• Highly-Cited Papers In Software Engineering: The Top-100 

      Garousi, Vahid; Fernandes, Joao M. (Elsevier, 2016)
      Context: According to the search reported in this paper, as of this writing (May 2015), a very large number of papers (more than 70,000) have been published in the area of Software Engineering (SE) since its inception in ...
    • 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 ...
    • Improving The Performance Of Hadoop Hive By Sharing Scan And Computation Tasks 

      Dokeroglu, T; Ozal, S; Bayir, M.A; Cinar, M.S; Cosar, A. (2014)
    • Laboratory Data Quality Control: A New Cost-Effective Approach 

      Aydos, Murat; Nalbant, Ahmet; Vural, Yilmaz (Sage Publications Ltd, 2018)
      In industrial and medical laboratories, prior to initiating the daily test procedure, the accuracy of the system is observed by measuring the reference control values. Measurements and test results may be below or above ...
    • Manifestation of an Adaptive Neuro-Fuzzy Model on Landslide Susceptibility Mapping: Klang Valley, Malaysia 

      Sezer, Ebru Akcapinar; Pradhan, Biswajeet; Gokceoglu, Candan (Pergamon-Elsevier Science Ltd, 2011)
      The purpose of the present paper is to manifest the results of the neuro-fuzzy model using remote sensing data and GIS for landslide susceptibility analysis in a part of the Klang Valley areas i Malaysia. Landslide locations ...
    • 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 ...
    • On 3-Uniform Hypergraphs Without A Cycle Of A Given Length 

      Furedi, Zoltan; Ozkahya, Lale (Elsevier Science Bv, 2017)
      We study the maximum number of hyperedges in a 3-uniform hypergraph on n vertices that does not contain a Berge cycle of a given length l. In particular we prove that the upper bound for C2k+1-free hypergraphs is of the ...
    • On The Ratio Of Maximum And Minimum Degree In Maximal Intersecting Families 

      Nagy, Zoltan Lorant; Oezkahya, Late; Patkos, Balazs; Vizer, Mate (Elsevier Science Bv, 2013)
      To study how balanced or unbalanced a maximal intersecting family F subset of ((vertical bar n vertical bar) (r)) is we consider the ratio R(F) = Delta(F)/delta(F) of its maximum and minimum degree. We determine the order ...
    • 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 ...
    • Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System 

      Bal, Mert; Amasyali, M. Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse (2014)
      The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, ...
    • S-Ide: A Tool Framework For Optimizing Deployment Architecture Of High Level Architecture Based Simulation Systems 

      Celik, Turgay; Tekinerdogan, Bedir (Elsevier Science Inc, 2013)
      One of the important problems in High Level Architecture (HLA) based distributed simulation systems is the allocation of the different simulation modules to the available physical resources. Usually, the deployment of the ...
    • Sentioscope: A Soccer Player Tracking System Using Model Field Particles 

      Baysal, Sermetcan; Duygulu, Pinar (Ieee-Inst Electrical Electronics Engineers Inc, 2016)
      Tracking multiple players is crucial to analyze soccer videos in real time. Yet, rapid illumination changes and occlusions among players who look similar from a distance make tracking in soccer very difficult. Particle-f ...
    • Silhouette Extraction From Street View Images 

      Mutlu, Begum; Haciomeroglu, Murat; Guzel, Mehmet Serdar; Dikmen, Mehmet; Sever, Hayri (Sage Publications Inc, 2014)
      This study addresses the issue of silhouette extraction of a street, and proposes two novel approaches to overcome this problem. The first, namely hybrid stitching considers the silhouette extraction as an image stitching ...
    • Systematic Mapping of Process Mining Studies in Healthcare 

      Erdogan, Tugba Gurgen; Tarhan, Ayca (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      In the last decade, as an emerging technique for business processes management, process mining (PM) has been applied in many domains, including manufacturing, supply-chain, government, healthcare, and software engineering. ...
    • Testing Embedded Software: A Survey Of The Literature 

      Garousi, Vahid; Felderer, Michael; Karapicak, Cagri Murat; Yilmaz, Ugur (Elsevier Science Bv, 2018)
      Context Embedded systems have overwhelming penetration around the world. Innovations are increasingly triggered by software embedded in automotive, transportation, medical-equipment, communication, energy, and many other ...
    • 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 ...
    • Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation 

      Can, Burcu; Manandhar, Suresh (Mit Press, 2018)
      This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ...
    • 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. ...
    • 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 ...
    • Use Of Acoustic Prior Information For Confidence Measure In Asr (Automatic Speech Recognition) Applications 

      Mengusoglu, E; Ris, C (Acoustical Soc Amer Amer Inst Physics, 2005)
      In this paper, a new acoustic confidence measure of automatic speech recognition hypothesis is proposed and it is compared to approaches proposed in the literature. This approach takes into account prior information on the ...