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Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz • Information Fusion
(2019)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.inffus.2019.12.001
Rahul C. Deo • Circulation
(2015)
Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular va...
OPENALEX
Open Access
DOI: https://doi.org/10.1161/circulationaha.115.001593
PMC: 5831252
Christian P. Robert • CHANCE
(2014)
Kevin P. MurphyHardcover: 1104 pagesYear: 2012Publisher: The MIT PressISBN-13: 978-0262018029I have to admit the rather embarrassing fact that Machine Learning, a Probabilistic Perspective is the f......
OPENALEX
Open Access
DOI: https://doi.org/10.1080/09332480.2014.914768
Ethem Alpaydın • The MIT Press eBooks
(2004)
OPENALEX
Frank Hutter, Lars Kotthoff, Joaquin Vanschoren • The Springer series on challenges in machine learning
(2019)
This open access book gives the first comprehensive overview of general methods in Automatic Machine Learning, AutoML, collects descriptions of existing AutoML systems based on these methods, and discusses the first international challenge ...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/978-3-030-05318-5
Ling Huang, Anthony D. Joseph, Blaine A. Nelson, Benjamin I. P. Rubinstein et al. • ACM Workshop on Artificial Intelligence and Security (AISec)
(2011)
In this paper (expanded from an invited talk at AISEC 2010), we discuss an emerging field of study: adversarial machine learning---the study of effective machine learning techniques against an adversarial opponent. In this paper, we: give a...
OPENALEX
DOI: https://doi.org/10.1145/2046684.2046692
Adi Laurentiu Tarca, Vincent J. Carey, Xuewen Chen, Roberto J. Romero et al. • PLoS Computational Biology
(2007)
The term machine learning refers to a set of topics dealing with the creation and evaluation of algorithms that facilitate pattern recognition, classification, and prediction, based on models derived from existing data. Two facets of mechan...
OPENALEX
public-domain
DOI: https://doi.org/10.1371/journal.pcbi.0030116
PMC: 1904382
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury, Matthew G. Perich et al. • eNeuro
(2020)
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods. Modern machine learning tools, which are versatile and easy to use, have the potential to significantly improve deco...
OPENALEX
cc-by
DOI: https://doi.org/10.1523/eneuro.0506-19.2020
PMC: 7470933
Alison M. Darcy, Alan K. Louie, Laura Weiss Roberts • JAMA
(2016)
This Viewpoint discusses the opportunities and ethical implications of using machine learning technologies, which can rapidly collect and learn from large amounts of personal data, to provide individalized patient care....
OPENALEX
DOI: https://doi.org/10.1001/jama.2015.18421
Rafael A. Irizarry • Chapman & Hall/CRC eBooks
(2019)
The machine learning approach is to train an algorithm using a dataset for which the people do know the outcome, and then apply this algorithm in the future to make a prediction when they don't know the outcome. In this chapter, the authors...
OPENALEX
DOI: https://doi.org/10.1201/9780429341830-27
Leavitt H, Thomas A, Nelson JA • Ecological applications : a publication of the Ecological Society of America
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/eap.70318
PMC: PMC13735485
Saz-Lara A, Otero-Luis I, Del Saz-Lara A, Martínez-Cifuentes Ó et al. • BMJ open
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1136/bmjopen-2026-123803
PMC: PMC13735320
Mulligan RJ, Cotobal Martin C, Allerton DM, Strickland M et al. • BMJ open gastroenterology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1136/bmjgast-2026-002501
PMC: PMC13735373
Rosales Mondragón C, Barbosa Luna M, Ricardo Garcell J, Alcauter Solórzano S et al. • The European journal of neuroscience
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/ejn.70732
PMC: PMC13735736
Zhao FY, Wang JM, Lu SY, Hao L et al. • Aging cell
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/acel.70798
PMC: PMC13736552
Carter ZT, Botelho LL, Chown SL, Yaryab P et al. • Nature communications
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41467-026-77606-w
PMC: PMC13736897
Zhang H, Qin T, Zhai Y, Xiao J et al. • Translational psychiatry
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41398-026-04357-z
PMC: PMC13736853
Agrawal N, Godhani N, Chowdhury S, Anandh PC et al. • Nature communications
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41467-026-77148-1
PMC: PMC13736951
Zhao W, Shi S, Zhou L, Zhao L et al. • Nature communications
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41467-026-77524-x
PMC: PMC13737084
Ziyi Yin, Guowei Huang, Rui Zhao, Sen Wang et al. • Financial Innovation
(2024)
Abstract Crowdfunding has become important in increasing financial support for the development of green technologies. Self-disclosed information significantly affects supporters’ decisions and is important for the success of green project f...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40854-024-00666-8