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    <a href="https://rashidrao-pk.github.io//files/project_completed/Automatic-Polyp-Detection-Semantic-Segmentation-Image-Inpainting-Specular-Reflection-Detection-Stom/Codes/readme/" rel="permalink"></a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Blood-Vessels-Extraction-from-Fundus-Images-in-Matlab/README/" rel="permalink">Blood-Vessels-Extraction-from-Fundus-Images-in-Matlab</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques/README/" rel="permalink">EFFICIENT WAY TO DETECT BONE CANCER USING IMAGE SEGMENTATION-in-Matlab-using-Image-Processing-Techniques</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection/Results/readme/" rel="permalink">Results Folder</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/Dataset/Groundtruth/README/" rel="permalink">Description</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/Dataset/README/" rel="permalink">Description</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/README/" rel="permalink">Low-Light-Image-Enhancements-using-Matlab</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/Codes/readme/" rel="permalink">This folder contains codes for Lungs Nodule Detection and Classification</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/README/" rel="permalink">Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/dataset/detection/readme/" rel="permalink"></a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/dataset/readme/" rel="permalink"></a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/PSO-implementation-and-Ensemble-Learning-Models-to-predict-Heart-Diseases/README/" rel="permalink">PSO implementation and Ensemble Learning Models to predict Heart Diseases</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Patch-Based-Image-Enhancements-in-Matlab-CLAHE/README/" rel="permalink">Patch-Based-Image-Enhancements-in-Matlab-CLAHE</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Person-Re-Identification-using-Multiple-Cams-in-Matlab/Codes/readme/" rel="permalink"></a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Person-Re-Identification-using-Multiple-Cams-in-Matlab/README/" rel="permalink">Person-Re-Identification-using-Multiple-Cams-in-Matlab</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Polynomial-Regression-based-on-Deep-Learning-in-Matlab/README/" rel="permalink">Polynomial-Regression-based-on-Deep-Learning-in-Matlab</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Pretext-Task-Analysis-in-Self-Supervised-Feature-Learning-and-Image-Colorization-using-GAN/README/" rel="permalink">Pretext-Task-Analysis-in-Self-Supervised-Feature-Learning-and-Image-Colorization-using-GAN</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/README/" rel="permalink">RESEARCH PROJECTS (Completed as Freelancer) 🏭 :</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Skin-Segmentation-from-Face-Images-using-DLIB-information-in-Matlab/README/" rel="permalink">Skin-Segmentation-from-Face-Images-using-DLIB-information-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/feedbacks/" rel="permalink">What-Client-Say-About-Me–Freelancer-providing-Computer-Vision-and-Machine-Learning-Solutions</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Ant-Movement-Simulator-using-Genetic-Algorithm-based-approach/" rel="permalink">Ant-Movement-Simulator-using-Genetic-Algorithm-based-approach</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Automatic-Polyp-Detection-Semantic-Segmentation-Image-Inpainting-Specular-Reflection-Detection-Stom/Codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Automatic-Polyp-Detection-Semantic-Segmentation-Image-Inpainting-Specular-Reflection-Detection-Stom/" rel="permalink">Automatic Polyp Detection Semantic Segmentation Image Inpainting Specular Reflection Detection Stomach Disease Detection</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Blood-Vessels-Extraction-from-Fundus-Images-in-Matlab/Codes/" rel="permalink"></a>
  
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<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Blood-Vessels-Extraction-from-Fundus-Images-in-Matlab/" rel="permalink">Blood-Vessels-Extraction-from-Fundus-Images-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques/Benchmark Paper_Figures/" rel="permalink">Dataset used for this Project</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques/Code/Benchmark/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques/Code/" rel="permalink">This folder contains Codes for this Project</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques/" rel="permalink">EFFICIENT WAY TO DETECT BONE CANCER USING IMAGE SEGMENTATION-in-Matlab-using-Image-Processing-Techniques</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Brain-Tumor-Detection-and-Classification-GUI-based-App-in-Matlab/Codes/" rel="permalink">Codes</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Brain-Tumor-Detection-and-Classification-GUI-based-App-in-Matlab/" rel="permalink">Brain-Tumor-Detection-and-Classification-GUI-based-App-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection/" rel="permalink">Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection/Results/" rel="permalink">Results Folder</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection/codes/" rel="permalink">Codes for Computer-Vision-based-system-in-Matlab-for-Benign-and-Malignant-Classification-Skin-Lesion-Detection</a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/DOM-Creation-using-Computer-Vision-and-Machine-Learning-Approach/Codes/" rel="permalink">Codes</a>
  
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<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/DOM-Creation-using-Computer-Vision-and-Machine-Learning-Approach/" rel="permalink">DOM-Creation-using-Computer-Vision-and-Machine-Learning-Approach</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Diabetic-Retinopathy-Diseases-Classification-using-Deep-Learning/" rel="permalink">Diabetic-Retinopathy-Diseases-Classification-using-Deep-Learning</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Document-Classification-Based-on-Deep-Learning-in-Matlab/Codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Document-Classification-Based-on-Deep-Learning-in-Matlab/" rel="permalink">Document-Classification-Based-on-Deep-Learning-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Driver-Drowsiness-Detection-using-Computer-Vision-in-Matlab/" rel="permalink">Driver Drowsiness Detection using Computer Vision in Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Driver-Drowsiness-Detection-using-Computer-Vision-in-Matlab/codes/DS/" rel="permalink">Video Dataset or from Camera</a>
  
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<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Driver-Drowsiness-Detection-using-Computer-Vision-in-Matlab/codes/" rel="permalink">This folder contains codes</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Fake-News-Detection-using-Different-Machine-Learning-Classifiers/" rel="permalink">Fake-News-Detection-using-Different-Machine-Learning-Classifiers</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Fake-News-Detection-using-Different-Machine-Learning-Classifiers/data/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Heart-Vein-Blockage-Detection/" rel="permalink">An Artificial Intelligence Based Automatic Detection of Veins Blockage</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Denoising-Using-Contourlet-based-Feature-Pyramid/" rel="permalink">Image-Denoising-Using-Contourlet-based-Feature-Pyramid</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Denoising-Using-Contourlet-based-Feature-Pyramid/contourlet/contourlet-transform/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Denoising-Using-Contourlet-based-Feature-Pyramid/contourlet/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Fusion-based-on-correlation-in-MATLAB/Codes/" rel="permalink"></a>
  
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    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Fusion-based-on-correlation-in-MATLAB/Dataset/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Fusion-based-on-correlation-in-MATLAB/" rel="permalink">Image-Fusion-based-on-correlation-in-MATLAB</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Matching-using-Point-Features-and-Epiploar-Lines-in-Matlab/" rel="permalink">Image-Matching-using-Point-Features-and-Epiploar-Lines-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Matching-using-Point-Features-and-Epiploar-Lines-in-Matlab/codes/python-code/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Matching-using-Point-Features-and-Epiploar-Lines-in-Matlab/codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Stitching-using-SIFT-features-for-Panorama-Creation-in-Matlab/" rel="permalink">Image-Stitching-using-SIFT-features-for-Panorama-Creation-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Image-Stitching-using-SIFT-features-for-Panorama-Creation-in-Matlab/codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Implementation-of-Graph-Neural-Network-in-Python-on-MNIST-Dataset/" rel="permalink">Implementation-of-Graph-Neural-Network-in-Python-on-MNIST-Dataset</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Implementation-of-Graph-Neural-Network-in-Python-on-MNIST-Dataset/codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/Codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/Dataset/Groundtruth/" rel="permalink">Description</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/Dataset/" rel="permalink">Description</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Low-Light-Image-Enhancements-using-Matlab/" rel="permalink">Low-Light-Image-Enhancements-using-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/Codes/" rel="permalink">This folder contains codes for Lungs Nodule Detection and Classification</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/" rel="permalink">Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/dataset/detection/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images/dataset/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Neural-Network-Based-Automatic-Fruit-Classification/" rel="permalink">Neural-Network-Based-Automatic-Fruit-Classification</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/PSO-implementation-and-Ensemble-Learning-Models-to-predict-Heart-Diseases/" rel="permalink">PSO implementation and Ensemble Learning Models to predict Heart Diseases</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Patch-Based-Image-Enhancements-in-Matlab-CLAHE/" rel="permalink">Patch-Based-Image-Enhancements-in-Matlab-CLAHE</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Person-Re-Identification-using-Multiple-Cams-in-Matlab/Codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Person-Re-Identification-using-Multiple-Cams-in-Matlab/" rel="permalink">Person-Re-Identification-using-Multiple-Cams-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Polynomial-Regression-based-on-Deep-Learning-in-Matlab/" rel="permalink">Polynomial-Regression-based-on-Deep-Learning-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Polynomial-Regression-based-on-Deep-Learning-in-Matlab/codes/" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Pretext-Task-Analysis-in-Self-Supervised-Feature-Learning-and-Image-Colorization-using-GAN/" rel="permalink">Pretext-Task-Analysis-in-Self-Supervised-Feature-Learning-and-Image-Colorization-using-GAN</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/" rel="permalink">RESEARCH PROJECTS (Completed as Freelancer) 🏭 :</a>
  
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<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Region-based-active-contour-JSEG-fusion-technique-for-skin-lesion-segmentation-from-dermoscopic-imag/" rel="permalink">Region-based-active-contour-JSEG-fusion-technique-for-skin-lesion-segmentation-from-dermoscopic-imag</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//files/project_completed/Skin-Segmentation-from-Face-Images-using-DLIB-information-in-Matlab/" rel="permalink">Skin-Segmentation-from-Face-Images-using-DLIB-information-in-Matlab</a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//markdown_generator/" rel="permalink">Jupyter notebook markdown generator</a>
  
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<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//feed.xml" rel="permalink"></a>
  
</h2>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//sitemap.xml" rel="permalink"></a>
  
</h2>
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    <a href="https://rashidrao-pk.github.io//robots.txt" rel="permalink"></a>
  
</h2>

Posts

portfolio

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    <a href="https://rashidrao-pk.github.io//portfolio/portfolio-1/" rel="permalink">Portfolio item number 1 </a>
  
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<p class="archive__item-excerpt" itemprop="description"><p>Short description of portfolio item number 1<br /><img src="/images/500x300.png" /></p>

</p>

publications

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    <a href="https://rashidrao-pk.github.io//publication/p10_anomaly_detection_xai" rel="permalink">Can I trust my anomaly detection system? A case study based on explainable AI </a>
  
</h2>



    
      <p>Published in <i>xAI 2024 | Explainable Artificial Intelligence</i>, 2024 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>A Case study to highlight use of VAE-GAN based Gen-AI approach to detect Anomalies in Industrial Inspection systems.</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>In World Conference on Explainable Artificial Intelligence, pp. 243-254. Cham: Springer Nature Switzerland, 2024</i>.<br /><a href="http://rashidrao-pk.github.io/files/anomaly_detection_xai_w_paper.pdf">Download Paper</a> | <a href="http://rashidrao-pk.github.io/files/anomaly_detection_xai_w_slides.pdf">Download Slides</a></p>
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    <a href="https://rashidrao-pk.github.io//publication/p11_ShapBPT" rel="permalink">ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees </a>
  
</h2>



    
      <p>Published in <i>AAAI-26 | 40th Annual AAAI Conference on Artificial Intelligence</i>, 2026 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>A Novel XAI method to integrate the Data Aware Method (BPT) into Generating Image Features Attributions</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2026). &quot;.&quot; <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. 40.<br /><a href="https://www.arxiv.org/abs/2602.07047">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p1_ObDC" rel="permalink">Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features </a>
  
</h2>



    
      <p>Published in <i>Multimedia Tools and Applications</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>In Multimedia Tools and Applications</i>.<br /><a href="https://link.springer.com/article/10.1007/s11042-018-7031-0">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p2_classification_GIT" rel="permalink">Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection </a>
  
</h2>



    
      <p>Published in <i>Multimedia Tools and Applications</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>In Multimedia Tools and Applications </i>.<br /><a href="https://link.springer.com/article/10.1007/s11042-019-07875-9">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p3_sustainable_OD" rel="permalink">A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection </a>
  
</h2>



    
      <p>Published in <i>Sustainability</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>In Sustainability</i>.<br /><a href="https://www.mdpi.com/2071-1050/12/12/5037">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p4_integrated_skin_lesion" rel="permalink">An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection </a>
  
</h2>



    
      <p>Published in <i>Neural Computing and Applications </i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2020). &quot;.&quot; <i>In Neural Computing and Applications </i>.<br /><a href="https://link.springer.com/article/10.1007/s00521-019-04514-0">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p5_breast_cancer" rel="permalink">An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set </a>
  
</h2>



    
      <p>Published in <i>Current Medical Imaging</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2021). &quot;.&quot; <i>In Current Medical Imaging.</i>.<br /><a href="https://www.benthamdirect.com/content/journals/cmir/10.2174/1573405616666200423085826">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p6_DCNN_endoscopic" rel="permalink">Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images </a>
  
</h2>



    
      <p>Published in <i>Journal of Experimental & Theoretical Artificial Intelligence</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2019). &quot;.&quot; <i>In Journal of Experimental & Theoretical Artificial Intelligence </i>.<br /><a href="https://www.tandfonline.com/doi/abs/10.1080/0952813X.2019.1572657">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p7_region_jseg" rel="permalink">Region-based active contour JSEG fusion technique for skin lesion segmentation from dermoscopic images </a>
  
</h2>



    
      <p>Published in <i>Biomedical Research</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>Region-based active contour JSEG fusion technique for skin lesion segmentation from dermoscopic images</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2019). &quot;.&quot; <i>In Biomedical Research</i>.<br /><a href="https://1stdirectory.co.uk/_assets/files_comp/ad6f229c-84db-4857-a481-2f6e9377461d.pdf">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p8_unet_model" rel="permalink">A novel light u-net model for left ventricle segmentation using MRI </a>
  
</h2>



    
      <p>Published in <i>Mathematics</i>, 1900 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>A novel light u-net model for left ventricle segmentation using MRI</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>In Mathematics 11, no. 14 (2023): 3245.</i>.<br /><a href="https://www.mdpi.com/2227-7390/11/14/3245">Download Paper</a></p>
<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//publication/p9_lime_stratified" rel="permalink">Using Stratified Sampling to Improve LIME Image Explanations </a>
  
</h2>



    
      <p>Published in <i>AAAI-24 - 38th AAAI Conference on Artificial Intelligence</i>, 2024 </p>
    


<p class="archive__item-excerpt" itemprop="description"><p>A improved version of LIME to generate meaninful explanations when LIME degenerates meaningless explanations.</p>

</p>

  <p>Recommended citation: Rashid,Muhammad et al. (2024). &quot;.&quot; <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. 38(13).<br /><a href="http://rashidrao-pk.github.io/files/st_lime_paper.pdf">Download Paper</a> | <a href="http://rashidrao-pk.github.io/files/st_lime_slides.pdf">Download Slides</a></p>

talks

<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//talks/lime_stratified_aaai" rel="permalink">Using Stratified Sampling to Improve LIME Image Explanations </a>
  
</h2>



    
     <p class="page__date"><strong><i class="fa fa-fw fa-calendar" aria-hidden="true"></i> Published:</strong> <time datetime="2024-02-21T00:00:00+00:00">February 21, 2024</time></p>
    


<p class="archive__item-excerpt" itemprop="description"><p>We investigate the use of a stratified sampling approach for LIME Image, a popular model-agnostic explainable AI method for computer vision tasks, in order to reduce the artifacts generated by typical Monte Carlo sampling. Such artifacts are due to the undersampling of the dependent variable in the synthetic neighborhood around the image being explained, which may result in inadequate explanations due to the impossibility of fitting a linear regressor on the sampled data. We then highlight a connection with the Shapley theory, where similar arguments about undersampling and sample relevance were suggested in the past. We derive all the formulas and adjustment factors required for an unbiased stratified sampling estimator. Experiments show the efficacy of the proposed approach..</p>

</p>

<h2 class="archive__item-title" itemprop="headline">
  
    <a href="https://rashidrao-pk.github.io//talks/anomaly_detection_talk_xai_w" rel="permalink">Can I trust my anomaly detection system? A case study based on explainable AI </a>
  
</h2>



    
     <p class="page__date"><strong><i class="fa fa-fw fa-calendar" aria-hidden="true"></i> Published:</strong> <time datetime="2024-07-17T00:00:00+00:00">July 17, 2024</time></p>
    


<p class="archive__item-excerpt" itemprop="description"><p>Generative models based on variational autoencoders are a popular technique for detecting anomalies in images in a semi-supervised context. A common approach employs the anomaly score to detect the presence of anomalies, and it is known to reach high level of accuracy on benchmark datasets. However, since anomaly scores are computed from reconstruction disparities, they often obscure the detection of various spurious features, raising concerns regarding their actual efficacy.  This case study explores the robustness of an anomaly detection system based on variational autoencoder generative models through the use of eXplainable AI methods. The goal is to get a different perspective on the real performances of anomaly detectors that use reconstruction differences. In our case study we discovered that, in many cases, samples are detected as anomalous for the wrong or misleading factors.</p>

</p>

teaching