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Pavan Ramkumar
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2020 – today
- 2022
- [j7]Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato, G. Sean Escola:
Hierarchical confounder discovery in the experiment-machine learning cycle. Patterns 3(4): 100451 (2022) - [j6]Pavan Ramkumar, Saul Kato, G. Sean Escola:
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar. Patterns 3(4): 100490 (2022) - 2020
- [j5]Mainak Jas
, Titipat Achakulvisut
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020)
2010 – 2019
- 2018
- [j4]Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury
Modern Machine Learning as a Benchmark for Fitting Neural Responses. Frontiers Comput. Neurosci. 12: 56 (2018) - 2016
- [j3]Pavan Ramkumar
Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study. NeuroImage 134: 295-304 (2016) - 2014
- [j2]Pavan Ramkumar
Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data. NeuroImage 86: 480-491 (2014) - 2012
- [b1]Pavan Ramkumar:
Advances in modeling and characterization of human neuromagnetic oscillations. Aalto University, Helsinki, Finland, 2012 - 2011
- [c1]Pavan Ramkumar
How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study. MLINI 2011: 93-100 - 2010
- [j1]Aapo Hyvärinen
Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. NeuroImage 49(1): 257-271 (2010)
Coauthor Index
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last updated on 2024-05-03 19:55 CEST by the dblp team
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