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2020 – today
- 2023
[c20]T. Warren de Wit, Vineetha Menon, Nathan L. Tenhundfeld, Thomas Davis:
EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces. ICTAI 2023: 122-128- [c19]Nathan Hemming, Vineetha Menon:
Deep Reinforcement Learning Based Efficient and Robust Navigation Method For Autonomous Applications. ICTAI 2023: 287-293 - [c18]Lakshitha R. Jain, Vineetha Menon:
AI Algorithmic Bias: Understanding its Causes, Ethical and Social Implications. ICTAI 2023: 460-467 - 2022
- [j8]Bishwas Praveen
, Vineetha Menon:
A Bidirectional Deep-Learning-Based Spectral Attention Mechanism for Hyperspectral Data Classification. Remote. Sens. 14(1): 217 (2022) - [j7]Bishwas Praveen, Vineetha Menon:
Dual-Branch-AttentionNet: A Novel Deep-Learning-Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis. Remote. Sens. 14(15): 3644 (2022) - [j6]Kristin Weger, Sheri Leder, Bryan Mesmer, Vineetha Menon, Harald Schaub:
How Effectively Do We Communicate? An Analysis of Team Reflexivity in Transition and Action Phases of Team Collaboration. IEEE Trans. Prof. Commun. 65(3): 392-410 (2022) - [c17]Shivangi Gupta, Vineetha Menon, Jérôme Baudry:
Wavelet-based Spectral Analysis For Protein Conformation Selection and Prediction Using AI in Drug Discovery Applications. BIBM 2022: 2595-2602 - [c16]Bishwas Praveen, Vineetha Menon:
Hyper-Vit: A Novel Light-Weighted Visual Transformer-Based Supervised Classification Framework For Hyperspectral Remote Sensing Applications. WHISPERS 2022: 1-5 - 2021
- [j5]Bishwas Praveen, Vineetha Menon:
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. 14: 1717-1727 (2021) - [c15]Raina Ghanshyam Bangani, Vineetha Menon, Emil Jovanov:
Personalized Stress Monitoring AI System For Healthcare Workers. BIBM 2021: 2992-2997 - 2020
- [c14]Bashir M. Sabquat Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt J. Neal, Md. Tauhidur Rahman:
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. HOST 2020: 111-121
2010 – 2019
- 2019
- [c13]Vineetha Menon, Shantia Yarahmadian:
Wavelet-Based Compression and Estimation of the $N$-State Stochastic Microtubule Signal. BIBM 2019: 852-858 - [c12]Vishnu Sripriya Akondi, Vineetha Menon, Jérôme Baudry, Jana Whittle:
Novel K-Means Clustering-based Undersampling and Feature Selection for Drug Discovery Applications. BIBM 2019: 2771-2778 - [c11]T. Warren de Wit, Vineetha Menon:
Informed Trading Support for the Amateur Investoron the New York Stock Exchange. IEEE BigData 2019: 2948-2955 - [c10]Bishwas Praveen, Vineetha Menon:
Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications. IEEE BigData 2019: 5444-5452 - [c9]Vineetha Menon:
Randomized Locality-Preserving Discriminant Analysis for Dimensionality Reduction and Hyperspectral Image Classification. IGARSS 2019: 3340-3343 - [i1]Bashir M. Sabquat Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt J. Neal, Md. Tauhidur Rahman:
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. CoRR abs/1911.03395 (2019) - 2018
- [c8]Vineetha Menon, Shantia Yarahmadian:
Wavelet Based Compressed Sensing Sampling and Estimation of N-States Random Evolution Model Parameters in Microtubule Signal. BIBM 2018: 2009-2016 - [c7]Vineetha Menon, Qian Du, Sundar A. Christopher:
Improved Random Projection with $K$-Means Clustering for Hyperspectral Image Classification. IGARSS 2018: 4768-4771 - [c6]Vineetha Menon, Qian Du:
Randomized non negative matrix factorization for hyperspectral image classification. WHISPERS 2018: 1-5 - 2017
- [j4]Vineetha Menon, Qian Du, James E. Fowler:
Random Hadamard Projections for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 14(3): 419-423 (2017) - [c5]Vineetha Menon, Shantia Yarahmadian, Vahid Rezania:
Superresolution and EM based ML Kalman estimation of the stochastic microtubule signal modeled as three states random evolution. BIBM 2017: 686-693 - 2016
- [j3]Vineetha Menon, Qian Du, James E. Fowler:
Fast SVD With Random Hadamard Projection for Hyperspectral Dimensionality Reduction. IEEE Geosci. Remote. Sens. Lett. 13(9): 1275-1279 (2016) - [j2]Jinhuan Wen, James E. Fowler, Mingyi He, Yong-Qiang Zhao, Chengzhi Deng, Vineetha Menon:
Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 54(7): 4272-4286 (2016) - [c4]Vineetha Menon, Qian Du, James E. Fowler:
Hadamard-Walsh random projection for hyperspectral image classification. IGARSS 2016: 5141-5144 - [c3]Vineetha Menon, Qian Du, James E. Fowler:
Random-projection-based nonnegative least squares for hyperspectral image unmixing. WHISPERS 2016: 1-5 - 2015
- [j1]Majid Mahrooghy, Shantia Yarahmadian, Vineetha Menon, Vahid Rezania, Jack A. Tuszynski:
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 65: 25-33 (2015) - [c2]Shantia Yarahmadian, Vineetha Menon, Vahid Rezania:
On using Compressed Sensing and peak detection method for the Dynamic Instability parameters estimation for Microtubules modeled in three states. BIBM 2015: 417-420 - [c1]Vineetha Menon, Saurabh Prasad, James E. Fowler:
Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features. ICIP 2015: 2100-2104
Coauthor Index
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