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Academic Articles & Research Papers
Showing 20 of 4,934 academic articles
Palash Goyal, Sumit Kumar Pandey, Karan Jain • Apress eBooks
(2018)
Discover the concepts of deep learning used for natural language processing (NLP) in this practical book, with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-3685-7
Antonio Di Marino, Vincenzo Bevilacqua, Emanuel Di Nardo, Angelo Ciaramella et al. • Discover Artificial Intelligence
(2026)
Abstract Full-reference image quality assessment metrics such as PSNR and SSIM misalign with human perceptual judgments on texture and shape distortions, a limitation documented across multiple benchmarks. Deep perceptual metrics such as LP...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02424-4
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, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01962-1
Alexander V. Prokopev, Nadezhda V. Puchkova, Natalya V. Timofeeva, Anna V. Simakova et al. • Север и рынок: формирование экономического порядка
(2025)
This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the min...
DOAJ
Open Access (DOAJ)
DOI: 10.37614/2220-802X.4.2025.90.004
Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research
(2026)
Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102511
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 ...
OPENALEX
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DOI: https://doi.org/10.1093/nsr/nwx110
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen et al. • arXiv (Cornell University)
(2011)
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1103.0398
Dirk Hovy, Shrimai Prabhumoye • Language and Linguistics Compass
(2021)
Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context....
OPENALEX
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DOI: https://doi.org/10.1111/lnc3.12432
PMC: 9285808
CollobertRonan, WestonJason, BottouLéon, KarlenMichael et al. • Journal of Machine Learning Research
(2011)
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity rec......
OPENALEX
DOI: https://doi.org/10.5555/1953048.2078186
Detmar Meurers • Wiley eBooks
(2012)
Abstract As a relatively young field of research and development that began with work on crypt‐analysis and machine translation around 50 years ago, natural language processing (NLP) is concerned with the automated processing of human langu...
OPENALEX
DOI: https://doi.org/10.1002/9781405198431.wbeal0858
Tristan Millington, Saturnino Luz • Frontiers in Computer Science
(2021)
In this paper we construct word co-occurrence networks from transcript data of controls and patients with potential Alzheimer’s disease using the ADReSS challenge dataset of spontaneous speech. We examine measures of the structure of these ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomp.2021.649508
Shahzeb Ansari, Haiping Du, Fazel Naghdy, Ayaz Ahmed Hoshu et al. • Safety
(2024)
Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological o...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/safety10010009
Guillaume Loignon • Mesure et Évaluation en Éducation
(2021)
Estimating language complexity is an important aspect of educational measurement and assessment that can be used, for instance, to control for unwanted variance due to language, or to provide students with texts that are conducive to learni...
DOAJ
Open Access (DOAJ)
DOI: 10.7202/1095682ar
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 ...
OPENALEX
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...
OPENALEX
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DOI: https://doi.org/10.1613/jair.4992
Ronan Collobert, Jason Weston • International Conference on Machine Learning
(2008)
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity tags, semantic roles, semantically similar words and the lik...
OPENALEX
DOI: https://doi.org/10.1145/1390156.1390177
Lorenzo Devilla, Nicla Mercurio • Linguistik Online
(2026)
Since the early twenty-first century, ecological, economic, and geopolitical crises have intensified challenges related to food systems, reshaping dietary practices and individual relationships with the environment. Sustainable food consump...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/csznaa09
Kai Wang, Kunjian Wen, Yanping Chen, Yongbin Qin • Scientific Reports
(2025)
Abstract Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often cl...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-87722-0
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
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255