• Snake Detection and Blurring System to Prevent Unexpected Appearance of Snake Images on Visual Media Sources Using Deep Learning 

  Yılmaz, Gökçe Nur; Tekgül, Selay (İzmir Katip Çelebi Üniversitesi, 2021-12-30)

  This paper proposes an object detection and blurring system using deep learning especially for the detection of snake images since while some of the people does not care about the appearance of the snake images on the ...
• SHREC'21: Quantifying shape complexity[Formula presented] 

  Gençtav, Aslı; Arslan, Mazlum Ferhat; Haridis, Alexandros; Rosin, Paul L.; Tari, Sibel; Brassey, Charlotte A.; Gardiner, James D.; Gençtav, Murat (Elsevier Ltd, 2022-02)

  This paper presents the results of SHREC'21 track: Quantifying Shape Complexity. Our goal is to investigate how good the submitted shape complexity measures are (i.e. with respect to ground truth) and investigate the ...
• Role Detection and Prediction in Dynamic Political Networks 

  Gençtav, Aslı; Evans, Emily J.; Guo, Weihong; Tari, Sibel; Domeniconi, Carlotta; Murillo, Anarina L.; Chuang, Julia; AlSumait, Loulwah; Mani, Priya; El-Zehiry, Noha Youssry (Springer Science and Business Media Deutschland GmbH, 2021)

  The interaction of users, either online or in real-life, can be modeled via a network (or graph). In such networks, users engage in activities and take on specific roles. Users who manifest similar structural and connectivity ...
• PlaySAFe: Results from a Virtual Reality Study Using Digital Game-Based Learning for SAFe Agile Software Development 

  Güleç, Ulaş; Clarke, Paul M.; Yılmaz, Murat; O’Farrell, Emer (Springer Science and Business Media Deutschland GmbH, 2021-09-01)

  A common strategy to train software practitioners in agile frameworks is to have employees undertake classroom-based training. However, due to its nature, participants are lectured for a scheduled time-line with little ...
• Gender Classification from Eye Images by Using Pretrained Convolutional Neural Networks 

  Çimtay, Yücel; Yılmaz, Gökçe Nur (ISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti., 2021-12-31)

  Automatic gender classification from face images has been a popular topic among researchers for a decade. Feature extraction and classification methods are very important to create a successful automatic classification ...
• Enhancing VR experience with RBF interpolation based dynamic tuning of stereoscopic rendering 

  Çapın, Tolga K.; Avan, E.; Gurcay, H.; Çelikcan, U. (Elsevier Ltd, 2022-02)

  Providing a depth-rich Virtual Reality (VR) experience to users without causing discomfort remains to be a challenge with today's commercially available head-mounted displays (HMDs), which enforce strict measures on ...
• Digital Storytelling on a Virtual Heritage Museum with Believable Agents 

  Güleç, Ulaş; Yılmaz, M.; Kalan, K.; Dikbayır, H.S.; Merdivanli, Oğulcan; Değirmenci, U.M.; Clarke, P.M. (Institute of Electrical and Electronics Engineers Inc., 2021)

  The preservation of cultural heritage plays a very important role in terms of the sustainability of societies since culture is one of the most important phenomena that hold individuals together. However, although the ...
• Context and content based scalable video adaptation for ubiquitous multimedia communication services 

  Yılmaz, Gökçe Nur (Springer, 2021-02)

  A novel scalable video adaptation framework is developed to achieve the aim of ensuring enhanced Rate-Distortion (R-D) performances for the ubiquitous multimedia communication services in this study. This novel framework ...
• A new vegetation index in short-wave infrared region of electromagnetic spectrum 

  Çimtay, Yücel; Özbay, Büşra; Yılmaz, Gökçe Nur; Bozdemir, Eda (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141, 2021)

  Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil ...
• Blind video quality assessment via spatiotemporal statistical analysis of adaptive cube size 3D-DCT coefficients 

  Yılmaz, Gökçe Nur; Cemiloğlu, E. (Institution of Engineering and Technology, 2020-04-17)

  There is an urgent need for a robust video quality assessment (VQA) model that can efficiently evaluate the quality of a video content varying in terms of the distortion and content type in the absence of the reference ...
• Solving Assembly Line Workload Smoothing Problem via Answer Set Programming 

  Sabuncu, Orkunt; ÅžimÅek, M.C. (CEUR-WS, 2020)

  Assembly line balancing problems aim to assign production tasks to workstations or people while satisfying some constraints and optimizing various criteria such as production rate or number of workstations needed. One ...
• A scalable K-nearest neighbor algorithm for recommendation system problems 

  Sağdıç, Ahmet; Tekinbaş, C.; Arslan, E.; Küçükyılmaz, T. (Institute of Electrical and Electronics Engineers Inc., 2020-09-28)

  Memory-based classification techniques are commonly used for modeling recommendation problems. They rely on the intuition that similar users and/or items behave similarly, facilitating user-to-item, item-to-item, or ...
• Boosting gender identification using author preference 

  Küçükyılmaz, Tayfun; Deniz, Ayça; Kızılöz, Hakan Ezgi (ELSEVIER, 2020-12)

  Predicting the gender of a text document's author, also known as gender identification, is a well-studied authorship categorization task in the literature. A common theme in gender identification studies is that gender is ...
• Exploiting temporal changes in query submission behavior for improving the search engine result cache performance 

  Küçükyılmaz, Tayfun (ELSEVIER, 2021-05)

  A commonly used technique for improving query response time in retrieval systems is storing query-relevant information in a fast access memory storage such as a result cache. The effectiveness of the result cache heavily ...
• Analysis of multiobjective algorithms for the classification of multi-label video datasets 

  Dökeroğlu, Tansel; Karagöz, Gizem Nur; Yazıcı, Adnan; Coşar, Ahmet (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)

  It is of great importance to extract and validate an optimal subset of non-dominated features for effective multi-label classification. However, deciding on the best subset of features is an NP-Hard problem and plays a key ...
• Deep into visual saliency for immersive VR environments rendered in real-time 

  Albayrak, Dilara; Çapın, Tolga K.; Çelikcan, Ufuk; Askın, Mehmet Bahadır (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2020-05)

  As virtual reality (VR) headsets with head-mounted-displays (HMDs) are becoming more and more prevalent, new research questions are arising. One of the emergent questions is how best to employ visual saliency prediction ...
• A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data 

  Dökeroğlu, Tansel; Karagöz, Gizem Nur; Yazıcı, Adnan; Coşan, Ahmet (SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY, 2020-06)

  There are few studies in the literature to address the multi-objective multi-label feature selection for the classification of video data using evolutionary algorithms. Selecting the most appropriate subset of features is ...
• Context and content based scalable video adaptation for ubiquitous multimedia communication services 

  Nur Yılmaz, Gökçe (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2020-10)

  A novel scalable video adaptation framework is developed to achieve the aim of ensuring enhanced Rate-Distortion (R-D) performances for the ubiquitous multimedia communication services in this study. This novel framework ...
• Robust parallel hybrid artificial bee colony algorithms for the multi-dimensional numerical optimization 

  Dökeroǧlu, Tansel; Pehlivan, Selen; Avenoğlu, Bilgin (2020)

  This study proposes a set of new robust parallel hybrid metaheuristic algorithms based on artificial bee colony (ABC) and teaching learning-based optimization (TLBO) for the multi-dimensional numerical problems. The best ...
• Human action recognition in first person videos using verb-object Pairs 

  Pehlivan, Selen; Gökçe, Zeynep (Institute of Electrical and Electronics Engineers Inc., 2019)

  Human action recognition problem is important for distinguishing the rich variety of human activities in first-person videos. While there has been an improvement in egocentric action recognition, the space of action ...

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