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DistriMuSe — Safe Interaction with Robots

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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

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Research Area: Computer Vision, Machine Learning, Deep Learning

Subcategory: Object Detection, Feature Fusion, Hybrid Models

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

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Research Area: Medical Imaging, Computer Vision, Deep Learning

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

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

Published in COMSATS University Islamabad, Wah Campus, 2019

Research Area: Computer Vision, Deep Learning

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

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

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Research Area: Medical Imaging, Computer Vision, Machine Learning

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

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

Published in Biomedical Research, 2019

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Research Area: Medical Imaging, Computer Vision, Image Segmentation

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

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

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Research Area: Medical Imaging, Computer Vision, Deep Learning

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

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

Published in Sustainability (MDPI), 2020

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Research Area: Computer Vision, Deep Learning, Machine Learning

Subcategory: Object Recognition, Deep Feature Fusion, Feature Selection

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

Published in Current Medical Imaging (Bentham Science), 2021

Paper

Research Area: Medical Imaging, Computer Vision, Machine Learning

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

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

Published in Mathematics (MDPI), 2023

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Research Area: Medical Imaging, Computer Vision, Deep Learning

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

Using Stratified Sampling to Improve LIME Image Explanations conferences

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

Paper Code Tests PyPI Slides

Research Area: Explainable AI

Subcategory: LIME, Perturbation-based Explanations, Explanation Stability

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

Published in xAI 2024 | Explainable Artificial Intelligence, 2024

Paper arXiv Code Slides

Research Area: Explainable AI, Anomaly Detection

Subcategory: Explainable Anomaly Detection, Trustworthy AI

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

Published in Journal of Computing & Biomedical Informatics, 2025

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Research Area: Medical Imaging, Deep Learning, Computer Vision

Subcategory: Leukemia Classification, Biomedical Image Classification, EfficientNet

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

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

Paper arXiv Code Tests PyPI User Study Poster

Research Area: Explainable AI, Computer Vision

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

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

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

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

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

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

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Research Area: Explainable AI, Anomaly Detection, Computer Vision

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

Using Stratified Sampling to Improve LIME Image Explanations

Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI

Paper Code

Unexpected Condition Detector for Industrial Safety using Deep Generative Models

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

Paper arXiv Code Tests PyPI Poster

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

Paper Code

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