Kato Lab

	2026
	Yuto Tsuzuki, Miya Nakajima, Tomoki Mizutani, Masaya Shimoike, Tsuyoshi Kato: JA-Celeb: An in-the-Wild Japanese Audio-Visual Speaker Verification Dataset, APSIPA Annual Summit and Conference 2026, accepted.
	Li Yang, Ryoya Yahagi. Kaito Sekine, Gakuto Obi Tsuyoshi Kato: Fast and Reliable Small-Data Learning: LLM-Driven Sign-Constrained Kernel Machines, ECML-PKDD 2026, accepted. (Acceptance rate 24%)
	Miya Nakajima, Kazuki Miyakoshi, Tsuyoshi Kato: AngularDINO: Semi-supervised anomaly detection via self-distillation with hybrid angular margin, ICCASP 2026, accepted.
	2025
	安藤佑咲, 中島未椰, 斎藤隆泰, 加藤毅，自己教師あり学習に基づくレーザー超音波可視化検査のための欠陥検出，AI・データサイエンス論文集，2025 年，採択済．
	Gakuto Obi, Ayato Saito, Yuto Sasaki and Tsuyoshi Kato, Linearly Convergent Mixup Learning, 2025 IEEE International Symposium on Information Theory (ISIT 2025), 2025年6月22日～2025年6月27日, Ann Arbor, Michigan.
	Takahiro Saitoh, Tsuyoshi Kato, and Sohichi Hirose, Automatic Detection of Concrete Surface Defects Using PRE-TRAINED CNN and Laser Ultrasonic Visualization Testing. International Journal of Prognostics and Health Management, Oct 8, 2024, doi:10.36001/ijphm.2024.v15i3.3855.
	2024
	Rikuto Mochida, Miya Nakajima, Haruki Ono, Takahiro Ando, Tsuyoshi Kato, Mixup SVM Learning for Compound Toxicity Prediction Using Human Pluripotent Stem Cells, IEICE Transactions on Information & Systems, Vol.E107-D,No.12,pp.1542–-1545, Dec. 2024, doi: 10.1587/transinf.2024edl8040
	Yuya Takada, Rikuto Mochida, Miya Nakajima, Syun-suke Kadoya, Daisuke Sano, Tsuyoshi Kato, Stochastic Dual Coordinate Ascent for Learning Sign Constrained Linear Predictors, IEICE Transactions on Information & Systems, Vol.E107-D,No.12,pp.1493–-1503, Dec. 2024, doi:10.1587/transinf.2023edp7139
	Takahiro Saitoh, Tsuyoshi Kato, and Sohichi Hirose, Automatic Detection of Concrete Surface Defects Using PRE-TRAINED CNN and Laser Ultrasonic Visualization Testing. International Journal of Prognostics and Health Management, Oct 8, 2024, doi:10.36001/ijphm.2024.v15i3.3855.
	Miya Nakajima, Takahiro Saitoh, Tsuyoshi Kato, Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing with Style Transfer, International journal of Intelligence, Informatics and Infrastructure, 2024, Volume 5, Number 1, pp. 25--33.
	Takahiro Saitoh, Yuto Kuwabara and Tsuyoshi Kato, Determination of the Presence or Absence of Defect for Laser Ultrasonic Visualization Testing Using Transfer Learning, Olympiad in Engineering Science – OES 2023. published in Advances in Computational Mechanics and Applications, 2, pp.80-92, (2024), Springer.
	Yuya Takada, Syun-suke Kadoya, Daisuke Sano, Tsuyoshi Kato, Multi-Target Tobit Models for Completing Water Quality Data, IPSJ Transactions on Mathematical Modeling and its Applications (TOM), Vol.17 No.2 21–29 (Mar. 2024).
	2023
	Miya Nakajima, Takahiro Saitoh, Tsuyoshi Kato, A Study on Deep CNN Structures for Defect Detection From Laser Ultrasonic Visualization Testing Images, Intelligence, Informatics and Infrastructure, 2023 Volume 4 Issue 3 pp.1-11 DOI 10.11532/jsceiiai.4.3_1.
	Takahiro Saitoh, Syumpei Ohyama, Tsuyoshi Kato, Sohichi Hirose，Automatic Detection of Concrete Surface Defects Using Deep Learning and Laser Ultrasonic Visualization Testing，4th Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP2023), DOI https://doi.org/10.36001/phmap.2023.v4i1.3673
	2022
	中島未椰，斎藤隆泰，加藤毅：レーザ超音波可視化試験における欠陥検出のための深層 CNN 構造の検討，土木学会 AI・データサイエンス論文集，採択済み．
	Kenya Tajima, Takahiko Henmi, Tsuyoshi Kato, Frank-Wolfe for Sign-Constrained Support Vector Machines, Vol.E105-D,No.10,pp.1734-1742,Oct. 2022, DOI: 10.1587/transinf.2022EDP7069
	Takahiko Henmi and Tsuyoshi Kato, Modeling Pooling Layers For CNN Initialization, IPSJ Transactions on Mathematical Modeling and its Applications (TOM), 15(3),29-37 (2022-07-26) , 1882-7780,
	2021
	Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato, Frank-Wolfe algorithm for learning SVM-type multi-category classifiers, Vol.E104-D,No.11,pp.-,Nov. 2021. DOI: 10.1587/transinf.2021EDP7025
	Takahiko Henmi, Esmeraldo Ronnie Rey Zara, Yoshihiro Hirohashi, Tsuyoshi Kato, Adaptive Signal Variances: CNN Initialization Through Modern Architectures, 28th IEEE International Conference on Image Processing (IEEE-ICIP). pp.374-378, DOI: 10.1109/ICIP42928.2021.9506280
	HongYuan Cao and Tsuyoshi Kato, Asymmetric Tobit analysis for correlation estimation from censored data, IEICE Transactions on Information & Systems, Vol.E104-D,No.10,pp.-,Oct. 2021.DOI: 10.1587/transinf.2021EDP7022
	Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato, Frank-Wolfe algorithm for learning SVM-type multi-category classifiers, SIAM International Conference on Data Mining (SDM21), (acceptance rate of 21.25%)
	Kenya Tajima, Kouhei Tsuchida, Esmeraldo Ronnie Rey Zara, Naoya Ohta, Tsuyoshi Kato, Learning Sign-Constrained Support Vector Machines, 2020 25th International Conference on Pattern Recognition, pp.3264--3271.
	2020
	Osamu Takaki, Ichiro Suzuta, Kota Torikai, Yuichiro Saito, Tsuyoshi Kato, Tetsuya Sato, Hiroki Endo, Yoshifumi Atarashi, Evaluation of a Network Switch with Whitelist-Based Packet Monitoring and Control in Hospital Networks, Advanced Engineering Forum (Volume 38), pp. 222-232, Nov 2020, doi:10.4028/www.scientific.net/AEF.38.222
	Yoshihiro Hirohashi, Tsuyoshi Kato, Learning Weighted Top-k Support Vector Machine, IPSJ Journal, Volume 28 pp. 387--393, 10.2197/ipsjjip.28.387.
	Yoshihiro Hirohashi, Tsuyoshi Kato, Corrected Stochastic Dual Coordinate Ascent for Top-k SVM, IEICE Transactions on Information & Systems, Vol. E103.D, No. 11, pp.2323-2331, doi: 10.1587/transinf.2019EDP726
	Andri Taruna Rachmadi, Masaaki Kitajima, Tsuyoshi Kato, Hiroyuki Kato, Satoshi Okabe, Daisuke Sano, Required chlorination doses to fulfill the credit value for disinfection of enteric viruses in water: A critical review, Environmental Science & Technology, 54, 4, 2068–2077, 10.1021/acs.est.9b01685, 2018 IF=7.149.
	2019
	Tsuyoshi Kato, Yoshihiro Hirohashi: Learning Weighted Top-k Support Vector Machine, Proceedings of The Eleventh Asian Conference on Machine Learning, PMLR 101:774-789, 2019.
	Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-suke Kadoya, Satoshi Okabe, Naoya Ohta, Mohan Amarasiri, and Daisuke Sano, Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets, Journal of Water and Health. 17 (3): 404–415, 2019 IF=1.352, DOI: 10.2166/wh.2019.001.
	Rachelle Rivero, Yuya Onuma, Tsuyoshi Kato, Threshold Auto-Tuning Metric Learning, IEICE Transactions on Information & Systems, Vol.E102-D,No.06,pp.-,Jun. 2019. DOI: 10.1587/transinf.2018EDP7145
	2018
	Rachelle Rivero, Tsuyoshi Kato, Parametric Models for Mutual Kernel Matrix Completion, IEICE Transactions on Information & Systems, Vol.E101-D,No.12,pp.2976-2983, Dec. 2018. doi: 10.1587/transinf.2018EDP7139
	Eisuke Ito, Takaaki Sato, Daisuke Sano, Etsuko Utagawa, Tsuyoshi Kato, Virus Particle Detection by Convolutional Neural Network in Transmission Electron Microscopy Images, Food and Environmental Virology, 10(2), 201-208. doi: 10.1007/s12560-018-9335-7. [japanese]
	Miguel Varela, Imen Ouardani, Tsuyoshi Kato, Syunsuke Kadoya, Mahjoub Aouni, Daisuke Sano, and Jesús Romalde, Sapovirus in wastewater treatment plants in Tunisia: Prevalence, removal, and genetic characterization, Applied and Environmental Microbiology, 2018 Mar 1;84(6). pii: e02093-17.. doi: 10.1128/AEM.02093-17, IF=3.807 currently.
	J. Yamane, S. Aburatani, S. Imanishi, H. Akanuma, R. Nagano, T. Kato, H. Sone, S. Ohsako, W. Fujibuchi, Construction of high-precision chemical prediction system using human ESCs, Volume 138 (2018) Issue 6 Pages 815-822 YAKUGAKU ZASSHI, 10.1248/yakushi.17-00213-2
	2017
	Toshihiro Ito, Masaaki Kitajima, Tsuyoshi Kato,Satoshi Ishii, Takahiro Segawa, Satoshi Okabe, Daisuke Sano, Target virus log10 reduction values determined for two reclaimed wastewater irrigation scenarios in Japan based on tolerable annual disease burden. Water Research. Nov 15;125:438-448. doi: 10.1016/j.watres.2017.08.057, 2017 IF=5.991.
	Rachelle Rivero, Richard Lemence, Tsuyoshi Kato, Mutual Kernel Matrix Completion, IEICE Transactions on Information & Systems, Vol.E101-D,No.8,pp.1844--1851,Aug. 2018. [bibtex][pdf][japanese]
	Tomoki Matsuzawa, Eisuke Ito, Raissa Relator, Jun Sese, Tsuyoshi Kato, Stochastic Dykstra Algorithms for Distance Metric Learning with Covariance Descriptors, IEICE Transactions on Information & Systems, Vol.E100-D,No.4,pp.-,Apr. 2017. [bibtex]
	Naohiro Kobayashi, Mamoru Oshiki, Toshihiro Ito, Takahiro Segawa, Masashi Hatamoto, Tsuyoshi Kato, Takashi Yamaguchi, Kengo Kubota, Masanobu Takahashi, Akinori Iguchi, Tadashi Tagawa, Tsutomu Okubo, Shigeki Uemura, Hideki Harada, Toshiki Motoyama, Nobuo Araki, Daisuke Sano, Removal of human pathogenic viruses in a down-flow hanging sponge (DHS) reactor treating municipal wastewater and health risks associated with utilization of the effluent for agricultural irrigation, Water Research, vol 110, pp.389--398, Mar, 2017, doi: j.watres.2016.10.054, IF=5.991 currently． [bibtex]
	伊藤寿宏，押木守，小林直央，加藤毅，瀬川高弘，幡本将史，山口隆司，原田秀樹，北島正章，岡部聡，佐野大輔，下水再生処理におけるヒト腸管系ウイルスの目標除去効率の算定法，土木学会論文集，Vol. 72 (2016) No. 7 p. III_305-III_313 doi: jscejer.72.III_305．
	2016
	Osamu Takaki, Tsuyoshi Kato, Atsuko Sugimoto, Kota Torikai, Hiroki Endo, Yuichiro Saito: Analysis of Nurse Call Data Based on the Medical Care Process, International Interdisciplinary Journal, Vol.20, No.1(B), pp.643--665, January, 2017, presented in The 2016 International Conference on Science and Engineering in Biology, Medical and Public Health (BioMedPub2016), Jakarta, Oct 8-9, 2016, Best paper award. [bibtex]
	Toshihiro Ito, Tsuyoshi Kato, Makoto Hasegawa, Hiroyuki Katayama, Satoshi Ishii, Satoshi Okabe, Daisuke Sano: Evaluation of virus reduction efficiency in wastewater treatment unit processes as a credit value in the multiple-barrier system for wastewater reclamation and reuse, Journal of Water and Health, , vol 14, no. 5, pp.879--889, Oct 2016, doi: 10.2166/wh.2016.096 [bibtex]
	Eisuke Ito, Yusuke Tomaru, Akira Iizuka, Hirokazu Hirai and Tsuyoshi Kato, Adaptive Local Thresholding for Co-localization Detection in Multi-Channel Fluorescence Microscopic Images, IEICE Transactions on Information & Systems, Vol.E99-D,No.11,pp.2851--2855,Nov. 2016. [pdf][bibtex]
	Tomoki Matsuzawa, Raissa Relator, Jun Sese, Tsuyoshi Kato, "Stochastic Dykstra Algorithms for Metric Learning with Positive Definite Covariance Descriptors" The 14th European Conference on Computer Vision (ECCV2016) – Amsterdam, The Netherlands, published in Computer Vision - ECCV2016, Lecture Notes in Computer Science (LNCS), ISBN 978-3-319-46466-4, pp. 786-799. [pdf][bibtex][japanese]
	小林彩乃・佐野大輔・加藤毅・伊藤寿宏・宮村明帆・三浦尚之・石井聡・岡部聡，水中病原体の許容感染リスクに基づいた水質衛生基準候補値の算出方法に関する提案，土木学会論文集，Vol 72, No 3, 40-49, 2016．
	Junko Yamane, Sachiyo Aburatani, Satoshi Imanishi, Hiromi Akanuma, Reiko Nagano, Tsuyoshi Kato, Hideko Sone, Seiichiroh Ohsako and Wataru Fujibuchi, Prediction of Developmental Chemical Toxicity based on Gene Networks of Human Embryonic Stem Cells, Nucleic Acids Research, vol 44, no. 12, pp. 5515–5528, 8 July 2016, 10.1093/nar/gkw450. IF=9.112 currently. [bibtex]
	Tsuyoshi Kato, Ayano Kobayashi, Toshihiro Ito, Takayuki Miura, Satoshi Ishii, Satoshi Okabe, Daisuke Sano, Estimation of concentration ratio of indicator to pathogen-related gene in environmental water based on left-censored data, Journal of Water and Health, vol. 14, no. 1, pp.14--25, Feb 2016, doi:10.2166/wh.2015.029. IF=1.458 currently. [bibtex]
	Yoshihiro Hirohashi, Akira Tanaka, Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, Tsuyoshi Kato, Yasuyuki Shiraishi, Hidekazu Miura, Tomoyuki Yambe, Sensorless cardiac phase detection for synchronized control of ventricular assist devices using nonlinear kernel regression model, Journal of Artificial Organs, 2016, Jun;19(2):114-20. doi: 10.1007/s10047-015-0880-7. Epub 2016 Jan 13.. [bibtex]
	Raissa Relator, Nozomi Nagano, Tsuyoshi Kato: Using Bregmann Divergence Regularized Machine For Comparison of Molecular Local Structures, IEICE Transactions on Information & Systems Vol.E99-D,No.1,pp.275--278, Jan. 2016. [bibtex][pdf][japanese ppt][japanese techrep]
	2015
	Tsuyoshi Kato, Raissa Relator, Hayliang Ngouv, Yoshihiro Hirohashi, Osamu Takaki, Tetsuhiro Kakimoto, and Kinya Okada "Segmental HOG: New Descriptor for Glomerulus Detection in Kidney Microscopy Image" BMC Bioinformatics, Sept 2015, 16:316, doi: 10.1186/s12859-015-0739-1, 2015 IF=2.912. [pdf][bibtex][japanese poster][japanese techrep].
	Toshihiro Ito, Tsuyoshi Kato, Kenta Takagishi, Satoshi Okabe, and Daisuke Sano, Bayesian modeling of virus removal efficiency in wastewater treatment processes, Water Science and Technology, Nov 2015;72(10):1789-95. doi: 10.2166/wst.2015.402.. [bibtex]
	Tomoki Matsuzawa, Raissa Relator, Wataru Takei, Shinichiro Omachi and Tsuyoshi Kato, Mahalanobis Encodings for Visual Categorization, IPSJ Transactions on Computer Vision and Applications, vol 7, pp.69--73, 2015, Jul, presented at MIRU2015 as Oral Presentation. doi: 10.2197/ipsjtcva.7.1. MIRU2015 student award. [pdf][long version][bibtex][japanese]
	Tetsuhiro Kakimoto, Kinya Okada, Keisuke Fujitaka, Masashi Nishio, Tsuyoshi Kato, Atsushi Fukunari, and Hiroyuki Utsumi, Quantitative analysis of markers of podocyte injury in the rat puromycin aminonucleoside nephropathy model, Experimental and Toxicologic Pathology, 67(2):171-177, Feb, 2015. IF=1.86.[bibtex]
	Nozomi Nagano, Naoko Nakayama, Kazuyoshi Ikeda, Masaru Fukuie, Kiyonobu Yokota, Takuo Doi, Tsuyoshi Kato, Kentaro Tomii, EzCatDB: the enzyme reaction database, 2015 update, Nucleic Acids Research, 43(Database issue):D453-8. doi: 10.1093/nar/gku946, Jan 28, 2015. IF=9.202. [bibtex]
	2014
	Raissa Relator, Tsuyoshi Kato, Takuma Tomaru, Naoya Ohta, Fuzzy Multiple Subspace Fitting for Anomaly Detection, IEICE Transactions on Information & Systems, Vol.E97-D,No.10,pp.2730-2738.,Oct. 2014, [pdf][bibtex][japanese]
	Tetsuhiro Kakimoto, Kinya Okada, Yoshihiro Hirohashi, Raissa Relator, Mizue Kawai, Taku Iguchi, Keisuke Fujitaka, Masashi Nishio, Tsuyoshi Kato, Atsushi Fukunari, Hiroyuki Utsumi, Automated image analysis of a glomerular injury marker desmin in SDT rats treated with losartan, Journal of Endocrinology, 222 (1) 43-51, doi: 10.1530/JOE-14-0164, 2014, July. IF=3.72. [bibtex]
	Yoshihiro Hirohashi, Raissa Relator, Tetsuhiro Kakimoto, Ryuta Saito, Yasushi Horai, Atsushi Fukunari, Hiroyuki Utsumi, Kinya Okada, Tsuyoshi Kato: "Automated Quantitative Image Analysis of Glomerular Desmin Immunostaining as a Sensitive Injury Marker in Spontaneously Diabtic Torii Rats", Journal of Biomedical Imaging Processing, vol.1, issue 1, pp.20-28, 2014, May. [pdf][bibtex]
	Raissa Relator, Yoshihiro Hirohashi, Eisuke Ito, Tsuyoshi Kato, Mean Polynomial Kernel and Its Application to Vector Sequence Recognition, IEICE Transactions on Information & Systems, Vol.E97-D,No.7,pp.1855-1863, 2014, Jul. IF=0.21. [pdf][bibtex][japanese]
	Akira Hafuka, Hiroaki Yoshikawa, Koji Yamada, Tsuyoshi Kato, Masahiro Takahashi, Satoshi Okabe, Hisashi Satoh, "Application of Fluorescence Spectroscopy Using a Novel Fluoroionophore for Quantification of Zinc in Urban Runoff" Water Research, vol 54, no 1, pp.12-20, May, 2014. IF=5.53. [bibtex]
	2013
	Tsuyoshi Kato, Takayuki Miura, Satoshi Okabe and Daisuke Sano, "Bayesian modeling of enteric virus density in wastewater using left-censored data" Food and Environmental Virology, vol.5, no 4, 185-193, 2013, Dec, DOI 10.1007/s12560-013-9125-1. IF=2.36. [pdf][bibtex]
	Tsuyoshi Kato, Wataru Takei, Shinichiro Omachi "A Discriminative Metric Learning Algorithm for Face Recognition" IPSJ Transactions on Computer Vision and Applications, vol 5, pp.85--89, 2013, Jul, presented at MIRU2013 as Oral Presentation, [pdf][bibtex].
	Raissa Relator, Tsuyoshi Kato, Richard Lemence, Improved protein-ligand prediction using kernel weighted canonical correlation analysis, IPSJ Transaction on Bioinformatics, vol. 6, pp.18--28, June, 2013. [pdf][bibtex]
	Raissa Relator, Yoshihiro Hirohashi, Tsuyoshi Kato: Mean polynomial kernel for face membership authentication, Proceedings of IAPR International Conference on Machine Vision Applications (MVA 2013), pages 1--4, May 20-23, 2013, Talk was given on May 20, Ritsumeikan University, Kyoto, Japan.
	2011
	Reiji Teramoto and Tsuyoshi Kato, Transfer learning for cytochrome P450 isozyme selectivity prediction, Journal of Bioinformatics and Computational Biology, Vol. 9, No. 4, pp.521--540, Aug, 2011. IF=0.78. [bibtex]
	Jaak Simm, Masashi Sugiyama, and Tsuyoshi Kato, Computationally efficient multi-task learning with least-squares probabilistic classifiers. IPSJ Transactions on Computer Vision and Applications, Vol. 3, pp.1-8, Feb, 2011 [bibtex].
	Tsuyoshi. Kato and Nozomi Nagano: Discriminative Structural Approaches for Enzyme Active-Site Prediction. BMC Bioinformatics, Vol 12(Supple 1), S49, Feb 2011., presented at The Ninth Asia Pacific Bioinformatics Conference (APBC2011) as Oral Presentation. 2011 IF=2.751. [bibtex]
	2010
	Tsuyoshi Kato, Kazuhiro Suwa and Nozomi Nagano: Parametric Templates: A New Enzyme Active-Site Prediction Algorithm. In conjunction with the 10th IEEE International Conference on Data Mining (ICDM 2010) Biological Data Mining and its Applications in Healthcare.
	Tsuyoshi Kato and Nozomi Nagano: Metric Learning for Enzyme Active-Site Search, Bioinformatics, 26 (21): 2698-2704, Nov 2010, doi: 10.1093/bioinformatics/btq519 , IF=4.98. [pdf][bibtex].
	Tsuyoshi Kato and Wataru Fujibuchi: Kernel Classification Methods for Cancer Microarray Data, in Medical Biostatistics for Complex Diseases, Wiley, ISBN: 978-3-527-32585-6, 2010 June [bibtex].
	Hiromi Arai, Naoya Tochio, Tsuyoshi Kato, Takanori Kigawa and Masayuki Yamamura: An accurate prediction method for protein structural class from signal patterns of NMR spectra in the absence of chemical shift assignments, 10th International Conference on Bioinformatics and Bioengineering (BIBE-2010), pp.32-37, Philadelphia, USA, June 2010 [bibtex].
	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai: Conic Programming for Multi-Task Learning, IEEE Transactions on Knowledge and Data Enginieering, Vol.22, No.7, pp. 957-968, July 2010 IF=2.07. [pdf][bibtex][japanese].
	Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama: A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), vol. 1, issue 1, pp.66--80, Jan, 2010. [pdf][bibtex]
	2009
	Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda: Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach, Bioinformatics, Vol.25, No.22, pp.2962-2968, 2009.11. IF=4.98. [pdf][bibtex]
	Hisashi Kashima, Tsuyoshi Ide, Tsuyoshi Kato and Masashi Sugiyama: Recent Advances and Trends in Large-scale Kernel Methods (invited paper), IEICE Transactions on on Information and Systems, July, 2009, Vol.E92-D No.7 pp.1338-1353. IF=0.21. [pdf][bibtex]
	Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda: Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction, In Proc. 2009 SIAM Conference on Data Mining (SDM), pp.1099-1110, Sparks, Nevada. [pdf]
	Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama: Robust Label Propagation on Multiple Networkbs, IEEE Transactions on Neural Networks, Vol.20, No.1, pp.35--44, 2009, Jan. IF=2.95. [pdf] [bibtex] [japanese]
	2008
	Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama: Integration of multiple networks for label propagation, 2008 SIAM International Conference on Data Mining (SDM08), pp.716-726 [pdf][ppt].
	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai: Multi-task learning via conic programming, In J. C. Platt, D. Koller, Y. Singer, and S. Roweis (Eds.), Advances in Neural Information Processing Systems 20, pp.737-744, Cambridge, MA, MIT Press, 2008, presented at Twenty-First Annual Conference on Neural Information Processing Systems 20 (NIPS2007), 2008, Sept [pdf] [bibtex].
	2007
	Tsuyoshi Kato, Hisashi Kashima, and Masashi Sugiyama: Probabilistic label propagation on multiple networks, IBIS2007, pp.43--48.
	Wataru Fujibuchi* and Tsuyoshi Kato: Classification of Heterogeneous Microarray Data by Maximum Entropy Kernel, BMC Bioinformatics, 8:267, July 2007, (These authors contributed equally.) IF=2.58. [pdf][suppl][bibtex]
	2006
	Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Learning Kernels from Distance Constraints, IPSJ Journal, Vol.47 No.SIG10, pp.1--11, July, 2006. [bibtex]
	Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Kernels for Noisy Microarray Data, Meeting on Image Recognition and Understanding 2006, July.
	Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Kernels for Noisy Microarray Data, CBRC Technical Report, AIST-02-J00001-8.Jun. 12, 2006.
	Tsuyoshi Kato, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi: Network-based Noise Reduction for Microarray Data, Subspace 2006.
	Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi: Drug-response prediction from microarray using network-based de-noising, IPSJ SIG technical reports, Vol.2006, No.64(20060615) pp. 47-52, 2006-BIO-5-(8). Information Processing Society of Japan (IPSJ) ISSN:09196072, Jun, 2006
	Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul B. Horton, Koji Tsuda, Wataru Fujibuchi: Network-based de-noising improves prediction from microarray data, BMC Bioinformatics, vol. 7(Suppl 1):S4, March, 2006 IF=2.58. .[bibtex]
	2005
	Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Kernel construction from distance constraints, CBRC Technical Report, AIST02-J00001-7, pp.1--13, Jun. 21, 2005.
	Tsuyoshi Kato, Wataru Fujibuchi, Kiyoshi Asai: Kernel construction from distance constraints, Meeting on Image Recognition and Understanding 2005.
	Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai: Selective integration of multiple biological data for supervised network inference Bioinformatics , vol. 21, issue 10, pp.2488--2495, May 15 2005, doi:10.1093/bioinformatics/bti339.[bibtex]
	Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai: Biological network inference via kernel matrix completion, The institute of electronics, information and communication engineers (IEICE) Technical Report, NLC2004-97, PRMU2004-179, Tokyo, pp.1--6, Feb, 2005.
	2004
	Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai: Selective Integration of Multiple Genomic Data for Biological Network Inference, In Proceeding of Genome Informatics 15, Yokohama, P026, Dec., 2004. IF=4.98.
	Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai: A new variational framework for rigid-body alignment, Structural, Syntactic, and Statistical Pattern Recognition, pp.171--179, Aug., 2004, Oral Presentation, [bibtex]
	Taishin Kin, Tsuyoshi Kato and Koji Tsuda: Protein Classification via Kernel Matrix Completion, (Eds.) Schoelkopf, B., K. Tsuda and J.P. Vert , Kernel Methods in Computational Biology, pp.261--274, 2004, April [pdf][bibtex]
	Tsuyoshi Kato, Taishin Kin, Kentaro Tomii, Koji Tsuda, Kiyoshi Asai: A kernel-based approach for estimating structural similarities from sequences, CBRC Technical Report, AIST02-J00001-3, pp.1--19, Jan. 20, 2004.
	2003
	Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai: Maximum likelihood superposition of protein structures, In Proceeding of Genome Informatics 14, pp.488--489, Dec., 2003.
	Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai: Variational estimation of rigid-body transformation of protein structures, CBRC Technical Report, AIST02-J00001-2, pp.1-12, Sept. 8, 2003.
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