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Eduardo Rodrigues
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Eduardo M. G. Rodrigues
(aka: Eduardo Manuel Godinho Rodrigues, Eduardo Rodrigues 0001) — Instituto Superior Técnico, Lisbon, Portugal (and 1 more)
- Eduardo Rodrigues 0002 — Federal University of Pernambuco, Informatics Center, Voxar Labs, Recife, Brazil
- Eduardo Rodrigues Duarte Neto (aka: Eduardo Rodrigues 0003) — Federal University of Ceará, Fortaleza, CE, Brazil
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2020 – today
- 2024
- [j1]Abhijit Mathad, Martina Ferrillo, Sacha Barré, Patrick Koppenburg, Patrick Owen, Gerhard Raven, Eduardo Rodrigues, Nicola Serra:
FunTuple: A New N-tuple Component for Offline Data Processing at the LHCb Experiment. Comput. Softw. Big Sci. 8(1): 6 (2024) - 2022
- [c1]Henry Schreiner, Jim Pivarski, Eduardo Rodrigues:
Awkward Packaging: building Scikit-HEP. SciPy 2022: 115-120 - [i6]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson:
Wildfire risk forecast: An optimizable fire danger index. CoRR abs/2203.15558 (2022) - [i5]Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra:
Causal Modeling of Soil Processes for Improved Generalization. CoRR abs/2211.05675 (2022) - 2021
- [i4]Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. CoRR abs/2102.04534 (2021) - [i3]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold:
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR abs/2106.11111 (2021)
2010 – 2019
- 2018
- [i2]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano
, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte
, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert
, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas
, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong
, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- [i1]Eduardo Rodrigues, Ricardo Morla
:
Run Time Prediction for Big Data Iterative ML Algorithms: a KMeans case study. CoRR abs/1710.03040 (2017)
Coauthor Index
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last updated on 2024-04-25 05:46 CEST by the dblp team
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