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

      Abomhara, Mohamed; Yildirim Yayilgan, Sule; Shalaginova, Marina; Székely, Zoltán (Chapter, 2020)
      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 cannot be absolute from different points of ...
    • Data-driven Intrusion Detection System for Small and Medium Enterprises 

      Elezaj, Ogerta; Yildirim Yayilgan, Sule; Abomhara, Mohamed Ali Saleh; Yeng, Prosper; Ahmed, Javed (Journal article; Peer reviewed, 2019)
      Small and Medium Enterprises (SMEs) have become targets of attack by cyber criminals in resent times. This paper therefore aim to address awareness and challenges of SMEs related to IDSs as the most important defense tool ...
    • Deep Smoke Removal from Minimally Invasive Surgery Videos 

      Bolkar, Sabri; Wang, Congcong; Alaya Cheikh, Faouzi; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      During video-guided minimally invasive surgery, quality of frames may be degraded severely by cauterization-induced smoke and condensation of vapor. This degradation of quality creates discomfort for the operating surgeon, ...
    • Deep-STRESS Capsule Video Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      This paper proposes a unified framework for capsule video endoscopy image enhancement with an objective to enhance the diagnostic values of these images. The proposed method is based on a hybrid approach of deep learning ...
    • Distribution of fiscal coupons via Genetic Algorithms and Greedy Randomized Adaptive Search Procedure 

      Sylejmani, Kadri; Hyseni, Qëndresë; Yildirim Yayilgan, Sule; Qurdina, Agon; Mula, Leke; Krasniqi, Bujar (Journal article; Peer reviewed, 2018)
      When customers buy goods or services from business entities they are usually given a receipt that is known with the name fiscal or tax coupon, which, among the others, contains details about the value of the transaction. ...
    • How to do it right: A framework for biometrics supported border control 

      Abomhara, Mohamed Ali Saleh; Yildirim Yayilgan, Sule; Nymoen, Anne Hilde Ruen; Shalaginova, Marina; Székely, Zoltán; Elezaj, Ogerta (Journal article; Peer reviewed, 2019)
      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 biometrics technology as border control technology. ...
    • Mobile-Based Painting Photo Retrieval using Combined Features 

      Companioni-Brito, Claudia; Mariano, Zygred; Elawady, Mohamed; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      In paintings or artworks, sharing a photo of a painting using mobile phone is simple and fast. However, searching for information about specific captured photo of an unknown painting takes time and is not easy. No previous ...
    • A Novel hybrid IDS based on modified NSGAII-ANN and Random Forest 

      Golrang, Anahita; Golrang, Alale; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2020)
      Machine-learning techniques have received popularity in the intrusion-detection systems in recent years. Moreover, the quality of datasets plays a crucial role in the development of a proper machine-learning approach. ...
    • Optimised Deep Learning Features for Improved Melanoma Detection 

      Majtner, Tomas; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      In this article, we are addressing the question of effective usage of the feature set extracted from deep learning models pre-trained on ImageNet. Exploring this option will offer very fast and attractive alternative to ...
    • Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm 

      Catak, Ferhat Özgur; Aydin, Ismail; Elezaj, Ogerta; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2020)
      The protection and processing of sensitive data in big data systems are common problems as the increase in data size increases the need for high processing power. Protection of the sensitive data on a system that contains ...
    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      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 endoscopy (VCE) data. Our proposed model ...
    • Security Analysis of Wireless BAN in e-Health 

      Muka, Romina; Yildirim Yayilgan, Sule; Sevrani, Kozeta (Journal article; Peer reviewed, 2017)
      The Wireless Body Area Network (WBAN) has gained popularity as a new technology for e-Health, and is considered as one of the key research areas in computer science and healthcare applications. WBAN collects patients’ data, ...
    • Stochastic Capsule Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed ...
    • StreoScenNet: Surgical stereo robotic scene segmentation 

      Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2019)
      Surgical robot technology has revolutionized surgery toward a safer laparoscopic surgery and ideally been suited for surgeries requiring minimal invasiveness. Sematic segmentation from robot-assisted surgery videos is an ...
    • The impact of deep learning on document classification using semantically rich representations 

      Kastrati, Zenun; Imran, Ali Shariq; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2019)
      This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules ...
    • The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification using Both Hand-Crafted and Deep Features 

      Melit Devassy, Binu; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      Melanoma is the deadliest form of skin cancer and it is the most rapidly spreading cancer in the world. An earlier detection of this kind of cancer is curable; hence, earlier detection of melanoma is pre-eminent. Because ...
    • Towards Blockchain-based GDPR compliant Online Social Networks: Challenges, Opportunities and Way Forward 

      Ahmed, Javeed; Yildirim Yayilgan, Sule; Ramachandra, Raghavendra; Abomhara, Mohamed Ali Saleh; Nowostawski, Mariusz (Peer reviewed; Journal article, 2019)
      Online Social Networks (OSNs) are very popular and widely adopted by the vast majority of Internet users across the globe. Recent scandals on the abuse of users’ personal information via these platforms have raised serious ...
    • Towards Designing a Knowledge Graph-Based Framework for Investigating and Preventing Crime on Online Social Networks 

      Elezaj, Ogerta; Yildirim Yayilgan, Sule; Kalemi, Edlira; Wendelberg, Linda; Abomhara, Mohamed Ali Saleh; Ahmed, Javed (Journal article; Peer reviewed, 2019)
      Online Social Networks (OSNs) have fundamentally and permanently altered the arena of digital and classical crime. Recently, law enforcement agencies (LEAs) have been using OSNs as a data source to collect Open Source ...
    • WECIA Graph: Visualization of Classification Performance Dependency on Grayscale Conversion Setting 

      Skrabánek, Pavel; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Grayscale conversion is a popular operation performed within image pre-processing of many computer vision systems, including systems aimed at generic object categorization. The grayscale conversion is a lossy operation. ...