Výsledky vyhledávání - "Vinod J. Kadam"

Breast cancer diagnosis using multiple activation deep neural network

Autor: K. Vijayakumar, Vinod J. Kadam, Sudhir Kumar Sharma

Publikováno v: Concurrent Engineering. 29:275-284

Deep Neural Network (DNN) stands for multilayered Neural Network (NN) that is capable of progressively learn the more abstract and composite representations of the raw features of the input data received, with no need for any feature engineering. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e421b275c667998726be99c04e23f608
https://doi.org/10.1177/1063293x211025105

Zobrazit plný text záznamu

Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features

Autor: K. Vijayakumar, Vinod J. Kadam, Sheldon Williamson

Publikováno v: Multimedia Tools and Applications. 81:36869-36889

To look for early breast cancer signs and indications, mammography screening is one of the best approaches available. Screening mammograms are the most commonly recognized procedure and remain the gold standard for early breast cancer screening. But

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7443ebc676645ae759a5ffe7f4cb858a
https://doi.org/10.1007/s11042-021-11114-5

Zobrazit plný text záznamu

Bagging based ensemble of Support Vector Machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification

Autor: Samir S. Yadav, Shivajirao M. Jadhav, Vinod J. Kadam

Publikováno v: International Journal of Hybrid Intelligent Systems. 16:25-33

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95e0512c9b4360aca5ce615f53376e25
https://doi.org/10.3233/his-190276

Zobrazit plný text záznamu

Performance analysis of hyperparameter optimization methods for ensemble learning with small and medium sized medical datasets

Autor: Vinod J. Kadam, Shivajirao M. Jadhav

Publikováno v: Journal of Discrete Mathematical Sciences and Cryptography. 23:115-123

The accuracy of the various classifiers depends mainly on good hyper-parameter and consequently on the scheme (hyper-parameter tuning algorithm) adopted to estimate these values. Currently, the hyp...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d6b337ee6db3fb25add427eb39b5da0
https://doi.org/10.1080/09720529.2020.1721871

Zobrazit plný text záznamu

Machine Learning based Malaria Prediction using Clinical Findings

Autor: Vinod J. Kadam, Samir S. Yadav, Prasad R. Pathak, Shivajirao M. Jadhav, Sagar Jagtap

Publikováno v: 2021 International Conference on Emerging Smart Computing and Informatics (ESCI).

Even today, Malaria is the most deadly disease in Asia and sub-Saharan Africa and particularly in Senegal. This is mainly due to inadequate medical care support with frequent late and error-diagnoses by medical professionals. Besides, mostly used dia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e6f3cee04165b7f23595da7c1ff12d6
https://doi.org/10.1109/esci50559.2021.9396850

Zobrazit plný text záznamu

Parkinson’s Disease Prediction Using a Stacked Generalization Ensemble of kNN and Its Variants with mRMR Feature Selection

Autor: Shivajirao M. Jadhav, Vinod J. Kadam, Mahesh R. Shirsath, Atharv A. Kurdukar

Publikováno v: Algorithms for Intelligent Systems ISBN: 9789811550768

The principal objective of this study was to develop a computer-aided Parkinson’s disease (also called PD) diagnosis system based upon vocal representations. Our two-phase approach uses minimum redundancy maximum relevance (mRMR) algorithm for feat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a81a8e10312a7a6afdb0a9bec62b3436
https://doi.org/10.1007/978-981-15-5077-5_39

Zobrazit plný text záznamu

Arrhythmia Classification using Feature Ensemble Learning based on Stacked Sparse Autoencoders with GA-SVM Guided Features

Autor: Mahesh R. Shirsath, Vinod J. Kadam, Atharv A. Kurdukar, Shivajirao M. Jadhav

Publikováno v: 2020 International Conference on Industry 4.0 Technology (I4Tech).

Arrhythmia is typically detected with ECG tests. One of the main tasks for machine learning is evaluating and classifying proper arrhythmia from complicated ECG dataset. The strategy proposed in this paper involves the following phases (stages): (1)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a7dc5c2aed22d2a22d902d0e4005a07
https://doi.org/10.1109/i4tech48345.2020.9102675

Zobrazit plný text záznamu

Comparative Analysis of Ensemble Classifier and Single Base Classifier in Medical Disease Diagnosis

Autor: Shivajirao M. Jadhav, Samir S. Yadav, Vinod J. Kadam

Publikováno v: Communication and Intelligent Systems ISBN: 9789811533242

The speedy development of the amount of medical health information available to the healthcare industry is driving demand for more accurate, precise, and reliable tools for exploiting these data. Real-world experience suggests that combining the pred

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e830ac464e37bb9837a0034b62f8b4e6
https://doi.org/10.1007/978-981-15-3325-9_37

Zobrazit plný text záznamu

An Expert Diagnosis System for Parkinson’s Disease Using Bagging-Based Ensemble of Polynomial Kernel SVMs with Improved GA-SVM Features Selection

Autor: Shivajirao M. Jadhav, Vinod J. Kadam, Atharv A. Kurdukar

Publikováno v: Proceeding of International Conference on Computational Science and Applications ISBN: 9789811507892

The primary goal of this work was to build an effective soft computing and machine learning-based automated system for classification of Parkinson’s disease using vocal measurements. The proposed two-phase model includes novel feature selection usi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ca3be42c83411ed97ed9133c6015dc8
https://doi.org/10.1007/978-981-15-0790-8_23

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání