activity
20162026
most citedPS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data

24 citations · 28 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2026

From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models

Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba +2

The quality of diabetic retinopathy (DR) screening relies on the ability to correctly grade severity; however, many deep-learning (DL) classifiers cannot be easily interpreted in t…

cs.LG2026

Transformer-Based Multi-Modal Temporal Embeddings for Explainable Metabolic Phenotyping in Type 1 Diabetes

Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba +2

Type 1 diabetes (T1D) is a highly metabolically heterogeneous disease that cannot be adequately characterized by conventional biomarkers such as glycated hemoglobin (HbA1c). This s…

cs.CV20224 cited

When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection

Ying Xu, Sule Yildirim Yayilgan

The accelerated growth in synthetic visual media generation and manipulation has now reached the point of raising significant concerns and posing enormous intimidations towards soc…

cs.CY2022

Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute

Mohamed Abomhara, Sule Yildirim Yayilgan, Marina Shalaginova +1

This paper discusses concerns pertaining to the absoluteness of the right to privacy regarding the use of biometric data for border control. The discussion explains why privacy can…

cs.CY2022

How to Do It Right: A Framework for Biometrics Supported Border Control

Mohamed Abomhara, Sule Yildirim Yayilgan, Anne Hilde Nymoen +3

Complying with the European Union (EU) perspective on human rights goes or should go together with handling ethical, social and legal challenges arising due to the use of biometric…

cs.CR2022

An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE

Mohamed Abomhara, Sule Yildirim Yayilgan

Biometric recognition is a highly adopted technology to support different kinds of applications, ranging from security and access control applications to low enforcement applicatio…