Backdoor attacks on deep neural networks via transfer learning from natural images Reviewed International journal

Matsuo Y, Takemoto K

Applied Sciences   12 ( 24 )   12564-1 - 12564-11   2022.12

Adversarial attacks on voter model dynamics in complex networks Reviewed International journal

Chiyomaru K, Takemoto K

Physical Review E ( American Physical Society. )   106 ( 1 )   014301-1 - 014301-6   2022.07

Simple black-box universal adversarial attacks on deep neural networks for medical image classification Reviewed International journal

Koga K, Takemoto K

Algorithms   15 ( 5 )   144-1 - 144-12   2022.04

Natural images allow universal adversarial attacks on medical image classification using deep neural networks with transfer learning Reviewed International journal

Akinori Minagi, Hokuto Hirano, Kazuhiro Takemoto

Journal of Imaging   8 ( 2 )   38-1 - 38-15   2022.02

Backdoor attacks to deep neural network-based system for COVID-19 detection from chest X-ray images Reviewed International journal

Matsuo Y, Takemoto K

Applied Sciences   11 ( 20 )   9556-1 - 9556-10   2021.10

ネットワーク伝播による生物ネットワーク解析 Invited Reviewed

千代丸勝美, 竹本和広

JSBi Bioinformatics Review   1 ( 2 )   26 - 36   2021.04

Diversity of dominant soil bacteria increases with warming velocity at the global scale Reviewed International journal

Kanzaki Y, Takemoto K

Diversity   13 ( 3 )   120-1 - 120-11   2021.03

Universal adversarial attacks on deep neural networks for medical image classification Reviewed International journal

Hirano H, Minagi A, Takemoto K

BMC Medical Imaging   21   9-1 - 9-13   2021.01

Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Reviewed International journal

Hirano H, Koga K, Takemoto K

PLoS ONE   15 ( 12 )   e0243963-1 - e0243963-15   2020.12

Simple iterative method for generating targeted universal adversarial perturbations Reviewed International journal

Hirano H, Takemoto K

Algorithms   13 ( 11 )   268-1 - 268-10   2020.10

The brain-derived neurotrophic factor Val66Met polymorphism increases segregation of structural correlation networks in healthy adult brains Reviewed International journal

Ueda I, Takemoto K, Watanabe K, Sugimoto K, Ikenouchi A, Kakeda S, Katsuki A, Yoshimura R, Korogi Y

PeerJ   2020.08

Revisiting the hypothesis of an energetic barrier to genome complexity between eukaryotes and prokaryotes Reviewed International journal

Chiyomaru K, Takemoto K

Royal Society Open Science   7   191859-1 - 191859-9   2020.02

Simple iterative method for generating targeted universal adversarial perturbations Reviewed International journal

Hirano H, Takemoto K

Proceedings of 25th International Symposium on Artificial Life and Robotics   426 - 430   2020.01

Difficulty in inferring microbial community structure based on co-occurrence network approaches Reviewed

BMC Bioinformatics   20   329-1 - 329-14   2019.06

Ecological Networks Invited Reviewed International journal

Takemoto K, Iida M

Reference Module in Life Sciences   2019.04

Brain structural connectivity and neuroticism in healthy adults Reviewed

Ueda I, Kakeda S, Watanabe K, Sugimoto K, Igata N, Moriya J, Takemoto K, Katsuki A, Yoshimura R, Abe O, Korogi Y

Scientific Reports (Nature Publishing Group)   8   16491-1 - 16491-8   2018.11

A network biology-based approach to evaluating the effect of environmental contaminants on human interactome and diseases Reviewed

Ecotoxicology and Environmental Safety   160   316 - 327   2018.09

Network resilience of mutualistic ecosystems and environmental changes: an empirical study Reviewed

5   180706-1 - 180706-12   2018.09

Decomposing the effects of ocean environments on predator-prey body-size relationships in food webs Reviewed

5   180707-1 - 180707-10   2018.07

MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes Reviewed

82 ( 9 )   1515 - 1517   2018.05

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural and network features in a machine learning framework Reviewed

Song J, Li F, Takemoto K, Haffari G, Akutsu T, Chou K-C, Webb G I

Journal of Theoretical Biology   443   125 - 137   2018.04

Large-scale aggregation analysis of eukaryotic cytosolic proteins reveals an involvement of intrinsically disordered regions in protein folding Reviewed

Uemura E, Niwa T, Minami S, Takemoto K, Fukuchi S, Machida K, Imataka H, Ueda T, Ota M, Taguchi H

Scientific Reports (Nature Publishing Group)   8   678-1 - 678-11   2018.01

Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions Reviewed

BMC Bioinformatics   18   278-1 - 278-9   2017.05

代謝ネットワークを用いた微生物生態系の可視化

竹本和広

実験医学増刊 ( 羊土社 )   35 ( 5 )   211 - 214   2017.03

代謝ネットワークの数理モデルとその応用

竹本和広

応用数理 ( 岩波書店 )   24 ( 1 )   10 - 18   2014.03

代謝ネットワークのロバストネス

竹本和広

細胞工学 ( 学研メディカル秀潤社 )   33 ( 1 )   31 - 36   2014.01

Current understanding of the formation and adaptation of metabolic systems based on network theory

Takemoto K

Metabolites ( MDPI )   2 ( 3 )   429 - 457   2012.07

代謝ネットワーク形成の理解に向けて

竹本和広

実験医学増刊 ( 羊土社 )   29 ( 7 )   180 - 185   2011.04

Measuring structural robustness of metabolic networks under a boolean model using integer programming and feedback vertex sets Reviewed

Tamura T., Takemoto K., Akutsu T.

Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009   819 - 824   2009.10

Effects of feedback and feedforward loops on dynamics of transcriptional regulatory model networks Reviewed

Oosawa C., Takemoto K., Savageau M.

Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08   885 - 890   2008.12

Local cause of coherence in Boolean networks Reviewed

Oosawa C., Takemoto K., Matsumoto S., Savageau M.

Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07   621 - 626   2007.12

Effefts of embedded motifs on behavior of Boolean networks Reviewed

OOSAWA Chikoo, TAKEMOTO Kazuhiro

IEICE technical report ( The Institute of Electronics, Information and Communication Engineers )   107 ( 349 )   1 - 6   2007.11

M<SUB>3</SUB>: Merging Module Model for a Network with Scale-Free Properties and Modularity Reviewed

Takemoto Kazuhiro, Oosawa Chikoo

Genome Informatics   14   378 - 379   2003.01

グローバルな情報を加味するセマンティックセグメンテーションとラベルの重複を許す分類のジョイントの学習

平野北斗, 竹本和広, 大北剛

第23回情報論的学習理論ワークショップ (IBIS 2020) 

環境変動と土壌マイクロバイオームの関係についての全球規模解析

神崎祥昭, 竹本和広

2020年日本バイオインフォマティクス学会年会・第９回生命医薬情報学連合大会 

肺炎診断用深層ニューラルネットワークのバックドア攻撃に対する脆弱性

松尾優希, 平野北斗, 竹本和広

2020年日本バイオインフォマティクス学会年会・第９回生命医薬情報学連合大会 

精神疾患リスクと環境パラメータの関連性についての地理空間データ分析

伊東拓海, 竹本和広

2020年日本バイオインフォマティクス学会年会・第９回生命医薬情報学連合大会 

転移学習された医用画像分類モデルの普遍的敵対的摂動に対する脆弱性

三奈木啓成, 平野北斗, 竹本和広

2020年日本バイオインフォマティクス学会年会・第９回生命医薬情報学連合大会 

Universal Adversarial Perturbation を用いた COVID-19 診断用深層ニューラルネットワークの信頼性評価

平野北斗, 三奈木啓成, 竹本和広

2020年日本バイオインフォマティクス学会年会・第９回生命医薬情報学連合大会 

Simple iterative method for generating targeted universal adversarial perturbations

25th International Symposium on Artificial Life and Robotics (AROB 25th 2020) 

原核生物-真核生物間のエネルギー障壁の統計解析

千代丸勝美, 竹本和広

日本生体エネルギー研究会第45回討論会 

Universal Adversarial Perturbationを用いた医療画像診断用ディープニューラルネットワークの信頼性評価

平野北斗, 三奈木啓成, 竹本和広

第22回情報論的学習理論ワークショップ (IBIS 2019) 

転移学習された画像分類モデルのUniversal Adversarial Perturbationに対する脆弱性：病理画像診断を例にして

三奈木啓成, 平野北斗, 竹本和広

第22回情報論的学習理論ワークショップ (IBIS 2019) 

Stability of ecological communities: A network perspective

2017.07 

代謝ネットワークから解き明かす生物—環境相互作用：解析基盤の確立と応用

Grant number：25700030  2013.04 - 2017.03   若手研究(A)

統計力学に基づく生化学反応ネットワークの解析とモデル化

Grant number：07J00209  2007.04 - 2009.03   特別研究員奨励費