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Posts
portfolio
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"https://rashidrao-pk.github.io//images/../files/projects/advis.png"
alt="DistriMuSe — Safe Interaction with Robots">
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</h2>
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publications
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/thesis/ms_thesis.jpg"
alt="Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features">
</div>
<div class="pub-content">
<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Multimedia Tools and Applications (Springer)</i>,
2018
</p>
<p class="pub-buttons">
<a href="https://link.springer.com/article/10.1007/s11042-018-7031-0" class="custom-btn btn-paper">Paper</a>
<a href="https://link.springer.com/content/pdf/10.1007/s11042-018-7031-0.pdf" class="custom-btn btn-paper">PDF</a>
<a href="https://github.com/rashidrao-pk/sustainable-object-detection-DCNN" class="custom-btn btn-code">Code</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Computer Vision, Machine Learning, Deep Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Object Detection, Feature Fusion, Hybrid Models
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#object-detection" class="tag">object detection</a>
<a href="https://rashidrao-pk.github.io//tags/#classification" class="tag">classification</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#cnn" class="tag">CNN</a>
<a href="https://rashidrao-pk.github.io//tags/#sift" class="tag">SIFT</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-fusion" class="tag">feature fusion</a>
<a href="https://rashidrao-pk.github.io//tags/#hybrid-methods" class="tag">hybrid methods</a>
</p>
-->
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<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis)</i>,
2019
</p>
<p class="pub-buttons">
<a href="https://www.tandfonline.com/doi/abs/10.1080/0952813X.2019.1572657" class="custom-btn btn-paper">Paper</a>
<a href="https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2019.1572657" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Deep Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Gastrointestinal Disease Detection, WCE Image Analysis, CNN Feature Fusion
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#medical-imaging" class="tag">medical imaging</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#cnn" class="tag">CNN</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-fusion" class="tag">feature fusion</a>
<a href="https://rashidrao-pk.github.io//tags/#wce" class="tag">WCE</a>
<a href="https://rashidrao-pk.github.io//tags/#gastrointestinal-diseases" class="tag">gastrointestinal diseases</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/thesis/ms_thesis.jpg"
alt="Object Detection and Classification Based on Feature Fusion and Deep Convolutional Neural Network">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//publication/p7_MS_thesis/" rel="permalink">Object Detection and Classification Based on Feature Fusion and Deep Convolutional Neural Network </a> -->
<a href="https://rashidrao-pk.github.io//publication/p7_MS_thesis/" rel="permalink">Object Detection and Classification Based on Feature Fusion and Deep Convolutional Neural Network </a>
<span class="pub-category-badge pub-category-thesis">
thesis
</span>
</h2>
<p>
Published in <i>COMSATS University Islamabad, Wah Campus</i>,
2019
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Computer Vision, Deep Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Object Detection, Object Classification, Feature Fusion, Deep CNN
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#object-detection" class="tag">object detection</a>
<a href="https://rashidrao-pk.github.io//tags/#object-classification" class="tag">object classification</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#cnn" class="tag">CNN</a>
<a href="https://rashidrao-pk.github.io//tags/#sift" class="tag">SIFT</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-fusion" class="tag">feature fusion</a>
<a href="https://rashidrao-pk.github.io//tags/#alexnet" class="tag">AlexNet</a>
<a href="https://rashidrao-pk.github.io//tags/#vgg-19" class="tag">VGG-19</a>
<a href="https://rashidrao-pk.github.io//tags/#ensemble-classifier" class="tag">ensemble classifier</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/gastro_1.png"
alt="Classification of Gastrointestinal Diseases of Stomach from WCE Using Improved Saliency-Based Method and Discriminant Feature Selection">
</div>
<div class="pub-content">
<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 Feature Selection </a> -->
<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 Feature Selection </a>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Multimedia Tools and Applications (Springer)</i>,
2019
</p>
<p class="pub-buttons">
<a href="https://link.springer.com/article/10.1007/s11042-019-07875-9" class="custom-btn btn-paper">Paper</a>
<a href="https://link.springer.com/content/pdf/10.1007/s11042-019-07875-9.pdf" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Machine Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Gastrointestinal Disease Classification, WCE Image Analysis, Feature Selection
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#medical-imaging" class="tag">medical imaging</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#classification" class="tag">classification</a>
<a href="https://rashidrao-pk.github.io//tags/#gastrointestinal-diseases" class="tag">gastrointestinal diseases</a>
<a href="https://rashidrao-pk.github.io//tags/#wce" class="tag">WCE</a>
<a href="https://rashidrao-pk.github.io//tags/#saliency-methods" class="tag">saliency methods</a>
<a href="https://rashidrao-pk.github.io//tags/#image-segmentation" class="tag">image segmentation</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-selection" class="tag">feature selection</a>
<a href="https://rashidrao-pk.github.io//tags/#machine-learning" class="tag">machine learning</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/skin_cancer_2.png"
alt="Region-Based Active Contour JSEG Fusion Technique for Skin Lesion Segmentation from Dermoscopic Images">
</div>
<div class="pub-content">
<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Biomedical Research</i>,
2019
</p>
<p class="pub-buttons">
<a href="https://1stdirectory.co.uk/_assets/files_comp/ad6f229c-84db-4857-a481-2f6e9377461d.pdf" class="custom-btn btn-paper">Paper</a>
<a href="https://1stdirectory.co.uk/_assets/files_comp/ad6f229c-84db-4857-a481-2f6e9377461d.pdf" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Image Segmentation
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Skin Lesion Segmentation, Dermoscopic Image Analysis, Active Contour Methods
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#medical-imaging" class="tag">medical imaging</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#image-segmentation" class="tag">image segmentation</a>
<a href="https://rashidrao-pk.github.io//tags/#skin-lesion" class="tag">skin lesion</a>
<a href="https://rashidrao-pk.github.io//tags/#dermoscopy" class="tag">dermoscopy</a>
<a href="https://rashidrao-pk.github.io//tags/#active-contour" class="tag">active contour</a>
<a href="https://rashidrao-pk.github.io//tags/#region-based-segmentation" class="tag">region-based segmentation</a>
<a href="https://rashidrao-pk.github.io//tags/#jseg" class="tag">JSEG</a>
<a href="https://rashidrao-pk.github.io//tags/#hybrid-methods" class="tag">hybrid methods</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/skin_cancer_1.png"
alt="An Integrated Framework of Skin Lesion Detection and Recognition through Saliency Method and Optimal Deep Neural Network Feature Selection">
</div>
<div class="pub-content">
<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 Feature Selection </a> -->
<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 Feature Selection </a>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Neural Computing and Applications (Springer)</i>,
2019
</p>
<p class="pub-buttons">
<a href="https://link.springer.com/article/10.1007/s00521-019-04514-0" class="custom-btn btn-paper">Paper</a>
<a href="https://link.springer.com/content/pdf/10.1007/s00521-019-04514-0.pdf" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Deep Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Skin Lesion Detection, Dermoscopic Image Analysis, Feature Selection
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#medical-imaging" class="tag">medical imaging</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#skin-lesion" class="tag">skin lesion</a>
<a href="https://rashidrao-pk.github.io//tags/#dermoscopy" class="tag">dermoscopy</a>
<a href="https://rashidrao-pk.github.io//tags/#image-segmentation" class="tag">image segmentation</a>
<a href="https://rashidrao-pk.github.io//tags/#saliency-methods" class="tag">saliency methods</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-selection" class="tag">feature selection</a>
<a href="https://rashidrao-pk.github.io//tags/#classification" class="tag">classification</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/thesis/thesis_ms_2.jpg"
alt="A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection">
</div>
<div class="pub-content">
<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Sustainability (MDPI)</i>,
2020
</p>
<p class="pub-buttons">
<a href="https://www.mdpi.com/2071-1050/12/12/5037" class="custom-btn btn-paper">Paper</a>
<a href="https://www.mdpi.com/2071-1050/12/12/5037/pdf" class="custom-btn btn-paper">PDF</a>
<a href="https://github.com/rashidrao-pk/sustainable-object-detection-DCNN" class="custom-btn btn-code">Code</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Computer Vision, Deep Learning, Machine Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Object Recognition, Deep Feature Fusion, Feature Selection
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#object-recognition" class="tag">object recognition</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#transfer-learning" class="tag">transfer learning</a>
<a href="https://rashidrao-pk.github.io//tags/#cnn" class="tag">CNN</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-fusion" class="tag">feature fusion</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-selection" class="tag">feature selection</a>
<a href="https://rashidrao-pk.github.io//tags/#vgg19" class="tag">VGG19</a>
<a href="https://rashidrao-pk.github.io//tags/#inceptionv3" class="tag">InceptionV3</a>
<a href="https://rashidrao-pk.github.io//tags/#hybrid-methods" class="tag">hybrid methods</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/breast.png"
alt="An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set">
</div>
<div class="pub-content">
<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Current Medical Imaging (Bentham Science)</i>,
2021
</p>
<p class="pub-buttons">
<a href="https://www.benthamdirect.com/content/journals/cmir/10.2174/1573405616666200423085826" class="custom-btn btn-paper">Paper</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Machine Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Breast Cancer Classification, Histopathological Image Analysis, Hybrid Feature Engineering
</p>
<!--
<p class="pub-tags">
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/unet.png"
alt="A Novel Light U-Net Model for Left Ventricle Segmentation Using MRI">
</div>
<div class="pub-content">
<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> -->
<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>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Mathematics (MDPI)</i>,
2023
</p>
<p class="pub-buttons">
<a href="https://www.mdpi.com/2227-7390/11/14/3245" class="custom-btn btn-paper">Paper</a>
<a href="https://www.mdpi.com/2227-7390/11/14/3245/pdf" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Computer Vision, Deep Learning
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Medical Image Segmentation, MRI Analysis, U-Net Architecture
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#medical-imaging" class="tag">medical imaging</a>
<a href="https://rashidrao-pk.github.io//tags/#image-segmentation" class="tag">image segmentation</a>
<a href="https://rashidrao-pk.github.io//tags/#mri" class="tag">MRI</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#cnn" class="tag">CNN</a>
<a href="https://rashidrao-pk.github.io//tags/#u-net" class="tag">U-Net</a>
<a href="https://rashidrao-pk.github.io//tags/#biomedical-imaging" class="tag">biomedical imaging</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/LIME-Image-workflow.png"
alt="Using Stratified Sampling to Improve LIME Image Explanations">
</div>
<div class="pub-content">
<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> -->
<a href="https://rashidrao-pk.github.io//publication/p9_lime_stratified" rel="permalink">Using Stratified Sampling to Improve LIME Image Explanations </a>
<span class="pub-category-badge pub-category-conferences">
conferences
</span>
</h2>
<p>
Published in <i>AAAI-24 - 38th AAAI Conference on Artificial Intelligence</i>,
2024
</p>
<p class="pub-buttons">
<a href="https://ojs.aaai.org/index.php/AAAI/article/view/29397" class="custom-btn btn-paper">Paper</a>
<a href="https://github.com/rashidrao-pk/lime_stratified" class="custom-btn btn-code">Code</a>
<a href="https://github.com/rashidrao-pk/lime-stratified-examples" class="custom-btn btn-tests">Tests</a>
<a href="https://pypi.org/project/lime-stratified/" class="custom-btn btn-pypi">PyPI</a>
<a href="https://rashidrao-pk.github.io/files/st_lime_slides.pdf" class="custom-btn btn-slides">Slides</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Explainable AI
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
LIME, Perturbation-based Explanations, Explanation Stability
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#xai" class="tag">XAI</a>
<a href="https://rashidrao-pk.github.io//tags/#lime" class="tag">LIME</a>
<a href="https://rashidrao-pk.github.io//tags/#stratified-sampling" class="tag">stratified sampling</a>
<a href="https://rashidrao-pk.github.io//tags/#image-explanations" class="tag">image explanations</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/anomaly_detection_xai.gif"
alt="Can I trust my anomaly detection system? A case study based on explainable AI">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <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> -->
<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>
<span class="pub-category-badge pub-category-conferences">
conferences
</span>
</h2>
<p>
Published in <i>xAI 2024 | Explainable Artificial Intelligence</i>,
2024
</p>
<p class="pub-buttons">
<a href="https://link.springer.com/chapter/10.1007/978-3-031-63803-9_13" class="custom-btn btn-paper">Paper</a>
<a href="https://arxiv.org/abs/2407.19951" class="custom-btn btn-arxiv">arXiv</a>
<a href="https://github.com/rashidrao-pk/anomaly_detection_trust_case_study" class="custom-btn btn-code">Code</a>
<a href="http://rashidrao-pk.github.io/files/anomaly_detection_xai_w_slides.pdf" class="custom-btn btn-slides">Slides</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Explainable AI, Anomaly Detection
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Explainable Anomaly Detection, Trustworthy AI
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#xai" class="tag">XAI</a>
<a href="https://rashidrao-pk.github.io//tags/#anomaly-detection" class="tag">anomaly detection</a>
<a href="https://rashidrao-pk.github.io//tags/#vae-gan" class="tag">VAE-GAN</a>
<a href="https://rashidrao-pk.github.io//tags/#industrial-ai" class="tag">industrial AI</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/lukemia.png"
alt="Acute Lymphoblastic Leukemia Classification: Deep Learning Techniques for Blood Diseases Diagnosis">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//publication/p11_lukemia" rel="permalink">Acute Lymphoblastic Leukemia Classification: Deep Learning Techniques for Blood Diseases Diagnosis </a> -->
<a href="https://rashidrao-pk.github.io//publication/p11_lukemia" rel="permalink">Acute Lymphoblastic Leukemia Classification: Deep Learning Techniques for Blood Diseases Diagnosis </a>
<span class="pub-category-badge pub-category-journals">
journals
</span>
</h2>
<p>
Published in <i>Journal of Computing & Biomedical Informatics</i>,
2025
</p>
<p class="pub-buttons">
<a href="https://www.jcbi.org/index.php/Main/article/view/1033" class="custom-btn btn-paper">Paper</a>
<a href="https://www.jcbi.org/index.php/Main/article/view/1033/720" class="custom-btn btn-paper">PDF</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Medical Imaging, Deep Learning, Computer Vision
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Leukemia Classification, Biomedical Image Classification, EfficientNet
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#leukemia" class="tag">leukemia</a>
<a href="https://rashidrao-pk.github.io//tags/#acute-lymphoblastic-leukemia" class="tag">acute lymphoblastic leukemia</a>
<a href="https://rashidrao-pk.github.io//tags/#efficientnetb3" class="tag">EfficientNetB3</a>
<a href="https://rashidrao-pk.github.io//tags/#deep-learning" class="tag">deep learning</a>
<a href="https://rashidrao-pk.github.io//tags/#medical-image-analysis" class="tag">medical image analysis</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/Fig1_explain_bpt-1.png"
alt="ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//publication/p12_ShapBPT" rel="permalink">ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees </a> -->
<a href="https://rashidrao-pk.github.io//publication/p12_ShapBPT" rel="permalink">ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees </a>
<span class="pub-category-badge pub-category-conferences">
conferences
</span>
</h2>
<p>
Published in <i>AAAI-26 | 40th Annual AAAI Conference on Artificial Intelligence</i>,
2026
</p>
<p class="pub-buttons">
<a href="https://ojs.aaai.org/index.php/AAAI/article/view/39699" class="custom-btn btn-paper">Paper</a>
<a href="https://www.arxiv.org/abs/2602.07047" class="custom-btn btn-arxiv">arXiv</a>
<a href="https://github.com/amparore/shap_bpt" class="custom-btn btn-code">Code</a>
<a href="https://github.com/rashidrao-pk/shap_bpt_tests" class="custom-btn btn-tests">Tests</a>
<a href="https://pypi.org/project/shap-bpt/" class="custom-btn btn-pypi">PyPI</a>
<a href="https://huggingface.co/spaces/rashidrao/shapbpt-user-study" class="custom-btn btn-demo">User Study</a>
<a href="https://rashidrao-pk.github.io/files/AAAI_26_poster.pdf" class="custom-btn btn-poster">Poster</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Explainable AI, Computer Vision
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Image Feature Attribution, Shapley Values, Binary Partition Trees
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#xai" class="tag">XAI</a>
<a href="https://rashidrao-pk.github.io//tags/#shapbpt" class="tag">ShapBPT</a>
<a href="https://rashidrao-pk.github.io//tags/#shapley-values" class="tag">Shapley values</a>
<a href="https://rashidrao-pk.github.io//tags/#bpt" class="tag">BPT</a>
<a href="https://rashidrao-pk.github.io//tags/#feature-attribution" class="tag">feature attribution</a>
</p>
-->
</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/thesis/contributions.svg"
alt="Improving Trust in Safety-Critical AI Systems: Explainable AI and Anomaly Detection Frameworks for Human Safety in Smart Industries">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//publication/p14_phd_thesis/" rel="permalink">Improving Trust in Safety-Critical AI Systems: Explainable AI and Anomaly Detection Frameworks for Human Safety in Smart Industries </a> -->
<a href="https://rashidrao-pk.github.io//publication/p14_phd_thesis/" rel="permalink">Improving Trust in Safety-Critical AI Systems: Explainable AI and Anomaly Detection Frameworks for Human Safety in Smart Industries </a>
<span class="pub-category-badge pub-category-thesis">
thesis
</span>
</h2>
<p>
Published in <i>University of Torino</i>,
2026
</p>
<p class="pub-buttons">
<a href="https://iris.unito.it/handle/2318/2137472" class="custom-btn btn-paper">PDF</a>
<a href="https://github.com/rashidrao-pk" class="custom-btn btn-code">Code</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Explainable AI, Anomaly Detection, Computer Vision, Industrial AI
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
Explainable Computer Vision, Shapley-based Explanations, Visual Anomaly Detection, Industrial Safety Systems
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#explainable-ai" class="tag">Explainable AI</a>
<a href="https://rashidrao-pk.github.io//tags/#xai" class="tag">XAI</a>
<a href="https://rashidrao-pk.github.io//tags/#shap" class="tag">SHAP</a>
<a href="https://rashidrao-pk.github.io//tags/#lime" class="tag">LIME</a>
<a href="https://rashidrao-pk.github.io//tags/#shapbpt" class="tag">ShapBPT</a>
<a href="https://rashidrao-pk.github.io//tags/#anomaly-detection" class="tag">anomaly detection</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#industrial-ai" class="tag">industrial AI</a>
<a href="https://rashidrao-pk.github.io//tags/#vae-gan" class="tag">VAE-GAN</a>
<a href="https://rashidrao-pk.github.io//tags/#industry-4-0" class="tag">Industry 4.0</a>
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</div>
<div class="pub-thumb">
<img src=
"https://rashidrao-pk.github.io//images/../files/papers_data/shapbpt_ad/Fig1_explain_bpt-Hazelnut.png"
alt="ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study">
</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//publication/p13_ShapBPT_AD" rel="permalink">ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study </a> -->
<a href="https://rashidrao-pk.github.io//publication/p13_ShapBPT_AD" rel="permalink">ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study </a>
<span class="pub-category-badge pub-category-conferences">
conferences
</span>
</h2>
<p>
Published in <i>QualITA Workshop | ICPE 2026 (ACM)</i>,
2026
</p>
<p class="pub-buttons">
<a href="https://dl.acm.org/doi/10.1145/3777911.3800638" class="custom-btn btn-paper">Paper</a>
<a href="https://github.com/rashidrao-pk/XAD" class="custom-btn btn-code">Code</a>
</p>
<p class="pub-meta">
<strong>Research Area:</strong>
Explainable AI, Anomaly Detection, Computer Vision
</p>
<p class="pub-meta">
<strong>Subcategory:</strong>
XAI for Anomaly Detection, Shapley-based Explanations, Visual Anomaly Detection
</p>
<!--
<p class="pub-tags">
<a href="https://rashidrao-pk.github.io//tags/#xai" class="tag">XAI</a>
<a href="https://rashidrao-pk.github.io//tags/#shapbpt" class="tag">ShapBPT</a>
<a href="https://rashidrao-pk.github.io//tags/#anomaly-detection" class="tag">anomaly detection</a>
<a href="https://rashidrao-pk.github.io//tags/#computer-vision" class="tag">computer vision</a>
<a href="https://rashidrao-pk.github.io//tags/#industrial-ai" class="tag">industrial AI</a>
<a href="https://rashidrao-pk.github.io//tags/#vae-gan" class="tag">VAE-GAN</a>
</p>
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</div>
talks
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<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> -->
<a href="https://rashidrao-pk.github.io//talks/lime_stratified_aaai" rel="permalink">Using Stratified Sampling to Improve LIME Image Explanations </a>
</h2>
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<p class="pub-tags">
</p>
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</div>
<div class="pub-content">
<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> -->
<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="pub-buttons">
<a href="https://arxiv.org/abs/2407.19951" class="custom-btn btn-paper">Paper</a>
<a href="https://github.com/rashidrao-pk/anomaly_detection_trust_case_study" class="custom-btn btn-code">Code</a>
</p>
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<p class="pub-tags">
</p>
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</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//talks/VAE_GAN_Models_DM" rel="permalink">Unexpected Condition Detector for Industrial Safety using Deep Generative Models </a> -->
<a href="https://rashidrao-pk.github.io//talks/VAE_GAN_Models_DM" rel="permalink">Unexpected Condition Detector for Industrial Safety using Deep Generative Models </a>
</h2>
<!--
<p class="pub-tags">
</p>
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</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//talks/shapbpt_aaai" rel="permalink">ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees </a> -->
<a href="https://rashidrao-pk.github.io//talks/shapbpt_aaai" rel="permalink">ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees </a>
</h2>
<p class="pub-buttons">
<a href="https://ojs.aaai.org/index.php/AAAI/article/view/39699" class="custom-btn btn-paper">Paper</a>
<a href="https://www.arxiv.org/abs/2602.07047" class="custom-btn btn-arxiv">arXiv</a>
<a href="https://github.com/amparore/shap_bpt" class="custom-btn btn-code">Code</a>
<a href="https://github.com/rashidrao-pk/shap_bpt_tests" class="custom-btn btn-tests">Tests</a>
<a href="https://pypi.org/project/shap-bpt/" class="custom-btn btn-pypi">PyPI</a>
<a href="https://rashidrao-pk.github.io/files/AAAI_26_poster.pdf" class="custom-btn btn-poster">Poster</a>
</p>
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<p class="pub-tags">
</p>
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</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//talks/qualita_shapbpt_xad" rel="permalink">ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study </a> -->
<a href="https://rashidrao-pk.github.io//talks/qualita_shapbpt_xad" rel="permalink">ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study </a>
</h2>
<p class="pub-buttons">
<a href="https://dl.acm.org/doi/10.1145/3777911.3800638" class="custom-btn btn-paper">Paper</a>
<a href="https://github.com/rashidrao-pk/XAD" class="custom-btn btn-code">Code</a>
</p>
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<p class="pub-tags">
</p>
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</div>
teaching
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<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//teaching/2014-spring-teaching-1" rel="permalink">Teaching experience 1 </a> -->
<a href="https://rashidrao-pk.github.io//teaching/2014-spring-teaching-1" rel="permalink">Teaching experience 1 </a>
</h2>
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<p class="pub-tags">
</p>
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</div>
<div class="pub-content">
<h2 class="archive__item-title" itemprop="headline">
<!-- <a href="https://rashidrao-pk.github.io//teaching/2015-spring-teaching-1" rel="permalink">Teaching experience 2 </a> -->
<a href="https://rashidrao-pk.github.io//teaching/2015-spring-teaching-1" rel="permalink">Teaching experience 2 </a>
</h2>
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<p class="pub-tags">
</p>
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