A recipe for the estimation of information flow in a dynamical system D Gencaga, KH Knuth, WB Rossow Entropy 17 (1), 438-470, 2015 | 72 | 2015 |
Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering D Gençağa, EE Kuruoğlu, A Ertüzün Multidimensional Systems and Signal Processing 21 (1), 73-85, 2010 | 21 | 2010 |
The relationship of voice onset time and voice offset time to physical age R Singh, J Keshet, D Gencaga, B Raj 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 20 | 2016 |
Transfer entropy D Gençağa Entropy 20 (4), 288, 2018 | 19 | 2018 |
Modeling of non-stationary autoregressive alpha-stable processes by particle filters D Gençağa, A Ertüzün, EE Kuruoğlu Digital signal processing 18 (3), 465-478, 2008 | 19 | 2008 |
Forensic anthropometry from voice: an articulatory-phonetic approach R Singh, B Raj, D Gencaga 2016 39th International Convention on Information and Communication …, 2016 | 18 | 2016 |
Survey on the estimation of mutual information methods as a measure of dependency versus correlation analysis D Gencaga, NK Malakar, DJ Lary AIP Conference Proceedings 1636 (1), 80-87, 2014 | 18 | 2014 |
Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing NK Malakar, DJ Lary, A Moore, D Gencaga, B Roscoe, A Albayrak, J Wei 2012 Conference on Intelligent Data Understanding, 24-30, 2012 | 18 | 2012 |
Formant manipulations in voice disguise by mimicry R Singh, D Gencaga, B Raj 2016 4th International Conference on Biometrics and Forensics (IWBF), 1-6, 2016 | 14 | 2016 |
Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters D Gençağa, EE Kuruoğlu, A Ertüzün 2005 13th European Signal Processing Conference, 1-4, 2005 | 11 | 2005 |
Estimation of time-varying AR SαS processes using Gibbs sampling D Gençağa, EE Kuruoğlu, A Ertüzün, S Yıldırım Signal processing 88 (10), 2564-2572, 2008 | 9 | 2008 |
Information-theoretic methods for identifying relationships among climate variables KH Knuth, D Gençağa, WB Rossow arXiv preprint arXiv:1412.6219, 2014 | 8 | 2014 |
Towards identification of relevant variables in the observed aerosol optical depth bias between MODIS and AERONET observations NK Malakar, DJ Lary, D Gencaga, A Albayrak, J Wei AIP Conference Proceedings 1553 (1), 69-76, 2013 | 7 | 2013 |
Bayesian Separation of Non‐Stationary Mixtures of Dependent Gaussian Sources D Gençağa, EE Kuruoğlu, A Ertüzün AIP Conference Proceedings 803 (1), 257-265, 2005 | 5 | 2005 |
Characterization of interstellar organic molecules D Gençağa, DF Carbon, KH Knuth AIP Conference Proceedings 1073 (1), 286-293, 2008 | 3 | 2008 |
Synthetic aperture radar image enhancement using particle filters D Gencaga, EE Kuruoglu, E Aysin ESA-EUSC 2005: Image Information Mining—Theory and Application to Earth …, 2005 | 3 | 2005 |
Statistical approaches for the analysis of dependency among neurons under noise D Gençağa, S Şengül Ayan, H Farnoudkia, S Okuyucu Entropy 22 (4), 387, 2020 | 2 | 2020 |
Transfer Entropy D Gençaga Transfer Entropy 20, 1, 2018 | 2 | 2018 |
SAR Image Enhancement Using Particle Filters D Gencaga Interactive Presentation, Oct 1, 2005 | 2 | 2005 |
Konuşma İşaretleri için Gerçek Zamanlı Bir Formant Frekans Kestiricisi D Gençağa, LM Arslan, A Ertüzün 10th Signal Processing and Applications Conference, Pamukkale, Denizli, Turkey, 2002 | 2 | 2002 |