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  • Singh N and Tripathi P. (2024). An ensemble technique to predict Parkinson's disease using machine learning algorithms. Speech Communication. 159:C. Online publication date: 1-Apr-2024.

    https://doi.org/10.1016/j.specom.2024.103067

  • Caroline El Fiorenza J and Sellam V. (2024). ESDC-LSH: Ensemble Support-Vector Deep Convolutional Based Levy Selfish Herd Optimization for Prediction and Classification of Parkinson’s Disease. Wireless Personal Communications: An International Journal. 135:3. (1861-1883). Online publication date: 1-Apr-2024.

    https://doi.org/10.1007/s11277-024-11173-5

  • Goyal P and Rani R. (2023). Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson’s Disease Detection. SN Computer Science. 5:1. Online publication date: 6-Dec-2023.

    https://doi.org/10.1007/s42979-023-02368-x

  • Wang K, Hill M, Knowles-Barley S, Tikhonov A, Litchfield L and Bare J. Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation is All You Need. Computer Vision – ACCV 2022 Workshops. (134-150).

    https://doi.org/10.1007/978-3-031-27066-6_10

  • Dhar J. (2022). An adaptive intelligent diagnostic system to predict early stage of parkinson's disease using two-stage dimension reduction with genetically optimized lightgbm algorithm. Neural Computing and Applications. 34:6. (4567-4593). Online publication date: 1-Mar-2022.

    https://doi.org/10.1007/s00521-021-06612-4