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2020 – today
- 2023
[j66]Wongsakorn Preedanan
, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa:
Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach. IEEE Access 11: 25702-25712 (2023)- [j65]Srisopitsawat Pavarut, Wongsakorn Preedanan, Itsuo Kumazawa, Kenji Suzuki, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii:
Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN. IEEE Access 11: 146250-146261 (2023) - [j64]Masaki Kobayashi, Yo Kanemoto, Daisuke Kotani, Yasuo Okabe:
Generation of IDS Signatures through Exhaustive Execution Path Exploration in PoC Codes for Vulnerabilities. J. Inf. Process. 31: 591-601 (2023) - 2022
- [j63]Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa:
Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation. IEEE Access 10: 115131-115142 (2022) - [j62]Masaki Kobayashi:
Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(2): 567-576 (2022) - [c37]Masaki Kobayashi, Hiromi Morita, Atsuyuki Morishima:
Efficient Crowdsourcing for Semantic Segmentation Considering Human Cognitive Characteristics. HCI (37) 2022: 300-307 - [c36]Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima:
HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. WebSci 2022: 118-128 - 2021
- [j61]Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima:
Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks. Hum. Comput. 8(1): 1-24 (2021) - [j60]Masaki Kobayashi:
Synthesis of complex- and hyperbolic-valued Hopfield neural networks. Neurocomputing 423: 80-88 (2021) - [j59]Masaki Kobayashi:
Complex-valued Hopfield neural networks with real weights in synchronous mode. Neurocomputing 423: 535-540 (2021) - [j58]Masaki Kobayashi:
Information geometry of hyperbolic-valued Boltzmann machines. Neurocomputing 431: 163-168 (2021) - [j57]Masaki Kobayashi:
Bicomplex-valued twin-hyperbolic Hopfield neural networks. Neurocomputing 434: 203-210 (2021) - [j56]Masaki Kobayashi:
Hyperbolic-valued Hopfield neural networks in hybrid mode. Neurocomputing 440: 275-278 (2021) - [j55]Masaki Kobayashi:
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks. Neural Comput. 33(2): 552-562 (2021) - [j54]Masaki Kobayashi:
Noise Robust Projection Rule for Klein Hopfield Neural Networks. Neural Comput. 33(6): 1698-1716 (2021) - [j53]Masaki Kobayashi:
Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections. Neural Comput. 33(8): 2226-2240 (2021) - [j52]Masaki Kobayashi:
Quaternion-Valued Twin-Multistate Hopfield Neural Networks With Dual Connections. IEEE Trans. Neural Networks Learn. Syst. 32(2): 892-899 (2021) - [j51]Masaki Kobayashi:
Quaternion Projection Rule for Rotor Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(2): 900-908 (2021) - [j50]Masaki Kobayashi:
Two-Level Complex-Valued Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2274-2278 (2021) - [c35]Ying Zhong, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima:
Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information. IEEE BigData 2021: 3580-3583 - [c34]Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima:
Human+AI Crowd Task Assignment Considering Result Quality Requirements. HCOMP 2021: 97-107 - 2020
- [j49]Masaki Kobayashi:
Reducibilities of hyperbolic neural networks. Neurocomputing 378: 129-141 (2020) - [j48]Masaki Kobayashi:
Hopfield neural networks using Klein four-group. Neurocomputing 387: 123-128 (2020) - [j47]Masaki Kobayashi:
Matrix-valued twin-multistate Hopfield neural networks. Neurocomputing 397: 108-113 (2020) - [j46]Masaki Kobayashi:
Diagonal rotor Hopfield neural networks. Neurocomputing 415: 40-47 (2020) - [j45]Masaki Kobayashi:
Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode. Neural Comput. 32(9): 1685-1696 (2020) - [j44]Masaki Kobayashi:
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks. Neural Comput. 32(11): 2237-2248 (2020) - [j43]Masaki Kobayashi:
Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(1): 352-356 (2020) - [c33]Munenari Inoguchi, Keiko Tamura, Kousuke Uo, Masaki Kobayashi:
Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response -Case Study of International Disaster Response in 2019-. IEEE BigData 2020: 3062-3071 - [c32]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c31]Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima:
Quality-aware Dynamic Task Assignment in Human+AI Crowd. WWW (Companion Volume) 2020: 118-119 - [i1]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020)
2010 – 2019
- 2019
- [j42]Masaki Kobayashi:
Storage capacity of hyperbolic Hopfield neural networks. Neurocomputing 369: 185-190 (2019) - [j41]Masaki Kobayashi:
O(2)-Valued Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3833-3838 (2019) - [j40]Tohru Nitta, Masaki Kobayashi, Danilo P. Mandic:
Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry. IEEE Trans. Signal Process. 67(15): 3985-3994 (2019) - [c30]Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima:
Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. IEEE BigData 2019: 4596-4601 - [c29]Kousuke Uo, Masaki Kobayashi, Masaki Matsubara, Yukino Baba, Atsuyuki Morishima:
Active Learning Strategies for Hierarchical Labeling Microtasks. IEEE BigData 2019: 4647-4650 - 2018
- [j39]Masaki Kobayashi:
Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks. Comput. Intell. Neurosci. 2018: 1275290:1-1275290:5 (2018) - [j38]Masaki Kobayashi:
Multistate vector product hopfield neural networks. Neurocomputing 272: 425-431 (2018) - [j37]Masaki Kobayashi:
Fixed points of symmetric complex-valued Hopfield neural networks. Neurocomputing 275: 132-136 (2018) - [j36]Masaki Kobayashi:
Hyperbolic Hopfield neural networks with directional multistate activation function. Neurocomputing 275: 2217-2226 (2018) - [j35]Masaki Kobayashi:
Storage capacity of rotor Hopfield neural networks. Neurocomputing 316: 30-33 (2018) - [j34]Masaki Kobayashi:
Twin-multistate commutative quaternion Hopfield neural networks. Neurocomputing 320: 150-156 (2018) - [j33]Masaki Kobayashi:
Stability of Rotor Hopfield Neural Networks With Synchronous Mode. IEEE Trans. Neural Networks Learn. Syst. 29(3): 744-748 (2018) - [j32]Masaki Kobayashi:
Decomposition of Rotor Hopfield Neural Networks Using Complex Numbers. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1366-1370 (2018) - [j31]Masaki Kobayashi:
Singularities of Three-Layered Complex-Valued Neural Networks With Split Activation Function. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1900-1907 (2018) - [c28]Masaki Matsubara, Masaki Kobayashi, Atsuyuki Morishima:
A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction. IEEE BigData 2018: 3522-3528 - [c27]Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima:
An Empirical Study on Short- and Long-Term Effects of Self-Correction in Crowdsourced Microtasks. HCOMP 2018: 79-87 - 2017
- [j30]Masaki Kobayashi:
Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules. Comput. Intell. Neurosci. 2017: 4894278:1-4894278:6 (2017) - [j29]Masaki Kobayashi:
Three-Dimensional Quaternionic Hopfield Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(7): 1575-1577 (2017) - [j28]Kouji Shibata, Masaki Kobayashi:
Simplification of Liquid Dielectric Property Evaluation Based on Comparison with Reference Materials and Electromagnetic Analysis Using the Cut-Off Waveguide Reflection Method. IEICE Trans. Electron. 100-C(10): 908-917 (2017) - [j27]Masaki Kobayashi:
Symmetric quaternionic Hopfield neural networks. Neurocomputing 240: 110-114 (2017) - [j26]Masaki Kobayashi:
Chaotic pseudo-orthogonalized Hopfield associative memory. Neurocomputing 241: 147-151 (2017) - [j25]Masaki Kobayashi:
Gradient descent learning for quaternionic Hopfield neural networks. Neurocomputing 260: 174-179 (2017) - [j24]Masaki Kobayashi:
Quaternionic Hopfield neural networks with twin-multistate activation function. Neurocomputing 267: 304-310 (2017) - [j23]Masaki Kobayashi:
Fixed points of split quaternionic hopfield neural networks. Signal Process. 136: 38-42 (2017) - [j22]Masaki Kobayashi:
Uniqueness theorem for quaternionic neural networks. Signal Process. 136: 102-106 (2017) - [j21]Masaki Kobayashi:
Symmetric Complex-Valued Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(4): 1011-1015 (2017) - [c26]Yasutomo Kinugasa, Tapio Saramäki, Yoshio Itoh, Naoto Sasaoka, Kazuki Shiogai, Masaki Kobayashi:
Modified subband adaptive notch filters for eliminating multiple sinusoids with reduced bias and faster convergence. ISCAS 2017: 1-4 - 2016
- [j20]Masaki Kobayashi:
Global Hyperbolic Hopfield Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2511-2516 (2016) - [c25]Toshifumi Minemoto, Teijiro Isokawa, Masaki Kobayashi, Haruhiko Nishimura, Nobuyuki Matsui:
Pattern Retrieval by Quaternionic Associative Memory with Dual Connections. ICONIP (3) 2016: 317-325 - [c24]Toshifumi Minemoto, Teijiro Isokawa, Nobuyuki Matsui, Masaki Kobayashi, Haruhiko Nishimura:
Retrieval performance of Hopfield Associative Memory with Complex-valued and Real-valued neurons. IJCNN 2016: 4133-4138 - 2015
- [j19]Masaki Kobayashi:
Hybrid Quaternionic Hopfield Neural Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(7): 1512-1518 (2015) - [j18]Masaki Kobayashi:
Uniqueness Theorem of Complex-Valued Neural Networks with Polar-Represented Activation Function. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(9): 1937-1943 (2015) - [c23]Toshifumi Minemoto, Teijiro Isokawa, Nobuyuki Matsui, Masaki Kobayashi, Haruhiko Nishimura:
On the performance of Quaternionic Bidirectional Auto-Associative Memory. IJCNN 2015: 1-6 - [c22]Makoto Tsuchiya, Naoto Sasaoka, Yoshio Itoh, Kazuki Shiogai, Masaki Kobayashi:
Bias free adaptive notch filter based on SSCF algorithm with decorrelation parameter. ISCIT 2015: 21-24 - 2014
- [j17]Kazuki Shiogai, Naoto Sasaoka, Masaki Kobayashi, Isao Nakanishi, James Okello, Yoshio Itoh:
Bias Free Adaptive Notch Filter Based on Fourier Sine Series. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(2): 557-564 (2014) - [j16]Yozo Suzuki, Masaki Kobayashi:
Complex-Valued Bipartite Auto-Associative Memory. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(8): 1680-1687 (2014) - [j15]Michimasa Kitahara, Masaki Kobayashi:
Projection Rule for Rotor Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1298-1307 (2014) - [c21]Naoto Sasaoka, Kota Nakamura, Kazushi Otsuki, Yoshio Itoh, Masaki Kobayashi:
Pre-inverse type active noise control with bias free structure. ISCCSP 2014: 590-593 - 2013
- [j14]Masaki Kobayashi:
Hyperbolic Hopfield Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 24(2): 335-341 (2013) - [c20]Yozo Suzuki, Masaki Kobayashi:
Complex-valued bidirectional auto-associative memory. IJCNN 2013: 1-7 - [c19]Kazuki Shiogai, Naoto Sasaoka, Yoshio Itoh, Yasutomo Kinugasa, Masaki Kobayashi:
Fast convergence adaptive IIR notch filter using allpass filter and adaptive line enhancer. ISPACS 2013: 279-284 - 2012
- [j13]Masaki Kobayashi, Keisuke Kameyama:
A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. IEICE Trans. Inf. Syst. 95-D(10): 2522-2532 (2012) - [c18]Yozo Suzuki, Michimasa Kitahara, Masaki Kobayashi:
Rotor Associative Memory with a Periodic Activation Function. IJCNN 2012: 1-8 - [c17]Kazuki Shiogai, Naoto Sasaoka, Yoshio Itoh, Yasutomo Kinugasa, Masaki Kobayashi:
Bias free adaptive exponential notch filter with low constant delay. ISCAS 2012: 790-793 - [c16]Yusaku Tanaka, Naoto Sasaoka, Yoshio Itoh, Masaki Kobayashi:
Active noise control with bias free pre-inverse adaptive system. ISCAS 2012: 3222-3225 - [c15]Shinichi Wada, Naoto Sasaoka, Yoshio Itoh, James Okello, Masaki Kobayashi:
Speech enhancement based on bias free noise reconstruction method. ISPACS 2012: 479-484 - 2011
- [j12]Masaki Kobayashi, Hirofumi Yamada, Michimasa Kitahara:
Noise Robust Gradient Descent Learning for Complex-Valued Associative Memory. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(8): 1756-1759 (2011) - [c14]Yozo Suzuki, Michimasa Kitahara, Masaki Kobayashi:
Dynamic Complex-Valued Associative Memory with Strong Bias Terms. ICONIP (1) 2011: 509-518 - [c13]Yusaku Tanaka, Naoto Sasaoka, Yoshio Itoh, Masaki Kobayashi:
A study on active noise control based on preinverse adaptive system with bias free. ISPACS 2011: 1-5 - 2010
- [j11]Masaki Kobayashi:
Exceptional reducibility of complex-valued neural networks. IEEE Trans. Neural Networks 21(7): 1060-1072 (2010) - [c12]Michimasa Kitahara, Masaki Kobayashi:
Fundamental Abilities of Rotor Associative Memory. ACIS-ICIS 2010: 497-502
2000 – 2009
- 2008
- [j10]Masaki Kobayashi:
Boltzmann Machines with Identified States. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(3): 887-890 (2008) - [j9]Masaki Kobayashi:
Pseudo-Relaxation Learning Algorithm for Complex-Valued Associative Memory. Int. J. Neural Syst. 18(2): 147-156 (2008) - [c11]Ryuichi Kanagawa, Eiji Kuno, James Okello, Naoto Sasaoka, Yoshio Itoh, Masaki Kobayashi:
An equation error algorithm based on correlation function with variable delay. EUSIPCO 2008: 1-5 - [c10]Masaki Kobayashi, Keisuke Kameyama:
User-adaptive image clustering using relevance feedback for efficient content-based retrieval. SMC 2008: 2683-2688 - 2006
- [j8]Masaki Kobayashi, James Okello, Yoshio Itoh:
A Study on Pre-Inverse Adaptive System Based on Estimation of Minimum-Phase and Allpass Transfer Function. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(12): 2756-2764 (2006) - 2004
- [j7]Yoshiharu Hayashi, Mime Kobayashi, Katsuyoshi Sakaguchi, Nao Iwata, Masaki Kobayashi, Yo Kikuchi, Yoshimasa Takahashi:
Protein Classification Using Comparative Molecular Interaction Profile Analysis System. J. Bioinform. Comput. Biol. 2(3): 497-510 (2004) - 2003
- [j6]Yoshiharu Hayashi, Katsuyoshi Sakaguchi, Mime Kobayashi, Masaki Kobayashi, Yo Kikuchi, Eiichiro Ichiishi:
Molecular evaluation using in silico protein interaction profiles. Bioinform. 19(12): 1514-1523 (2003) - [c9]Yoshiharu Hayashi, Katsuyoshi Sakaguchi, Nao Iwata, Masaki Kobayashi:
Molecular Evaluation using Comparative Molecular Interaction Profile Analysis system. CSB 2003: 500-501 - [c8]Yasutomo Kinugasa, Yoshio Itoh, Masaki Kobayashi, Yutaka Fukui, James Okello:
A study on the step size of cascaded adaptive notch filter utilizing allpass filter. ISCAS (4) 2003: 401-404 - 2002
- [j5]Masaki Kobayashi, Motonobu Hattori, Haruaki Yamazaki:
Multidirectional associative memory with a hidden layer. Syst. Comput. Jpn. 33(6): 1-9 (2002) - [j4]Masaaki Hanaoka, Masaki Kobayashi, Haruaki Yamazaki:
Automatic sleep stage scoring based on waveform recognition method and decision-tree learning. Syst. Comput. Jpn. 33(11): 1-13 (2002) - 2001
- [j3]Tomo Munehisa, Masaki Kobayashi, Haruaki Yamazaki:
Cooperative updating in the Hopfield model. IEEE Trans. Neural Networks 12(5): 1243-1251 (2001) - [c7]James Okello, T. Kinugasa, Yoshio Itoh, Yutaka Fukui, Masaki Kobayashi:
A new unbiased equation error algorithm for IIR ADF and its application to ALE. ICASSP 2001: 3737-3740 - [c6]Yasutomo Kinugasa, James Okello, Yoshio Itoh, Masaki Kobayashi, Yutaka Fukui:
A new algorithm for adaptive notch filter with sub-band filtering. ISCAS (2) 2001: 817-820 - [c5]James Okello, Yasutomo Kinugasa, Yoshio Itoh, Yutaka Fukui, Masaki Kobayashi:
A new unbiased online algorithm for equation error IIR ADF. ISCAS (2) 2001: 821-824 - 2000
- [c4]Yuji Sakamoto, Masaki Kobayashi:
Evaluation of the Effects of Noises by Experiments Using a Mobile Robot. GECCO 2000: 386 - [c3]James Okello, Shin'ichi Arita, Yoshio Itoh, Yutaka Fukui, Masaki Kobayashi:
A new architecture for implementing pipelined ADF. ISCAS 2000: 365-368 - [c2]James Okello, Shin'ichi Arita, Yoshio Itoh, Yutaka Fukui, Masaki Kobayashi:
An adaptive notch filter for eliminating multiple sinusoids with reduced bias. ISCAS 2000: 551-554 - [c1]Masaaki Hanaoka, Masaki Kobayashi, Haruaki Yamazaki:
RWS (Random Walk Splitting): A Random Walk Based Discretization of Continuous Attributes. PRICAI 2000: 146-155
1990 – 1999
- 1993
- [j2]Naoki Mikami, Masaki Kobayashi, Yukiko Yokoyama:
Roundoff-error reduction for evaluation of a function by polynomial approximation with error feedback in fixed-point arithmetic. IEEE Trans. Signal Process. 41(5): 1953-1955 (1993) - 1992
- [j1]Naoki Mikami, Masaki Kobayashi, Yukiko Yokoyama:
A new DSP-oriented algorithm for calculation of the square root using a nonlinear digital filter. IEEE Trans. Signal Process. 40(7): 1663-1669 (1992)
Coauthor Index
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