Vineetha Menon
Orcid: 0000-0001-6916-5346
According to our database1,
Vineetha Menon
authored at least 28 papers
between 2015 and 2023.
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Bibliography
2023
EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Deep Reinforcement Learning Based Efficient and Robust Navigation Method For Autonomous Applications.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
2022
How Effectively Do We Communicate? An Analysis of Team Reflexivity in Transition and Action Phases of Team Collaboration.
IEEE Trans. Prof. Commun., 2022
Dual-Branch-AttentionNet: A Novel Deep-Learning-Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis.
Remote. Sens., 2022
A Bidirectional Deep-Learning-Based Spectral Attention Mechanism for Hyperspectral Data Classification.
Remote. Sens., 2022
Hyper-Vit: A Novel Light-Weighted Visual Transformer-Based Supervised Classification Framework For Hyperspectral Remote Sensing Applications.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022
Wavelet-based Spectral Analysis For Protein Conformation Selection and Prediction Using AI in Drug Discovery Applications.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Study of Spatial-Spectral Feature Extraction Frameworks With 3-D Convolutional Neural Network for Robust Hyperspectral Imagery Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020
2019
Randomized Locality-Preserving Discriminant Analysis for Dimensionality Reduction and Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Wavelet-Based Compression and Estimation of the $N$-State Stochastic Microtubule Signal.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Novel K-Means Clustering-based Undersampling and Feature Selection for Drug Discovery Applications.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Improved Random Projection with $K$-Means Clustering for Hyperspectral Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Wavelet Based Compressed Sensing Sampling and Estimation of N-States Random Evolution Model Parameters in Microtubule Signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
IEEE Geosci. Remote. Sens. Lett., 2017
Superresolution and EM based ML Kalman estimation of the stochastic microtubule signal modeled as three states random evolution.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2016
IEEE Geosci. Remote. Sens. Lett., 2016
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
The use of compressive sensing and peak detection in the reconstruction of microtubules length time series in the process of dynamic instability.
Comput. Biol. Medicine, 2015
Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
On using Compressed Sensing and peak detection method for the Dynamic Instability parameters estimation for Microtubules modeled in three states.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015