput. Inf. Sci., 2020)

Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning. - Imane Nedjar; Mohammed Brahimi 001; Saïd Mahmoudi; Khadidja Abi Ayad; Mohammed Amine Chikh (CoRR, 2023)

Improving plant disease classification using realistic data augmentation. - Wassim Benabbas; Mohammed Brahimi 001; Samir Akhrouf; Bilal Fortas (Multim. Tools Appl., 2024)

Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening. - Radia Berreziga; Mohammed Brahimi 001; Khairedine Kraim; Hamid Azzoune (CoRR, 2025)