Envelope multi-type transformation ensemble algorithm of Parkinson speech samples
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Envelope multi-type transformation ensemble algorithm of Parkinson speech samples
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-11-30
DOI
10.1007/s10489-022-04345-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
- (2022) M. Tanveer et al. INFORMATION PROCESSING & MANAGEMENT
- Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
- (2022) Mostafa Ghane et al. Biocybernetics and Biomedical Engineering
- Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm
- (2022) Guidong Bao et al. Biosensors-Basel
- Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines
- (2021) Renato W.R. de Souza et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep dual-side learning ensemble model for Parkinson speech recognition
- (2021) Jie Ma et al. Biomedical Signal Processing and Control
- Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson’s Disease Detection
- (2021) Muntasir Hoq et al. Diagnostics
- MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
- (2021) Liaqat Ali et al. Frontiers in Neuroscience
- Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model for Parkinson’s Disease Speech Data
- (2021) Mingyao Yang et al. Diagnostics
- Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification
- (2021) Yuhong Xu et al. IEEE Transactions on Neural Networks and Learning Systems
- Speech Based Estimation of Parkinson’s Disease Using Gaussian Processes and Automatic Relevance Determination
- (2020) Vladimir Despotovic et al. NEUROCOMPUTING
- Local discriminant preservation projection embedded ensemble learning based dimensionality reduction of speech data of Parkinson’s disease
- (2020) Yuchuan Liu et al. Biomedical Signal Processing and Control
- Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis
- (2020) Kishore Balasubramanian et al. NEURAL COMPUTING & APPLICATIONS
- A Deep Graph Neural Network-Based Mechanism for Social Recommendations
- (2020) Zhiwei Guo et al. IEEE Transactions on Industrial Informatics
- Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection
- (2019) Liaqat Ali et al. EXPERT SYSTEMS WITH APPLICATIONS
- Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
- (2019) Lei Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease
- (2018) Deepak Gupta et al. Cognitive Systems Research
- A hybrid evolutionary preprocessing method for imbalanced datasets
- (2018) Ginny Y. Wong et al. INFORMATION SCIENCES
- Evolutionary Wavelet Neural Network ensembles for breast cancer and Parkinson’s disease prediction
- (2018) Maryam Mahsal Khan et al. PLoS One
- Classifying Parkinson’s Disease Based on Acoustic Measures Using Artificial Neural Networks
- (2018) Lucijano Berus et al. SENSORS
- Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease
- (2017) A. Benba et al. IRBM
- A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease
- (2017) Zhennao Cai et al. IEEE Access
- Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
- (2017) Sabri Boughorbel et al. PLoS One
- Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples
- (2016) He-Hua Zhang et al. Biomedical Engineering Online
- A novel diagnosis system for Parkinson’s disease using complex-valued artificial neural network with k-means clustering feature weighting method
- (2016) Hüseyin Gürüler NEURAL COMPUTING & APPLICATIONS
- Computer-Aided Diagnosis of Parkinson’s Disease Using Complex-Valued Neural Networks and mRMR Feature Selection Algorithm
- (2015) Musa Peker et al. Journal of Healthcare Engineering
- Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings
- (2013) B. E. Sakar et al. IEEE Journal of Biomedical and Health Informatics
- Chi-square distance kernel of the gaits for the diagnosis of Parkinson's disease
- (2012) Mohammad Reza Daliri Biomedical Signal Processing and Control
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease
- (2012) A. Tsanas et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Selection of vocal features for Parkinson's Disease diagnosis
- (2012) Olcay Kursun et al. International Journal of Data Mining and Bioinformatics
- Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms
- (2011) Akin Ozcift et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A parallel neural network approach to prediction of Parkinson’s Disease
- (2011) Freddie Åström et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering
- (2011) Kemal Polat INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Feature selection using fuzzy entropy measures with similarity classifier
- (2010) Pasi Luukka EXPERT SYSTEMS WITH APPLICATIONS
- Multiclass Relevance Vector Machines: Sparsity and Accuracy
- (2010) Ioannis Psorakis et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now