D. Gençaga

发表

Towards identification of relevant variables in the observed aerosol optical depth bias between MODIS and AERONET observations

D. J. Lary, N. K. Malakar, David John Lary, 2013, 1302.2969.

Analysis of parameter changes of a neuronal network model using transfer entropy

Sevgi Şengül Ayan, D. Gençaga, 2020 .

Characterization of Interstellar Organic Molecules

K. Knuth, D. Gençaga, D. Carbon, 2008 .

Survey on the estimation of mutual information methods as a measure of dependency versus correlation analysis

David John Lary, N. Malakar, D. Gençaga, 2014, 1401.3358.

Formant manipulations in voice disguise by mimicry

Bhiksha Raj, Rita Singh, Deniz Gençaga, 2016, 2016 4th International Conference on Biometrics and Forensics (IWBF).

A Recipe for the Estimation of Information Flow in a Dynamical System

Deniz Gençaga, Kevin H. Knuth, William B. Rossow, 2015, Entropy.

Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing

Jennifer Wei, Arif Albayrak, David J. Lary, 2012, 2012 Conference on Intelligent Data Understanding.

Effects of Neuronal Noise on Neural Communication

Deniz Gençağa, Sevgi Şengül Ayan, D. Gençaga, 2019 .

Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise

Deniz Gençağa, Sevgi Şengül Ayan, Serdar Okuyucu, 2020, Entropy.

Modeling of non-stationary autoregressive alpha-stable processes by particle filters

Aysin Ertüzün, Ercan E. Kuruoglu, Deniz Gençaga, 2008, Digit. Signal Process..

Transfer Entropy

Deniz Gençaga, D. Gençaga, 2018, Entropy.

Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters

Aysin Ertüzün, Ercan E. Kuruoglu, Deniz Gençaga, 2005, 2005 13th European Signal Processing Conference.

Time-varying autoregressive parameter estimation of cauchy processes by particle filters

A. Ertuzun, D. Gençaga, E. Kuruoğlu, 2005, Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005..

Fast communication: Estimation of time-varying AR SαS processes using Gibbs sampling

S. Yıldırım, D. Gençaga, Aysin Ertüzün, 2008 .

Forensic anthropometry from voice: An articulatory-phonetic approach

Bhiksha Raj, Rita Singh, Deniz Gençaga, 2016, 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

The relationship of voice onset time and Voice Offset Time to physical age

Bhiksha Raj, Rita Singh, Joseph Keshet, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).