Rodrigo Fernandes de Mello

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 49

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Tatiane Nogueira Rios, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest. Appl. Soft Comput. 134 (2023)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. 55 (4) (2023)
Ricardo Araújo Rios, Tatiane Nogueira Rios, Gabriel R. Palma, Rodrigo Fernandes de Mello
Brazilian Forest Dataset: A new dataset to model local biodiversity. J. Exp. Theor. Artif. Intell. 34 (2) (2022)
Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich
Neural network training fingerprint: visual analytics of the training process in classification neural networks. J. Vis. 25 (3) (2022)
Adriele Giaretta Biase, Tiago Zanett Albertini, Rodrigo Fernandes de Mello
On supervised learning to model and predict cattle weight in precision livestock breeding. Comput. Electron. Agric. 195 (2022)
Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama, Rodrigo Fernandes de Mello, Suresh Sundaram
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. Inf. Sci. 607 (2022)
Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Rodrigo Fernandes de Mello, Tatiane Nogueira Rios
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Appl. Soft Comput. 113 (Part) (2021)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR (2021)
Tingting Xiao, Dezhi Han, Junhui He, Kuan-Ching Li, Rodrigo Fernandes de Mello
Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system. Connect. Sci. 33 (1) (2021)
Dezhi Han, Shuli Zhou, Kuan-Ching Li, Rodrigo Fernandes de Mello
Cross-modality co-attention networks for visual question answering. Soft Comput. 25 (7) (2021)
Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti
Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos. VISIGRAPP (5: VISAPP) (2021)
Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira
Coarse-refinement dilemma: On generalization bounds for data clustering. Expert Syst. Appl. 184 (2021)
Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory. CoRR (2020)
Mirlei Moura Da Silva, Rodrigo Fernandes de Mello, Ricardo Araújo Rios
Time series clustering using stochastic and deterministic influences. Int. J. Comput. Sci. Eng. 21 (3) (2020)
Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI (2020)
Lucas de Carvalho Pagliosa, Alexandru C. Telea, Rodrigo Fernandes de Mello
Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling. CoRR (2020)
Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello
Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) (2020)
Dezhi Han, Yunping Yu, Kuan-Ching Li, Rodrigo Fernandes de Mello
Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks. Sensors 20 (2) (2020)
Victor M. G. dos Santos, Rodrigo Fernandes de Mello, Tatiane Nogueira, Ricardo Araújo Rios
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection. BRACIS (2) (2020)
Daniel Moreira Cestari, Rodrigo Fernandes de Mello
Random Projections and α-Shape to Support the Kernel Design (Student Abstract). AAAI (2020)
Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet
Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. 137 (2019)
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData (2019)
Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello
Decomposing time series into deterministic and stochastic influences: A survey. Digit. Signal Process. 95 (2019)
Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
Robust Phoneme Recognition with Little Data. SLATE (2019)
Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering. CoRR (2019)
Rodrigo Fernandes de Mello
On the Shattering Coefficient of Supervised Learning Algorithms. CoRR (2019)
Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet
On learning guarantees to unsupervised concept drift detection on data streams. Expert Syst. Appl. 117 (2019)
Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra M. Aluísio
Theoretical learning guarantees applied to acoustic modeling. J. Braz. Comput. Soc. 25 (1) (2019)
Felipe Simoes Lage Gomes Duarte, Ricardo Araújo Rios, Eduardo Raul Hruschka, Rodrigo Fernandes de Mello
Time Series Decomposition Using Spring System Applied on Phase Spaces. BRACIS (2018)
Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello
Designing architectures of convolutional neural networks to solve practical problems. Expert Syst. Appl. 94 (2018)
Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
Semi-supervised time series classification on positive and unlabeled problems using cross-recurrence quantification analysis. Pattern Recognit. 80 (2018)
Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira
Computing the Shattering Coefficient of Supervised Learning Algorithms. CoRR (2018)
Tiago Santana de Nazaré, Gabriel de Barros Paranhos da Costa, Rodrigo Fernandes de Mello, Moacir Antonelli Ponti
Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks. SIBGRAPI (2018)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. 11 (1) (2018)
Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? CoRR (2018)
Ricardo Araújo Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, Rodrigo Fernandes de Mello
Analyzing the Public Opinion on the Brazilian Political and Corruption Issues. BRACIS (2017)
Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii
Is Even Data Analysis Ready Today? Int. J. Unconv. Comput. 13 (3) (2017)
Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii, Rodrigo Fernandes de Mello
TSViz: a data stream architecture to online collect, analyze, and visualize tweets. SAC (2017)
Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. BRACIS (2017)
Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti
Providing theoretical learning guarantees to Deep Learning Networks. CoRR (2017)
Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. CoRR (2017)
Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Syst. Appl. 71 (2017)
Fausto Guzzo da Costa, Felipe S. L. G. Duarte, Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
Multidimensional surrogate stability to detect data stream concept drift. Expert Syst. Appl. 87 (2017)
Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Process. 118 (2016)
Yule Vaz, Rodrigo Fernandes de Mello
Emprego de Banco de Filtros e do Teorema de Imersão de Takens em Padrões Espaciais para a Classificação de Imagética Motora em Interfaces Cérebro-Computador. RITA 23 (2) (2016)
Paulo Henrique Ribeiro Gabriel, Marcelo Keese Albertini, Antonio Castelo, Rodrigo Fernandes de Mello
Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems. Int. J. Parallel Emergent Distributed Syst. 31 (1) (2016)
Fausto Guzzo da Costa, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Using dynamical systems tools to detect concept drift in data streams. Expert Syst. Appl. 60 (2016)
Cássio M. M. Pereira, Rodrigo Fernandes de Mello
PTS: Projected Topological Stream clustering algorithm. Neurocomputing 180 (2016)
André M. Eberle, Rodrigo Fernandes de Mello
Application execution path analysis for the automatic parallelisation of binary codes in the Intel x86 platform. Int. J. Parallel Emergent Distributed Syst. 31 (5) (2016)
Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
Unsupervised change detection in data streams: an application in music analysis. Prog. Artif. Intell. 4 (1-2) (2015)
Cássio M. M. Pereira, Rodrigo Fernandes de Mello
Persistent homology for time series and spatial data clustering. Expert Syst. Appl. 42 (15-16) (2015)
Ricardo Araújo Rios, Michael Small, Rodrigo Fernandes de Mello
Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. Int. J. Bifurc. Chaos 25 (1) (2015)
Paulo Henrique Ribeiro Gabriel, Rodrigo Fernandes de Mello
Modelling distributed computing workloads to support the study of scheduling decisions. Int. J. Comput. Sci. Eng. 11 (2) (2015)
Cássio M. M. Pereira, Rodrigo Fernandes de Mello
TS-stream: clustering time series on data streams. J. Intell. Inf. Syst. 42 (3) (2014)
Cássio M. M. Pereira, Rodrigo Fernandes de Mello
Data Clustering Using Topological Features. BRACIS (2014)
Fausto Guzzo da Costa, Rodrigo Fernandes de Mello
A Stable and Online Approach to Detect Concept Drift in Data Streams. BRACIS (2014)
Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
Unsupervised density-based behavior change detection in data streams. Intell. Data Anal. 18 (2) (2014)
Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
Proposal of a new stability concept to detect changes in unsupervised data streams. Expert Syst. Appl. 41 (16) (2014)
Yuan Wang, Ahmed Barnawi, Rodrigo Fernandes de Mello, Ivan Stojmenovic
Localized Ant Colony of Robots for Redeployment in Wireless Sensor Networks. J. Multiple Valued Log. Soft Comput. 23 (1-2) (2014)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7 (4) (2013)
Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho
Online behavior change detection in computer games. Expert Syst. Appl. 40 (16) (2013)
Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello
Common Dissimilarity Measures are Inappropriate for Time Series Clustering. RITA 20 (1) (2013)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17 (3) (2013)
Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Process. 93 (11) (2013)
Eduardo Alves Ferreira, Rodrigo Fernandes de Mello
Intrusion Detection in Unstructured Contexts Using On-line Clustering and Novelty Detection. RITA 20 (2) (2013)
Renato Porfirio Ishii, Rodrigo Fernandes de Mello
An Online Data Access Prediction and Optimization Approach for Distributed Systems. IEEE Trans. Parallel Distributed Syst. 23 (6) (2012)
Renato Porfirio Ishii, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach. Int. J. Comput. Sci. Eng. 6 (4) (2011)
Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI (2011)
Cássio M. M. Pereira, Rodrigo Fernandes de Mello
Learning Process Behavior for Fault Detection. Int. J. Artif. Intell. Tools 20 (5) (2011)
Lilian Tais de Gouveia, Luciano da Fontoura Costa, Luciano José Senger, Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Entropy-Based Approach to Analyze and Classify Mineral Aggregates. J. Comput. Civ. Eng. 25 (1) (2011)
Rodrigo Fernandes de Mello
Improving the performance and accuracy of time series modeling based on autonomic computing systems. J. Ambient Intell. Humaniz. Comput. 2 (1) (2011)
Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini
Variation Detection applied in User Signature Verification. RITA 17 (1) (2010)
Evgueni Dodonov, Rodrigo Fernandes de Mello
A novel approach for distributed application scheduling based on prediction of communication events. Future Gener. Comput. Syst. 26 (5) (2010)
Rodrigo Fernandes de Mello, Rudinei Goularte, Evgueni Dodonov, Laurence Tianruo Yang, Jong Hyuk Park, Tai-Hoon Kim
On modeling and evaluating multicomputer transcoding architectures for live-video streams. Multim. Tools Appl. 43 (2) (2009)
Rodrigo Fernandes de Mello, Evgueni Dodonov, Ricardo Bertagna, Luciano José Senger
Extracting and predicting the communication behaviour of parallel applications. Int. J. Parallel Emergent Distributed Syst. 24 (3) (2009)
Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello
Behavioral Study of UNIX Commands in a Faulty Environment. DASC (2009)
Rodrigo Fernandes de Mello, Laurence Tianruo Yang
Prediction of dynamical, nonlinear, and unstable process behavior. J. Supercomput. 49 (1) (2009)
Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello
A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC (2008)
Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, Evgueni Dodonov, Luciano José Senger, Laurence Tianruo Yang, Kuan-Ching Li
Toward an Efficient Middleware for Multithreaded Applications in Computational Grid. CSE (2008)
Adenilso da Silva Simão, Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
Improving regression testing performance using the Adaptive Resonance Theory-2A self-organising neural network architecture. Int. J. Auton. Adapt. Commun. Syst. 1 (3) (2008)
Rodrigo Fernandes de Mello, Josiane Maria Bueno, Luciano José Senger, Laurence T. Yang
Image indexing and retrieval using an ART-2A neural network architecture. Int. J. Imaging Syst. Technol. 18 (2-3) (2008)
Rodrigo Fernandes de Mello, Iker Gondra
Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. SBIA (2008)
Rodrigo Fernandes de Mello, Luciano José Senger
On Simulated Annealing for the Scheduling of Parallel Applications. SBAC-PAD (2008)
Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Luciano José Senger, Laurence Tianruo Yang
Grid job scheduling using Route with Genetic Algorithm support. Telecommun. Syst. 38 (3-4) (2008)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
A self-organizing neural network for detecting novelties. SAC (2007)
Rodrigo Fernandes de Mello, Luciano José Senger, Kuan-Ching Li, Laurence Tianruo Yang
A New Memory Slowdown Model for the Characterization of Computing Systems. PaCT (2007)
Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
A Complex Network-Based Approach for Job Scheduling in Grid Environments. HPCC (2007)
Lucas S. Casagrande, Rodrigo Fernandes de Mello, Ricardo Bertagna, Jose Augusto Andrade Filho, Francisco José Monaco
Exigency-based real-time scheduling policy to provide absolute QoS for web services. SBAC-PAD (2007)
Evgueni Dodonov, Rodrigo Fernandes de Mello
A Model for Automatic On-Line Process Behavior Extraction, Classification and Prediction in Heterogeneous Distributed Systems. CCGRID (2007)
Rodrigo Fernandes de Mello, Josiane Maria Bueno, Luciano José Senger, Laurence Tianruo Yang
Model for Automatic Text Classification and Categorization for Image Indexing and Retrieval. IPC (2007)
Matheus L. dos Santos, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
Extraction and Classification of User Behavior. EUC (2007)
Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Evgueni Dodonov, Renato Porfirio Ishii, Laurence Tianruo Yang
Optimizing Distributed Data Access in Grid Environments by Using Artificial Intelligence Techniques. ISPA (2007)
Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Luciano José Senger, Laurence Tianruo Yang
RouteGA: A Grid Load Balancing Algorithm with Genetic Support. AINA (2007)
Ricardo Bertagna, Rodrigo Fernandes de Mello, Laurence T. Yang
An Adaptive Audio Quantizer for Voip Systems. ISM (2007)
Rudinei Goularte, Rodrigo Fernandes de Mello, Evgueni Dodonov, Laurence Tianruo Yang
A Model to Estimate Transcoding Costs Applied in Live-Video Transmissions. IPC (2007)
Rodrigo Fernandes de Mello, Luciano José Senger
Model for Simulation of Heterogeneous High-Performance Computing Environments. VECPAR (2006)
Evgueni Dodonov, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
Adaptive Technique for Automatic Communication Access Pattern Discovery Applied to Data Prefetching in Distributed Applications Using Neural Networks and Stochastic Models. ISPA (2006)
Claudia A. S. Mello, Rodrigo Fernandes de Mello, Marilde Terezinha Prado Santos, Luciano José Senger, Laurence Tianruo Yang
A new method for classifying and searching software components by using a self-organizing neural network architecture. GrC (2006)
Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
Performance Evaluation of Route: A Load Balancing Algorithm for Grid Computing. RITA 13 (1) (2006)
Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
A Routing Load Balancing Policy for Grid Computing Environments. AINA (1) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rodrigo Fernandes de Mello