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Academic Articles & Research Papers
Showing 20 of 59 academic articles
Fredrik Olsson • KTH Publication Database DiVA (KTH Royal Institute of Technology)
(2009)
Active learning is a supervised machine learning technique in which the learner is in control of the data used for learning. That control is utilized by the learner to ask an oracle, typically a human with extensive knowledge of the domain ...
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María Angela Jure, Leonardo Albarracin, Juan Martin Vargas, Stefania Dentice Maidana et al. • Journal of Global Antimicrobial Resistance
(2021)
ABSTRACT: Objectives: The emergence and spread of hypermucoviscous KPC-2-producing Klebsiella pneumoniae strains belonging to the sequence type 25 (ST25) clone was reported recently in Northwest Argentina as a leading cause of nosocomial in...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jgar.2021.05.018
Luis Mariano Bibbo, Alejandro Fernandez, José Manuel Suarez, Oscar Pastor • Memoria Investigaciones en Ingeniería
(2024)
This annotated bibliography delves into the field of quantum computing, focusing specifically on the resources used throughout the software life cycle. It examines several published works that analyze quantum software modelling in the conte...
DOAJ
Open Access (DOAJ)
DOI: 10.36561/ING.27.19
Jiatong Bao, Yunyi Jia, Yu Cheng, Hongru Tang et al. • Sensors
(2016)
Controlling robots by natural language (NL) is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand N...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s16122117
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health
(2022)
BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.850619
Anke Holler, Anna Mareike Weimer, Benjamin Gittel, Caroline Sporleder et al. • Journal of Computational Literary Studies
(2024)
The paper analyses within-fiction reflections in 250 years of literary history. To this end, we formalised the concept of “reflective passage”, demonstrate how our annotation categories are deduced from literary theory and derive three subp...
DOAJ
Open Access (DOAJ)
DOI: 10.48694/jcls.3861
Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access
(2024)
In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3419024
Anne Thessen, Hong Cui, Dmitry Mozzherin • Advances in Bioinformatics
(2012)
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if bio...
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DOI: https://doi.org/10.1155/2012/391574
PMC: 3364545
Miao Jiang, Honghui Chen • Applied Sciences
(2025)
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052521
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....
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DOI: https://doi.org/10.1111/lnc3.12432
PMC: 9285808
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)
Alicja Wójcicka, Mateusz Kopeć • Cognitive Studies | Études cognitives
(2016)
Mention Detection for Coreference Resolution in Polish. Development of the Formal Grammar
This paper presents the results of an improvement and extension of the Shallow Grammar of Polish, designed for the needs of the Computer-based Method...
DOAJ
Open Access (DOAJ)
DOI: 10.11649/cs.2016.012
Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports
(2025)
Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18886-y
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis • IEEE Access
(2026)
Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3728048
Shahrzad Gholami, Derek E. Lee, Caleb Robinson, Monica L. Bond et al. • Scientific Reports
(2026)
Abstract Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture–recapture, demographic analyses, and behavioral research. We pr esent GIRAFFE (Generalized Image-based...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-54115-w
Zahraa Tarek, Esraa Hasan • Journal of the Saudi Society of Agricultural Sciences
(2026)
Abstract Self-supervised learning (SSL) has emerged as a pivotal paradigm in computer vision, particularly for applications where labeled data are limited, costly, or labor-intensive to obtain. This paradigm is especially relevant to sustai...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44447-026-00151-x
Yu-wen Chen, Ju Zhang, Peng Wang, Zheng-yu Hu et al. • Frontiers in Computational Neuroscience
(2022)
Computer-assisted surgery (CAS) has occupied an important position in modern surgery, further stimulating the progress of methodology and technology. In recent years, a large number of computer vision-based methods have been widely used in ...
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Open Access (DOAJ)
DOI: 10.3389/fncom.2022.998096
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery
(2019)
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
Mengchen Huang, Ruben Fernandez-Beltran, Ginés García-Mateos • Sensors
(2024)
Shadow, a natural phenomenon resulting from the absence of light, plays a pivotal role in agriculture, particularly in processes such as photosynthesis in plants. Despite the availability of generic shadow datasets, many suffer from annotat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24092737