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Academic Articles & Research Papers
Showing 20 of 23,220 academic articles
Irfan Kareem, Syed Farooq Ali, Muhammad Bilal, Muhammad Shehzad Hanif • PLoS ONE
(2024)
Over the last decade, there have been a lot of advances in the area of human posture recognition. Among multiple approaches proposed to solve this problem, those based on deep learning have shown promising results. Taking another step in th...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0314959
J. R. Quinlan (1992)
Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have made some of the most significant contributions to their development. This book is ...
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Hongyu Liu, Bo Lang • Applied Sciences
(2019)
Networks play important roles in modern life, and cyber security has become a vital research area. An intrusion detection system (IDS) which is an important cyber security technique, monitors the state of software and hardware running in th...
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DOI: https://doi.org/10.3390/app9204396
Mengyuan Zhu, Jiawei Wang, Xiao Yang, Yu Zhang et al. • Eco-Environment & Health
(2022)
With the rapid increase in the volume of data on the aquatic environment, machine learning has become an important tool for data analysis, classification, and prediction. Unlike traditional models used in water-related research, data-driven...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eehl.2022.06.001
PMC: 10702893
Julia Westermayr, Philipp Marquetand • Chemical Reviews
(2020)
Electronically excited states of molecules are at the heart of photochemistry, photophysics, as well as photobiology and also play a role in material science. Their theoretical description requires highly accurate quantum chemical calculati...
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DOI: https://doi.org/10.1021/acs.chemrev.0c00749
PMC: 8391943
Vijay K. Vemuri • Journal of Information Technology Case and Application Research
(2020)
Advances in Artificial intelligence and machine learning have developed beyond the theoretical realm. In fact, several day-to-day applications are currently in use. Although artificial intelligence......
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DOI: https://doi.org/10.1080/15228053.2020.1766224
Yves Kodratoff • CERN Document Server (European Organization for Nuclear Research)
(1988)
1 Why Machine Learning and AI: The Contributions of AI to Learning Techniques 2 Theoretical Foundations for Machine Learning 3 Representation of Complex Knowledge by Clauses 4 Representation of Knowledge about Actions and the Addition of Ne...
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• Human-computer interaction series
(2018)
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DOI: https://doi.org/10.1007/978-3-319-90403-0
Ral Garreta, Guillermo Moncecchi • International Linear Collider
(2013)
The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this...
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Kaiyang Qu, Fei Guo, Xiangrong Liu, Yuan Lin et al. • Frontiers in Microbiology
(2019)
Microorganisms are ubiquitous and closely related to people's daily lives. Since they were first discovered in the 19th century, researchers have shown great interest in microorganisms. People studied microorganisms through cultivation, but...
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DOI: https://doi.org/10.3389/fmicb.2019.00827
PMC: 6482238
Stephen Marsland (2009)
Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is r...
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Alexandre Tkatchenko • Nature Communications
(2020)
Discovering chemicals with desired attributes is a long and painstaking process. Curated datasets containing reliable quantum-mechanical properties for millions of molecules are becoming increasingly available. The development of novel mach...
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DOI: https://doi.org/10.1038/s41467-020-17844-8
PMC: 7431574
Simon Willcock, Javier Martínez‐López, Danny A. P. Hooftman, Kenneth J. Bagstad et al. • Ecosystem Services
(2018)
Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed variables within i...
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DOI: https://doi.org/10.1016/j.ecoser.2018.04.004
Luc De Raedt, Peter A. Flach • Lecture notes in computer science
(2001)
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DOI: https://doi.org/10.1007/3-540-44795-4
Kevin Yang, Zachary Wu, Frances H. Arnold • Nature Methods
(2019)
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Open Access
DOI: https://doi.org/10.1038/s41592-019-0496-6
Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola • The Annals of Statistics
(2008)
We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on the data domain, expanded in terms of a ke...
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Open Access
DOI: https://doi.org/10.1214/009053607000000677
Wang P, Zhang R, Wang M, Zong S et al. • Scientific data
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41597-026-07748-5
PMC: PMC13736846
Liu T, Lei R, Khan IM, Theobald P • BMC genomics
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s12864-026-13103-0
PMC: PMC13737508
Şahin H, Aylı BI, Paksoy N • Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/1744-9987.70183
PMC: PMC13738047
Nakahara H, Niitsu H, Motonaga M, Matsuo H et al. • NPJ genomic medicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41525-026-00595-8
PMC: PMC13737021