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Fernando Seabra Chirigati
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- affiliation: New York University Tandon School of Engineering, New York City, USA
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2020 – today
- 2024
- [j51]Fernando Chirigati:
Mining the chemical space for new antibiotics. Nat. Comput. Sci. 4(1): 4 (2024) - [j50]Fernando Chirigati:
Heat wave attribution assessment using deep learning. Nat. Comput. Sci. 4(9): 654 (2024) - 2023
- [j49]Fernando Chirigati:
Leveraging the power of crowds. Nat. Comput. Sci. 3(1): 2 (2023) - [j48]Fernando Chirigati:
Advancing the science of synthesis. Nat. Comput. Sci. 3(2): 116-117 (2023) - [j47]Fernando Chirigati:
A successful few drive urban scaling. Nat. Comput. Sci. 3(2): 118 (2023) - [j46]Fernando Chirigati:
Moving toward safer driverless vehicles. Nat. Comput. Sci. 3(4): 279 (2023) - [j45]Fernando Chirigati:
Experts go deeper. Nat. Comput. Sci. 3(6): 477 (2023) - [j44]Fernando Chirigati:
A language model for medical predictive tasks. Nat. Comput. Sci. 3(7): 576 (2023) - [j43]Fernando Chirigati:
Towards equitable education. Nat. Comput. Sci. 3(9): 729-730 (2023) - [j42]Fernando Chirigati:
Greener urban communities. Nat. Comput. Sci. 3(9): 731-732 (2023) - [j41]Fernando Chirigati:
From data to conservation laws. Nat. Comput. Sci. 3(9): 733 (2023) - [j40]Fernando Chirigati:
Alerting for imminent earthquakes. Nat. Comput. Sci. 3(10): 818 (2023) - [j39]Fernando Chirigati:
Memory and computation together at last. Nat. Comput. Sci. 3(11): 912 (2023) - [j38]Fernando Chirigati:
One algorithm to play them all. Nat. Comput. Sci. 3(12): 1005 (2023) - 2022
- [j37]Fernando Chirigati:
Machine learning to guide mathematicians. Nat. Comput. Sci. 2(1): 2 (2022) - [j36]Fernando Chirigati:
Crypto and technology for the people. Nat. Comput. Sci. 2(2): 62-63 (2022) - [j35]Fernando Chirigati:
Co-occurrence and similarity revisited. Nat. Comput. Sci. 2(2): 67 (2022) - [j34]Fernando Chirigati:
Cultural diversity through the lenses of ecology. Nat. Comput. Sci. 2(3): 137 (2022) - [j33]Fernando Chirigati:
A key player in high-performance computing. Nat. Comput. Sci. 2(4): 211-212 (2022) - [j32]Fernando Chirigati:
Gauging urban development with neural networks. Nat. Comput. Sci. 2(4): 216 (2022) - [j31]Fernando Chirigati:
Fighting hate speech and misinformation online. Nat. Comput. Sci. 2(5): 281-283 (2022) - [j30]Fernando Chirigati:
AI for resource-constrained medical fields. Nat. Comput. Sci. 2(5): 287 (2022) - [j29]Fernando Chirigati:
Effects of mutations on SARS-CoV-2 fitness. Nat. Comput. Sci. 2(7): 412 (2022) - [j28]Fernando Chirigati:
Bringing the pulsatile release system to light. Nat. Comput. Sci. 2(8): 467 (2022) - [j27]Fernando Chirigati:
The Universe's expansion in the eyes of computers. Nat. Comput. Sci. 2(9): 545-547 (2022) - [j26]Fernando Chirigati:
How to change harmful beliefs. Nat. Comput. Sci. 2(9): 553 (2022) - [j25]Fernando Chirigati:
Nowcasting food security. Nat. Comput. Sci. 2(10): 622 (2022) - [j24]Fernando Chirigati:
Computational models of social learning. Nat. Comput. Sci. 2(11): 697 (2022) - [d7]Rémi Rampin
, Fernando Chirigati
Auctus. Zenodo, 2022 - 2021
- [j23]Fernando Chirigati, Ananya Rastogi:
Connecting Black women in computational biology. Nat. Comput. Sci. 1(1): 11-13 (2021) - [j22]Fernando Chirigati:
Computationally designing synthesizable molecules. Nat. Comput. Sci. 1(1): 14 (2021) - [j21]Fernando Chirigati:
Predicting protein structure from cryo-EM data. Nat. Comput. Sci. 1(2): 96 (2021) - [j20]Fernando Chirigati:
Porting software without affecting scientific results. Nat. Comput. Sci. 1(3): 172 (2021) - [j19]Fernando Chirigati:
Inverse problem via a Bayesian approach. Nat. Comput. Sci. 1(5): 304 (2021) - [j18]Fernando Chirigati:
Accurate and efficient fluid flow analysis. Nat. Comput. Sci. 1(6): 386 (2021) - [j17]Fernando Chirigati:
Detection of war destruction from satellite images. Nat. Comput. Sci. 1(7): 454 (2021) - [j16]Fernando Chirigati:
Fluid dynamic behavior of deep-sea sponges. Nat. Comput. Sci. 1(8): 504 (2021) - [j15]Fernando Chirigati:
Eva to the rescue. Nat. Comput. Sci. 1(10): 633 (2021) - [j14]Fernando Chirigati:
Accurate short-term precipitation prediction. Nat. Comput. Sci. 1(11): 709 (2021) - [j13]Fernando Chirigati:
Learning to read. Nat. Comput. Sci. 1(12): 774 (2021) - [j12]Sonia Castelo
Auctus: A Dataset Search Engine for Data Discovery and Augmentation. Proc. VLDB Endow. 14(12): 2791-2794 (2021) - [c18]Aécio S. R. Santos
Correlation Sketches for Approximate Join-Correlation Queries. SIGMOD Conference 2021: 1531-1544 - [c17]Sonia Castelo, Rémi Rampin, Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Juliana Freire:
Auctus: A Search Engine for Data Discovery and Augmentation. SEA-Data@VLDB 2021: 44-45 - [d6]Rémi Rampin
Auctus. Zenodo, 2021 - [i8]Fernando Chirigati, Rémi Rampin
Auctus: A Dataset Search Engine for Data Augmentation. CoRR abs/2102.05716 (2021) - [i7]Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. CoRR abs/2104.03353 (2021) - 2020
- [d5]Rémi Rampin
Auctus. Zenodo, 2020 - [d4]Rémi Rampin
Auctus. Zenodo, 2020 - [d3]Rémi Rampin
Auctus. Zenodo, 2020
2010 – 2019
- 2019
- [c16]Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella M. Moro
Understanding Spatio-Temporal Urban Processes. IEEE BigData 2019: 563-572 - [c15]Brian Hoffman, Fernando Chirigati, Rémi Rampin, Vicky Steeves, Katherine Boss:
Saving Data Journalism. iPRES 2019 - [d2]Rémi Rampin
Auctus. Zenodo, 2019 - [d1]Rémi Rampin
Auctus. Zenodo, 2019 - 2018
- [j11]Juliana Freire, Fernando Seabra Chirigati:
Provenance and the Different Flavors of Reproducibility. IEEE Data Eng. Bull. 41(1): 15-26 (2018) - [r1]Fernando Chirigati, Juliana Freire:
Provenance and Reproducibility. Encyclopedia of Database Systems (2nd ed.) 2018 - [i6]Rémi Rampin, Fernando Chirigati, Vicky Steeves
ReproServer: Making Reproducibility Easier and Less Intensive. CoRR abs/1808.01406 (2018) - 2017
- [j10]Juan J. Lastra-Díaz
HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset. Inf. Syst. 66: 97-118 (2017) - [c14]Yeuk-Yin Chan
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets. SIGMOD Conference 2017: 1643-1646 - [i5]Andreas Wolke, Martin Bichler, Fernando Chirigati, Victoria Steeves
Reproducible experiments on dynamic resource allocation in cloud data centers. CoRR abs/1703.00042 (2017) - [i4]Fernando Chirigati, Rebecca Capone, Dennis E. Shasha, Rémi Rampin, Juliana Freire:
A Collaborative Approach to Computational Reproducibility. CoRR abs/1709.01154 (2017) - 2016
- [j9]Juliana Freire, Aline Bessa, Fernando Chirigati, Huy T. Vo, Kai Zhao:
Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips. IEEE Data Eng. Bull. 39(2): 63-77 (2016) - [j8]Fernando Chirigati, Rebecca Capone, Rémi Rampin
A collaborative approach to computational reproducibility. Inf. Syst. 59: 95-97 (2016) - [j7]Andreas Wolke, Martin Bichler, Fernando Chirigati, Victoria Steeves
Reproducible experiments on dynamic resource allocation in cloud data centers. Inf. Syst. 59: 98-101 (2016) - [j6]Rémi Rampin
ReproZip: The Reproducibility Packer. J. Open Source Softw. 1(8): 107 (2016) - [j5]Fernando Chirigati, Jialu Liu, Flip Korn, You Wu, Cong Yu, Hao Zhang:
Knowledge Exploration using Tables on the Web. Proc. VLDB Endow. 10(3): 193-204 (2016) - [c13]Fernando Chirigati, Jérôme Siméon, Martin Hirzel, Juliana Freire
Virtual lightweight snapshots for consistent analytics in NoSQL stores. ICDE 2016: 1310-1321 - [c12]Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas, Juliana Freire
Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. SIGMOD Conference 2016: 1011-1025 - [c11]Fernando Chirigati, Rémi Rampin
ReproZip: Computational Reproducibility With Ease. SIGMOD Conference 2016: 2085-2088 - [i3]Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas, Juliana Freire:
Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. CoRR abs/1610.06978 (2016) - 2015
- [i2]Timothy M. McPhillips, Tianhong Song, Tyler Kolisnik, Steve Aulenbach, Khalid Belhajjame, R. Kyle Bocinsky, Yang Cao, Fernando Chirigati, Saumen C. Dey, Juliana Freire, Deborah N. Huntzinger, Christopher Jones, David Koop, Paolo Missier, Mark Schildhauer, Christopher R. Schwalm, Yaxing Wei, James Cheney
YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts. CoRR abs/1502.02403 (2015) - 2014
- [j4]Víctor Cuevas-Vicenttín
The PBase Scientific Workflow Provenance Repository. Int. J. Digit. Curation 9(2): 28-38 (2014) - [j3]Manuel Then, Moritz Kaufmann, Fernando Chirigati, Tuan-Anh Hoang-Vu, Kien Pham, Alfons Kemper, Thomas Neumann, Huy T. Vo:
The More the Merrier: Efficient Multi-Source Graph Traversal. Proc. VLDB Endow. 8(4): 449-460 (2014) - [c10]Leonardo Murta, Vanessa Braganholo, Fernando Chirigati, David Koop, Juliana Freire
noWorkflow: Capturing and Analyzing Provenance of Scripts. IPAW 2014: 71-83 - [c9]Víctor Cuevas-Vicenttín
Provenance Storage, Querying, and Visualization in PBase. IPAW 2014: 239-241 - [i1]Michele Dolfi, Jan Gukelberger, Andreas Hehn, J. Imriska, K. Pakrouski, Troels F. Rønnow, Matthias Troyer, I. N. Zintchenko, Fernando Seabra Chirigati, Juliana Freire, Dennis E. Shasha:
A model project for reproducible papers: critical temperature for the Ising model on a square lattice. CoRR abs/1401.2000 (2014) - 2013
- [j2]Eduardo S. Ogasawara
Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. 25(16): 2327-2341 (2013) - [j1]Fernando Seabra Chirigati, Matthias Troyer, Dennis E. Shasha, Juliana Freire:
A Computational Reproducibility Benchmark. IEEE Data Eng. Bull. 36(4): 54-59 (2013) - [c8]Fernando Seabra Chirigati, Juliana Freire
VisTrails provenance traces for benchmarking. EDBT/ICDT Workshops 2013: 323-324 - [c7]Fernando Seabra Chirigati, Dennis E. Shasha, Juliana Freire
Packing experiments for sharing and publication. SIGMOD Conference 2013: 977-980 - [c6]Fernando Seabra Chirigati, Dennis E. Shasha, Juliana Freire:
ReproZip: Using Provenance to Support Computational Reproducibility. TaPP 2013 - 2012
- [c5]Fernando Seabra Chirigati, Juliana Freire
Towards Integrating Workflow and Database Provenance. IPAW 2012: 11-23 - [c4]Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara
Evaluating parameter sweep workflows in high performance computing. SWEET@SIGMOD 2012: 2 - 2010
- [c3]Daniel de Oliveira, Eduardo S. Ogasawara
GExpLine: A Tool for Supporting Experiment Composition. IPAW 2010: 251-259
2000 – 2009
- 2009
- [c2]Eduardo S. Ogasawara
Exploring many task computing in scientific workflows. SC-MTAGS 2009 - 2008
- [c1]Sérgio Manuel Serra da Cruz, Fernando Seabra Chirigati, Rafael Dahis, Maria Luiza Machado Campos, Marta Mattoso
Using Explicit Control Processes in Distributed Workflows to Gather Provenance. IPAW 2008: 186-199
Coauthor Index
aka: Aécio Solano Rodrigues Santos
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