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Varad Deshmukh
Varad Deshmukh
Meta Platforms, Inc.
Bestätigte E-Mail-Adresse bei colorado.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Leveraging the mathematics of shape for solar magnetic eruption prediction
V Deshmukh, TE Berger, E Bradley, JD Meiss
Journal of Space Weather and Space Climate 10, 13, 2020
272020
Decreasing False-alarm Rates in CNN-based Solar Flare Prediction Using SDO/HMI Data
V Deshmukh, N Flyer, K Van Der Sande, T Berger
The Astrophysical Journal Supplement Series 260 (1), 9, 2022
152022
Using Curvature to Select the Time Lag for Delay Reconstruction
V Deshmukh, E Bradley, J Garland, JD Meiss
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (6), 12, 2020
122020
Comparing feature sets and machine-learning models for prediction of solar flares-Topology, physics, and model complexity
V Deshmukh, S Baskar, TE Berger, E Bradley, JD Meiss
Astronomy & Astrophysics 674, A159, 2023
8*2023
Towards automated extraction and characterization of scaling regions in dynamical systems
V Deshmukh, E Bradley, J Garland, JD Meiss
Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (12), 18, 2021
52021
A MODULAR, GENERIC, LOW-COST ON-BOARD COMPUTER SYSTEM FOR NANO/PICO SATELLITE APPLICATIONS
N Mhatre, M Karve, R Bedarkar, V Deshmukh
Education 2011, 2007
52007
Shape-based Feature Engineering for Solar Flare Prediction
V Deshmukh, T Berger, J Meiss, E Bradley
Innovative Applications of Artificial Intelligence 2021 35 (17), 15293--15300, 2020
42020
Using scaling-region distributions to select embedding parameters
V Deshmukh, R Meikle, E Bradley, JD Meiss, J Garland
Physica D: Nonlinear Phenomena 446, 133674, 2023
32023
Using Unsupervised Machine Learning to Explore New Classification of Sunspot Active Regions
SN Housseal, TE Berger, V Deshmukh
AGU Fall Meeting Abstracts 2019, NG31A-0834, 2019
12019
A computational topology-based spatiotemporal analysis technique for honeybee aggregation
G Gharooni-Fard, M Byers, V Deshmukh, E Bradley, C Mayo, CM Topaz, ...
npj Complexity 1 (1), 3, 2024
2024
Machine Learning (ML) Bloopers–What not to do when creating ML models
N Flyer, T Berger, K van der Sande, A Liu, V Deshmukh
AGU Fall Meeting Abstracts 2022, NG42A-02, 2022
2022
Feature Vectors and Hybrid Machine Learning Architectures for Solar Flare Prediction using Magnetogram Data
TE Berger, V Deshmukh, N Flyer, E Bradley, JD Meiss, K van der Sande
AGU Fall Meeting Abstracts 2022, SH22F-2058, 2022
2022
Self-attention networks for solar flare prediction using SDO/AIA EUV data and a novel AIA-based flare catalog
K Van Der Sande, N Flyer, V Deshmukh, T Berger
Third Triennial Earth-Sun Summit (TESS) 54 (7), 2022
2022
Solar flare prediction with reduced false positives using a hybrid CNN-ERT machine learning model
T Berger, N Flyer, V Deshmukh, K van der Sande
American Astronomical Society Meeting# 240 54 (6), 431.02, 2022
2022
A Persistent Homology Approach for Characterizing Honeybee Behavior during Food Exchange
E Bradley, V Deshmukh, GG Fard, C Topaz, O Peleg
2022 Spring Western Sectional Meeting, 2022
2022
Thank you to our 2021 peer reviewers
N Lugaz, BA Carter, JL Gannon, M Hapgood, H Liu, TP O’Brien, ...
Space Weather 20 (4), e2022SW003116, 2022
2022
Comparing Solar Flare Irradiance in GOES X-ray and SDO/AIA EUV Data via Machine Learning Regression
K van der Sande, N Flyer, V Deshmukh, T Berger
Proceedings of the 2nd Machine Learning in Heliophysics, 12, 2022
2022
Innovative Featurization and Modeling for Solar Flare Prediction
VR Deshmukh
University of Colorado at Boulder, 2022
2022
Novel Machine Learning Architectures for Short-term Solar Flare Prediction with Decreased False Positive Rates
T Berger, V Deshmukh, N Flyer, K van der Sande
AGU Fall Meeting Abstracts 2021, NG41A-02, 2021
2021
Classification of Solar Flare Magnitudes Using SDO/AIA Movies with 4D Convolutional Neural Networks
K van der Sande, T Berger, N Flyer, V Deshmukh
AGU Fall Meeting Abstracts 2021, NG45B-0571, 2021
2021
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