Vimal K. Shrivastava

25 papers Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network. Intell. Data Anal. Somenath Bera, Naushad Varish, Syed Irfan Yaqoob, Mudassir Rafi, Vimal K. Shrivastava
2025	J	`jnl`	Enhancing Melanoma Detection With Anisotropic Median Filtering and Multinomial Classification Vision Transformer. Int. J. Imaging Syst. Technol. R. Naga Swetha, Vimal K. Shrivastava
2025	J	`jnl`	Improved performance on melanoma skin cancer classification using deep learning based ensemble technique. Intell. Data Anal. R. Naga Swetha, Vimal K. Shrivastava, Mohammad Farukh Hashmi
2025	J	`jnl`	Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning. IEEE Access Ayan Mondal, Vimal K. Shrivastava, Ayan Chatterjee, Raghavendra Ramachandra
2023	J	`jnl`	A fine tuning approach using modified DenseNet model for skin cancer classification. Int. J. Medical Eng. Informatics Ayan Mondal, Vimal K. Shrivastava
2023	J	`jnl`	Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model. Evol. Intell. Dawit Kiros Redie, Abdulhakim Edao Sirko, Tensaie Melkamu Demissie, Semagn Sisay Teferi, Vimal K. Shrivastava, Om Prakash Verma, Tarun Kumar Sharma
2023	J	`jnl`	Improved performance on tomato pest classification via transfer learning-based deep convolutional neural network with regularisation techniques. Int. J. Comput. Sci. Eng. Gayatri Pattnaik, Vimal K. Shrivastava, K. Parvathi
2022	J	`jnl`	A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification. Comput. Biol. Medicine Ayan Mondal, Vimal K. Shrivastava
2022	J	`jnl`	Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks. Intell. Decis. Technol. Vimal K. Shrivastava, Monoj K. Pradhan
2021	J	`jnl`	Tomato pest classification using deep convolutional neural network with transfer learning, fine tuning and scratch learning. Intell. Decis. Technol. Gayatri Pattnaik, Vimal K. Shrivastava, K. Parvathi
2020	J	`jnl`	Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images. IET Image Process. Somenath Bera, Vimal K. Shrivastava
2020	J	`jnl`	Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. Comput. Biol. Chem. Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane
2020	J	`jnl`	Transfer Learning-Based Framework for Classification of Pest in Tomato Plants. Appl. Artif. Intell. Gayatri Pattnaik, Vimal K. Shrivastava, K. Parvathi
2019	J	`jnl`	Fast active learning for hyperspectral image classification using extreme learning machine. IET Image Process. Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
2018	—	`conf`	Fisher discriminant ratio based multiview active learning for the classification of remote sensing images. RAIT Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
2017	J	`jnl`	A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. Comput. Methods Programs Biomed. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2017	J	`jnl`	Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. Comput. Biol. Medicine Tadashi Araki, Pankaj Kumar Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Vimal K. Shrivastava, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Gupta, Jasjit S. Suri
2016	J	`jnl`	A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. Comput. Methods Programs Biomed. Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016	J	`jnl`	A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm. Biomed. Signal Process. Control. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2016	J	`jnl`	Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind. Comput. Methods Programs Biomed. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2016	J	`jnl`	PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology. Comput. Methods Programs Biomed. Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj Kumar Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016	J	`jnl`	Reliability analysis of psoriasis decision support system in principal component analysis framework. Data Knowl. Eng. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2015	J	`jnl`	Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm. Comput. Biol. Medicine Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2015	J	`jnl`	First review on psoriasis severity risk stratification: An engineering perspective. Comput. Biol. Medicine Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2015	J	`jnl`	Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. Expert Syst. Appl. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri