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Academic Articles & Research Papers
Showing 20 of 446 academic articles
Martinez D, Rozova V, Murray C, Han W et al. • Yearbook of medical informatics
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1055/s-0046-1816632
PMC: PMC13730725
Lee DT, Yen S, Deng G, Elkersh Y et al. • Frontiers in endocrinology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3389/fendo.2026.1939077
PMC: PMC13730829
Khademi S, Dimaguila GL, Palmer C, Javed M et al. • American journal of epidemiology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1093/aje/kwag076
PMC: PMC13733539
Sompalle P, Perrone J, Wightman R, Love J et al. • Journal of addiction medicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1097/ADM.0000000000001760
PMC: PMC13733439
Tummalapalli SL, Manganel M, Simmons W, Lin J et al. • Kidney international reports
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.ekir.2026.107012
PMC: PMC13634884
Stefan Valerian Pantazi, José F. Arocha, Jochen R. Moehr • BMC Medical Informatics and Decision Making
(2004)
BACKGROUND: The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four ...
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DOI: https://doi.org/10.1186/1472-6947-4-19
PMC: 544898
Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports
(2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-63021-y
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda et al. • RePEc: Research Papers in Economics
(2022)
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the fi...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2201.02773
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Peratham Wiriyathammabhum, Douglas A. Summers-Stay, Cornelia M. Fermuller, Yiannis Aloimonos • ACM Computing Surveys
(2016)
Integrating computer vision and natural language processing is a novel interdisciplinary field that has received a lot of attention recently. In this survey, we provide a comprehensive introduction of the integration of computer vision and ...
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DOI: https://doi.org/10.1145/3009906
Rafael A. Calvo, David Milne, M. Sazzad Hussain, Helen M Christensen • Natural Language Engineering
(2017)
Abstract Natural language processing (NLP) techniques can be used to make inferences about peoples’ mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways ...
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DOI: https://doi.org/10.1017/s1351324916000383
Barbara J. Grosz • Artificial Intelligence
(1982)
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DOI: https://doi.org/10.1016/0004-3702(82)90032-7
François Yvon • Lecture notes in computer science
(2023)
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Open Access
DOI: https://doi.org/10.1007/978-3-031-24349-3_6
Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing
(2022)
Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...
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Open Access
DOI: https://doi.org/10.1097/cin.0000000000000967
PMC: 11499545
Diane J. Litman • Proceedings of the AAAI Conference on Artificial Intelligence
(2016)
Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the ne...
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Open Access
DOI: https://doi.org/10.1609/aaai.v30i1.9879
Mallory Selfridge • Artificial Intelligence in Engineering
(1987)
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DOI: https://doi.org/10.1016/0954-1810(87)90076-8
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
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Open Access
DOI: https://doi.org/10.55041/ijsrem27094
Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...
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Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33017322
Renáta Németh, Júlia Koltai • Intersections
(2023)
Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...
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DOI: https://doi.org/10.17356/ieejsp.v9i1.871