Found: 14
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A developed GPS trajectories data management system for predicting tourists' POI.
- Published in:
- Telkomnika, 2020, v. 18, n. 1, p. 124, doi. 10.12928/TELKOMNIKA.v18i1.13006
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- Article
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.
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- Journal of Medical Systems, 2020, v. 44, n. 7, p. 1, doi. 10.1007/s10916-020-01582-x
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- Article
Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making.
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- Complex & Intelligent Systems, 2024, v. 10, n. 5, p. 6159, doi. 10.1007/s40747-024-01432-0
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- Article
Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications.
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- International Journal of Computational Intelligence Systems, 2024, v. 17, n. 1, p. 1, doi. 10.1007/s44196-024-00543-3
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- Article
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review.
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- International Journal of Telemedicine & Applications, 2022, p. 1, doi. 10.1155/2022/3551528
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- Article
Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods.
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- International Journal of Information Technology & Decision Making, 2020, v. 19, n. 05, p. 1247, doi. 10.1142/S0219622020500285
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- Article
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model.
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- Neural Computing & Applications, 2024, v. 36, n. 29, p. 18161, doi. 10.1007/s00521-024-09905-6
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- Article
A comprehensive review of deep learning power in steady-state visual evoked potentials.
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- Neural Computing & Applications, 2024, v. 36, n. 27, p. 16683, doi. 10.1007/s00521-024-10143-z
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- Article
Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features.
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- Neural Computing & Applications, 2023, v. 35, n. 1, p. 921, doi. 10.1007/s00521-022-07822-0
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- Article
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications.
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- International Journal of Intelligent Systems, 2021, v. 36, n. 9, p. 4723, doi. 10.1002/int.22489
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- Article
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method.
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- Computational Intelligence, 2023, v. 39, n. 2, p. 225, doi. 10.1111/coin.12562
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- Article
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues.
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- Artificial Intelligence Review, 2023, v. 56, p. 53, doi. 10.1007/s10462-023-10536-x
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- Article
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.
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- Computational & Mathematical Methods in Medicine, 2022, v. 2022, p. 1, doi. 10.1155/2022/9410222
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- Article
Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME.
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- International Journal of Fuzzy Systems, 2024, v. 26, n. 1, p. 274, doi. 10.1007/s40815-023-01597-9
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- Article