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Academic Articles & Research Papers
Showing 20 of 648 academic articles
David Barber • Cambridge University Press eBooks
(2012)
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot ...
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DOI: https://doi.org/10.1017/cbo9780511804779
Sendhil Mullainathan, Jann Spiess • The Journal of Economic Perspectives
(2017)
Machines are increasingly doing “intelligent” things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to ...
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DOI: https://doi.org/10.1257/jep.31.2.87
Musa Gün, Ahmet Akusta, Haydar Karadağ • İstanbul İktisat Dergisi
(2025)
This study aims to examine the impact of macro-financial indicators on the housing sales volume in Türkiye and evaluate the forecasting performance of traditional time-series models versus modern machine-learning algorithms. Using monthly d...
DOAJ
Open Access (DOAJ)
DOI: 10.26650/ISTJECON2025-1707729
Anzar Abbas, Vijay Yadav, Emma Smith, Elizabeth Ramjas et al. • Digital Biomarkers
(2021)
Introduction: Motor abnormalities have been shown to be a distinct component of schizophrenia symptomatology. However, objective and scalable methods for assessment of motor functioning in schizophrenia are lacking. Advancements in machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1159/000512383
Mario D. Molina, Filiz Garip • Annual Review of Sociology
(2019)
Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information and knowledge from data. Its applications increasingly find their way into economics, political science, and soci...
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Open Access
DOI: https://doi.org/10.1146/annurev-soc-073117-041106
Atılım Güneş Baydin, Barak A. Pearlmutter, Alexey Radul, Jeffrey Mark Siskind • Maynooth University ePrints and eTheses Archive (Maynooth University)
(2015)
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD) is a technique for calculating derivatives of numeric functions expressed as computer programs efficiently and acc...
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Open Access
Marcos Gabriel Mendes Lauande, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Vandecia Rejane Monteiro Fernandes et al. • Data in Brief
(2025)
Penile cancer has an incidence strongly linked to sociocultural factors, being more common in underdeveloped countries like Brazil, where it represents approximately 2% of cancers affecting men. This dataset was created to address the scarc...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.111823
Ployrada Suvarnakuta, Intouch Prakaisak, Pittipol Kantavat, Boonserm Kijsirikul et al. • Engineered Science
(2025)
This study proposes a machine learning framework for predicting perceived urban quality of life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.30919/es1972
Peter de B. Harrington (2012)
SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to bui...
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Solveig Badillo, Balázs Bánfai, Fabian Birzele, Iakov I. Davydov et al. • Clinical Pharmacology & Therapeutics
(2020)
In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever-increasing amount of data and computational power as well as the discovery of improved learning algorithm...
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cc-by-nc-nd
DOI: https://doi.org/10.1002/cpt.1796
PMC: 7189875
Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki • Scientific Reports
(2024)
Abstract Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasiv...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-73898-4
Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології
(2025)
Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...
DOAJ
Open Access (DOAJ)
DOI: 10.31891/csit-2025-2-3
Aida Meto, Gerta Halilaj • Applied Sciences
(2025)
(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15116308
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
DOAJ
Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
Ashish Srivastava • Krytyka Prawa
(2024)
Francis Bacon says knowledge is power. The creation of knowledge and its dissemina-tion largely depends on the creation of literary works. The great works of Shakespeare, da Vinci, Homer, Picasso, Milton, Tagore etc. have been a treasure tr...
DOAJ
Open Access (DOAJ)
DOI: 10.7206/kp.2080-1084.617
Nishith Reddy Mannuru, Sakib Shahriar, Zoë Abbie Teel, Ting Wang et al. • Information Development
(2023)
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative ...
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DOI: https://doi.org/10.1177/02666669231200628
Cristina Ramírez-Aroca, Arash Javadinejad • Education Sciences
(2026)
This study examines how Artificial Intelligence (AI) can enhance Content and Language Integrated Learning (CLIL) through embodied, multimodal instruction in secondary Physical Education (PE). Drawing on Fernández Fontecha’s Content and Lang...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/educsci16010062
O. V. Manzhai, А. О. Потильчак • Law and Safety
(2020)
In this paper tools, organization and tactics of crime mapping are analyzed. The directions of application of mapping for maintenance of public safety and order, in criminal intelligence process, etc. are outlined. The domestic experience o...
DOAJ
Open Access (DOAJ)
DOI: 10.32631/pb.2020.4.10
Darissa Alves Dutra, Richard Luan Silva Machado, Mariany Costa Deprá, Adriane Terezinha Schneider et al. • Bioengineering
(2026)
Microalgae are promising platforms for biomass production, carbon capture, biofuels, and high-value bioproducts. However, despite significant advances in cultivation technologies, reactor engineering, and metabolic engineering, industrial i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bioengineering13091011
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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cc-by
DOI: https://doi.org/10.2139/ssrn.4831911