67 citations · 100 across the 15 of their papers we have counts for
17 papers
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Ali Saleh, Abdul Karim Gizzini, Mohamad Ghassany +1
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decision-making process of its models…
A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
Reem Hammoud, Abdul Karim Gizzini, Ali J. Ghandour
Ensuring transparency and trust in artificial intelligence (AI) models is essential as they are increasingly deployed in safety-critical and high-stakes domains. Explainable AI (XA…
50 Years of Water Body Monitoring: The Case of Qaraaoun Reservoir, Lebanon
Ali Ahmad Faour, Nabil Amacha, Ali J. Ghandour
The sustainable management of the Qaraaoun Reservoir, the largest surface water body in Lebanon located in the Bekaa Plain, depends on reliable monitoring of its storage volume des…
A Decade of Wheat Mapping for Lebanon
Hasan Wehbi, Hasan Nasrallah, Mohamad Hasan Zahweh +3
Wheat accounts for approximately 20% of the world's caloric intake, making it a vital component of global food security. Given this importance, mapping wheat fields plays a crucial…
Quantum Meets SAR: A Novel Range-Doppler Algorithm for Next-Gen Earth Observation
Khalil Al Salahat, Mohamad El Moussawi, Ali J. Ghandour
Synthetic Aperture Radar (SAR) plays a vital role in remote sensing due to its ability to capture high-resolution images regardless of weather conditions or daylight. However, to t…
Efficient Adaptation For Remote Sensing Visual Grounding
Hasan Moughnieh, Mohamad Chalhoub, Hasan Nasrallah +4
Adapting pre-trained models has become an effective strategy in artificial intelligence, offering a scalable and efficient alternative to training models from scratch. In the conte…
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation
Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1
The support of artificial intelligence (AI) based decision-making is a key element in future 6G networks, where the concept of native AI will be introduced. Moreover, AI is widely…
Automated National Urban Map Extraction
Hasan Nasrallah, Abed Ellatif Samhat, Cristiano Nattero +1
Developing countries usually lack the proper governance means to generate and regularly update a national rooftop map. Using traditional photogrammetry and surveying methods to pro…
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
Abdul Karim Gizzini, Mustafa Shukor, Ali J. Ghandour
Current AI-based methods do not provide comprehensible physical interpretations of the utilized data, extracted features, and predictions/inference operations. As a result, deep le…
Empirical Study of PEFT techniques for Winter Wheat Segmentation
Mohamad Hasan Zahweh, Hasan Nasrallah, Mustafa Shukor +2
Parameter Efficient Fine Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to vario…
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation
Hossein Shreim, Abdul Karim Gizzini, Ali J. Ghandour
eXplainable Artificial Intelligence (XAI) has emerged as an essential requirement when dealing with mission-critical applications, ensuring transparency and interpretability of the…
Zero-Shot Refinement of Buildings' Segmentation Models using SAM
Ali Mayladan, Hasan Nasrallah, Hasan Moughnieh +2
Foundation models have excelled in various tasks but are often evaluated on general benchmarks. The adaptation of these models for specific domains, such as remote sensing imagery,…
Towards Explainable AI for Channel Estimation in Wireless Communications
Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1
Research into 6G networks has been initiated to support a variety of critical artificial intelligence (AI) assisted applications such as autonomous driving. In such applications, A…
Buildings Classification using Very High Resolution Satellite Imagery
Mohammad Dimassi, Abed Ellatif Samhat, Mohammad Zaraket +3
Buildings classification using satellite images is becoming more important for several applications such as damage assessment, resource allocation, and population estimation. We fo…
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images
Hasan Nasrallah, Abed Ellatif Samhat, Yilei Shi +3
Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently. Solar rooftop potential assessment reli…
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
Hasan Nasrallah, Mustafa Shukor, Ali J. Ghandour
Buildings' segmentation is a fundamental task in the field of earth observation and aerial imagery analysis. Most existing deep learning-based methods in the literature can be appl…
Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach
Ali J. Ghandour, Huda Hammoud, Samar Al-Hajj
Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this stu…