On using Compressed Sensing and peak detection method for the Dynamic Instability parameters estimation for Microtubules modeled in three states. - Shantia Yarahmadian; Vineetha Menon; Vahid Rezania (BIBM, 2015)

Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features. - Vineetha Menon; Saurabh Prasad; James E. Fowler (ICIP, 2015)

The use of compressive sensing and peak detection in the reconstruction of microtubules length time series in the process of dynamic instability. - Majid Mahrooghy; Shantia Yarahmadian; Vineetha Menon; Vahid Rezania; Jack A. Tuszynski (Comput. Biol. Medicine, 2015)

Hadamard-Walsh random projection for hyperspectral image classification. - Vineetha Menon; Qian Du 001; James E. Fowler (IGARSS, 2016)

Random-projection-based nonnegative least squares for hyperspectral image unmixing. - Vineetha Menon; Qian Du 001; James E. Fowler (WHISPERS, 2016)

Fast SVD With Random Hadamard Projection for Hyperspectral Dimensionality Reduction. - Vineetha Menon; Qian Du 001; James E. Fowler (IEEE Geosci. Remote. Sens. Lett., 2016)

Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery. - Jinhuan Wen; James E. Fowler; Mingyi He; Yong-Qiang Zhao 001; Chengzhi Deng; Vineetha Menon (IEEE Trans. Geosci. Remote. Sens., 2016)

Superresolution and EM based ML Kalman estimation of the stochastic microtubule signal modeled as three states random evolution. - Vineetha Menon; Shantia Yarahmadian; Vahid Rezania (BIBM, 2017)

Random Hadamard Projections for Hyperspectral Unmixing. - Vineetha Menon; Qian Du 001; James E. Fowler (IEEE Geosci. Remote. Sens. Lett., 2017)

Wavelet Based Compressed Sensing Sampling and Estimation of N-States Random Evolution Model Parameters in Microtubule Signal. - Vineetha Menon; Shantia Yarahmadian (BIBM, 2018)

Improved Random Projection with $K$-Means Clustering for Hyperspectral Image Classification. - Vineetha Menon; Qian Du 001; Sundar A. Christopher (IGARSS, 2018)

Randomized non negative matrix factorization for hyperspectral image classification. - Vineetha Menon; Qian Du 001 (WHISPERS, 2018)

Novel K-Means Clustering-based Undersampling and Feature Selection for Drug Discovery Applications. - Vishnu Sripriya Akondi; Vineetha Menon; Jérôme Baudry; Jana Whittle (BIBM, 2019)

Wavelet-Based Compression and Estimation of the $N$-State Stochastic Microtubule Signal. - Vineetha Menon; Shantia Yarahmadian (BIBM, 2019)

Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications. - Bishwas Praveen; Vineetha Menon (IEEE BigData, 2019)

Informed Trading Support for the Amateur Investoron the New York Stock Exchange. - T. Warren de Wit; Vineetha Menon (IEEE BigData, 2019)

Randomized Locality-Preserving Discriminant Analysis for Dimensionality Reduction and Hyperspectral Image Classification. - Vineetha Menon (IGARSS, 2019)

Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. - Bashir M. Sabquat Bahar Talukder; Vineetha Menon; Biswajit Ray; Tempestt J. Neal; Md. Tauhidur Rahman 001 (HOST, 2020)

Personalized Stress Monitoring AI System For Healthcare Workers. - Raina Ghanshyam Bangani; Vineetha Menon; Emil Jovanov (BIBM, 2021)

Study of Spatial-Spectral Feature Extraction Frameworks With 3-D Convolutional Neural Network for Robust Hyperspectral Imagery Classification. - Bishwas Praveen; Vineetha Menon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Wavelet-based Spectral Analysis For Protein Conformation Selection and Prediction Using AI in Drug Discovery Applications. - Shivangi Gupta; Vineetha Menon; Jérôme Baudry (BIBM, 2022)

Hyper-Vit: A Novel Light-Weighted Visual Transformer-Based Supervised Classification Framework For Hyperspectral Remote Sensing Applications. - Bishwas Praveen; Vineetha Menon (WHISPERS, 2022)

A Bidirectional Deep-Learning-Based Spectral Attention Mechanism for Hyperspectral Data Classification. - Bishwas Praveen; Vineetha Menon (Remote. Sens., 2022)

Dual-Branch-AttentionNet: A Novel Deep-Learning-Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis. - Bishwas Praveen; Vineetha Menon (Remote. Sens., 2022)

How Effectively Do We Communicate? An Analysis of Team Reflexivity in Transition and Action Phases of Team Collaboration. - Kristin Weger; Sheri Leder; Bryan Mesmer; Vineetha Menon; Harald Schaub (IEEE Trans. Prof. Commun., 2022)

Deep Reinforcement Learning Based Efficient and Robust Navigation Method For Autonomous Applications. - Nathan Hemming; Vineetha Menon (ICTAI, 2023)

AI Algorithmic Bias: Understanding its Causes, Ethical and Social Implications. - Lakshitha R. Jain; Vineetha Menon (ICTAI, 2023)

EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces. - T. Warren de Wit; Vineetha Menon; Nathan L. Tenhundfeld; Thomas Davis (ICTAI, 2023)