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Rodrigo Fernandes de Mello

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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

He is currently an Associate Professor at the Institute of Mathematics and Computer Sciences, Department of Computer Science, University of São Paulo, São Carlos, Brazil. He completed his PhD degree from University of São Paulo, São Carlos in 2003. His research interests include Machine Learning, Applications in Dynamical Systems concepts, Time Series Analysis and Data Streams. (Source: Lattes Curriculum)

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FAPESP support in numbers * Updated February 22, 2020
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Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

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Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (24)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Publications24
Citations122
Cit./Article5.1
Data from Web of Science

RIOS, RICARDO ARAUJO; DE MELLO, RODRIGO FERNANDES. Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Processing, v. 93, n. 11, p. 3001-3013, . Web of Science Citations: 12. (09/18293-9, 11/02655-9)

PEREIRA, CASSIO M. M.; DE MELLO, RODRIGO F.. Persistent homology for time series and spatial data clustering. EXPERT SYSTEMS WITH APPLICATIONS, v. 42, n. 15-16, p. 6026-6038, . Web of Science Citations: 11. (14/13323-5, 13/04453-0)

RIOS, RICARDO ARAUJO; SMALL, MICHAEL; DE MELLO, RODRIGO FERNANDES. Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, v. 25, n. 1, . Web of Science Citations: 4. (09/18293-9, 11/02655-9)

DA COSTA, FAUSTO G.; DUARTE, FELIPE S. L. G.; VALLIM, ROSANE M. M.; DE MELLO, RODRIGO F.. Multidimensional surrogate stability to detect data stream concept drift. EXPERT SYSTEMS WITH APPLICATIONS, v. 87, p. 15-29, . Web of Science Citations: 6. (14/13323-5, 14/21636-3)

PAGLIOSA, LUCAS DE CARVALHO; DE MELLO, RODRIGO FERNANDES. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. EXPERT SYSTEMS WITH APPLICATIONS, v. 71, p. 216-229, . Web of Science Citations: 7. (15/22406-4, 14/13323-5)

PAGLIOSA, LUCAS DE CARVALHO; DE MELLO, RODRIGO FERNANDES. Semi-supervised time series classification on positive and unlabeled problems using cross-recurrence quantification analysis. PATTERN RECOGNITION, v. 80, p. 53-63, . Web of Science Citations: 1. (15/22406-4, 14/13323-5)

RIBEIRO GABRIEL, PAULO HENRIQUE; DE MELLO, RODRIGO FERNANDES. Modelling distributed computing workloads to support the study of scheduling decisions. International Journal of Computational Science and Engineering, v. 11, n. 2, p. 155-166, . Web of Science Citations: 2. (09/15338-1, 11/02655-9)

DA COSTA, F. G.; RIOS, R. A.; DE MELLO, R. F.. Using dynamical systems tools to detect concept drift in data streams. EXPERT SYSTEMS WITH APPLICATIONS, v. 60, p. 39-50, . Web of Science Citations: 6. (14/13323-5)

PEREIRA, CASSIO M. M.; DE MELLO, RODRIGO F.. PTS: Projected Topological Stream clustering algorithm. Neurocomputing, v. 180, n. SI, p. 16-26, . Web of Science Citations: 1. (14/13323-5, 13/04453-0)

RIOS, RICARDO ARAUJO; DE MELLO, RODRIGO FERNANDES. Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Processing, v. 118, p. 159-176, . Web of Science Citations: 12. (14/13323-5, 09/18293-9)

PAGLIOSA, LUCAS DE CARVALHO; TELEA, ALEXANDRU C.. RadViz++: Improvements on Radial-Based Visualizations. INFORMATICS-BASEL, v. 6, n. 2, . Web of Science Citations: 2. (18/10652-9)

VALLIM, ROSANE M. M.; DE MELLO, RODRIGO F.. Proposal of a new stability concept to detect changes in unsupervised data streams. EXPERT SYSTEMS WITH APPLICATIONS, v. 41, n. 16, p. 7350-7360, . Web of Science Citations: 6. (13/16480-1)

FERREIRA, MARTHA DAIS; CORREA, DEBORA CRISTINA; GRIVET, MARCOS ANTONIO; DOS SANTOS, GEOVAN TAVARES; DE MELLO, RODRIGO FERNANDES; NONATO, LUIS GUSTAVO. On Accuracy and Time Processing Evaluation of Cover Song Identification Systems. JOURNAL OF NEW MUSIC RESEARCH, v. 45, n. 4, p. 333-342, . Web of Science Citations: 1. (11/22749-8, 14/13323-5, 12/17961-0)

RIOS, RICARDO ARAUJO; PARROTT, LAEL; LANGE, HOLGER; DE MELLO, RODRIGO FERNANDES. Estimating determinism rates to detect patterns in geospatial datasets. REMOTE SENSING OF ENVIRONMENT, v. 156, p. 11-20, . Web of Science Citations: 5. (09/18293-9, 11/02655-9)

DE MELLO, RODRIGO F.; RIOS, RICARDO A.; PAGLIOSA, PAULO A.; LOPES, CAIO S.. Concept drift detection on social network data using cross-recurrence quantification analysis. Chaos, v. 28, n. 8, . Web of Science Citations: 0. (17/16548-6, 13/07375-0)

VALLIM, ROSANE M. M.; DE MELLO, RODRIGO F.. Unsupervised change detection in data streams: an application in music analysis. PROGRESS IN ARTIFICIAL INTELLIGENCE, v. 4, n. 1-2, p. 1-10, . Web of Science Citations: 1. (14/13323-5, 13/16480-1)

PEREIRA, CASSIO M. M.; DE MELLO, RODRIGO F.. TS-stream: clustering time series on data streams. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v. 42, n. 3, p. 531-566, . Web of Science Citations: 9. (10/05062-6)

ALBERTINI, MARCELO KEESE; DE MELLO, RODRIGO FERNANDES. Energy-based function to evaluate data stream clustering. Advances in Data Analysis and Classification, v. 7, n. 4, p. 435-464, . Web of Science Citations: 5. (11/19459-8)

PEREIRA, CASSIO M. M.; DE MELLO, RODRIGO F.. LEARNING PROCESS BEHAVIOR FOR FAULT DETECTION. International Journal on Artificial Intelligence Tools, v. 20, n. 5, p. 969-980, . Web of Science Citations: 2. (09/04645-0)

ISHII, RENATO PORFIRIO; DE MELLO, RODRIGO FERNANDES. An Online Data Access Prediction and Optimization Approach for Distributed Systems. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, v. 23, n. 6, p. 1017-1029, . Web of Science Citations: 13. (11/02655-9)

FERREIRA, MARTHA DAIS; CORREA, DEBORA CRISTINA; NONATO, LUIS GUSTAVO; DE MELLO, RODRIGO FERNANDES. Designing architectures of convolutional neural networks to solve practical problems. EXPERT SYSTEMS WITH APPLICATIONS, v. 94, p. 205-217, . Web of Science Citations: 12. (11/22749-8, 14/13323-5, 12/17961-0)

DUARTE, FELIPE S. L. G.; RIOS, RICARDO A.; HRUSCHKA, EDUARDO R.; DE MELLO, RODRIGO F.. Decomposing time series into deterministic and stochastic influences: A survey. DIGITAL SIGNAL PROCESSING, v. 95, . Web of Science Citations: 0. (17/16548-6, 13/07375-0, 14/21636-3)

DE MELLO, RODRIGO F.; VAZ, YULE; GROSSI, CARLOS H.; BIFET, ALBERT. On learning guarantees to unsupervised concept drift detection on data streams. EXPERT SYSTEMS WITH APPLICATIONS, v. 117, p. 90-102, . Web of Science Citations: 4. (17/16548-6)

DE MELLO, RODRIGO E.; MANAPRAGADA, CHAITANYA; BIFET, ALBERT. Measuring the Shattering coefficient of Decision Tree models. EXPERT SYSTEMS WITH APPLICATIONS, v. 137, p. 443-452, . Web of Science Citations: 0. (17/16548-6)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ALBERTINI, Marcelo Keese. Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados. 2012. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

GABRIEL, Paulo Henrique Ribeiro. Uma abordagem orientada a sistemas para otimização de escalonamento de processos em grades computacionais. 2013. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

PEREIRA, Cássio Martini Martins. Agrupamento de séries temporais em fluxos contínuos de dados. 2013. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

RIOS, Ricardo Araújo. Modelagem de séries temporais por meio da decomposição e análise de influências estocásticas e determinísticas. 2013. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

PEREIRA, Cássio Martini Martins. Detecção de faltas: uma abordagem baseada no comportamento de processos. 2011. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

SANTOS, Matheus Lorenzo dos. Classificação e detecção de variações de comportamento: uma abordagem aplicada à identificação de perfis de usuários. 2008. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

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