• 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 ...
    • 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 ...
    • 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 ...