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Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection

Nature communications, 2021-06, Vol.12 (1), p.3726-3726, Article 3726

2021

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Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber

Scientific reports, 2020-10, Vol.10 (1), p.18127-18127, Article 18127

2020

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In-silico-assisted derivatization of triarylboranes for the catalytic reductive functionalization of aniline-derived amino acids and peptides with H2

Nature communications, 2024-05, Vol.15 (1), p.3708-3708, Article 3708

2024

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Isolation kernel: the X factor in efficient and effective large scale online kernel learning

Data mining and knowledge discovery, 2021-11, Vol.35 (6), p.2282-2312

2021

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Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap

Scientific reports, 2020-07, Vol.10 (1), p.11244-11244, Article 11244

2020

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Free-hand gas identification based on transfer function ratios without gas flow control

Scientific reports, 2019-07, Vol.9 (1), p.9768-14, Article 9768

2019

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High-Precision Single-Molecule Identification Based on Single-Molecule Information within a Noisy Matrix

Journal of physical chemistry. C, 2019-06, Vol.123 (25), p.15867-15873

2019

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Electrochemical Carbon-Ferrier Rearrangement Using a Microflow Reactor and Machine Learning-Assisted Exploration of Suitable Conditions

Organic process research & development, 2024-05, Vol.28 (5), p.1422-1429

2024

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Particle Trajectory-Dependent Ionic Current Blockade in Low-Aspect-Ratio Pores

ACS nano, 2016-01, Vol.10 (1), p.803-809

2016

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Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut-Currier and [3+2] annulation sequence

Chemical communications (Cambridge, England), 2020-01, Vol.56 (8), p.1259-1262

2020

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Local contrast as an effective means to robust clustering against varying densities

Machine learning, 2018-09, Vol.107 (8-10), p.1621-1645

2018

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Selective detections of single-viruses using solid-state nanopores

Scientific reports, 2018-11, Vol.8 (1), p.16305-7, Article 16305

2018

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Predicting heart failure onset in the general population using a novel data-mining artificial intelligence method

Scientific reports, 2023-03, Vol.13 (1), p.4352-4352, Article 4352

2023

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A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Data mining and knowledge discovery, 2020, Vol.34 (1), p.124-162

2020

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Temporal Response of Ionic Current Blockade in Solid-State Nanopores

ACS applied materials & interfaces, 2018-10, Vol.10 (40), p.34751-34757

2018

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A photoswitchable fluorescent protein for hours-time-lapse and sub-second-resolved super-resolution imaging

Microscopy, 2021-08, Vol.70 (4), p.340-352

2021

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Green-light wavelength-selective organic solar cells for agrivoltaics: dependence of wavelength on photosynthetic rate

Faraday discussions, 2024-03, Vol.25, p.22-232

2024

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Bayesian Optimization-Assisted Screening to Identify Improved Reaction Conditions for Spiro-Dithiolane Synthesis

Molecules (Basel, Switzerland), 2023-07, Vol.28 (13), p.5180

2023

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Discriminating single-bacterial shape using low-aspect-ratio pores

Scientific reports, 2017-12, Vol.7 (1), p.17371-9, Article 17371

2017

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ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders

Neural computation, 2014-01, Vol.26 (1), p.57-83

2014

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Analysis on Microstructure–Property Linkages of Filled Rubber Using Machine Learning and Molecular Dynamics Simulations

Polymers, 2021-08, Vol.13 (16), p.2683

2021

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Learning a common substructure of multiple graphical Gaussian models

Neural networks, 2013-02, Vol.38, p.23-38

2013

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Classification from positive and unlabeled data based on likelihood invariance for measurement

Intelligent data analysis, 2021-01, Vol.25 (1), p.57-79

2021

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Analysis of nanomechanical sensing signals; physical parameter estimation for gas identification

AIP advances, 2018-07, Vol.8 (7), p.075007-075007-9

2018

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Isolation Distributional Kernel A New Tool for Point & Group Anomaly Detection

IEEE transactions on knowledge and data engineering, 2021, p.1-1

2021

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Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection

Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber

In-silico-assisted derivatization of triarylboranes for the catalytic reductive functionalization of aniline-derived amino acids and peptides with H2

Isolation kernel: the X factor in efficient and effective large scale online kernel learning

Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap

Free-hand gas identification based on transfer function ratios without gas flow control

High-Precision Single-Molecule Identification Based on Single-Molecule Information within a Noisy Matrix

Electrochemical Carbon-Ferrier Rearrangement Using a Microflow Reactor and Machine Learning-Assisted Exploration of Suitable Conditions

Particle Trajectory-Dependent Ionic Current Blockade in Low-Aspect-Ratio Pores

Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut-Currier and [3+2] annulation sequence

Local contrast as an effective means to robust clustering against varying densities

Selective detections of single-viruses using solid-state nanopores

Predicting heart failure onset in the general population using a novel data-mining artificial intelligence method

A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Temporal Response of Ionic Current Blockade in Solid-State Nanopores

A photoswitchable fluorescent protein for hours-time-lapse and sub-second-resolved super-resolution imaging

Green-light wavelength-selective organic solar cells for agrivoltaics: dependence of wavelength on photosynthetic rate

Bayesian Optimization-Assisted Screening to Identify Improved Reaction Conditions for Spiro-Dithiolane Synthesis

Discriminating single-bacterial shape using low-aspect-ratio pores

ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders

Analysis on Microstructure–Property Linkages of Filled Rubber Using Machine Learning and Molecular Dynamics Simulations

Learning a common substructure of multiple graphical Gaussian models

Classification from positive and unlabeled data based on likelihood invariance for measurement

Analysis of nanomechanical sensing signals; physical parameter estimation for gas identification

Isolation Distributional Kernel A New Tool for Point & Group Anomaly Detection

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