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 Julkaisujen tiedon ikoni

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

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DOI
10.1038/s42256-021-00307-0
AIX-COVNET; Roberts, Michael; Driggs, Derek; Thorpe, Matthew; Gilbey, Julian; Yeung, Michael; Urspru...
Nature Machine Intelligence2021 Julkaisujen tiedon ikoni

Quantum state reconstruction in a noisy environment via deep learning

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DOI
10.1007/s42484-024-00168-x
Morgillo, Angela Rosy; Mangini, Stefano; Piastra, Marco; Macchiavello, Chiara
Quantum Machine Intelligence2024 Julkaisujen tiedon ikoni

A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search

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DOI
10.1007/s42484-024-00181-0
Sadhu, Abhishek; Sarkar, Aritra; Kundu, Akash
Quantum Machine Intelligence2024 Julkaisujen tiedon ikoni

Navigating the development challenges in creating complex data systems

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DOI
10.1038/s42256-023-00665-x
Dittmer, Sören; Roberts, Michael; Gilbey, Julian; Biguri, Ander; Selby, Ian; Breger, Anna; Thorpe, M...
Nature Machine Intelligence2023 Julkaisujen tiedon ikoni

AI minds need to think about energy constraints

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DOI
10.1038/s42256-019-0083-7
Zliobaite, Indre
Nature Machine Intelligence2019 Julkaisujen tiedon ikoni

Prediction of drug combination effects with a minimal set of experiments

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DOI
10.1038/s42256-019-0122-4
Ianevski, Aleksandr; Kumar, Anil; Gautam, Prson; Kononov, Alexander Vladimirovich; Saarela, Jani; Po...
Nature machine intelligence2019 Julkaisujen tiedon ikoni

A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type

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DOI
10.1109/TPAMI.2014.2359431
Blomstedt, Paul; Tang, Jing; Xiong, Jie; Granlund, Christian; Corander, Jukka
IEEE transactions on pattern analysis and machine intelligence2015 Julkaisujen tiedon ikoni

Learning the Information Divergence

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DOI
10.1109/TPAMI.2014.2366144
Dikmen, Onur; Yang, Zhirong; Oja, Erkki
IEEE transactions on pattern analysis and machine intelligence2015 Julkaisujen tiedon ikoni

Kernelized Bayesian Matrix Factorization

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DOI
10.1109/TPAMI.2014.2313125
Gönen, Mehmet; Kaski, Samuel
IEEE transactions on pattern analysis and machine intelligence2014 Julkaisujen tiedon ikoni

Artificial intelligence, machine learning, and drug repurposing in cancer

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Avoin saatavuus
DOI
10.1080/17460441.2021.1883585
Tanoli, Ziaurrehman; Vähä-Koskela, Markus; Aittokallio, Tero
Expert opinion on drug discovery2021

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Vertaisarvioitu
Avoin saatavuus
DOI
10.1038/s42256-021-00307-0
2021

Quantum state reconstruction in a noisy environment via deep learning

Vertaisarvioitu
Avoin saatavuus
DOI
10.1007/s42484-024-00168-x
2024

A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search

Vertaisarvioitu
Avoin saatavuus
DOI
10.1007/s42484-024-00181-0
2024

Navigating the development challenges in creating complex data systems

Vertaisarvioitu
DOI
10.1038/s42256-023-00665-x
2023

AI minds need to think about energy constraints

Avoin saatavuus
DOI
10.1038/s42256-019-0083-7
2019

Prediction of drug combination effects with a minimal set of experiments

Vertaisarvioitu
Avoin saatavuus
DOI
10.1038/s42256-019-0122-4
2019

A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type

Vertaisarvioitu
DOI
10.1109/TPAMI.2014.2359431
2015

Learning the Information Divergence

Vertaisarvioitu
DOI
10.1109/TPAMI.2014.2366144
2015

Kernelized Bayesian Matrix Factorization

Vertaisarvioitu
DOI
10.1109/TPAMI.2014.2313125
2014

Artificial intelligence, machine learning, and drug repurposing in cancer

Vertaisarvioitu
Avoin saatavuus
DOI
10.1080/17460441.2021.1883585
2021