Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Samir Shrihari Yadav
Dr.babasaheb Ambedkar Technological University, lonere, Lonere
PhD Student
Personal Web Site:
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1987
Short Biography
A focused professional with 6 of experience in Research, Guidance in teaching and project. • Guided and completed more than 15 projects in machine learning and its application. • Strong motivational and leadership skills. • Ability to work as an individual as well as in group. • Highly motivated and eager to learn new things. • Updated knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment, participating in educational opportunities, reading professional publications and maintaining personal networks
List of top 5 publications in the last 5 years
Deep convolutional neural network-based medical image classification for disease diagnosis Journal of Big Data 6 (1), 113 Soft-margin SVM incorporating feature selection using improved elitist GA for arrhythmia classification SM Jadhav International Conference on Intelligent Systems Design and Applications, 965-976 Machine Learning Algorithms for Disease Prediction Using IoT Environment International Journal of Engineering and Advanced Technology 8 (6), 4303-4307 Bagging based ensemble of support vector machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification International Journal of Hybrid Intelligent Systems 16 (1), 25-33 Comparative Analysis of Ensemble Classifier and Single Base Classifier in Medical Disease Diagnosis Lecture Notes in Networks and Systems 120, 475-489 Automated Cardiac Disease Diagnosis Using Support Vector Machine 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA) Application of Machine Learning for the Detection of Heart Disease 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) 2020
List of top 5 academic activities during the last 5 years
Deep convolutional neural network-based medical image classification for disease diagnosis Journal of Big Data 6 (1), 113 Soft-margin SVM incorporating feature selection using improved elitist GA for arrhythmia classification SM Jadhav International Conference on Intelligent Systems Design and Applications, 965-976 Machine Learning Algorithms for Disease Prediction Using IoT Environment International Journal of Engineering and Advanced Technology 8 (6), 4303-4307 Bagging based ensemble of support vector machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification International Journal of Hybrid Intelligent Systems 16 (1), 25-33 Comparative Analysis of Ensemble Classifier and Single Base Classifier in Medical Disease Diagnosis Lecture Notes in Networks and Systems 120, 475-489 Automated Cardiac Disease Diagnosis Using Support Vector Machine 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA) Application of Machine Learning for the Detection of Heart Disease 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) 2020