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1. T. Hoya, Syntactic Networks - Kernel Memory Approach, to appear from the Series: Studies in Computational Intelligence, Vol. 1157, Heidelberg: Springer-Verlag, Feb. 2024.
2. T. Hoya, ``Spoken Language Processing, from Isolated Word Recognition to Neural Representation of Syntactical Structures, Based upon Kernel Memory,'' Chapter 16, Trends in Digital Signal Processing 2: Learning Approaches in Signal Processing, Pan Stanford Publishing, pp. 579-611, Nov. 2018.
3. T. Hoya, ``Modeling the Structures of Complex Systems -- Data Representations, Neural Learning, and Artificial Mind,'' Chapter 13, Trends in Digital Signal Processing: A Festschrift in Honour of A.G. Constantinides, pp. 407-431, Pan Stanford Publishing, July 2015.
4. T. Hoya, Artificial Mind System - Kernel Memory Approach, Series: Studies in Computational Intelligence, Vol. 1 (270p), Heidelberg: Springer-Verlag, Aug. 2005.

1. T. Hoya, ``Reducing the Number of Centers in a Probabilistic Neural Network via Applying the First Neighbor Means Clustering Algorithm,'' Array, Elsevier, Vol. 14, pp. 1-7, July 2022.
2. T. Hoya, ``A Modified Cascaded Neuro-Computational Model Applied to Recognition of Connected Spoken Japanese Prefecture Words,'' J. Artificial Life and Robotics, pp.1-6, Aug. 2019.
3. T. Hoya and C. van Leeuwen,``Connected Word Recognition Using a Cascaded Neuro-Computational Model,''Connection Science, Vo. 28, No. 4, pp. 332-345, Aug. 2016.
4. T. Hoya and C. van Leeuwen, ``A Cascaded Neuro-Computational Model for Spoken Word Recognition,'' Connection Science, Vol. 22, No. 1, pp. 87-101, Mar. 2010.
5. T. Hoya, ``Modelling Neuronal Grammar Circuits,'' English Linguistics: Journal of the English Linguistic Soc. of Japan (review article), Vol. 25, No. 2, pp. 479-499, Dec. 2008.
6. T. Hoya and Y. Washizawa, ``Simultaneous Pattern Classification and Multi-Domain Association Using Self-Structuring Kernel Memory Networks,'' IEEE Transactions on Neural Networks, Vol. 18, No. 3, pp. 732-744, May 2007.
7. T. Hoya, T. Tanaka, A. Cichocki, T. Murakami, G. Hori, and J. A. Chambers, ``Stereophonic Noise Reduction Using A Combined Sliding Subspace Projection and Adaptive Signal Enhancement,'' IEEE Transactions on Speech and Audio Processing, Vol. 13, No. 3, pp. 309-320, May 2005.
8. T. Hoya, ``Notions of Intuition and Attention Modeled by A Hiearchically Arranged Generalized Regression Neural Network,'' IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 34, No. 1, pp. 200-209, Feb. 2004.
9. T. Hoya, ``On the Capability of Accommodating New Classes Within Probabilistic Neural Networks,'' IEEE Transactions on Neural Networks, Vol. 14, No. 2, pp. 450-453, Mar. 2003.
10. T. Hoya and J. A. Chambers, ``Heuristic Pattern Correction Scheme Using Adaptively Trained Generalized Regression Neural Networks,'' IEEE Transactions on Neural Networks, Vol. 12, No. 1, pp. 91-100, Jan. 2001.
11. T. Hoya, J. A. Chambers, and P. A. Naylor, ``A Study of the $\epsilon$-NLMS Algorithm With Application to Stereophonic Acoustic Echo Cancellation,'' International Journal of Adaptive Control and Signal Processing - Special Issue on Active Noise and Echo Cancellation, Vol. 14, No. 6, pp. 609-621, Sept. 2000.
12. T. Hoya, ``Graph Theoretic Techniques for Pruning Data and Their Applications,'' IEEE Transactions on Signal Processing, pp. 2574-2579, Vol. 46, No. 9, Sept. 1998.
13. T. Hoya, Y. Loke, J. A. Chambers, and P. A. Naylor, ``Application of the Leaky eXtended LMS (XLMS) Algorithm in Stereophonic Acoustic Echo Cancellation,'' Eurasip Journal of Signal Processing - Special Issue on Acoustic Echo and Noise Control, Vol. 64(1), pp. 87-91, Jan. 1998.

1. M. G. Jafari, W. Wang, J. A. Chambers, T. Hoya, and A. Cichocki, ``Sequential Blind Source Separation of Periodic Signals Based Exclusively on Second Order Statistics,'' IEEE Transactions on Signal Processing, Vol. 54, no. 3, pp. 1028-1040, Mar. 2006.
2. T. Murakami, T. Hoya, and Y. Ishida, ``Speech Enhancement by Spectral Subtraction Based on Subspace Decomposition,'' IEICE Transactions on Fundamentals, Vol. E88-A, no. 3, pp. 690-701, Mar. 2005.

1. T. Hoya, Y. Sato, and T. Yoshii, ``Broadband Noise Reduction in Speech via Multiway Subspace Data Reconstruction,'' Journal of Research Institute of Science and Technology, College of Science and Technology, Nihon University, Vol. 136, July 2016.
2. T. Hoya and Y. Ishida, ``Identification and Control of Nonlinear Systems Using Radial Basis Function Neural Networks,'' Journal of Japan Hydro and Pneumatic Society (an invited commentary paper, in Japanese), Vol. 32, No. 7, pp. 62-66, Nov. 2001.

1. T. Hoya, ``Recognition of connected spoken Japanese prefecture words using a modified cascaded neuro-computational model,'' Proc. the 24th Int Symp. Artificial Life and Robotics (AROB-24), pp. 519-523, Jan. 2019.
2. T. Hoya, ``On the Parameter Setting of A Network-Growing Algorithm for Radial Basis Kernel Networks,'' Proc. the Joint 8th Int. Conf. Soft Computing and Intelli. Syst. and 17th Int. Symp. Advanced Intelli. Syst., Aug. 2016.
3. T. Hoya and N. Toyoda-Akiho, ``Artificial Intelligence and Language Acquisition -- An Example of A New Approach -- Solution to the `WUG'-Test Interpreted within the Artificial Mind System Context,'' Proc. the 8th Annual Int. Conf. Japanese Soc. for Language Sciences (JSLS-2006), pp. 169-174, June 2006.
4. T. Hoya, ``Self-Organising Associative Kernel Memory for Multi-Domain Pattern Classification,'' Proc. ALCOSP-2004, pp. 735-740, Aug. 2004.
5. T. Hoya, T. Tanaka, T. Murakami, and A. Cichocki, ``Stereophonic Noise Reduction By A Combined Multi-Stage Sliding Subspace Projection and Adaptive Signal Enhancement,'' Proc. ALCOSP-2004, pp. 421-426, Aug. 2004.
6. T. Hoya, G. Hori, H. Bakardjian, T. Nishimura, T. Suzuki, Y. Miyawaki, A. Funase, and J. Cao, ``Classification of Single Trial EEG Signals by a Combined Principal + Independent Component Analysis and Probabilistic Neural Network Approach,'' Proc. ICA2003, pp. 197-202, Jan. 2003.
7. T. Hoya, A. Cichocki, T. Tanaka, G. Hori, T. Murakami, and J. A. Chambers, ``A Combined Cascading Subspace Methods and Adaptive Signal Enhancement for Stereophonic Noise Reduction,'' Proc. ICA2003, pp. 573-578, Jan. 2003.
8. T. Hoya, A. K. Barros, T. Rutkowski, A. Cichocki, ``Speech Extraction Based Upon a Combined Subband Independent Component Analysis and Neural Memory,'' Proc. ICA2003, pp. 355-360, Jan. 2003.
9. T. Hoya, ``A Kernel Based Neural Memory Concept and Representation of Procedural Memory and Emotion,'' Proc. AROB'03, pp. 373-376, Jan. 2003.
10. T. Hoya, ``Interpreting Two Psychological Functions by A Hierarchically Structured Neural Memory Model,'' Proc. DARS-2002, pp. 405-414, Hakata, Japan, June 2002.
11. T. Hoya, ``Modeling the Notions of Intuition and Consciousness by Hierarchically Arranged Generalized Regression Neural Networks,'' Proc. NOLTA-2001, pp. 403-406, Zao, Japan, Oct 2001 (invited paper).
12. T. Hoya, J. A. Chambers, and P. A. Naylor, ``Low Complexity $\epsilon$-NLMS Algorithms and Subband Structures for Stereophonic Acoustic Echo Cancellation,'' Proc. IWAENC'99, pp.36-39, Sept. 1999.
13. T. Hoya, J. Chambers, N. Forsyth, and P. A. Naylor, ``Steady-State Solutions of the Extended LMS Algorithm for Stereophonic Acoustic Echo Cancellation with Leakage or Signal Conditioning,'' Proc. EUSIPCO-98, Vol. 2, pp. 977-980, Rhodes, Greece, Sept. 1998.
14. T. Hoya and A. G. Constantinides, ``A Heuristic Pattern Correction Scheme for GRNNs and its Application to Speech Recognition,'' Proc. IEEE Workshop - NNSP'98, pp. 351-359, Cambridge, U.K., Aug. 1998.
15. T. Hoya, H. Kamata, and Y. Ishida, ``Spoken Digit Recognition Using Neural Networks Trained by Incremental Learning,'' Proc. Fifth Australian International Conference on Speech Science and Technology, Vol. 2, pp. 512-517, Perth, Australia, Dec. 1994.
16. T. Hoya, H. Ihara, and Y. Ishida, ``Spoken Word Recognition by Neural Networks Using Adaptive Inverse Filters,'' Proc. of International Conference on Signal Processing Applications & Technology, pp. 1218-1221, Dallas, USA, Oct. 1994.
17. T. Hoya, H. Ihara, T. Asano, and Y. Ishida, ``Word Recognition Using Adaptive Mel-Cepstral Analysis,'' Proc. IEEE International Workshop on Intelligent Signal Processing and Communication Systems '94, pp. 68-71, Seoul, Korea, Oct. 1994.
18. T. Houya, H. Kamata and Y. Ishida, ``Design and Implementation of an Adaptive Filter Using Neural Networks,'' Proc. International Joint Conference on Neural Networks '93, Vol. 1, pp. 979-982, Nagoya, Japan, Oct. 1993.
19. T. Houya, H. Kamata and Y. Ishida, ``Design of an Adaptive FIR Filter Using Symmetric Nerual Networks,'' Proc. 1993 Canadian Conference on Electrical and Computer Engineering, Vol. 1, pp. 96-99, Vancouver, Canada, Sept. 1993.

1. S. Morita, H. Iguchi, and T. Hoya, ``A Class Incremental Learning Algorithm for a Compact-Sized Probabilistic Neural Network and Its Empirical Comparison with Multilayered Perceptron Neural Networks,'' to appear in Proc. Asian Conf. Pattern Recognition (ACPR-2023): Lecture Notes in Computer Science Vol. 14406, Springer, pp. 288-301, Nov. 2023.
2. K. Takahashi, S. Morita, and T. Hoya, ``Analytical Comparison between the Pattern Classifiers Based upon A Multilayered Perceptron and Probabilistic Neural Network in Parallel Implementation,'' Proc. Int. Conf. Artificial Neural Networks (ICANN-2022): Lecture Notes in Computer Science Vol. 13531, Springer, pp. 544-555, Sept. 2022.
3. Y. Sato, T. Hoya, H. Bakardjian, and A. Cichocki, ``Reduction of Broadband Noise in Speech Signals by Multilinear Subspace Analysis,'' Proc. InterSpeech2010, pp. 965-968, Sept. 2010.
4. N. Toyoda-Akiho and T. Hoya, ``Artificial Mind System - As an Engineering Approach to the Language Acquisition Studies,'' Proc. 2nd CLS Int. Conf. CLaSIC-2006: Processes and Process-Orientation in Foreign Language Teaching and Learning, June 2006.
5. L. Zhao, J. Cao, T. Hoya, and A. Cichocki, ``Dynamic Brain Sources of Single-Trial Auditory Evoked Potentials Data Using Complex ICA Approach,'' Proc. 27th Annu. Int. Conf. IEEE Engi. in Medicine and Biology Soc. (EMBC-2005), pp. 260-263, Sept. 2005.
6. L. Zhao, J. Cao, T. Hoya, and A. Cichocki, ``Analysis of single-trial EEG data using a combined robust pre-whitening technique and ICA approach,'' Proc. IEEE Int. Conf. VLSI Design and Video Tech., pp. 238-242, May 2005 (awarded the best paper).
7. T. Hanada, T. Hoya, T. Murakami, and Y. Ishida, ``Blind speech extraction using subband independent component analysis with scale adjustment function and neural memory,'' accepted for the TENCON'04, Aug. 2004.
8. T. Hanada, T. Hoya, S. Ding, A. K. Barros, and Y. Ishida, ``Combined subband independent component analysis and neural memory for blind speech extraction,'' Proc. ITC-CSCC 2004, July 2004.
9. T. Ibayashi, T. Hoya, O. Ono, and Y. Ishida, ``A Model-Following Adaptive Controller Using Radial Basis Function Networks,'' Proc. CACSD-2002, pp. 820-824, Glasgow, Scotland, Sept. 2002 (invited paper).
10. T. Watanabe, T. Murakami, M. Namba, T. Hoya, and Y. Ishida, ``Transformation of Spectral Envelope for Voice Conversion Based on Radial Basis Function Networks,'' Proc. ICSLP-2002, pp. 285-288, Denver, USA, Sept. 2002.
11. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, ``Pitch Extraction of Speech Signals Using an Eigen-Based Subspace Method,'' Proc. ICSLP-2002, pp. 1729-1732, Denver, USA, Sept. 2002.
12. T. Watanabe, T. Murakami, M. Namba, T. Hoya, and Y. Ishida, ``Recovery of Broadband Speech from Narrowband Speech by Radial Basis Function Neural Networks,'' Proc. TENCON'02, May 2002.
13. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, ``Speech Enhancement Based on a Combined Higher Frequency Regeneration Technique and Radial Basis Function Networks,'' Proc. TENCON'02, May 2002.
14. J. Watanabe, T. Hoya, and Y. Ishida, ``Design of Model-Following Controllers Using Radial Basis Function Neural Networks,'' Proc. IASTED 2001, pp. 113-116, Rhodes, Greece, July 2001.
15. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, ``Speech Enhancement Using MUSIC (MUltiple SIgnal Classification) Algorithm,'' Proc. IASTED 2001, pp. 213-216, Rhodes, Greece, July 2001.
16. A. Cichocki, R. R. Gharieb, and T. Hoya, ``Efficient Extraction of Evoked Potentials by Combination of Wiener Filtering and Subspace Methods,'' Proc. ICASSP 2001, Salt Lake City, USA, May 2001.

1. T. Hoya, ``Modeling Two Psychological Functions by A Hierarchically Arranged Generalised Regression Neural Networks,'' SI2002, vol. 2, pp. 369-370, Kobe, Japan, Dec. 2002 (invited paper).

1. D. Kamio, T. Hiroki, R. Tanaka, T. Hoya, and Y. Ishida, ``Digits Recognition Using a Combined Self-Organizing Map and Edit Distance,'' Proc. 2015 Annual Conf., Institute of Electrical Engi. Japan, Tokyo, Japan, pp. 96-97, Mar. 2015.
2. H. Sahara, T. Hoya, H. Bakardjian, and A. Cichocki, ``Efficient Identification of EMG Patterns in Electroencephalograms by Multilinear Subspace Analysis,'' the 26th SIP Symposium, IEICE, Sapporo, Japan, Nov. 2011.
3. L. Zhao, J. Cao, T. Hoya, and A. Cichocki, ``Analysis of Dynamical Visual Evoked Potential EEG Data Using ICA Approach,'' the 44th Annual Conf., Japanese Soc. for Medical and Biological Engineering, Tsukuba, Japan, Apr. 2005.
4. T. Ibayashi, T. Hoya, and Y. Ishida, ``Identification and Control of Nonlinear Systems Using Radial Basis Function Networks,'' Proc. of Japan Hydro and Pneumatic Society, May 2002 (in Japanese).

Invited Lectures

1. T. Hoya, ``Kernel Memory -- A New Connectionist Framework and Its Application to Spoken Word Recognition and Modelling Cognitive Faculties,'' Dept. Integrated Science in Physics and Biology, College of Humanities and Science, Nihon University, Jan. 2015.
2. T. Hoya, ``Kernel Memory -- A New Connectionist Framework and Its Application to Spoken Word Recognition and Modelling Cognitive Faculties,'' Dept. Physics, College of Science and Technology, Nihon University, Dec. 2014.
3. T. Hoya, ``Kernel Memory -- A New Connectionist Framework and Its Application to Spoken Word Recognition and Modelling Cognitive Faculties,'' Constantinides Workshop, 19th Int. Conf. on Digital Signal Processing (DSP-2014), Hong Kong, Aug. 2014.
4. T. Hoya and N. A. Toyoda, ``Artificial Intelligence and Language Acquisition -- Modelling An Artificial Language Acquisition Mechanism for Representing Inflections of Words Within the Context of Artificial Mind System and Kernel Memory,'' Sendai International Forum on Sentence Processing and Psycholinguistics in East Asian Languages, Oct. 2006.
5. T. Hoya, ``Establishing the Theory of Artificial Mind System -- Towards Developing Robots with Emotions,'' IEEJ Seminar, RIKEN (Wakoh Campus), Oct. 2005.
6. T. Hoya, ``Creating the Brain - It's Not a Mere Dream But an Active and Multi-Disciplinary Research Topic,'' Proc. of the First Forum for Young Scientists, Saitama Institute of Technology, pp. 25-30, Oct. 2003.

Manuscripts Under Review

Theses/Reports

1. T. Hoya, ``Graph Theoretic Methods for Data Partitioning,'' Ph.D thesis, Imperial College, University of London, Aug. 1997.
2. T. Hoya, ``Graph Theoretic Techniques for Pruning Training Sets of Neural Networks and Edge Detection of an Image,'' MPhil/Ph.D Transfer Report, Imperial College, University of London, Mar. 1996.