Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Subhajit Chatterjee
Also published under:
Affiliation
Department of Computer Engineering, Jeju National University, Jeju, South Korea
Topic
Data Augmentation,Deep Learning,Deep Neural Network,Ensemble Model,Transfer Learning,Adam Optimizer,Affine Transformation,Balanced Data,Balanced Dataset,Basal Cell Carcinoma,Bottled Water,Classification Accuracy,Classification Performance,Classification Results,Confusion Matrix,Convolutional Neural Network,Convolutional Neural Network Model,Data Augmentation Methods,Depthwise Separable Convolution,Dermatology,Ensemble Method,F1 Score,Image Classification,Image Recognition,ImageNet Dataset,Imbalanced Data,Imbalanced Datasets,Inception V3 Model,Learning Models,Learning-based Models,Lesion Classification,Lesion Images,Low Computational Efficiency,Medical Image Analysis,Medical Imaging,Melanocytic Nevi,Multi-label,Output Layer,Plastic Bottles,Plastic Recycling,Plastic Waste,Pointwise Convolution,Single-use Plastic,Skin Cancer,Skin Lesions,South Korea,Stochastic Gradient Descent,Traditional Data,Training Set,Transfer Learning Model,
Biography
Subhajit Chatterjee received the B.C.A. degree in computer applications, in 2012, and the M.C.A. degree in computer application, in 2015. He is currently pursuing the Ph.D. degree with the Machine Learning Laboratory, Department of Computer Engineering, Jeju National University, South Korea. He worked related to information technology, software engineering, and customer relationship management in the banking sector for five years. His research interests include artificial intelligence, deep learning, convolutional neural networks, and image processing.