An Environment for Generating Applications Involving Remote Manipulation of Parallel Machines. - Luciano G. Fagundes; Rodrigo Fernandes de Mello; Célio Estevan Morón (IPPS/SPDP Workshops, 1999)

A Java Cluster Management Service. - Rodrigo Fernandes de Mello; Maria Stela V. de Paiva; Luís Carlos Trevelin (NCA, 2001)

An Environment for Generating Visual Applications Involving Real-Time Remote Procedure Calls. - Renato T. N. Villela; Rodrigo Fernandes de Mello; Célio Estevan Morón (WORDS, 2001)

Analysis on the Significant Information to Update the Tables on Occupation of Resources by Using a Peer-to-Peer Protocol. - Rodrigo Fernandes de Mello; Maria Stela V. de Paiva; Luís Carlos Trevelin; Adilson Gonzaga (HPCS, 2002)

OpenTella: A Peer-to-Peer Protocol for the Load Balancing in a System Formed by a Cluster from Clusters. - Rodrigo Fernandes de Mello; Maria Stela V. de Paiva; Luís Carlos Trevelin; Adilson Gonzaga (ISHPC, 2002)

Model for Resources Load Evaluation in Clusters by Using a Peer-to-Peer Protocol. - Rodrigo Fernandes de Mello; Maria Stela V. de Paiva; Luís Carlos Trevelin; Adilson Gonzaga (PDPTA, 2002)

Proposal and performance evaluation of a load balancing algorithm for heterogeneous scalable distributed environments (Proposta e avaliação de desempenho de um algoritmo de balanceamento de carga para ambientes distribuídos heterogêneos escaláveis). - Rodrigo Fernandes de Mello (2003)

A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments. - Rodrigo Fernandes de Mello; Luciano José Senger (SBAC-PAD, 2004)

Proposal of a Tree Load Balancing Algorithm to Grid Computing Environments. - Rodrigo Fernandes de Mello; Erico C. T. de Mattos; Luís Carlos Trevelin; Maria Stela Veludo de Paiva; Laurence Tianruo Yang (IEICE Trans. Inf. Syst., 2004)

Comparative analysis of the prototype and the simulator of a new load balancing algorithm for heterogeneous computing environments. - Rodrigo Fernandes de Mello; Luís Carlos Trevelin; Maria Stela V. de Paiva; Laurence Tianruo Yang (Int. J. High Perform. Comput. Netw., 2004)

A Network Evaluation for LAN, MAN and WAN Grid Environments. - Evgueni Dodonov; Rodrigo Fernandes de Mello; Laurence Tianruo Yang (EUC, 2005)

Improving Scheduling Decisions by Using Knowledge About Parallel Applications Resource Usage. - Luciano José Senger; Rodrigo Fernandes de Mello; Marcos José Santana; Regina Helena Carlucci Santana; Laurence Tianruo Yang (HPCC, 2005)

Scheduling Based on the Impact over Process Communication of Parallel Applications. - Renato Porfirio Ishii; Rodrigo Fernandes de Mello; Luciano José Senger; Marcos José Santana; Regina Helena Carlucci Santana (HPCS, 2005)

Improving Scheduling of Communication Intensive Parallel Applications on Heterogeneous Computing Environments. - Renato Porfirio Ishii; Rodrigo Fernandes de Mello; Luciano José Senger; Marcos José Santana; Regina Helena Carlucci Santana; Laurence Tianruo Yang (Parallel Process. Lett., 2005)

A Routing Load Balancing Policy for Grid Computing Environments. - Rodrigo Fernandes de Mello; Luciano José Senger; Laurence Tianruo Yang (AINA (1), 2006)

A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture. - Adenilso da Silva Simão; Rodrigo Fernandes de Mello; Luciano José Senger (COMPSAC (2), 2006)

A new method for classifying and searching software components by using a self-organizing neural network architecture. - Claudia A. S. Mello; Rodrigo Fernandes de Mello; Marilde Terezinha Prado Santos; Luciano José Senger; Laurence Tianruo Yang (GrC, 2006)

Adaptive Technique for Automatic Communication Access Pattern Discovery Applied to Data Prefetching in Distributed Applications Using Neural Networks and Stochastic Models. - Evgueni Dodonov; Rodrigo Fernandes de Mello; Laurence Tianruo Yang (ISPA, 2006)

Process Scheduling Using Ant Colony Optimization Techniques. - Bruno Rodrigues Nery; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho; Laurence Tianruo Yang (ISPA, 2006)

Model for Simulation of Heterogeneous High-Performance Computing Environments. - Rodrigo Fernandes de Mello; Luciano José Senger (VECPAR, 2006)

Comparative study of the server-initiated lowest algorithm using a load balancing index based on the process behavior for heterogeneous environment. - Rodrigo Fernandes de Mello; Luís Carlos Trevelin; Maria Stela V. de Paiva; Laurence Tianruo Yang (Clust. Comput., 2006)

Performance Evaluation of Route: A Load Balancing Algorithm for Grid Computing. - Rodrigo Fernandes de Mello; Luciano José Senger; Laurence Tianruo Yang (RITA, 2006)

RouteGA: A Grid Load Balancing Algorithm with Genetic Support. - Rodrigo Fernandes de Mello; Jose Augusto Andrade Filho; Luciano José Senger; Laurence Tianruo Yang (AINA, 2007)

A Model for Automatic On-Line Process Behavior Extraction, Classification and Prediction in Heterogeneous Distributed Systems. - Evgueni Dodonov; Rodrigo Fernandes de Mello (CCGRID, 2007)

Extraction and Classification of User Behavior. - Matheus L. dos Santos; Rodrigo Fernandes de Mello; Laurence Tianruo Yang (EUC, 2007)

A Complex Network-Based Approach for Job Scheduling in Grid Environments. - Renato Porfirio Ishii; Rodrigo Fernandes de Mello; Laurence Tianruo Yang (HPCC, 2007)

A Model to Estimate Transcoding Costs Applied in Live-Video Transmissions. - Rudinei Goularte; Rodrigo Fernandes de Mello; Evgueni Dodonov; Laurence Tianruo Yang (IPC, 2007)

Model for Automatic Text Classification and Categorization for Image Indexing and Retrieval. - Rodrigo Fernandes de Mello; Josiane Maria Bueno; Luciano José Senger; Laurence Tianruo Yang (IPC, 2007)

An Adaptive Audio Quantizer for Voip Systems. - Ricardo Bertagna; Rodrigo Fernandes de Mello; Laurence T. Yang (ISM, 2007)

Optimizing Distributed Data Access in Grid Environments by Using Artificial Intelligence Techniques. - Rodrigo Fernandes de Mello; Jose Augusto Andrade Filho; Evgueni Dodonov; Renato Porfirio Ishii; Laurence Tianruo Yang (ISPA, 2007)

A New Memory Slowdown Model for the Characterization of Computing Systems. - Rodrigo Fernandes de Mello; Luciano José Senger; Kuan-Ching Li; Laurence Tianruo Yang (PaCT, 2007)

A self-organizing neural network for detecting novelties. - Marcelo Keese Albertini; Rodrigo Fernandes de Mello (SAC, 2007)

Exigency-based real-time scheduling policy to provide absolute QoS for web services. - Lucas S. Casagrande; Rodrigo Fernandes de Mello; Ricardo Bertagna; Jose Augusto Andrade Filho; Francisco José Monaco (SBAC-PAD, 2007)

A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. - Marcelo Keese Albertini; Kuan-Ching Li; Rodrigo Fernandes de Mello (APSCC, 2008)

Toward an Efficient Middleware for Multithreaded Applications in Computational Grid. - Jose Augusto Andrade Filho; Rodrigo Fernandes de Mello; Evgueni Dodonov; Luciano José Senger; Laurence Tianruo Yang; Kuan-Ching Li (CSE, 2008)

On Simulated Annealing for the Scheduling of Parallel Applications. - Rodrigo Fernandes de Mello; Luciano José Senger (SBAC-PAD, 2008)

Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. - Rodrigo Fernandes de Mello; Iker Gondra (SBIA, 2008)

Improving regression testing performance using the Adaptive Resonance Theory-2A self-organising neural network architecture. - Adenilso da Silva Simão; Rodrigo Fernandes de Mello; Luciano José Senger; Laurence Tianruo Yang (Int. J. Auton. Adapt. Commun. Syst., 2008)

Image indexing and retrieval using an ART-2A neural network architecture. - Rodrigo Fernandes de Mello; Josiane Maria Bueno; Luciano José Senger; Laurence T. Yang (Int. J. Imaging Syst. Technol., 2008)

Grid job scheduling using Route with Genetic Algorithm support. - Rodrigo Fernandes de Mello; Jose Augusto Andrade Filho; Luciano José Senger; Laurence Tianruo Yang (Telecommun. Syst., 2008)

Behavioral Study of UNIX Commands in a Faulty Environment. - Cássio Martini Martins Pereira; Rodrigo Fernandes de Mello (DASC, 2009)

On modeling and evaluating multicomputer transcoding architectures for live-video streams. - Rodrigo Fernandes de Mello; Rudinei Goularte; Evgueni Dodonov; Laurence Tianruo Yang; Jong Hyuk Park 001; Tai-Hoon Kim (Multim. Tools Appl., 2009)

Extracting and predicting the communication behaviour of parallel applications. - Rodrigo Fernandes de Mello; Evgueni Dodonov; Ricardo Bertagna; Luciano José Senger (Int. J. Parallel Emergent Distributed Syst., 2009)

Prediction of dynamical, nonlinear, and unstable process behavior. - Rodrigo Fernandes de Mello; Laurence Tianruo Yang (J. Supercomput., 2009)

A Self-Organizing Neural Network to Approach Novelty Detection. - Marcelo Keese Albertini; Rodrigo Fernandes de Mello (Intelligent Systems for Automated Learning and Adaptation, 2010)

A novel approach for distributed application scheduling based on prediction of communication events. - Evgueni Dodonov; Rodrigo Fernandes de Mello (Future Gener. Comput. Syst., 2010)

Variation Detection applied in User Signature Verification. - Rodrigo Fernandes de Mello; Matheus L. dos Santos; Marcelo Keese Albertini (RITA, 2010)

Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. - Jose Augusto Andrade Filho; André C. P. L. F. de Carvalho; Rodrigo Fernandes de Mello; Salem Alelyani; Huan Liu 001 (ICTAI, 2011)

Learning Process Behavior for Fault Detection. - Cássio M. M. Pereira; Rodrigo Fernandes de Mello (Int. J. Artif. Intell. Tools, 2011)

Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach. - Renato Porfirio Ishii; Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Int. J. Comput. Sci. Eng., 2011)

Improving the performance and accuracy of time series modeling based on autonomic computing systems. - Rodrigo Fernandes de Mello (J. Ambient Intell. Humaniz. Comput., 2011)

Entropy-Based Approach to Analyze and Classify Mineral Aggregates. - Lilian Tais de Gouveia; Luciano da Fontoura Costa; Luciano José Senger; Marcelo Keese Albertini; Rodrigo Fernandes de Mello (J. Comput. Civ. Eng., 2011)

An Online Data Access Prediction and Optimization Approach for Distributed Systems. - Renato Porfirio Ishii; Rodrigo Fernandes de Mello (IEEE Trans. Parallel Distributed Syst., 2012)

Energy-based function to evaluate data stream clustering. - Marcelo Keese Albertini; Rodrigo Fernandes de Mello (Adv. Data Anal. Classif., 2013)

Online behavior change detection in computer games. - Rosane Maria Maffei Vallim; Jose Augusto Andrade Filho; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho (Expert Syst. Appl., 2013)

Data stream dynamic clustering supported by Markov chain isomorphisms. - Marcelo Keese Albertini; Rodrigo Fernandes de Mello (Intell. Data Anal., 2013)

Intrusion Detection in Unstructured Contexts Using On-line Clustering and Novelty Detection. - Eduardo Alves Ferreira; Rodrigo Fernandes de Mello (RITA, 2013)

Common Dissimilarity Measures are Inappropriate for Time Series Clustering. - Cássio Martini Martins Pereira; Rodrigo Fernandes de Mello (RITA, 2013)

Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. - Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Signal Process., 2013)

A Stable and Online Approach to Detect Concept Drift in Data Streams. - Fausto Guzzo da Costa; Rodrigo Fernandes de Mello (BRACIS, 2014)

Data Clustering Using Topological Features. - Cássio M. M. Pereira; Rodrigo Fernandes de Mello (BRACIS, 2014)

Proposal of a new stability concept to detect changes in unsupervised data streams. - Rosane Maria Maffei Vallim; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2014)

Unsupervised density-based behavior change detection in data streams. - Rosane Maria Maffei Vallim; Jose Augusto Andrade Filho; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Intell. Data Anal., 2014)

TS-stream: clustering time series on data streams. - Cássio M. M. Pereira; Rodrigo Fernandes de Mello (J. Intell. Inf. Syst., 2014)

Localized Ant Colony of Robots for Redeployment in Wireless Sensor Networks. - Yuan Wang; Ahmed Barnawi; Rodrigo Fernandes de Mello; Ivan Stojmenovic (J. Multiple Valued Log. Soft Comput., 2014)

Persistent homology for time series and spatial data clustering. - Cássio M. M. Pereira; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2015)

Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. - Ricardo Araújo Rios; Michael Small; Rodrigo Fernandes de Mello (Int. J. Bifurc. Chaos, 2015)

Modelling distributed computing workloads to support the study of scheduling decisions. - Paulo Henrique Ribeiro Gabriel; Rodrigo Fernandes de Mello (Int. J. Comput. Sci. Eng., 2015)

Unsupervised change detection in data streams: an application in music analysis. - Rosane Maria Maffei Vallim; Rodrigo Fernandes de Mello (Prog. Artif. Intell., 2015)

Using dynamical systems tools to detect concept drift in data streams. - Fausto Guzzo da Costa; Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2016)

PTS: Projected Topological Stream clustering algorithm. - Cássio M. M. Pereira; Rodrigo Fernandes de Mello (Neurocomputing, 2016)

Application execution path analysis for the automatic parallelisation of binary codes in the Intel x86 platform. - André M. Eberle; Rodrigo Fernandes de Mello (Int. J. Parallel Emergent Distributed Syst., 2016)

Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems. - Paulo Henrique Ribeiro Gabriel; Marcelo Keese Albertini; Antonio Castelo; Rodrigo Fernandes de Mello (Int. J. Parallel Emergent Distributed Syst., 2016)

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. - Yule Vaz; Rodrigo Fernandes de Mello (RITA, 2016)

Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. - Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Signal Process., 2016)

Analyzing the Public Opinion on the Brazilian Political and Corruption Issues. - Ricardo Araújo Rios; Caio S. Lopes; Fabio H. G. Sikansi; Paulo A. Pagliosa; Rodrigo Fernandes de Mello (BRACIS, 2017)

Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. - Christopher Dane Shulby; Martha Dais Ferreira; Rodrigo Fernandes de Mello; Sandra Maria Aluísio (BRACIS, 2017)

TSViz: a data stream architecture to online collect, analyze, and visualize tweets. - Ricardo Araújo Rios; Paulo A. Pagliosa; Renato Porfirio Ishii; Rodrigo Fernandes de Mello (SAC, 2017)

Providing theoretical learning guarantees to Deep Learning Networks. - Rodrigo Fernandes de Mello; Martha Dais Ferreira; Moacir Antonelli Ponti (CoRR, 2017)

Multidimensional surrogate stability to detect data stream concept drift. - Fausto Guzzo da Costa; Felipe S. L. G. Duarte; Rosane Maria Maffei Vallim; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2017)

Applying a kernel function on time-dependent data to provide supervised-learning guarantees. - Lucas de Carvalho Pagliosa; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2017)

Is Even Data Analysis Ready Today? - Rodrigo Fernandes de Mello; Ricardo Araújo Rios; Paulo A. Pagliosa; Renato Porfirio Ishii (Int. J. Unconv. Comput., 2017)

Machine Learning - A Practical Approach on the Statistical Learning Theory - Rodrigo Fernandes de Mello; Moacir Antonelli Ponti (Springer, 2018)

Time Series Decomposition Using Spring System Applied on Phase Spaces. - Felipe Simoes Lage Gomes Duarte; Ricardo Araújo Rios; Eduardo Raul Hruschka; Rodrigo Fernandes de Mello (BRACIS, 2018)

Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks. - Tiago Santana de Nazaré; Gabriel de Barros Paranhos da Costa; Rodrigo Fernandes de Mello; Moacir Antonelli Ponti (SIBGRAPI, 2018)

Computing the Shattering Coefficient of Supervised Learning Algorithms. - Rodrigo Fernandes de Mello; Moacir Antonelli Ponti; Carlos Henrique Grossi Ferreira (CoRR, 2018)

Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? - Tiago S. Nazaré; Rodrigo Fernandes de Mello; Moacir A. Ponti (CoRR, 2018)

Designing architectures of convolutional neural networks to solve practical problems. - Martha Dais Ferreira; Débora Cristina Corrêa; Luis Gustavo Nonato; Rodrigo Fernandes de Mello (Expert Syst. Appl., 2018)

Estimating data stream tendencies to adapt clustering parameters. - Marcelo Keese Albertini; Rodrigo Fernandes de Mello (Int. J. High Perform. Comput. Netw., 2018)

Semi-supervised time series classification on positive and unlabeled problems using cross-recurrence quantification analysis. - Lucas de Carvalho Pagliosa; Rodrigo Fernandes de Mello (Pattern Recognit., 2018)

Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. - Heitor Murilo Gomes; Rodrigo Fernandes de Mello; Bernhard Pfahringer; Albert Bifet (IEEE BigData, 2019)

Robust Phoneme Recognition with Little Data. - Christopher Dane Shulby; Martha Dais Ferreira; Rodrigo Fernandes de Mello; Sandra Maria Aluísio (SLATE, 2019)

On the Shattering Coefficient of Supervised Learning Algorithms. - Rodrigo Fernandes de Mello (CoRR, 2019)

Decomposing time series into deterministic and stochastic influences: A survey. - Felipe S. L. G. Duarte; Ricardo Araújo Rios; Eduardo R. Hruschka; Rodrigo Fernandes de Mello (Digit. Signal Process., 2019)

Measuring the Shattering coefficient of Decision Tree models. - Rodrigo Fernandes de Mello; Chaitanya Manapragada; Albert Bifet (Expert Syst. Appl., 2019)

On learning guarantees to unsupervised concept drift detection on data streams. - Rodrigo Fernandes de Mello; Yule Vaz; Carlos Henrique Grossi Ferreira; Albert Bifet (Expert Syst. Appl., 2019)

Theoretical learning guarantees applied to acoustic modeling. - Christopher Dane Shulby; Martha Dais Ferreira; Rodrigo Fernandes de Mello; Sandra M. Aluísio (J. Braz. Comput. Soc., 2019)

Random Projections and α-Shape to Support the Kernel Design (Student Abstract). - Daniel Moreira Cestari; Rodrigo Fernandes de Mello (AAAI, 2020)

Data Streams Are Time Series: Challenging Assumptions. - Jesse Read; Ricardo Araújo Rios; Tatiane Nogueira 001; Rodrigo Fernandes de Mello (BRACIS (2), 2020)

Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection. - Victor M. G. dos Santos; Rodrigo Fernandes de Mello; Tatiane Nogueira 001; Ricardo Araújo Rios (BRACIS (2), 2020)

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. - Maroua Bahri; Albert Bifet; Silviu Maniu; Rodrigo Fernandes de Mello; Nikolaos Tziortziotis (ECAI, 2020)

Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling. - Lucas de Carvalho Pagliosa; Alexandru C. Telea; Rodrigo Fernandes de Mello (CoRR, 2020)

Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory. - Lucas de Carvalho Pagliosa; Rodrigo Fernandes de Mello (CoRR, 2020)

Time series clustering using stochastic and deterministic influences. - Mirlei Moura Da Silva; Rodrigo Fernandes de Mello; Ricardo Araújo Rios (Int. J. Comput. Sci. Eng., 2020)

Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks. - Dezhi Han; Yunping Yu; Kuan-Ching Li; Rodrigo Fernandes de Mello (Sensors, 2020)

Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos. - Tiago S. Nazaré; Rodrigo Fernandes de Mello; Moacir A. Ponti (VISIGRAPP (5: VISAPP), 2021)

Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. - Marcos Vinícius dos Santos Ferreira; Ricardo Araújo Rios; Rodrigo Fernandes de Mello; Tatiane Nogueira Rios (Appl. Soft Comput., 2021)

Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system. - Tingting Xiao; Dezhi Han; Junhui He; Kuan-Ching Li; Rodrigo Fernandes de Mello (Connect. Sci., 2021)

Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles. - Gabriel Dias Cantareira; Rodrigo Fernandes de Mello; Fernando V. Paulovich (CoRR, 2021)

Coarse-refinement dilemma: On generalization bounds for data clustering. - Yule Vaz; Rodrigo Fernandes de Mello; Carlos Henrique Grossi Ferreira (Expert Syst. Appl., 2021)

Cross-modality co-attention networks for visual question answering. - Dezhi Han; Shuli Zhou; Kuan-Ching Li; Rodrigo Fernandes de Mello (Soft Comput., 2021)

On supervised learning to model and predict cattle weight in precision livestock breeding. - Adriele Giaretta Biase; Tiago Zanett Albertini; Rodrigo Fernandes de Mello (Comput. Electron. Agric., 2022)

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. - Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram 002 (Inf. Sci., 2022)

Brazilian Forest Dataset: A new dataset to model local biodiversity. - Ricardo Araújo Rios; Tatiane Nogueira Rios; Gabriel R. Palma; Rodrigo Fernandes de Mello (J. Exp. Theor. Artif. Intell., 2022)

Neural network training fingerprint: visual analytics of the training process in classification neural networks. - Martha Dais Ferreira; Gabriel Dias Cantareira; Rodrigo Fernandes de Mello; Fernando V. Paulovich (J. Vis., 2022)

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. - Heitor Murilo Gomes; Maciej Grzenda; Rodrigo Fernandes de Mello; Jesse Read; Minh-Huong Le Nguyen; Albert Bifet (ACM Comput. Surv., 2023)

eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest. - Tatiane Nogueira Rios; Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Appl. Soft Comput., 2023)

Forecasting insect abundance using time series embedding and machine learning. - Gabriel R. Palma; Rodrigo Fernandes de Mello; Wesley Augusto Conde Godoy; Eduardo Engel; Douglas Lau; Charles Markham; Rafael A. Moral (Ecol. Informatics, 2025)