Home »
Academic Articles & Research Papers
Showing 20 of 1,123 academic articles
José M. Benítez, Juan Luis Castro, Ignacio Requena • IEEE Transactions on Neural Networks
(1997)
Artificial neural networks are efficient computing models which have shown their strengths in solving hard problems in artificial intelligence. They have also been shown to be universal approximators. Notwithstanding, one of the major criti...
OPENALEX
DOI: https://doi.org/10.1109/72.623216
Dana H. Ballard • National Conference on Artificial Intelligence
(1987)
In the development of large-scale knowledge networks much recent progress has been inspired by connections to neurobiology. An important component of any neural network is an accompanying learning algorithm. Such an algorithm, to be biologi...
OPENALEX
Brian David Ripley • Cambridge University Press eBooks
(1996)
This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511812651
Ayan Mukherjee (2018)
As famously quoted by Margaret Heffernan: - “A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily ...
OPENALEX
• Bloomsbury Publishing Plc eBooks
(2000)
Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior...
OPENALEX
DOI: https://doi.org/10.5040/9781350392434
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji et al. • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for comp...
OPENALEX
Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33013558
Aarush Saxena • International Journal for Research in Applied Science and Engineering Technology
(2022)
Abstract: The field of machine learning has taken a dramatic twist in re- cent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models can far exceed the per- performance of previous for...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2022.47789
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tpami.2022.3218591
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3298981
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...
OPENALEX
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. ...
OPENALEX
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...
OPENALEX
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...
OPENALEX
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1017/s0020589320000366
Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks
(2025)
With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dcan.2025.07.003
Xiaopeng Bai, Xingcai Zhang • Nano-Micro Letters
(2025)
The advancement of materials has played a pivotal role in the advancement of human civilization, and the emergence of artificial intelligence (AI)-empowered materials science heralds a new era with substantial potential to tackle the escala...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s40820-024-01634-8
PMC: 11803041
(2025)
Materials science has always occupied an extremely high position in the human development process. As we explore the oceans of stars, various industries have put forward more stringent requirements for the performance of materials, forcing ...
OPENALEX
DOI: https://doi.org/10.5772/intechopen.1002828
Dorota Glaza-Jankowska • Studia Prawa Publicznego
(2024)
In the era of the Fourth Industrial Revolution, quantum technology is entering the scene with the promise of radically changing the technological paradigm. Quantum computing, simulation, quantum communications and the combination of this...
DOAJ
Open Access (DOAJ)
DOI: 10.14746/spp.2024.3.47.3
Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal
(2025)
This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csbj.2025.11.031
Federica Cuna, Maria Bossa, Fabio Gargano, Mario Nicola Mazziotta • Particles
(2025)
The application of advanced Artificial Intelligence (AI) techniques in astroparticle experiments represents a major advancement in both data analysis and experimental design. As space missions become increasingly complex, integrating AI too...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/particles8040099