Works matching IS 2624909X AND DT 2024
Results: 110
Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1469981
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Big data and AI for gender equality in health: bias is a big challenge.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1436019
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Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1406365
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Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1435510
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AI security and cyber risk in IoT systems.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1402745
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Ontology extension by online clustering with large language model agents.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1463543
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Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1406365
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Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1462745
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Making the most of big qualitative datasets: a living systematic review of analysis methods.
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- Frontiers in Big Data, 2024, p. 01
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Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach.
- Published in:
- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1469981
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- Publication type:
- Article
Making the most of big qualitative datasets: a living systematic review of analysis methods.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1455399
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Data-driven classification and explainable-AI in the field of lung imaging.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1393758
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Current state of data stewardship tools in life science.
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- Frontiers in Big Data, 2024, p. 01, doi. 10.3389/fdata.2024.1428568
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Navigating pathways to automated personality prediction: a comparative study of small and medium language models.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1387325
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When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1441869
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SparkDWM: a scalable design of a Data Washing Machine using Apache Spark.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1446071
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Deepfake: definitions, performance metrics and standards, datasets, and a meta-review.
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- Frontiers in Big Data, 2024, p. 01, doi. 10.3389/fdata.2024.1400024
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Sparse and Expandable Network for Google’s Pathways.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1348030
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Efficient use of binned data for imputing univariate time series data.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1422650
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Equitable differential privacy.
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- Frontiers in Big Data, 2024, p. 01, doi. 10.3389/fdata.2024.1420344
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Data science's cultural construction: qualitative ideas for quantitative work.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1287442
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Technologies and main functionalities of the telemonitoring application reCOVeryaID.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1360092
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The development and application of a novel E-commerce recommendation system used in electric power B2B sector.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1374980
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Technologies and main functionalities of the telemonitoring application reCOVeryaID.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1360092
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Real driving cycles and emissions for urban freight transport.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1375455
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Beyond surveillance: privacy, ethics, and regulations in face recognition technology.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1337465
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Efficient enhancement of low-rank tensor completion via thin QR decomposition.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1382144
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Global explanation supervision for Graph Neural Networks.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1410424
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Random kernel k-nearest neighbors regression.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1402384
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YOLOv8's advancements in tuberculosis identification from chest images.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1401981
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MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1371680
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Toward the design of persuasive systems for a healthy workplace: a real-time posture detection.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1359906
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Source-free domain adaptation for semantic image segmentation using internal representations.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1359317
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An encoding framework for binarized images using hyperdimensional computing.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1371518
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Unilateral boundary time series forecasting.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1376023
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Facial recognition technology: regulations, rights and the rule of law.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1354659
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Particulate matter forecast and prediction in Curitiba using machine learning.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1412837
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From theory to practice: insights and hurdles in collecting social media data for social science research.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1379921
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Stable tensor neural networks for effocient deep learning.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1363978
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Analyzing political party positions through multi-language twitter text embeddings.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1330392
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A time-robust group recommender for featured comments on news platforms.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1399739
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Big data and its impact on the 3Rs: a home cage monitoring oriented review.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1390467
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Development and application of a machine learning-based predictive model for obstructive sleep apnea screening.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1353469
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Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification.
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- Frontiers in Big Data, 2024, p. 01, doi. 10.3389/fdata.2024.1384240
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A systematic literature review on the impact of AI models on the security of code generation.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1386720
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A systematic literature review on the impact of AI models on the security of code generation.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1386720
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Visualization as irritation: producing knowledge about medieval courts through uncertainty.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1188620
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Quantifying uncertainty in graph neural network explanations.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1392662
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Challenges and efforts in managing AI trustworthiness risks: a state of knowledge.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1381163
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A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics.
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- Frontiers in Big Data, 2024, p. 1, doi. 10.3389/fdata.2024.1375818
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