Künye MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering için listeleme

Toplam kayıt 68, listelenen: 12-31

      Künye Göre
      Demir, K. E. & Eskil, M. T. (2021). Improved microphone array design with statistical speaker verification. Applied Acoustics, 175, 1-7. doi:10.1016/j.apacoust.2020.107813 [1]
      Efrat, A., Forrester, D., Iyer, A., Kobourov, S., Erten, C., & Kilic, O. (2010). Force-directed approaches to sensor localization. ACM Transactions on Sensor Networks (TOSN), 7(3), 1-25. doi:10.1145/1807048.1807057 [1]
      Ehsani, R., Solak, E. & Yıldız, O. T. (2018). Constructing a WordNet for turkish using manual and automatic annotation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 17(3), 1-15. doi:10.1145/3185664 [1]
      Erkoç, T., Ağdoğan, D. & Eskil, M. T. (2018). An observation based muscle model for simulation of facial expressions. Signal Processing: Image Communication, 64, 11-20. doi:10.1016/j.image.2018.02.009 [1]
      Erman, B., İnan, A., Nagarajan, R. & Uzunalioğlu, H. (2011). Mobile applications discovery: A subscriber‐centric approach. Bell Labs Technical Journal, 15(4), 135-148. doi:10.1002/bltj.20477 [1]
      Eroğlu, G. & Arman, F. (2022). k-Means clustering by using the calculated Z-scores from QEEG data of children with dyslexia. Applied Neuropsychology: Child, 12(3), 214-220. doi:10.1080/21622965.2022.2074298 [1]
      Eroǧlu, G., Teber, S. T., Ertürk, K., Kırmızı, M., Ekici, B., Arman, F., Balcısoy, S. S., Özcan, Y. Z. & Çetin, M. (2022). A mobile app that uses neurofeedback and multi-sensory learning methods improves reading abilities in dyslexia: a pilot study. Applied Neuropsychology: Child, 11(3), 518-528. doi:10.1080/21622965.2021.1908897 [1]
      Erten, C. & Çakıroğlu, O. A. (2010). Fully decentralized and collaborative multilateration primitives for uniquely localizing WSNs. Eurasip Journal on Wireless Communications and Networking, 2010(1), 1-7. doi:10.1155/2010/605658 [1]
      Eskil, M. T. & Benli, K. S. (2014). Facial expression recognition based on anatomy. Computer Vision and Image Understanding, 119, 1-14. doi:10.1016/j.cviu.2013.11.002 [1]
      Eskil, M. T. & Sticklen, J. (2009). Integrating vendors into cooperative design practices. CoDesign, 5(3), 175-192. doi:10.1080/15710880902921224 [1]
      Eskil, M. T. (2014). Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects. Machine Vision and Applications, 25(7), 1825-1840. doi:10.1007/s00138-014-0634-1 [1]
      Eskil, M. T., Sticklen, J. & Radcliffe, C. (2008). The routine design–modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies. AI EDAM, 22(1), 1-18. doi:10.1017/S0890060408000012 [1]
      Flammini, M., Monaco, G., Moscardelli, L., Shalom, M. & Zaks, S. (2021). On the online coalition structure generation problem. Journal Of Artificial Intelligence Research, 72, 1215-1250. doi:10.1613/JAIR.1.12989 [1]
      İnan, A., Kantarcıoğlu, M., Ghinita, G. & Bertino, E. (2012). A hybrid approach to private record matching. IEEE Transactions on Dependable and Secure Computing, 9(5), 684-698. doi:10.1109/TDSC.2012.46 [1]
      İrsoy, O., Yıldız, O. T. & Alpaydın, A. İ. E. (2012). Design and analysis of classifier learning experiments in bioinformatics: Survey and case studies. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 9(6), 1663-1675. doi:10.1109/TCBB.2012.117 [1]
      Koray, A., Toprak, C., Esgel, V. & Yıldız, O. T. (2018). Construction of a turkish proposition bank. Turkish Journal of Electrical Engineering and Computer Sciences, 26(1), 570-581. doi:10.3906/elk-1703-79 [1]
      Koulali, I. & Eskil, M. T. (2021). Unsupervised textile defect detection using convolutional neural networks. Applied Soft Computing, 113, 1-17. doi:10.1016/j.asoc.2021.107913 [1]
      Najafi, A., Gholipour-Shilabin, A., Dehkharghani, R., Mohammadpur-Fard, A. & Asgari-Chenaghlu, M. (2023). ComStreamClust: a communicative multi-agent approach to text clustering in streaming data. Annals of Data Science, 10(6) 1583-1605. doi:10.1007/s40745-022-00426-4 [1]
      Okutan, A. & Yıldız, O. T. (2014). Software defect prediction using bayesian networks. Empirical Software Engineering, 19(1), 154-181. doi:10.1007/s10664-012-9218-8 [1]
      Okutan, A. & Yıldız, O. T. (2016). A novel kernel to predict software defectiveness. The Journal of Systems and Software, 119, 109-121. doi:10.1016/j.jss.2016.06.006 [1]