Literature DB >> 27708329

Can we open the black box of AI?

Davide Castelvecchi.   

Abstract

Mesh：

Year:  2016        PMID： 27708329     DOI： 10.1038/538020a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  2 in total

1.  Distilling free-form natural laws from experimental data.

Authors:  Michael Schmidt; Hod Lipson
Journal:  Science       Date:  2009-04-03       Impact factor: 47.728

Review 2.  Probabilistic machine learning and artificial intelligence.

Authors:  Zoubin Ghahramani
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962
  2 in total
  129 in total

1.  Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

Authors:  Xuejun Qian; Jing Pei; Hui Zheng; Xinxin Xie; Lin Yan; Hao Zhang; Chunguang Han; Xiang Gao; Hanqi Zhang; Weiwei Zheng; Qiang Sun; Lu Lu; K Kirk Shung
Journal:  Nat Biomed Eng       Date:  2021-04-19       Impact factor: 25.671

2.  Deep learning-based automated detection of retinal diseases using optical coherence tomography images.

Authors:  Feng Li; Hua Chen; Zheng Liu; Xue-Dian Zhang; Min-Shan Jiang; Zhi-Zheng Wu; Kai-Qian Zhou
Journal:  Biomed Opt Express       Date:  2019-11-11       Impact factor: 3.732

3.  Deep Neural Networks for Classification of LC-MS Spectral Peaks.

Authors:  Edward D Kantz; Saumya Tiwari; Jeramie D Watrous; Susan Cheng; Mohit Jain
Journal:  Anal Chem       Date:  2019-09-19       Impact factor: 6.986

Review 4.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

5.  Binary logistic regression modeling with TensorFlow™.

Authors:  Zhongheng Zhang; Lei Mo; Chen Huang; Ping Xu
Journal:  Ann Transl Med       Date:  2019-10

6.  Behavioural analysis of single-cell aneural ciliate, Stentor roeseli, using machine learning approaches.

Authors:  Mi Kieu Trinh; Matthew T Wayland; Sudhakaran Prabakaran
Journal:  J R Soc Interface       Date:  2019-12-04       Impact factor: 4.118

7.  Genome-scale transcriptional dynamics and environmental biosensing.

Authors:  Garrett Graham; Nicholas Csicsery; Elizabeth Stasiowski; Gregoire Thouvenin; William H Mather; Michael Ferry; Scott Cookson; Jeff Hasty
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-23       Impact factor: 11.205

8.  Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

Authors:  Jeong Hyun Lee; Ijin Joo; Tae Wook Kang; Yong Han Paik; Dong Hyun Sinn; Sang Yun Ha; Kyunga Kim; Choonghwan Choi; Gunwoo Lee; Jonghyon Yi; Won-Chul Bang
Journal:  Eur Radiol       Date:  2019-09-02       Impact factor: 5.315

9.  Automated Dermatological Diagnosis: Hype or Reality?

Authors:  Cristian Navarrete-Dechent; Stephen W Dusza; Konstantinos Liopyris; Ashfaq A Marghoob; Allan C Halpern; Michael A Marchetti
Journal:  J Invest Dermatol       Date:  2018-06-01       Impact factor: 8.551

Review 10.  Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

Authors:  Denis V Voronin; Anastasiia A Kozlova; Roman A Verkhovskii; Alexey V Ermakov; Mikhail A Makarkin; Olga A Inozemtseva; Daniil N Bratashov
Journal:  Int J Mol Sci       Date:  2020-03-27       Impact factor: 5.923
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