Publications

Google Scholar Research Map

1. 

   ShapBPT in Perspective: A Consolidated Review and an eXplainable Anomaly Detection Case Study conferences

   Published in QualITA Workshop | ICPE 2026 (ACM), 2026

   A consolidated review of ShapBPT and its application to explainable anomaly detection.

   Publication Page Paper Code

   Research Area: Explainable AI, Anomaly Detection, Computer Vision

   Subcategory: XAI for Anomaly Detection, Shapley-based Explanations, Visual Anomaly Detection

2. 

   Improving Trust in Safety-Critical AI Systems: Explainable AI and Anomaly Detection Frameworks for Human Safety in Smart Industries thesis

   Published in University of Torino, 2026

   PhD thesis on explainable AI, Shapley-based visual explanations, and anomaly detection frameworks for safety-critical industrial systems.

   Publication Page PDF

   Research Area: Explainable AI, Anomaly Detection, Computer Vision, Industrial AI

   Subcategory: Explainable Computer Vision, Shapley-based Explanations, Visual Anomaly Detection, Industrial Safety Systems

3. 

   ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees conferences

   Published in AAAI-26 | 40th Annual AAAI Conference on Artificial Intelligence, 2026

   A data-aware XAI method for image feature attribution using Binary Partition Trees and hierarchical Shapley values.

   Publication Page Paper arXiv Code Tests PyPI Docs User Study Poster

   Research Area: Explainable AI, Computer Vision

   Subcategory: Image Feature Attribution, Shapley Values, Binary Partition Trees

4. 

   Acute Lymphoblastic Leukemia Classification: Deep Learning Techniques for Blood Diseases Diagnosis journals

   Published in Journal of Computing & Biomedical Informatics, 2025

   Deep learning-based classification of Acute Lymphoblastic Leukemia from peripheral blood smear images using EfficientNetB3.

   Publication Page Paper PDF

   Research Area: Medical Imaging, Deep Learning, Computer Vision

   Subcategory: Leukemia Classification, Biomedical Image Classification, EfficientNet

5. 

   Can I trust my anomaly detection system? A case study based on explainable AI conferences

   Published in xAI 2024 | Explainable Artificial Intelligence, 2024

   A Case study to highlight use of VAE-GAN based Gen-AI approach to detect Anomalies in Industrial Inspection systems.

   Publication Page Paper arXiv Code Slides

   Research Area: Explainable AI, Anomaly Detection

   Subcategory: Explainable Anomaly Detection, Trustworthy AI

6. 

   Using Stratified Sampling to Improve LIME Image Explanations conferences

   Published in AAAI-24 - 38th AAAI Conference on Artificial Intelligence, 2024

   A improved version of LIME to generate meaninful explanations when LIME degenerates meaningless explanations.

   Publication Page Paper arXiv Code Tests PyPI Slides

   Research Area: Explainable AI

   Subcategory: LIME, Perturbation-based Explanations, Explanation Stability

7. 

   A Novel Light U-Net Model for Left Ventricle Segmentation Using MRI journals

   Published in Mathematics (MDPI), 2023

   Lightweight U-Net model for left ventricle segmentation from MRI images.

   Publication Page Paper PDF

   Research Area: Medical Imaging, Computer Vision, Deep Learning

   Subcategory: Medical Image Segmentation, MRI Analysis, U-Net Architecture

8. 

   An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set journals

   Published in Current Medical Imaging (Bentham Science), 2021

   Breast cancer classification using hybrid feature extraction from histopathological images.

   Publication Page Paper

   Research Area: Medical Imaging, Computer Vision, Machine Learning

   Subcategory: Breast Cancer Classification, Histopathological Image Analysis, Hybrid Feature Engineering

9. 

   A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection journals

   Published in Sustainability (MDPI), 2020

   A deep learning framework for object recognition using multi-layer feature fusion and feature selection.

   Publication Page Paper PDF Code

   Research Area: Computer Vision, Deep Learning, Machine Learning

   Subcategory: Object Recognition, Deep Feature Fusion, Feature Selection

10. 

    An Integrated Framework of Skin Lesion Detection and Recognition through Saliency Method and Optimal Deep Neural Network Feature Selection journals

    Published in Neural Computing and Applications (Springer), 2019

    Skin lesion detection and classification using saliency-based segmentation and optimal deep feature selection.

    Publication Page Paper PDF

    Research Area: Medical Imaging, Computer Vision, Deep Learning

    Subcategory: Skin Lesion Detection, Dermoscopic Image Analysis, Feature Selection

11. 

    Region-Based Active Contour JSEG Fusion Technique for Skin Lesion Segmentation from Dermoscopic Images journals

    Published in Biomedical Research, 2019

    Skin lesion segmentation using region-based active contour and JSEG fusion techniques.

    Publication Page Paper PDF

    Research Area: Medical Imaging, Computer Vision, Image Segmentation

    Subcategory: Skin Lesion Segmentation, Dermoscopic Image Analysis, Active Contour Methods

12. 

    Classification of Gastrointestinal Diseases of Stomach from WCE Using Improved Saliency-Based Method and Discriminant Feature Selection journals

    Published in Multimedia Tools and Applications (Springer), 2019

    Gastrointestinal disease classification from wireless capsule endoscopy images using saliency-based segmentation and discriminant feature selection.

    Publication Page Paper PDF

    Research Area: Medical Imaging, Computer Vision, Machine Learning

    Subcategory: Gastrointestinal Disease Classification, WCE Image Analysis, Feature Selection

13. 

    Object Detection and Classification Based on Feature Fusion and Deep Convolutional Neural Network thesis

    Published in COMSATS University Islamabad, Wah Campus, 2019

    Master’s thesis on object detection and classification using deep convolutional neural networks, SIFT point features, feature fusion, and entropy-based feature selection.

    Research Area: Computer Vision, Deep Learning

    Subcategory: Object Detection, Object Classification, Feature Fusion, Deep CNN

14. 

    Deep CNN and Geometric Features-Based Gastrointestinal Tract Diseases Detection and Classification from Wireless Capsule Endoscopy Images journals

    Published in Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis), 2019

    Gastrointestinal disease detection and classification from WCE images using deep CNN and geometric feature fusion.

    Publication Page Paper PDF

    Research Area: Medical Imaging, Computer Vision, Deep Learning

    Subcategory: Gastrointestinal Disease Detection, WCE Image Analysis, CNN Feature Fusion

15. 

    Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features journals

    Published in Multimedia Tools and Applications (Springer), 2018

    Object detection and classification using hybrid fusion of CNN and SIFT features.

    Publication Page Paper PDF Code

    Research Area: Computer Vision, Machine Learning, Deep Learning

    Subcategory: Object Detection, Feature Fusion, Hybrid Models

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