2 citations · 2 across the 4 of their papers we have counts for
6 papers
ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems
Mohamed Ohamouddou, Said Ohamouddou, Abdellatif El Afia +1
This study proposes ATMS-KD (Adaptive Temperature and Mixed-Sample Knowledge Distillation), a novel framework for developing lightweight CNN models suitable for resource-constraine…
MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification
Said Ohamouddou, Hanaa El Afia, Mohamed Hamza Boulaich +2
Graph-based deep learning on LiDAR point clouds encodes geometry through edge features, yet standard implementations use the same encoding at every scale. In tree species classific…
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
Abderrafik Laakel Hemdanou, Youssef Achtoun, Mohammed Lamarti Sefian +2
Existing approaches remain largely constrained by traditional distance metrics, limiting their effectiveness in handling random data. In this work, we introduce the first k-means v…
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches
Bousselham El Haddaoui, Raddouane Chiheb, Rdouan Faizi +1
Social media platforms are becoming the foundations of social interactions including messaging and opinion expression. In this regard, Sentiment Analysis techniques focus on provid…
HPAC-IDS: A Hierarchical Packet Attention Convolution for Intrusion Detection System
Anass Grini, Btissam El Khamlichi, Abdellatif El Afia +1
This research introduces a robust detection system against malicious network traffic, leveraging hierarchical structures and self-attention mechanisms. The proposed system includes…
LSTM based models stability in the context of Sentiment Analysis for social media
Bousselham El Haddaoui, Raddouane Chiheb, Rdouan Faizi +1
Deep learning techniques have proven their effectiveness for Sentiment Analysis (SA) related tasks. Recurrent neural networks (RNN), especially Long Short-Term Memory (LSTM) and Bi…