24 citations · 37 across the 9 of their papers we have counts for
12 papers
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…
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…
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…
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…
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…
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…
A comparison of primary stakeholders'views on the deployment of biometric technologies in border management: Case study of SMart mobILity at the European land borders
Mohamed Abomhara, Sule Yildirim Yayilgan, Livinus Obiora Nweke +1
Advances in technology have a substantial impact on every aspect of our lives, ranging from the way we communicate to the way we travel. The Smart mobility at the European land bor…
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
A. Mohammed, I. Farup, M. Pedersen +2
We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule…
Data Privacy in IoT Equipped Future Smart Homes
Athar Khodabakhsh, Sule Yildirim Yayilgan
Smart devices are becoming inseparable from daily lives and are improving fast for providing intelligent services and remote monitoring and control. In order to provide personalize…
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
Tomáš Majtner, Buda Bajić, Sule Yildirim +3
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images. The proposed solution is based on deep learning, where we em…
Y-Net: A deep Convolutional Neural Network for Polyp Detection
Ahmed Mohammed, Sule Yildirim, Ivar Farup +2
Colorectal polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of cruc…
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance
Vivek Sharma, Sule Yildirim-Yayilgan, Luc Van Gool
We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to improve human & object segmentat…