Marta Mattoso

Marta Mattoso

Universidade Federal do Rio de Janeiro

H-index: 39

Latin America-Brazil

About Marta Mattoso

Marta Mattoso, With an exceptional h-index of 39 and a recent h-index of 21 (since 2020), a distinguished researcher at Universidade Federal do Rio de Janeiro, specializes in the field of Database systems, eScience, workflows, provenance, data parallelism.

His recent articles reflect a diverse array of research interests and contributions to the field:

ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows

Integrador de metadados modular para aprendizado de máquina com visualização em tempo de execução

Deep learning provenance data integration: a practical approach

Data Aggregator for Physics Informed Neural Networks in NVIDIA Modulus Framework

ProvLight: Efficient workflow provenance capture on the edge-to-cloud continuum

PINNProv: Provenance for Physics-Informed Neural Networks

Life Science Workflow Services (LifeSWS): motivations and architecture

Dados de proveniencia para redes neurais guiadas pela fisica: o caso da equacao eikonal

Marta Mattoso Information

University

Position

Professor of Computer Science COPPE

Citations(all)

6455

Citations(since 2020)

1708

Cited By

5365

hIndex(all)

39

hIndex(since 2020)

21

i10Index(all)

161

i10Index(since 2020)

41

Email

University Profile Page

Universidade Federal do Rio de Janeiro

Google Scholar

View Google Scholar Profile

Marta Mattoso Skills & Research Interests

Database systems

eScience

workflows

provenance

data parallelism

Top articles of Marta Mattoso

Title

Journal

Author(s)

Publication Date

ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows

arXiv preprint arXiv:2403.15324

Liliane Kunstmann

Débora Pina

Daniel de Oliveira

Marta Mattoso

2024/3/22

Integrador de metadados modular para aprendizado de máquina com visualização em tempo de execução

Filipe Silva

Marta Mattoso

2023/9/25

Deep learning provenance data integration: a practical approach

Débora Pina

Adriane Chapman

Daniel De Oliveira

Marta Mattoso

2023/4/30

Data Aggregator for Physics Informed Neural Networks in NVIDIA Modulus Framework

Associação Brasileira de Métodos Computacionais em Engenharia

Matheus Scramignon

Alvaro LGA Coutinho

Marta Mattoso

2023

ProvLight: Efficient workflow provenance capture on the edge-to-cloud continuum

Daniel Rosendo

Marta Mattoso

Alexandru Costan

Renan Souza

Débora Pina

...

2023/10/31

PINNProv: Provenance for Physics-Informed Neural Networks

Lyncoln S de Oliveira

Liliane Kunstmann

Débora Pina

Daniel de Oliveira

Marta Mattoso

2023/10/17

Life Science Workflow Services (LifeSWS): motivations and architecture

Reza Akbarinia

Christophe Botella

Alexis Joly

Florent Masseglia

Marta Mattoso

...

2023/9/28

Dados de proveniencia para redes neurais guiadas pela fisica: o caso da equacao eikonal

Lyncoln S de Oliveira

Rômulo M Silva

Liliane Kunstmann

Débora Pina

Daniel de Oliveira

...

2022/9/19

Latency and energy-awareness in data stream processing for edge based iot systems

Journal of Grid Computing

Egberto Oliveira

Atslands R da Rocha

Marta Mattoso

Flavia C Delicato

2022/9

Workflow provenance in the lifecycle of scientific machine learning

Concurrency Computation Practice and Experience

Renan Souza

Leonardo G. Azevedo

Vítor N. Lourenço

Elton Soares

Raphael Thiago

...

2021/8/22

A horizontal partitioning‐based method for frequent pattern mining in transport timetable

Expert Systems

Claudio Teixeira

Luana Fragoso

Marta Mattoso

Diego Carvalho

Eduardo Bezerra

...

2022/2

Capturing provenance from deep learning applications using Keras-Prov and Colab: a practical approach

Journal of Information and Data Management

Débora Pina

Liliane Kunstmann

Felipe Bevilaqua

Isabela Siqueira

Alan Lyra

...

2022/12/19

ProvDeploy: Explorando Alternativas de Conteinerização com Proveniência para Aplicações Científicas com PAD

Liliane Kunstmann

Débora Pina

Lyncoln S de Oliveira

Daniel de Oliveira

Marta Mattoso

2022/10/19

Capturing provenance to improve the model training of pinns: first hand-on experiences with grid5000

42nd CILAMCE

Rômulo M Silva

Débora Pina

Liliane Kunstmann

Daniel de Oliveira

Patrick Valduriez

...

2021/11/9

Distributed in-memory data management for workflow executions

PeerJ Computer Science

Renan Souza

Vitor Silva

Alexandre AB Lima

Daniel de Oliveira

Patrick Valduriez

...

2021/5/7

BioProv-A provenance library for bioinformatics workflows

Journal of Open Source Software

Vinícius W Salazar

João Vitor Ferreira Cavalcante

Daniel de Oliveira

Fabiano Thompson

Marta Mattoso

2021/11/9

Workflows community summit: Bringing the scientific workflows community together

arXiv preprint arXiv:2103.09181

Rafael Ferreira da Silva

Henri Casanova

Kyle Chard

Dan Laney

Dong Ahn

...

2021/3/16

User Steering Support in Large-scale Workflows

Renan Souza

Marta Mattoso

Patrick Valduriez

2021/10/4

A Real-time and Energy-aware Framework for Data Stream Processing in the Internet of Things.

Egberto AR de Oliveira

Flávia Coimbra Delicato

Atslands Rego da Rocha

Marta Mattoso

2021

Captura automática de dados de proveniência de experimentos de aprendizado de máquina com keras-prov

Débora Pina

Liliane Neves

Daniel de Oliveira

Marta Mattoso

2021/10/4

See List of Professors in Marta Mattoso University(Universidade Federal do Rio de Janeiro)

Co-Authors

H-index: 141
Ian T. Foster

Ian T. Foster

University of Chicago

H-index: 38
Paulo F. Pires

Paulo F. Pires

Universidade Federal Fluminense

H-index: 32
Leonardo Gresta Paulino Murta

Leonardo Gresta Paulino Murta

Universidade Federal Fluminense

H-index: 31
Daniel de Oliveira

Daniel de Oliveira

Universidade Federal Fluminense

H-index: 28
Fernanda Baiao

Fernanda Baiao

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 26
Sérgio Manuel Serra da Cruz

Sérgio Manuel Serra da Cruz

Universidade Federal Rural do Rio de Janeiro

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