has been cited by the following article(s):
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[1]
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Development of a negative selection algorithm for ship collision risk detection
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2023 |
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[2]
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A Comparative and Comprehensive Analysis of Prediction of Parkinson's Disease
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… and Applications in …,
2022 |
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13 A Comparative and
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… and Applications in …,
2022 |
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[4]
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A Study On Deep Learning And Machine Learning Techniques On Detection Of Parkinson's Disease
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E3S Web of Conferences,
2021 |
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[5]
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Derin öğrenme yöntemleri ve kelime yerleştirme modelleri kullanılarak Parkinson hastalığının duygu analiziyle değerlendirilmesi
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2021 |
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[6]
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Machine Learning and Deep Learning Models for Diagnosis of Parkinson's Disease: A Performance Analysis
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2021 Fifth International Conference on I …,
2021 |
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[7]
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A comparative and comprehensive study of prediction of parkinson's disease
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Indonesian Journal of …,
2021 |
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[8]
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Derin öğrenme yöntemleri ve kelime yerleştirme modelleri kullanılarak Parkinson hastalığının duygu analiziyle değerlendirilmesi The evaluation of Parkinson's …
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2020 |
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[9]
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Analysis of Parkinson's disease using deep learning and word embedding models
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2019 |
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[10]
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A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction
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International Journal of Computer Science and Information Technologies,
2015 |
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[11]
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Determination of Parkinson's Disease with Machine Learning Techniques
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2014 |
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[12]
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Comparison Of K Nearest Neighbours And Regression Tree Classifiers Used With Clonal Selection Algorithm To Diagnose Haematological Diseases
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2014 |
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[13]
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Makine Öğrenmesi Teknikleriyle Parkinson Hastalığının Belirlenmesi
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2014 |
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[14]
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A new hybrid intelligent system for accurate detection of Parkinson's disease
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Computer methods and programs in biomedicine,
2014 |
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[15]
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Efficacy and Safety of Twice-Daily Treatment With Canagliflozin, a Sodium Glucose Co- Transporter 2 Inhibitor, Added on to Metformin Monotherapy in Patients With Type 2 Diabetes Mellitus
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Journal of Clinical & Translational Endocrinology,
2014 |
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[16]
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Diagnosis of Parkinson's Disease using Fuzzy C-Means Clustering and Pattern Recognition
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SouthEast Europe Journal of Soft Computing,
2013 |
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[17]
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Diagnosis of Parkinson's Disease using Principal Component Analysis and Boosting Committee Machines
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SouthEast Europe Journal of Soft Computing,
2013 |
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[18]
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A COMPARISON OF FEATURE SELECTION METHODS FOR DIAGNOSIS OF PARKINSON'S DISEASE FROM VOCAL MEASUREMENTS
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Sigma,
2012 |
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[1]
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A Study On Deep Learning And Machine Learning Techniques On Detection Of Parkinson’s Disease
E3S Web of Conferences,
2021
DOI:10.1051/e3sconf/202130901008
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[2]
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Machine Learning and Deep Learning Models for Diagnosis of Parkinson’s Disease: A Performance Analysis
2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC),
2021
DOI:10.1109/I-SMAC52330.2021.9640632
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[3]
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Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models
Academic Perspective Procedia,
2019
DOI:10.33793/acperpro.02.03.86
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[4]
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A new hybrid intelligent system for accurate detection of Parkinson's disease
Computer Methods and Programs in Biomedicine,
2014
DOI:10.1016/j.cmpb.2014.01.004
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