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ORCIDAnthony Zaknich
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2010 – 2019
- 2015
[j10]Gareth E. Lee, Anthony Zaknich:
A mixed-integer programming approach to GRNN parameter estimation. Inf. Sci. 320: 1-11 (2015)- 2011
- [j9]Serajul Haque, Roberto Togneri
, Anthony Zaknich:
An Auditory Motivated Asymmetric Compression Technique for Speech Recognition. IEEE Trans. Speech Audio Process. 19(7): 2111-2124 (2011)
2000 – 2009
- 2009
- [j8]Peyman Kouchakpour, Anthony Zaknich, Thomas Bräunl:
Dynamic population variation in genetic programming. Inf. Sci. 179(8): 1078-1091 (2009) - [j7]Peyman Kouchakpour, Anthony Zaknich, Thomas Bräunl:
A survey and taxonomy of performance improvement of canonical genetic programming. Knowl. Inf. Syst. 21(1): 1-39 (2009) - [j6]Serajul Haque, Roberto Togneri, Anthony Zaknich:
Perceptual features for automatic speech recognition in noisy environments. Speech Commun. 51(1): 58-75 (2009) - 2008
- [c12]ChangSu Lee, Anthony Zaknich, Thomas Bräunl:
A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS). FUZZ-IEEE 2008: 567-574 - 2007
- [j5]Peyman Kouchakpour, Anthony Zaknich, Thomas Bräunl:
Population variation in genetic programming. Inf. Sci. 177(17): 3438-3452 (2007) - [j4]Thomas Hanselmann, Lyle Noakes, Anthony Zaknich:
Continuous-Time Adaptive Critics. IEEE Trans. Neural Networks 18(3): 631-647 (2007) - [c11]Serajul Haque, Roberto Togneri, Anthony Zaknich:
A Temporal Auditory Model with Adaptation for Automatic Speech Recognition. ICASSP (4) 2007: 1141-1144 - 2003
- [b1]Anthony Zaknich:
Neural Networks for Intelligent Signal Processing. Series on Innovative Intelligence 4, World Scientific 2003, ISBN 978-981-238-305-1, pp. 1-508 - [j3]Anthony Zaknich:
A practical sub-space adaptive filter. Neural Networks 16(5-6): 833-839 (2003)
1990 – 1999
- 1999
- [c10]Thomas Hanselmann, Anthony Zaknich, Yianni Attikiouzel:
Learning functions and their derivatives using Taylor series and neural networks. IJCNN 1999: 409-412 - [c9]Tony Jan, Anthony Zaknich:
An adjustable model for linear to nonlinear regression. IJCNN 1999: 846-850 - [c8]Anthony Zaknich:
Efficient kernel functions for the general regression and modified probabilistic neural networks. IJCNN 1999: 1446-1449 - [c7]G. Rennick, Yianni Attikiouzel, Anthony Zaknich:
Machine grading and blemish detection in apples. ISSPA 1999: 567-570 - [c6]Anthony Zaknich, Yianni Attikiouzel:
The classification of sheep and goat feeding phases from acoustic signals of jaw sounds. KES 1999: 158-161 - 1998
- [j2]Anthony Zaknich:
Introduction to the modified probabilistic neural network for general signal processing applications. IEEE Trans. Signal Process. 46(7): 1980-1990 (1998) - [c5]Gareth J. Cook, Anthony Zaknich:
Chirp sounding the shallow water acoustic channel. ICASSP 1998: 2521-2524 - 1997
- [j1]Anthony Zaknich:
Characterization of aluminum hydroxide particles from the Bayer process using neural network and Bayesian classifiers. IEEE Trans. Neural Networks 8(4): 919-931 (1997) - [c4]Pubudu N. Pathirana, Anthony Zaknich:
Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks. ICNN 1997: 31-36 - [c3]Anthony Zaknich:
A vector quantisation reduction method for the probabilistic neural network. ICNN 1997: 1117-1120 - 1995
- [c2]Anthony Zaknich, Yianni Attikiouzel:
The modified probabilistic neural network as a nonlinear correlator detector. ICNN 1995: 309-313 - [c1]Anthony Zaknich, Yianni Attikiouzel:
Detection of sodium oxalate needles in optical images using neural network classifiers. ICNN 1995: 1699-1702
Coauthor Index
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