{"id":279,"date":"2014-01-29T00:50:20","date_gmt":"2014-01-28T15:50:20","guid":{"rendered":"http:\/\/mlns.es.hokudai.ac.jp\/?page_id=279"},"modified":"2024-08-30T10:26:52","modified_gmt":"2024-08-30T01:26:52","slug":"publications_en","status":"publish","type":"page","link":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/publications_en.html","title":{"rendered":"Publications"},"content":{"rendered":"
|2024<\/a>||2023<\/a>|2022<\/a>|2021<\/a>|2020<\/a>|2019<\/a>|2018<\/a>|2017<\/a>|2016<\/a> |2015<\/a> |2014<\/a> |2013<\/a> | 2012<\/a> | 2011<\/a> | 2010<\/a> | 2009<\/a> | 2008<\/a> | 2007<\/a> | 2006<\/a> | 2005<\/a> | 2004<\/a> | 2003<\/a> | 2002<\/a> | 2001<\/a> | 2000<\/a> | 1999<\/a> | 1998 | 1997<\/a> | 1996<\/a> | 1995 | 1994<\/a><\/p>\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n2024<\/h3>
\nAn attempt of Seibutsu-Butsuri in Kyoto IUPAB Congress 2024<\/b>
Biophysical Reviews<\/i> , (2024)
DOI<\/a>: 10.1007\/s12551-024-01241-2<\/dt>
\nLow-dimensional projection of reactivity classes in chemical reaction dynamics using supervised dimensionality reduction<\/b>
Journal of Chemical Physics<\/i> 161<\/b>(15), pp.154103-1-154103-12 (2024)
DOI<\/a>: 10.1063\/5.0230618<\/dt>
\nQuantum algorithm for dynamic mode decomposition integrated with a quantum differential equation solver<\/b>
Phys. Rev. Research<\/i> 6<\/b>, pp.043031-1-043031-6 (2024)
DOI<\/a>: 10.1103\/PhysRevResearch.6.043031<\/dt>
\nOn-the-fly Raman microscopy guaranteeing the accuracy of discrimination<\/b>
Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III<\/i> 13006<\/b>, pp.1300602 , (2024)
DOI<\/a>: 10.1117\/12.3016553<\/dt>
\nMulti-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selection<\/b>
The Journal of chemical physics<\/i> 161<\/b>(1), pp.014115, (2024)
DOI<\/a>: 10.1063\/5.0206042<\/dt>
\nAn encompassed representation of timescale hierarchies in first-order reaction network<\/b>
Proceedings of the National Academy of Sciences<\/i> 121<\/b>(21), pp.e2317781121, (2024)
DOI<\/a>: 10.1073\/pnas.2317781121<\/dt>
\nInferring the roles of individuals in collective systems using information-theoretic measures of influence<\/b>
Biophysics and Physicobiology<\/i> , (2024)
DOI<\/a>: 10.2142\/biophysico.bppb-v21.s014<\/dt>
\nOn-the-fly Raman microscopy guaranteeing the accuracy of discrimination<\/b>
Proceedings of the National Academy of Sciences of the United States of America<\/i> 121<\/b>(12), pp.e2304866121, (2024)
DOI<\/a>: 10.1073\/pnas.2304866121<\/dt>
\nFinding Optimal Pathways in Chemical Reaction Networks Using Ising Machines<\/b>
Physical Review Research<\/i> 6<\/b>, pp.013115-1-013115-24 (2024)
DOI<\/a>: 10.1103\/PhysRevResearch.6.013115<\/dt>2023<\/h3>
\nGaussian process classification bandits<\/b>
Pattern Recognition<\/i> 149<\/b>(110224), (2023)
DOI<\/a>: 10.1016\/j.patcog.2023.110224<\/dt>
\nSubdomain dynamics enable chemical chain reactions in non-ribosomal peptide synthetases<\/b>
Nature Chemistry<\/i> 16<\/b>, pp.259-268 (2023)
DOI<\/a>: 10.1038\/s41557-023-01361-4<\/dt>
\nCorrection for Extrinsic Background in Raman Hyperspectral Images<\/b>
Analytical Chemistry<\/i> 95<\/b>(33), pp.12298-12305 (2023)
DOI<\/a>: 10.1021\/acs.analchem.3c01406<\/dt>
\nComparison of particle image velocimetry and the underlying agents dynamics in collectively moving self propelled particles<\/b>
Scientific Reports<\/i> 13<\/b>(12566), (2023)
DOI<\/a>: 10.1038\/s41598-023-39635-z<\/dt>
\nDifferentiability of cell types enhanced by detrending a non-homogeneous pattern in a line-illumination Raman microscope<\/b>
The Analyst<\/i> 148<\/b>, pp.3574-3583 (2023)
DOI<\/a>: 10.1039\/d3an00516j<\/dt>
\nRaman imaging of rat nonalcoholic fatty liver tissuesreveals distinct biomolecular states<\/b>
FEBS Letters<\/i> 597<\/b>(11), pp.1517-1527 (2023)
DOI<\/a>: 10.1002\/1873-3468.14600<\/dt>
\nNMR spectrum prediction for dynamic molecules by machine learning: A case study of trefoil knot molecule<\/b>
The Journal of Chemical Physics<\/i> 158<\/b>(19), pp.194108-1-194108-10 (2023)
DOI<\/a>: 10.1063\/5.0147398<\/dt>
\n\u5358\u8abf\u5897\u52a0\u5236\u7d04\u306e\u3042\u308b\u30ec\u30d9\u30eb\u30bb\u30c3\u30c8\u63a8\u5b9a<\/b>
\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599 \u4eba\u5de5\u77e5\u80fd\u57fa\u672c\u554f\u984c\u7814\u7a76\u4f1a<\/i> 124<\/b>, pp.25-30 (2023)<\/dt>
\nOn-the-fly Raman microscopy guaranteeing the accuracy of diagnosis by reinforcement learning<\/b>
Progress in Biomedical Optics and Imaging - Proceedings of SPIE<\/i> , (2023)
DOI<\/a>: 10.1117\/12.2652139<\/dt>
\nPosterior Tracking Algorithm for Classification Bandits<\/b>
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics<\/i> 206<\/b>, pp.10994-11022 (2023)<\/dt>2022<\/h3>
\n\u5316\u5b66\u53cd\u5fdc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u89e3\u6790\u3068\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0<\/b>
\u7406\u8ad6\u5316\u5b66\u4f1a\u8a8c\u300c\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u300d<\/i> 4<\/b>(4), pp.201-211 (2022)<\/dt>
\n\u30e9\u30de\u30f3\u5206\u5149\u7d44\u7e54\u5b66\u2014\u30e9\u30de\u30f3\u9855\u5fae\u8a08\u6e2c\u3068\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u878d\u5408\u2014<\/b>
\u7406\u8ad6\u5316\u5b66\u4f1a\u8a8c \u300c\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u300d<\/i> 4<\/b>(3), pp.130-138 (2022)<\/dt>