Recent Submissions

  • Examination Of Various Classification Strategies In Classification Of Lung Nodule Characteristics 

    Kaya, Aydin; Keceli, Ali Seydi; Can, Ahmet Burak (2019)
    Nodule characteristics used in the evaluation of lung nodules are generally subjective assessments of the expert opinions. Among these characteristics, the most known and used one for prediction is the degree of malignancy. ...
  • Extending A Sentiment Lexicon With Synonym-Antonym Datasets: Swnettr Plus 

    Saglam, Fatih; Genc, Burkay; Sever, Hayri (2019)
    In our previous studies on developing a general-purpose Turkish sentiment lexicon, we constructed SWNetTR-PLUS, a sentiment lexicon of 37K words. In this paper, we show how to use Turkish synonym and antonym word pairs to ...
  • Multiple Model Kalman And Particle Filters And Applications: A Survey 

    Akca, Alper; Efe, M. Onder (2019)
    Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian estimators under Gaussian, linear and quadratic conditions. For non-linear systems, Extended Kalman Filter (EKF) and Unscented Kalman ...
  • Correlation Of Critical Success Factors With Success Of Software Projects: An Empirical Investigation 

    Garousi, Vahid; Tarhan, Ayca; Pfahl, Dietmar; Coskuncay, Ahmet; Demirors, Onur (2019)
    Software engineering researchers have, over the years, proposed different critical success factors (CSFs) which are believed to be critically correlated with the success of software projects. To conduct an empirical ...
  • Complexity, Size And Internal Quality In The Evolution Of Mobile Applications: An Exploratory Study 

    Gezici, Bahar; Tarhan, Ayca; Chouseinoglou, Oumout (2019)
    Mobile applications are becoming complex software systems as they rapidly evolve and grow constantly to meet user requirements. However, satisfying these requirements may lead to poor design choices known as `antipatterns' ...
  • Discovery Of Tandem And Interspersed Segmental Duplications Using High-Throughput Sequencing 

    Soylev, Arda; Le, Thong Minh; Amini, Hajar; Alkan, Can; Hormozdiari, Fereydoun (2019)
    Motivation: Several algorithms have been developed that use high-throughput sequencing technology to characterize structural variations (SVs). Most of the existing approaches focus on detecting relatively simple types of ...
  • Assessing Risks And Threats With Layered Approach To Internet Of Things Security 

    Aydos, Murat; Vural, Yilmaz; Tekerek, Adem (2019)
    Internet of Things is the next-generation Internet network created by intelligent objects with software and sensors, employed in a wide range of fields such as automotive, construction, health, textile, education and ...
  • The Cafa Challenge Reports Improved Protein Function Prediction And New Functional Annotations For Hundreds Of Genes Through Experimental Screens 

    Zhou, Naihui; Jiang, Yuxiang; Bergquist, Timothy R.; Lee, Alexandra J.; Kacsoh, Balint Z.; Crocker, Alex W.; Lewis, Kimberley A.; Georghiou, George; Nguyen, Huy N.; Hamid, Md Nafiz; Davis, Larry; Dogan, Tunca; Atalay, Volkan; Rifaioglu, Ahmet S.; Dalkıran, Alperen; Cetin Atalay, Rengul; Zhang, Chengxin; Hurto, Rebecca L.; Freddolino, Peter L.; Zhang, Yang; Bhat, Prajwal; Supek, Fran; Fernández, José M.; Gemovic, Branislava; Perovic, Vladimir R.; Davidović, Radoslav S.; Sumonja, Neven; Veljkovic, Nevena; Asgari, Ehsaneddin; Mofrad, Mohammad R.K.; Profiti, Giuseppe; Savojardo, Castrense; Martelli, Pier Luigi; Casadio, Rita; Boecker, Florian; Schoof, Heiko; Kahanda, Indika; Thurlby, Natalie; McHardy, Alice C.; Renaux, Alexandre; Saidi, Rabie; Gough, Julian; Freitas, Alex A.; Antczak, Magdalena; Fabris, Fabio; Wass, Mark N.; Hou, Jie; Cheng, Jianlin; Wang, Zheng; Romero, Alfonso E.; Paccanaro, Alberto; Yang, Haixuan; Goldberg, Tatyana; Zhao, Chenguang; Holm, Liisa; Törönen, Petri; Medlar, Alan J.; Zosa, Elaine; Borukhov, Itamar; Novikov, Ilya; Wilkins, Angela; Lichtarge, Olivier; Chi, Po-Han; Tseng, Wei-Cheng; Linial, Michal; Rose, Peter W.; Dessimoz, Christophe; Vidulin, Vedrana; Dzeroski, Saso; Sillitoe, Ian; Das, Sayoni; Lees, Jonathan Gill; Jones, David T.; Wan, Cen; Cozzetto, Domenico; Fa, Rui; Torres, Mateo; Warwick Vesztrocy, Alex; Rodriguez, Jose Manuel; Tress, Michael L.; Frasca, Marco; Notaro, Marco; Grossi, Giuliano; Petrini, Alessandro; Re, Matteo; Valentini, Giorgio; Mesiti, Marco; Roche, Daniel B.; Reeb, Jonas; Ritchie, David W.; Aridhi, Sabeur; Alborzi, Seyed Ziaeddin; Devignes, Marie-Dominique; Koo, Da Chen Emily; Bonneau, Richard; Gligorijević, Vladimir; Barot, Meet; Fang, Hai; Toppo, Stefano; Lavezzo, Enrico; Falda, Marco; Berselli, Michele; Tosatto, Silvio C.E.; Carraro, Marco; Piovesan, Damiano; Ur Rehman, Hafeez; Mao, Qizhong; Zhang, Shanshan; Vucetic, Slobodan; Black, Gage S.; Jo, Dane; Suh, Erica; Dayton, Jonathan B.; Larsen, Dallas J.; Omdahl, Ashton R.; McGuffin, Liam J.; Brackenridge, Danielle A.; Babbitt, Patricia C.; Yunes, Jeffrey M.; Fontana, Paolo; Zhang, Feng; Zhu, Shanfeng; You, Ronghui; Zhang, Zihan; Dai, Suyang; Yao, Shuwei; Tian, Weidong; Cao, Renzhi; Chandler, Caleb; Amezola, Miguel; Johnson, Devon; Chang, Jia-Ming; Liao, Wen-Hung; Liu, Yi-Wei; Pascarelli, Stefano; Frank, Yotam; Hoehndorf, Robert; Kulmanov, Maxat; Boudellioua, Imane; Politano, Gianfranco; Di Carlo, Stefano; Benso, Alfredo; Hakala, Kai; Ginter, Filip; Mehryary, Farrokh; Kaewphan, Suwisa; Björne, Jari; Moen, Hans; Tolvanen, Martti E.E.; Salakoski, Tapio; Kihara, Daisuke; Jain, Aashish; Šmuc, Tomislav; Altenhoff, Adrian; Ben-Hur, Asa; Rost, Burkhard; Brenner, Steven E.; Orengo, Christine A.; Jeffery, Constance J.; Bosco, Giovanni; Hogan, Deborah A.; Martin, Maria J.; O’Donovan, Claire; Mooney, Sean D.; Greene, Casey S.; Radivojac, Predrag; Friedberg, Iddo (2019)
    Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ...
  • A Two-Dimensional Method For Evaluating Maintainability And Reliability Of Open Source Software 

    Yilmaz, Nebi; Tarhan, Ayca (2019)
    Increased popularity of open source software (OSS) has led to a considerable proliferation of alternative software. However, there is a lack of studies in literature that shed light into the evaluation of OSS by organizations. ...
  • Turkish Lexicon Expansion By Using Finite State Automata 

    Ozturk, Burak; Can, Burcu (2019)
    Turkish is an agglutinative language with rich morphology. A Turkish verb can have thousands of different word forms. Therefore, sparsity becomes an issue in many Turkish natural language processing (NLP) applications. ...
  • Identifying Criminal Organizations From Their Social Network Structures 

    Cinar, Muhammet Serkan; Genc, Burkay; Sever, Hayri (2019)
    Identification of criminal structures within very large social networks is an essential security feat. By identifying such structures, it may be possible to track, neutralize, and terminate the corresponding criminal ...
  • Open Source Software Usage On Municipalities; A Case Study: Cankaya Municipality 

    Erzurumlu, Kerem; Vahabdjanov, Dilmurad; Çıtak, Murat; Solmaz, Sami (Elsevier Science Bv, 2011)
    As well known, the Open Source Software becomes the leading information technology day by day. There are open source alternatives of the most of the commercial softwares. In this case study, we will examine the open source ...
  • Classifying Fonts And Calligraphy Styles Using Complex Wavelet Transform 

    Bozkurt, Alican; Duygulu, Pinar; Cetin, A. Enis (Springer London Ltd, 2015)
    Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ...
  • B-Mode Echotexture Analysis and Color Doppler Sonography in Canine Mammary Tumors 

    Mulazimoglu, Serkan Baris; Beceriklisoy, Hakki Bulent; Schafer-Somi, Sabine; Kaya, Mahir; Bumin, Ali; Ozenc, Erhan; Gultiken, Nilgun; Kanca, Halit; Gunen, Munevver Ziynet; Kutsal, Osman; Emre, Birten; Evangelos, Kiossis; Aslan, Selim (Kafkas Univ, Veteriner Fakultesi Dergisi, 2016)
    Forty-one mammary gland tumors from twenty eight bitches were used for the study. Ultrasonographic examinations of tumor masses were performed before surgical excision and a quadratic region-of-interest (ROI) was chosen ...
  • Assessment of Fractal Dimension and Geometrical Characteristics of the Landslides Identified in North of Tehran, Iran 

    Pourghasemi, H. R.; Moradi, H. R.; Aghda, S. M. Fatemi; Sezer, E. A.; Jirandeh, A. Goli; Pradhan, B. (Springer, 2014)
    The aim of the presented study is to assess the fractal dimension (D) and the geometrical characteristics (length and width) of the landslides identified in North of Tehran, Iran. At first, the landslide locations (528 ...
  • Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures 

    Bernardi, Raffaella; Cakıcı, Ruket; Elliott, Desmond; Erdem, Aykut; Erdem, Erkut; Ikizler-Cinbis, Nazli; Keller, Frank; Muscat, Adrian; Plank, Barbara (Ai Access Foundation, 2016)
    Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...
  • Anti-Ramsey Number of Matchings in Hypergraphs 

    Özkahya, Lale; Young, Michael (Elsevier Science Bv, 2013)
    A k-matching in a hypergraph is a set of k edges such that no two of these edges intersect. The anti-Ramsey number of a k-matching in a complete s-uniform hypergraph H on n vertices, denoted by ar(n, s, k), is the smallest ...
  • Volumetric Object Recognition Using 3-D Cnns On Depth Data 

    Caglayan, Ali; Can, Ahmet Burak (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
    Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...
  • Visual Saliency Estimation By Nonlinearly Integrating Features Using Region Covariances 

    Erdem, Erkut; Erdem, Aykut (Assoc Research Vision Ophthalmology Inc, 2013)
    To detect visually salient elements of complex natural scenes, computational bottom-up saliency models commonly examine several feature channels such as color and orientation in parallel. They compute a separate feature ...
  • Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding 

    Sener, Fadime; Ikizler-Cinbis, Nazli (Academic Press Inc Elsevier Science, 2015)
    In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ...

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