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Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz • Information Fusion
(2019)
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Open Access
DOI: https://doi.org/10.1016/j.inffus.2019.12.001
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
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
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
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
Edoardo Bizzotto, Guido Zampieri, Laura Treu, Pasquale Filannino et al. • Computational and Structural Biotechnology Journal
(2024)
Bioactive peptides are short amino acid chains possessing biological activity and exerting physiological effects relevant to human health. Despite their therapeutic value, their identification remains a major problem, as it mainly relies on...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csbj.2024.05.040
Introduzione Al Corso, Roberto Basili, Wm&r Motivazioni • Kybernetes
(2010)
OPENALEX
DOI: https://doi.org/10.1108/k.2010.06739hae.001
Zhang B, Fong Y, Yu C, Chen S et al. • Nature communications
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41467-026-78444-6
PMC: PMC13736861
Alexandre Abraham, Fabián Pedregosa, Michael Eickenberg, Philippe Gervais et al. • Frontiers in Neuroinformatics
(2014)
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series....
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cc-by
DOI: https://doi.org/10.3389/fninf.2014.00014
PMC: 3930868
Bhargav Teja Nallapu, Ali Ezzati, Helena M. Blumen, Kellen K. Petersen et al. • Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
(2025)
ABSTRACT INTRODUCTION Understanding the heterogeneity of brain structure in individuals with the Motoric Cognitive Risk Syndrome (MCR) may improve the current risk assessments of dementia. METHODS We used data from six cohorts from the MCR ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/dad2.70197
Kutzinski M, Brenner T, Khan SA, Pott H et al. • Pneumonia (Nathan Qld.)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s41479-026-00212-3
PMC: PMC13737847
Mafalda Reis Pereira, Mafalda Reis Pereira, Filipe Neves dos Santos, Fernando Tavares et al. • Frontiers in Plant Science
(2023)
Early diagnosis of plant diseases is needed to promote sustainable plant protection strategies. Applied predictive modeling over hyperspectral spectroscopy (HS) data can be an effective, fast, cost-effective approach for improving plant dis...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpls.2023.1242201
Juan Carlos Ramírez-Vázquez, Guadalupe Esmeralda Rivera-García, Marco Antonio Gómez-Guzmán, Marco Antonio Díaz-Martínez et al. • Technologies
(2026)
A substantial number of students with hearing impairments are enrolled in higher education, motivating the development of inclusive assistive technologies that reduce communication barriers. This study developed and evaluated a prototype el...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/technologies14030189
Πάνος Λουρίδας, Christof Ebert • IEEE Software
(2016)
In machine learning, a computer first learns to perform a task by studying a training set of examples. The computer then performs the same task with data it hasn't encountered before. This article presents a brief overview of machine-learni...
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DOI: https://doi.org/10.1109/ms.2016.114
Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access
(2023)
Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3271748
Zishwa Muhammad Jauhar Nafis, Rahmatun Nazilla, Rega Nugraha, Shofwatul ’Uyun Shofwatul ’Uyun • Komputika
(2024)
Seiring dengan perkembangan jumlah penggunaan Internet of Things yang terus meningkat dan meluas. Ancaman keamanan pada jaringan IoT juga meningkat. Terdapat beberapa teknik yang diterapkan untuk mengatasi ancaman keamanan ini. Salah satuny...
DOAJ
Open Access (DOAJ)
DOI: 10.34010/komputika.v13i2.12609
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza et al. • Briefings in Bioinformatics
(2006)
This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochast...
OPENALEX
Open Access
DOI: https://doi.org/10.1093/bib/bbk007
Michael Gofman, Zhao Jin • The Journal of Finance
(2023)
ABSTRACT We document an unprecedented brain drain of Artificial Intelligence (AI) professors from universities from 2004 to 2018. We find that students from the affected universities establish fewer AI startups and raise less funding. The b...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1111/jofi.13302
Madalina Busuioc • Public Administration Review
(2020)
Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or "neutral" solutions harnessing the potential of big data has led public...
OPENALEX
cc-by
DOI: https://doi.org/10.1111/puar.13293
PMC: 8518786
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, Neha Garg et al. • Nature Reviews Drug Discovery
(2023)
OPENALEX
Open Access
DOI: https://doi.org/10.1038/s41573-023-00774-7
PMC: 13118512