Effect of Dimensionality Reduction on Sparsity Based Hyperspectral Unmixing. - M. Swarna; V. Sowmya 001; K. P. Soman (SoCPaR, 2016)

Least square based image deblurring. - Shimil Jose; Neethu Mohan; V. Sowmya 001; K. P. Soman (ICACCI, 2017)

Hyperspectral image denoising: A least square approach using wavelet filters. - S. Dev Vishnu; Sachin Rajan; V. Sowmya 001; K. P. Soman (ICACCI, 2017)

Improved color scene classification system using deep belief networks and support vector machines. - V. Sowmya 001; Aleena Ajay; D. Govind 001; K. P. Soman (ICSIPA, 2017)

Significance of contrast and structure features for an improved color image classification system. - V. Sowmya 001; D. Govind 001; K. P. Soman (ICSIPA, 2017)

Dependency of Various Color and Intensity Planes on CNN Based Image Classification. - Sachin Rajan; V. Sowmya 001; D. Govind 001; K. P. Soman (SIRS, 2017)

Exploring the significance of using perceptually relevant image decolorization method for scene classification. - V. Sowmya 001; D. Govind 001; K. P. Soman (CoRR, 2017)

Significance of perceptually relevant image decolorization for scene classification. - Sowmya Vishvanathan 001; Govind Divakaran; Kutti Padanyl Soman (J. Electronic Imaging, 2017)

Application of M-band wavelet in pan-sharpening. - V. Vishnu Pradeep; V. Sowmya 001; K. P. Soman (J. Intell. Fuzzy Syst., 2017)

Significance of incorporating chrominance information for effective color-to-grayscale image conversion. - V. Sowmya 001; D. Govind 001; K. P. Soman (Signal Image Video Process., 2017)

Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification. - Chippy Jayaprakash; Bharath Bhushan Damodaran; V. Sowmya 001; K. P. Soman (CoRR, 2018)

Multi-sensor data fusion using NIHS transform and decomposition algorithms. - V. Ankarao; V. Sowmya 001; K. P. Soman (Multim. Tools Appl., 2018)

Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms. - M. Swarna; V. Sowmya 001; K. P. Soman (Signal Image Video Process., 2018)

Land Cover Satellite Image Classification Using NDVI and SimpleCNN. - T. Tulasi Sasidhar; Sreelakshmi K; Vyshnav M. T; V. Sowmya 001; Soman K. P. (ICCCNT, 2019)

Effect of denoising on hyperspectral image classification using deep networks and kernel methods. - Naveen Varghese Jacob; V. Sowmya 001; K. P. Soman (J. Intell. Fuzzy Syst., 2019)

Deep rectified system for high-speed tracking in images. - Vysakh S. Mohan; R. Vinayakumar; V. Sowmya 001; K. P. Soman (J. Intell. Fuzzy Syst., 2019)

Scene Classification Using Transfer Learning. - Nikhil Damodaran; V. Sowmya 001; D. Govind 001; K. P. Soman (Recent Advances in Computer Vision, 2019)

Hyperspectral Image: Fundamentals and Advances. - V. Sowmya 001; K. P. Soman; M. Hassaballah 001 (Recent Advances in Computer Vision, 2019)

Digital Forensics for Drones: A Study of Tools and Techniques. - Sowmya Vishvanathan 001; Zubair A. Baig (ATIS, 2020)

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification. - Sanjana K.; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman (FICTA (1), 2020)

Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification. - Krishnendu C. S.; V. Sowmya 001; K. P. Soman (FICTA (1), 2020)

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. - Ramji Balasubramanian; V. Sowmya 001; E. A. Gopalakrishnan; Vijay Krishna Menon; V. V. Sajith Variyar; K. P. Soman (ICCCNT, 2020)

Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids. - Isha Indhu S; Kavya S. Kumar; U. Vamsi Krishna; Neethu Mohan; V. Sowmya 001; K. P. Soman (ICCCNT, 2020)

Deep Learning Based Approach for Multiple Myeloma Detection. - M. T. Vyshnav; V. Sowmya 001; E. A. Gopalakrishnan; V. V. Sajith Variyar; Vijay Krishna Menon; K. P. Soman (ICCCNT, 2020)

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network. - Sriram S; Vinayakumar R.; V. Sowmya 001; Mamoun Alazab; K. P. Soman (INFOCOM Workshops, 2020)

Significance of processing chrominance information for scene classification: a review. - Sowmya Vishvanathan 001; D. Govind 001; K. P. Soman (Artif. Intell. Rev., 2020)

Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm. - Ganesh Kumar M; Soman K. P; Gopalakrishnan E. A; Vijay Krishna Menon; V. Sowmya 001 (CoRR, 2020)

Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning. - N. S. Kamal; Barathi Ganesh H. B.; V. V. Sajith Variyar; V. Sowmya 001; K. P. Soman (FICTA (1), 2021)

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection. - Yamini Madan; Iswarya Kannoth Veetil; Sowmya Vishvanathan 001; Gopalakrishnan E. A; Soman K. P (FICTA (2), 2021)

Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram. - R. Sai Kesav; M. Bhanu Prakash; Krishanth Kumar; V. Sowmya 001; K. P. Soman (ICACDS (1), 2021)

Robust Malware Detection using Residual Attention Network. - Shamika Ganesan; Vinayakumar Ravi; Moez Krichen; V. Sowmya 001; Roobaea Alroobaea; Soman K. P. (ICCE, 2021)

Geometry Based Machining Feature Retrieval with Inductive Transfer Learning. - N. S. Kamal; Barathi Ganesh HB; Sajith Variyar VV; V. Sowmya 001; Soman K. P. (CoRR, 2021)

Enhanced Object Detection in Floor-plan through Super Resolution. - Dev Khare; N. S. Kamal; Barathi Ganesh HB; V. Sowmya 001; V. V. Sajith Variyar (CoRR, 2021)

A two-stage deep learning framework for image-based android malware detection and variant classification. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001; Tuan D. Pham (Comput. Intell., 2022)

EfficientNet convolutional neural networks-based Android malware detection. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001; Tuan D. Pham (Comput. Secur., 2022)

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. - Mredulraj S. Pandianchery; Gopalakrishnan E. A; V. Sowmya 001; Vinayakumar Ravi; Soman K. P (CoRR, 2022)

Odonata identification using Customized Convolutional Neural Networks. - Hari Theivaprakasham; S. Darshana; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman (Expert Syst. Appl., 2022)

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. - Ganesh Kumar M; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P; Chinmay Chakraborty (Multim. Tools Appl., 2022)

Initial Stage Identification of COVID-19 Using Capsule Networks. - Shamika Ganesan; R. Anand; V. Sowmya 001; K. P. Soman (Smart Computer Vision, 2023)

Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features. - Krishnendu C. S.; V. Sowmya 001; K. P. Soman (Smart Computer Vision, 2023)

Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis Using Channel Attention Deep CNN Architectures. - CR Asswin; J. Arun Prakash; K. S. Dharshan Kumar; Avinash Dora; V. Sowmya 001; Meshari Almeshari; Yasser Alzamil (MIKE, 2023)

Learning and Adaptation From Minimum Samples With Heterogeneous Quality: An Investigation of Image Segmentation Networks on Natural Dataset. - V. V. Sajith Variyar; V. Sowmya 001; Ramesh Sivanpillai; Gregory K. Brown (IEEE Access, 2023)

Learning (With) Distributed Optimization. - Aadharsh Aadhithya A; Abinesh S; Akshaya J; Jayanth M; Vishnu Radhakrishnan; Sowmya Vishvanathan 001; Soman K. P (CoRR, 2023)

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. - Paleti Nikhil Chowdary; Sathvika P; Pranav U; Rohan S; V. Sowmya 001; E. A. Gopalakrishnan; Dhanya M (CoRR, 2023)

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. - J. Arun Prakash; CR Asswin; K. S. Dharshan Kumar; Avinash Dora; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; Soman K. P. (Eng. Appl. Artif. Intell., 2023)

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures. - J. Arun Prakash; CR Asswin; Vinayakumar Ravi; V. Sowmya 001; K. P. Soman (Multim. Tools Appl., 2023)

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P (IEEE Trans. Engineering Management, 2023)

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images. - Pooja Yadav; Neeraj Menon; Vinayakumar Ravi; Sowmya Vishvanathan 001 (IEEE Trans. Engineering Management, 2023)

AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition. - Sudhesh K. M.; V. Sowmya 001; Sainamole Kurian P.; O. K. Sikha 001 (Eng. Appl. Artif. Intell., 2023)

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images. - J. Arun Prakash; Vinayakumar Ravi; V. Sowmya 001; K. P. Soman (Neural Comput. Appl., 2023)

Two-stage deep learning model for automate detection and classification of lung diseases. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman; M. Rupeshkumar (Soft Comput., 2023)

Appearance-Trajectory Network for Video Anomaly Detection System. - K. Ram Prasath; V. Sowmya 001; K. Deepak; B. Premjith; G. Jyothish Lal (ICCCNT, 2024)

Automated Crack Analysis and Reporting in Civil Infrastructure using Generative AI. - Sanjay Kumar K. J; K. L. Amritha Nandini; S. P. Saran Dharshan; Sowmya Vishvanathan 001; Tharindu Bandaragoda (IECON, 2024)

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems. - S. Akshay 003; E. A. Gopalakrishnan; Sowmya Vishvanathan 001; J. Venkatramani; Dheeraj Tripathi; Jay Shankar Prasad; Sirshendu Mondal (IEEE Access, 2024)

A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. - K. Deepa Raj; G. Jyothish Lal; E. A. Gopalakrishnan; V. Sowmya 001; Juan Rafael Orozco-Arroyave (IEEE Access, 2024)

Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AI. - Jayanth M; Arrun Sivasubramanian; V. Sowmya 001; Vinayakumar Ravi (CoRR, 2024)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification. - Arrun Sivasubramanian; Divya Sasidharan; V. Sowmya 001; Vinayakumar Ravi (CoRR, 2024)

An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. - Iswarya Kannoth Veetil; Divi Eswar Chowdary; Paleti Nikhil Chowdary; V. Sowmya 001; E. A. Gopalakrishnan (Digit. Signal Process., 2024)

Robust language independent voice data driven Parkinson's disease detection. - Iswarya Kannoth Veetil; V. Sowmya 001; Juan Rafael Orozco-Arroyave; E. A. Gopalakrishnan (Eng. Appl. Artif. Intell., 2024)

A multi-branch dual attention segmentation network for epiphyte drone images. - V. V. Sajith Variyar; V. Sowmya 001; Ramesh Sivanpillai; Gregory K. Brown (Image Vis. Comput., 2024)

Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease. - Srividhya L; V. Sowmya 001; Vinaykumar Ravi; Gopalakrishnan E. A; Soman K. P (Multim. Tools Appl., 2024)

Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India. - Mredulraj S. Pandianchery; V. Sowmya 001; E. A. Gopalakrishnan; Vinayakumar Ravi; K. P. Soman (IEEE Trans. Comput. Soc. Syst., 2024)

Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AI. - Jayanth Mohan; Arrun Sivasubramanian; V. Sowmya 001; Vinayakumar Ravi (Comput. Biol. Medicine, 2025)

An Indian database for grading wound healing and cross-corpus classification using perturbation-based Explainable AI models. - Naveen Varghese Jacob; V. Sowmya 001; Gopalakrishnan E. A; Riju Ramachandran; Anoop Vasudevan Pillai (Comput. Methods Programs Biomed., 2025)