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

BMC bioinformatics, 2019-06, Vol.20 (1), p.329-14, Article 329

2019

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Metabolic networks are almost nonfractal: a comprehensive evaluation

Physical review. E, Statistical, nonlinear, and soft matter physics, 2014-08, Vol.90 (2), p.022802-022802, Article 022802

Takemoto, Kazuhiro

2014

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Does habitat variability really promote metabolic network modularity?

PloS one, 2013-04, Vol.8 (4), p.e61348-e61348

2013

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Universal adversarial attacks on deep neural networks for medical image classification

BMC medical imaging, 2021-01, Vol.21 (1), p.9-9, Article 9

2021

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

PloS one, 2020-12, Vol.15 (12), p.e0243963

2020

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Metabolic network modularity arising from simple growth processes

Physical review. E, Statistical, nonlinear, and soft matter physics, 2012-09, Vol.86 (3 Pt 2), p.036107-036107, Article 036107

Takemoto, Kazuhiro

2012

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All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks

Applied sciences, 2024-05, Vol.14 (9), p.3558

Takemoto, Kazuhiro

2024

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The moral machine experiment on large language models

Royal Society open science, 2024-02, Vol.11 (2), p.231393-8

Takemoto, Kazuhiro

2024

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

Journal of theoretical biology, 2018-04, Vol.443, p.125-137

2018

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Human Impacts and Climate Change Influence Nestedness and Modularity in Food-Web and Mutualistic Networks

PloS one, 2016-06, Vol.11 (6), p.e0157929-e0157929

2016

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Adversarial attacks on voter model dynamics in complex networks

Physical review. E, 2022-07, Vol.106 (1), Article 014301

2022

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Heterogeneity in ecological mutualistic networks dominantly determines community stability

Scientific reports, 2014-08, Vol.4 (1), p.5912-5912, Article 5912

2014

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Simple Iterative Method for Generating Targeted Universal Adversarial Perturbations

Algorithms, 2020-10, Vol.13 (11), p.268

2020

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Adenosine leakage from perforin-burst extracellular vesicles inhibits perforin secretion by cytotoxic T-lymphocytes

PloS one, 2020-04, Vol.15 (4), p.e0231430-e0231430

2020

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Distinctions and associations between the microbiota of saliva and supragingival plaque of permanent and deciduous teeth

PloS one, 2018-07, Vol.13 (7), p.e0200337-e0200337

2018

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Revisiting the political biases of ChatGPT

Frontiers in artificial intelligence, 2023-10, Vol.6, p.1232003-1232003

2023

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Minor taxa in human skin microbiome contribute to the personal identification

PloS one, 2018-07, Vol.13 (7), p.e0199947-e0199947

2018

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

Bioscience, biotechnology, and biochemistry, 2018-09, Vol.82 (9), p.1515-1517

2018

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MicNet toolbox: Visualizing and unraveling a microbial network

PloS one, 2022-06, Vol.17 (6), p.e0259756-e0259756

2022

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Simple Black-Box Universal Adversarial Attacks on Deep Neural Networks for Medical Image Classification

Algorithms, 2022-04, Vol.15 (5), p.144

2022

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Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images

Applied sciences, 2021-10, Vol.11 (20), p.9556

2021

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Analysis of the Effect of Degree Correlation on the Size of Minimum Dominating Sets in Complex Networks

PloS one, 2016-06, Vol.11 (6), p.e0157868-e0157868

2016

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Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers

Bioinformatics, 2012-09, Vol.28 (18), p.i487-i494

2012

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

Royal Society open science, 2020-02, Vol.7 (2), p.191859-191859

2020

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Backdoor Attacks on Deep Neural Networks via Transfer Learning from Natural Images

Applied sciences, 2022-12, Vol.12 (24), p.12564

2022

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

Metabolic networks are almost nonfractal: a comprehensive evaluation

Does habitat variability really promote metabolic network modularity?

Universal adversarial attacks on deep neural networks for medical image classification

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

Metabolic network modularity arising from simple growth processes

All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks

The moral machine experiment on large language models

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

Human Impacts and Climate Change Influence Nestedness and Modularity in Food-Web and Mutualistic Networks

Adversarial attacks on voter model dynamics in complex networks

Heterogeneity in ecological mutualistic networks dominantly determines community stability

Simple Iterative Method for Generating Targeted Universal Adversarial Perturbations

Adenosine leakage from perforin-burst extracellular vesicles inhibits perforin secretion by cytotoxic T-lymphocytes

Distinctions and associations between the microbiota of saliva and supragingival plaque of permanent and deciduous teeth

Revisiting the political biases of ChatGPT

Minor taxa in human skin microbiome contribute to the personal identification

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

MicNet toolbox: Visualizing and unraveling a microbial network

Simple Black-Box Universal Adversarial Attacks on Deep Neural Networks for Medical Image Classification

Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images

Analysis of the Effect of Degree Correlation on the Size of Minimum Dominating Sets in Complex Networks

Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers

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

Backdoor Attacks on Deep Neural Networks via Transfer Learning from Natural Images

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