Motaz Alfarraj

According to our database, Motaz Alfarraj authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

Explainable deep learning diagnostic system for prediction of lung disease from medical images.

Nussair Adel Hroub, Ali Nader Alsannaa, Maad Alowaifeer, Motaz Alfarraj, Emmanuel Okafor

Comput. Biol. Medicine, March, 2024

Contrastive-based YOLOv7 for personal protective equipment detection.

Hussein Samma, Sadam Al-Azani, Hamzah Luqman, Motaz Alfarraj

Neural Comput. Appl., February, 2024

Geology-constrained dynamic graph convolutional networks for seismic facies classification.

Ziyad Alswaidan, Motaz Alfarraj, Hamzah Luqman

Comput. Geosci., February, 2024

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting.

Emmanuel Okafor, Mojeed Opeyemi Oyedeji, Motaz Alfarraj

J. King Saud Univ. Comput. Inf. Sci., January, 2024

The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection.

Asma Z. Yamani, Raghad Alziyady, Reem AlYami, Salma Albelali, Leina Albelali, Jawharah Almulhim, Amjad K. Alsulami, Motaz Alfarraj, Rabeah A. Al-Zaidy

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data.

Naveed Iqbal, Mudassir Masood, Motaz Alfarraj, Umair bin Waheed

IEEE Trans. Geosci. Remote. Sens., 2023

Facies-Guided Seismic Image Super-Resolution.

Adnan Hamida, Motaz Alfarraj, Abdullatif A. Al-Shuhail, Salam A. Zummo

IEEE Trans. Geosci. Remote. Sens., 2023

ESC-PAN: An Efficient CNN Architecture for Image Super-Resolution.

Adnan Hamida, Motaz Alfarraj, Salam A. Zummo

IEEE Access, 2023

Recursions Are All You Need: Towards Efficient Deep Unfolding Networks.

Rawwad Alhejaili, Motaz Alfarraj, Hamzah Luqman, Ali Al-Shaikhi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automatic Hajj and Umrah Ritual Detection Using IMU Sensors.

Khalil Chikhaoui, Mohammed Elrashidy, Motaz Alfarraj, Ali H. Muqaibel, Rida Sadagah, Abdullah Sharqawi

IEEE Access, 2022

Efficient Self-Calibrated Convolution for Real-Time Image Super-Resolution.

Adnan Hamida, Motaz Alfarraj, Salam A. Zummo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Meta-Optimization of Deep CNN for Image Denoising Using LSTM.

Basit Olakunle Alawode, Motaz Alfarraj

CoRR, 2021

2020

CoMMonS: Challenging Microscopic Material Surface Dataset.

Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib

Dataset, May, 2020

Facies-Mark: A Machine Learning Benchmark for Facies Classification.

Ghassan Alregib, Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj

Dataset, February, 2020

Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset.

Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib, Sungmee Park, Sundaresan Jayaraman

CoRR, 2020

2019

LANDMASS.

Ghassan AlRegib, Yazeed Alaudah, Motaz Alfarraj

Dataset, October, 2019

Semi-supervised Sequence Modeling for Elastic Impedance Inversion.

Motaz Alfarraj, Ghassan AlRegib

CoRR, 2019

Characterization of migrated seismic volumes using texture attributes: a comparative study.

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed A. Deriche, Ghassan AlRegib

CoRR, 2019

Petrophysical property estimation from seismic data using recurrent neural networks.

Motaz Alfarraj, Ghassan AlRegib

CoRR, 2019

A Machine Learning Benchmark for Facies Classification.

Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj, Ghassan AlRegib

CoRR, 2019

2018

Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective.

Ghassan AlRegib, Mohamed A. Deriche, Zhiling Long, Haibin Di, Zhen Wang, Yazeed Alaudah, Muhammad Amir Shafiq, Motaz Alfarraj

IEEE Signal Process. Mag., 2018

Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective.

Ghassan AlRegib, Mohamed A. Deriche, Zhiling Long, Haibin Di, Zhen Wang, Yazeed Alaudah, Muhammad A. Shafiq, Motaz Alfarraj

CoRR, 2018

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes.

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed A. Deriche, Suhail Al-Dharrab, Haibin Di

CoRR, 2018

2016

Content-adaptive non-parametric texture similarity measure.

Motaz Alfarraj, Yazeed Alaudah, Ghassan AlRegib

Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016