A new DSP-oriented algorithm for calculation of the square root using a nonlinear digital filter. - Naoki Mikami; Masaki Kobayashi; Yukiko Yokoyama (IEEE Trans. Signal Process., 1992)

Roundoff-error reduction for evaluation of a function by polynomial approximation with error feedback in fixed-point arithmetic. - Naoki Mikami; Masaki Kobayashi; Yukiko Yokoyama (IEEE Trans. Signal Process., 1993)

Evaluation of the Effects of Noises by Experiments Using a Mobile Robot. - Yuji Sakamoto; Masaki Kobayashi (GECCO, 2000)

An adaptive notch filter for eliminating multiple sinusoids with reduced bias. - James Okello; Shin'ichi Arita; Yoshio Itoh; Yutaka Fukui; Masaki Kobayashi (ISCAS, 2000)

A new architecture for implementing pipelined ADF. - James Okello; Shin'ichi Arita; Yoshio Itoh; Yutaka Fukui; Masaki Kobayashi (ISCAS, 2000)

RWS (Random Walk Splitting): A Random Walk Based Discretization of Continuous Attributes. - Masaaki Hanaoka; Masaki Kobayashi; Haruaki Yamazaki (PRICAI, 2000)

A new unbiased equation error algorithm for IIR ADF and its application to ALE. - James Okello; T. Kinugasa; Yoshio Itoh; Yutaka Fukui; Masaki Kobayashi (ICASSP, 2001)

A new algorithm for adaptive notch filter with sub-band filtering. - Yasutomo Kinugasa; James Okello; Yoshio Itoh; Masaki Kobayashi; Yutaka Fukui (ISCAS (2), 2001)

A new unbiased online algorithm for equation error IIR ADF. - James Okello; Yasutomo Kinugasa; Yoshio Itoh; Yutaka Fukui; Masaki Kobayashi (ISCAS (2), 2001)

Cooperative updating in the Hopfield model. - Tomo Munehisa; Masaki Kobayashi; Haruaki Yamazaki (IEEE Trans. Neural Networks, 2001)

Automatic sleep stage scoring based on waveform recognition method and decision-tree learning. - Masaaki Hanaoka; Masaki Kobayashi; Haruaki Yamazaki (Syst. Comput. Jpn., 2002)

Multidirectional associative memory with a hidden layer. - Masaki Kobayashi; Motonobu Hattori; Haruaki Yamazaki (Syst. Comput. Jpn., 2002)

Molecular Evaluation using Comparative Molecular Interaction Profile Analysis system. - Yoshiharu Hayashi; Katsuyoshi Sakaguchi; Nao Iwata; Masaki Kobayashi (CSB, 2003)

A study on the step size of cascaded adaptive notch filter utilizing allpass filter. - Yasutomo Kinugasa; Yoshio Itoh; Masaki Kobayashi; Yutaka Fukui; James Okello (ISCAS (4), 2003)

Molecular evaluation using in silico protein interaction profiles. - Yoshiharu Hayashi; Katsuyoshi Sakaguchi; Mime Kobayashi; Masaki Kobayashi; Yo Kikuchi; Eiichiro Ichiishi (Bioinform., 2003)

Protein Classification Using Comparative Molecular Interaction Profile Analysis System. - Yoshiharu Hayashi; Mime Kobayashi; Katsuyoshi Sakaguchi; Nao Iwata; Masaki Kobayashi; Yo Kikuchi; Yoshimasa Takahashi (J. Bioinform. Comput. Biol., 2004)

A Study on Pre-Inverse Adaptive System Based on Estimation of Minimum-Phase and Allpass Transfer Function. - Masaki Kobayashi; James Okello; Yoshio Itoh (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

An equation error algorithm based on correlation function with variable delay. - Ryuichi Kanagawa; Eiji Kuno; James Okello; Naoto Sasaoka; Yoshio Itoh; Masaki Kobayashi (EUSIPCO, 2008)

User-adaptive image clustering using relevance feedback for efficient content-based retrieval. - Masaki Kobayashi; Keisuke Kameyama (SMC, 2008)

Boltzmann Machines with Identified States. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Pseudo-Relaxation Learning Algorithm for Complex-Valued Associative Memory. - Masaki Kobayashi (Int. J. Neural Syst., 2008)

Fundamental Abilities of Rotor Associative Memory. - Michimasa Kitahara; Masaki Kobayashi (ACIS-ICIS, 2010)

Exceptional reducibility of complex-valued neural networks. - Masaki Kobayashi (IEEE Trans. Neural Networks, 2010)

Dynamic Complex-Valued Associative Memory with Strong Bias Terms. - Yozo Suzuki; Michimasa Kitahara; Masaki Kobayashi (ICONIP (1), 2011)

A study on active noise control based on preinverse adaptive system with bias free. - Yusaku Tanaka; Naoto Sasaoka; Yoshio Itoh; Masaki Kobayashi (ISPACS, 2011)

Noise Robust Gradient Descent Learning for Complex-Valued Associative Memory. - Masaki Kobayashi; Hirofumi Yamada; Michimasa Kitahara (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Rotor Associative Memory with a Periodic Activation Function. - Yozo Suzuki; Michimasa Kitahara; Masaki Kobayashi (IJCNN, 2012)

Bias free adaptive exponential notch filter with low constant delay. - Kazuki Shiogai; Naoto Sasaoka; Yoshio Itoh; Yasutomo Kinugasa; Masaki Kobayashi (ISCAS, 2012)

Active noise control with bias free pre-inverse adaptive system. - Yusaku Tanaka; Naoto Sasaoka; Yoshio Itoh; Masaki Kobayashi (ISCAS, 2012)

Speech enhancement based on bias free noise reconstruction method. - Shinichi Wada; Naoto Sasaoka; Yoshio Itoh; James Okello; Masaki Kobayashi (ISPACS, 2012)

A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. - Masaki Kobayashi; Keisuke Kameyama (IEICE Trans. Inf. Syst., 2012)

Complex-valued bidirectional auto-associative memory. - Yozo Suzuki; Masaki Kobayashi (IJCNN, 2013)

Fast convergence adaptive IIR notch filter using allpass filter and adaptive line enhancer. - Kazuki Shiogai; Naoto Sasaoka; Yoshio Itoh; Yasutomo Kinugasa; Masaki Kobayashi (ISPACS, 2013)

Hyperbolic Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2013)

Pre-inverse type active noise control with bias free structure. - Naoto Sasaoka; Kota Nakamura; Kazushi Otsuki; Yoshio Itoh; Masaki Kobayashi (ISCCSP, 2014)

Bias Free Adaptive Notch Filter Based on Fourier Sine Series. - Kazuki Shiogai; Naoto Sasaoka; Masaki Kobayashi; Isao Nakanishi; James Okello; Yoshio Itoh (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Complex-Valued Bipartite Auto-Associative Memory. - Yozo Suzuki; Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Projection Rule for Rotor Hopfield Neural Networks. - Michimasa Kitahara; Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2014)

On the performance of Quaternionic Bidirectional Auto-Associative Memory. - Toshifumi Minemoto; Teijiro Isokawa; Nobuyuki Matsui; Masaki Kobayashi; Haruhiko Nishimura (IJCNN, 2015)

Bias free adaptive notch filter based on SSCF algorithm with decorrelation parameter. - Makoto Tsuchiya; Naoto Sasaoka; Yoshio Itoh; Kazuki Shiogai; Masaki Kobayashi (ISCIT, 2015)

Hybrid Quaternionic Hopfield Neural Network. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Uniqueness Theorem of Complex-Valued Neural Networks with Polar-Represented Activation Function. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Pattern Retrieval by Quaternionic Associative Memory with Dual Connections. - Toshifumi Minemoto; Teijiro Isokawa; Masaki Kobayashi; Haruhiko Nishimura; Nobuyuki Matsui (ICONIP (3), 2016)

Retrieval performance of Hopfield Associative Memory with Complex-valued and Real-valued neurons. - Toshifumi Minemoto; Teijiro Isokawa; Nobuyuki Matsui; Masaki Kobayashi; Haruhiko Nishimura (IJCNN, 2016)

Global Hyperbolic Hopfield Neural Networks. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Modified subband adaptive notch filters for eliminating multiple sinusoids with reduced bias and faster convergence. - Yasutomo Kinugasa; Tapio Saramäki; Yoshio Itoh; Naoto Sasaoka; Kazuki Shiogai; Masaki Kobayashi (ISCAS, 2017)

Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules. - Masaki Kobayashi (Comput. Intell. Neurosci., 2017)

Three-Dimensional Quaternionic Hopfield Neural Networks. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Simplification of Liquid Dielectric Property Evaluation Based on Comparison with Reference Materials and Electromagnetic Analysis Using the Cut-Off Waveguide Reflection Method. - Kouji Shibata; Masaki Kobayashi (IEICE Trans. Electron., 2017)

Symmetric quaternionic Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2017)

Chaotic pseudo-orthogonalized Hopfield associative memory. - Masaki Kobayashi (Neurocomputing, 2017)

Gradient descent learning for quaternionic Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2017)

Quaternionic Hopfield neural networks with twin-multistate activation function. - Masaki Kobayashi (Neurocomputing, 2017)

Fixed points of split quaternionic hopfield neural networks. - Masaki Kobayashi (Signal Process., 2017)

Uniqueness theorem for quaternionic neural networks. - Masaki Kobayashi (Signal Process., 2017)

Symmetric Complex-Valued Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction. - Masaki Matsubara; Masaki Kobayashi; Atsuyuki Morishima (IEEE BigData, 2018)

An Empirical Study on Short- and Long-Term Effects of Self-Correction in Crowdsourced Microtasks. - Masaki Kobayashi; Hiromi Morita; Masaki Matsubara; Nobuyuki Shimizu; Atsuyuki Morishima (HCOMP, 2018)

Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks. - Masaki Kobayashi (Comput. Intell. Neurosci., 2018)

Multistate vector product hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2018)

Fixed points of symmetric complex-valued Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2018)

Hyperbolic Hopfield neural networks with directional multistate activation function. - Masaki Kobayashi (Neurocomputing, 2018)

Storage capacity of rotor Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2018)

Twin-multistate commutative quaternion Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2018)

Stability of Rotor Hopfield Neural Networks With Synchronous Mode. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Decomposition of Rotor Hopfield Neural Networks Using Complex Numbers. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Singularities of Three-Layered Complex-Valued Neural Networks With Split Activation Function. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. - Masafumi Hayashi; Masaki Kobayashi; Masaki Matsubara; Toshiyuki Amagasa; Atsuyuki Morishima (IEEE BigData, 2019)

Active Learning Strategies for Hierarchical Labeling Microtasks. - Kousuke Uo; Masaki Kobayashi; Masaki Matsubara; Yukino Baba; Atsuyuki Morishima (IEEE BigData, 2019)

Storage capacity of hyperbolic Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2019)

O(2)-Valued Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2019)

Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry. - Tohru Nitta; Masaki Kobayashi; Danilo P. Mandic (IEEE Trans. Signal Process., 2019)

Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response -Case Study of International Disaster Response in 2019-. - Munenari Inoguchi; Keiko Tamura; Kousuke Uo; Masaki Kobayashi (IEEE BigData, 2020)

A System for Worldwide COVID-19 Information Aggregation. - Akiko Aizawa; Frédéric Bergéron; Junjie Chen; Fei Cheng 002; Katsuhiko Hayashi 001; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; et al. (NLP4COVID@EMNLP, 2020)

Quality-aware Dynamic Task Assignment in Human+AI Crowd. - Masaki Kobayashi; Kei Wakabayashi; Atsuyuki Morishima (WWW (Companion Volume), 2020)

Reducibilities of hyperbolic neural networks. - Masaki Kobayashi (Neurocomputing, 2020)

Hopfield neural networks using Klein four-group. - Masaki Kobayashi (Neurocomputing, 2020)

Matrix-valued twin-multistate Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2020)

Diagonal rotor Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2020)

Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode. - Masaki Kobayashi (Neural Comput., 2020)

Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks. - Masaki Kobayashi (Neural Comput., 2020)

Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information. - Ying Zhong; Masaki Kobayashi; Masaki Matsubara; Atsuyuki Morishima (IEEE BigData, 2021)

Human+AI Crowd Task Assignment Considering Result Quality Requirements. - Masaki Kobayashi; Kei Wakabayashi; Atsuyuki Morishima (HCOMP, 2021)

Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks. - Masaki Kobayashi; Hiromi Morita; Masaki Matsubara; Nobuyuki Shimizu; Atsuyuki Morishima (Hum. Comput., 2021)

Synthesis of complex- and hyperbolic-valued Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2021)

Complex-valued Hopfield neural networks with real weights in synchronous mode. - Masaki Kobayashi (Neurocomputing, 2021)

Information geometry of hyperbolic-valued Boltzmann machines. - Masaki Kobayashi (Neurocomputing, 2021)

Bicomplex-valued twin-hyperbolic Hopfield neural networks. - Masaki Kobayashi (Neurocomputing, 2021)

Hyperbolic-valued Hopfield neural networks in hybrid mode. - Masaki Kobayashi (Neurocomputing, 2021)

Stability Conditions of Bicomplex-Valued Hopfield Neural Networks. - Masaki Kobayashi (Neural Comput., 2021)

Noise Robust Projection Rule for Klein Hopfield Neural Networks. - Masaki Kobayashi (Neural Comput., 2021)

Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections. - Masaki Kobayashi (Neural Comput., 2021)

Quaternion-Valued Twin-Multistate Hopfield Neural Networks With Dual Connections. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Quaternion Projection Rule for Rotor Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Two-Level Complex-Valued Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Crowdsourcing for Semantic Segmentation Considering Human Cognitive Characteristics. - Masaki Kobayashi; Hiromi Morita; Atsuyuki Morishima (HCI (37), 2022)

HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. - Yu Yamashita; Hiroyoshi Ito; Kei Wakabayashi; Masaki Kobayashi; Atsuyuki Morishima (WebSci, 2022)

Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation. - Wongsakorn Preedanan; Kenji Suzuki 001; Toshiaki Kondo; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii; Itsuo Kumazawa (IEEE Access, 2022)

Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks. - Masaki Kobayashi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN. - Srisopitsawat Pavarut; Wongsakorn Preedanan; Itsuo Kumazawa; Kenji Suzuki 001; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii (IEEE Access, 2023)

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach. - Wongsakorn Preedanan; Kenji Suzuki 001; Toshiaki Kondo; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii; Itsuo Kumazawa (IEEE Access, 2023)

Generation of IDS Signatures through Exhaustive Execution Path Exploration in PoC Codes for Vulnerabilities. - Masaki Kobayashi; Yo Kanemoto; Daisuke Kotani; Yasuo Okabe (J. Inf. Process., 2023)

Optimizing Availability Decomposition for Network Slicing using Bandit Algorithms. - Masaki Kobayashi; Akito Suzuki; Masahiro Kobayashi (ICCCN, 2025)

Quaternionic Vector Product Hopfield Network. - Masaki Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Dielectric Measurement for Liquids Using a Coaxial-Feed Type Large-Bore Cut-Off Circular Waveguide with Good Repeatability. - Kouji Shibata; Masaki Kobayashi (IEICE Trans. Electron., 2025)