Steady-state solutions of the extended LMS algorithm for stereophonic acoustic echo cancellation with leakage or signal conditioning. - Tetsuya Hoya; Jonathon A. Chambers; Neil Forsyth; Patrick A. Naylor (EUSIPCO, 1998)

Application of the leaky extended LMS (XLMS) algorithm in stereophonic acoustic echo cancellation. - Tetsuya Hoya; Y. Loke; Jonathon A. Chambers; Patrick A. Naylor (Signal Process., 1998)

Graph theoretic techniques for pruning data and their applications. - Tetsuya Hoya (IEEE Trans. Signal Process., 1998)

Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods. - Andrzej Cichocki; Reda R. Gharieb; Tetsuya Hoya (ICASSP, 2001)

Heuristic pattern correction scheme using adaptively trained generalized regression neural networks. - Tetsuya Hoya; Jonathon A. Chambers (IEEE Trans. Neural Networks, 2001)

Interpreting Two Psychological Functions by A Hierarchically Structured Neural Memory Model. - Tetsuya Hoya (DARS, 2002)

Pitch extraction of speech signals using an eigen-based subspace method. - Takahiro Murakami; Munehiro Namba; Tetsuya Hoya; Yoshihisa Ishida (INTERSPEECH, 2002)

Transformation of spectral envelope for voice conversion based on radial basis function networks. - Tomomi Watanabe; Takahiro Murakami; Munehiro Namba; Tetsuya Hoya; Yoshihisa Ishida (INTERSPEECH, 2002)

On the capability of accommodating new classes within probabilistic neural networks. - Tetsuya Hoya (IEEE Trans. Neural Networks, 2003)

Notions of intuition and attention modeled by a hierarchically arranged generalized regression neural network. - Tetsuya Hoya (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Speech Enhancement by Spectral Subtraction Based on Subspace Decomposition. - Takahiro Murakami; Tetsuya Hoya; Yoshihisa Ishida (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement. - Tetsuya Hoya; Toshihisa Tanaka 001; Andrzej Cichocki; Takahiro Murakami; Gen Hori; Jonathon A. Chambers (IEEE Trans. Speech Audio Process., 2005)

Artificial Mind System - Kernel Memory Approach - Tetsuya Hoya (Springer, 2005)

Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals. - Maria G. Jafari; Wenwu Wang 001; Jonathon A. Chambers; Tetsuya Hoya; Andrzej Cichocki (IEEE Trans. Signal Process., 2006)

Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks. - Tetsuya Hoya; Yoshikazu Washizawa (IEEE Trans. Neural Networks, 2007)

Reduction of broadband noise in speech signals by multilinear subspace analysis. - Yusuke Sato; Tetsuya Hoya; Hovagim Bakardjian; Andrzej Cichocki (INTERSPEECH, 2010)

A cascaded neuro-computational model for spoken word recognition. - Tetsuya Hoya; Cees van Leeuwen (Connect. Sci., 2010)

On the Parameter Setting of a Network-Growing Algorithm for Radial Basis Kernel Networks. - Tetsuya Hoya (SCIS&ISIS, 2016)

Connected word recognition using a cascaded neuro-computational model. - Tetsuya Hoya; Cees van Leeuwen (Connect. Sci., 2016)

A modified cascaded neuro-computational model applied to recognition of connected spoken Japanese prefecture words. - Tetsuya Hoya (Artif. Life Robotics, 2019)

Analytical Comparison Between the Pattern Classifiers Based upon a Multilayered Perceptron and Probabilistic Neural Network in Parallel Implementation. - Katsumi Takahashi; Shunpei Morita; Tetsuya Hoya (ICANN (3), 2022)

Reducing the number of centers in a probabilistic neural network via applying the first neighbor means clustering algorithm. - Tetsuya Hoya (Array, 2022)

A Class Incremental Learning Algorithm for a Compact-Sized Probabilistic Neural Network and Its Empirical Comparison with Multilayered Perceptron Neural Networks. - Shunpei Morita; Hiroto Iguchi; Tetsuya Hoya (ACPR (1), 2023)

Syntactic Networks - Kernel Memory Approach, 2 - Tetsuya Hoya (Springer, 2024)

Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network. - Tetsuya Hoya; Shunpei Morita (CoRR, 2025)