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Academic Articles & Research Papers
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Xiang-Sun Zhang • Nonconvex optimization and its applications
(2000)
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DOI: https://doi.org/10.1007/978-1-4757-3167-5_5
• The MIT Press eBooks
(1998)
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have...
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DOI: https://doi.org/10.7551/mitpress/5704.001.0001
Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences
(2021)
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...
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Open Access
DOI: https://doi.org/10.1109/trpms.2021.3066428
PMC: 9105427
• Springer eBooks
(2012)
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DOI: https://doi.org/10.1007/springerreference_117344
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Cohen, Jonathan et al. • arXiv (Cornell University)
(2014)
We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and time-consuming. As parallel architectures evolve, kernels mu...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1410.0759
Umberto Michelucci • Apress eBooks
(2018)
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this compr...
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Open Access
DOI: https://doi.org/10.1007/978-1-4842-3790-8
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence
(2022)
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...
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Open Access
DOI: https://doi.org/10.1109/tpami.2022.3218591
Julien Cornebise, Cardoso, Jaime S, Lu, Zhi, Marco Loog et al. • Lecture notes in computer science
(2016)
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Open Access
DOI: https://doi.org/10.1007/978-3-319-46976-8
Santanu Pattanayak • Apress eBooks
(2017)
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with T...
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DOI: https://doi.org/10.1007/978-1-4842-3096-1
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong • ACM Transactions on Intelligent Systems and Technology
(2019)
Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to t...
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Open Access
DOI: https://doi.org/10.1145/3298981
Sašo Džeroski, Luc De Raedt, Stefan Wrobel (2005)
This volume, which is also available online from http://www.machinelearning.org, contains the papers accepted for presentation at ICML-2005, the 22nd lnternational Conference on Machine Learning, which was held at the University of Bonn in ...
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Pratik Gajane, Pechenizkiy, Mykola • arXiv (Cornell University)
(2017)
Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are employed to prevent such algorithms from systematically dis...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1710.03184
• Journal of Machine Learning Technologies
(2024)
The Journal of Machine Learning Technologies, ISSN: 2229–3981 & ISSN: 2229-399X, aims to publish all the latest and outstanding research articles, reviews and letters in all areas of Machine Learning Technologie. Each issue contains a serie...
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DOI: https://doi.org/10.9735/2229-3981
Deniz Susar, Vincenzo Aquaro • International Conference on Theory and Practice of Electronic Governance
(2019)
Artificial Intelligence (AI) refers to a set of technologies through which "intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that enable them to perform tasks previously thought to rely so...
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DOI: https://doi.org/10.1145/3326365.3326420
Yinying Wang • Journal of Educational Administration
(2021)
Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...
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DOI: https://doi.org/10.1108/jea-10-2020-0216
Hamid R. Tizhoosh, Liron Pantanowitz • Journal of Pathology Informatics
(2018)
In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manif...
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cc-by-nc-sa
DOI: https://doi.org/10.4103/jpi.jpi_53_18
PMC: 6289004
Masoud Yazdani • Chapman & Hall eBooks
(1986)
Part 1. Principles of artificial intelligence, John Campbell. Part 2 Tools and techniques: artificial intelligence programming environments and the POPLOG system, John Gibson LISP, lists and pattern-matching, Tony Hasemer. Part 3 Applicatio...
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Simon Arthur Chesterman • International and Comparative Law Quarterly
(2020)
Abstract As artificial intelligence (AI) systems become more sophisticated and play a larger role in society, arguments that they should have some form of legal personality gain credence. The arguments are typically framed in instrumental t...
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cc-by
DOI: https://doi.org/10.1017/s0020589320000366
Matipa Ricky Ngandu, David Risinamhodzi, Godwin Pedzisai Dzvapatsva, Courage Matobobo • Discover Education
(2023)
Abstract ICT tools in education are widely used to support the aim of achieving learning outcomes by improving critical areas such as student engagement, participation, and motivation. In this study, we examine literature to explore how gam...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44217-023-00069-4
LIN Yan, JIN Tingyu, YANG Yuchao • Shanghai Jiaotong Daxue xuebao
(2024)
Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...
DOAJ
Open Access (DOAJ)
DOI: 10.16183/j.cnki.jsjtu.2022.508