Said Boumaraf

According to our database, Said Boumaraf authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Vision-based air-flow monitoring in an industrial flare system design using deep convolutional neural networks.

Said Boumaraf, Muaz Al Radi, Fares Oussama Abdelhafez, Pengfei Li, Khalid Yousef Al Awadhi, Hamad Karki, Sahraoui Dhelim, Naoufel Werghi

Expert Syst. Appl., 2025

Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements.

Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

IEEE Access, 2025

2024

Occlusion-aware deep convolutional neural network via homogeneous Tanh-transforms for face parsing.

Jianhua Qiu, Weihua Liu, Chaochao Lin, Jiaojiao Li, Haoping Yu, Said Boumaraf

Image Vis. Comput., 2024

Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent.

Weihua Liu, Said Boumaraf, Jianwu Li, Chaochao Lin, Xiabi Liu, Lijuan Niu, Naoufel Werghi

CoRR, 2024

BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention.

Weihua Liu, Jianhua Qiu, Said Boumaraf, Chaochao Lin, Pan liyuan, Lin Li, Mohammed Bennamoun, Naoufel Werghi

CoRR, 2024

Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review.

Ahmad Obeid, Said Boumaraf, Anabia Sohail, Taimur Hassan, Sajid Javed, Jorge Dias, Mohammed Bennamoun, Naoufel Werghi

CoRR, 2024

AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges.

Muaz Al Radi, Pengfei Li, Said Boumaraf, Jorge Dias, Naoufel Werghi, Hamad Karki, Sajid Javed

IEEE Access, 2024

SMO-CLIP: Enhancing Anomalous Smoke Density Assessment Using A Hybrid LLM-VLM Approach.

Pengfei Li, Muaz Al Radi, Mahmoud Said Elmezain, Abdelfatah Hassan Ahmed, Abderrahmene Boudiaf, Said Boumaraf, Jorge Dias, Hamad Karki, Sajid Javed, Khalid Yousef Al Awadhi, Naoufel Werghi

Proceedings of the IEEE International Conference on Image Processing, 2024

VQA-Driven Facet-Level Texture Segmentation in 3D Surfaces.

Iyyakutti Iyappan Ganapathi, Sajid Javed, Syed Sadaf Ali, Mohamad Alansari, Said Boumaraf, Naoufel Werghi

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection.

Weihua Liu, Lin Li, Chaochao Lin, Said Boumaraf

CoRR, 2023

Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report Generation.

Weihua Liu, Youyuan Xue, Chaochao Lin, Said Boumaraf

CoRR, 2023

Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing.

Weihua Liu, Chaochao Lin, Haoping Yu, Said Boumaraf, Zhaoqiong Pi

CoRR, 2023

Vision-Based Analytics of Flare Stacks Using Deep Learning Detection.

Muaz Al Radi, Said Boumaraf, Hamad Karki, Jorge Dias, Naoufel Werghi, Sajid Javed

Proceedings of the 21st International Conference on Advanced Robotics, 2023

2021

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images.

Said Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous

Biomed. Signal Process. Control., 2021

U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images.

Zhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.

Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma

CoRR, 2020

Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

CoRR, 2019

A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion.

Xiaodong Qi, Xiabi Liu, Said Boumaraf

Proceedings of the International Joint Conference on Neural Networks, 2019