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Academic Articles & Research Papers
Showing 20 of 1,128 academic articles
Andi Febriana Tamrin, Miselin Adveni, Basri Basri • CaLLs: Journal of Culture, Arts, Literature, and Linguistics
(2023)
This study analyses the types of neurotic needs experienced by Griffin through three kinds of neurotic conditions, which indicate that he has a neurotic disorder. This study uses psychoanalysis social by Karen Horney's theory about the type...
DOAJ
Open Access (DOAJ)
DOI: 10.30872/calls.v9i2.9080
Xinhui Liu, Jifa Chen, Qiubo Huang • Applied Sciences
(2025)
With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084236
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf et al. • arXiv (Cornell University)
(2020)
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Recent developments in computational power and the advent of l...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2003.01200
Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports
(2021)
Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-021-88027-8
Meytal Wilf, Michal Ramot, Edna Furman-Haran, Anat Arzi et al. • PLoS ONE
(2016)
Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participa...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0157143
Adam L. Berger, Vincent J. Della Pietra, Stephen A. Della Pietra (1996)
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statisti...
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DOI: https://doi.org/10.5555/234285.234289
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning
(2023)
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
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Open Access
DOI: https://doi.org/10.1561/2200000096
Fangyan Huo, Yihua Li • Discover Artificial Intelligence
(2026)
Abstract This study presents a Data Fusion + Random Forest (RF) framework to predict adult learners’ educational outcomes, such as dropout risk and course completion. Adult lifelong learning is crucial for personal and professional growth, ...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01962-1
Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health
(2025)
Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...
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Open Access (DOAJ)
DOI: 10.1186/s13690-025-01784-0
Łukasz Dębowski • Entropy
(2021)
We present a hypothetical argument against finite-state processes in statistical language modeling that is based on semantics rather than syntax. In this theoretical model, we suppose that the semantic properties of texts in a natural langu...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e23091148
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Akinmameji Oluwayemisi Olusola • Linguistik Online
(2020)
Literature abounds on the way gender issues are foregrounded in both literary and non-literary texts. Many of these studies, especially from the linguistic perspective, fail to pay attention to how proverbs and figurative expressions are us...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/lo.101.6679
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
DOAJ
Open Access (DOAJ)
Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma • IEEE Reviews in Biomedical Engineering
(2022)
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
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Open Access
DOI: https://doi.org/10.1109/rbme.2022.3210270
Yoav Goldberg • Journal of Artificial Intelligence Research
(2016)
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be ap...
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DOI: https://doi.org/10.1613/jair.4992
Saleh Rahimi, Faramarz Soheili • جامعه شناسی کاربردی
(2025)
IntroductionBibliometric analysis is widely acknowledged as a robust and systematic approach for examining extensive scholarly literature. It serves as a vital tool for mapping the landscape of contemporary research across various academic ...
DOAJ
Open Access (DOAJ)
DOI: 10.22108/jas.2025.144379.2609
Aneeqa Ahmad, Musarrat Azher, Muhammad Asim Mahmood • NUML Journal of Critical Inquiry
(2025)
This study aims at investigating how humor is constructed in corporate memes through cognitive mechanisms and how corporate memes are used as a collective voice by Pakistani employees to express discontent with their work culture and organi...
DOAJ
Open Access (DOAJ)
DOI: 10.52015/numljci.v23iII.296
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin et al. • Journal of China Computer-Assisted Language Learning
(2024)
The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian lang...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/jccall-2024-0006
Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler et al. • ACM Conference on Fairness, Accountability, and Transparency (FAccT)
(2021)
In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Recent research taking issue with such opacity has proposed standardized processes for dataset documentatio...
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DOI: https://doi.org/10.1145/3442188.3445880