Rodrigo Fernandes de Mello

123 papers A* 1A 1B 5C 15Misc 4Journal 71Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Forecasting insect abundance using time series embedding and machine learning. Ecol. Informatics Gabriel R. Palma, Rodrigo Fernandes de Mello, Wesley Augusto Conde Godoy, Eduardo Engel, Douglas Lau, Charles Markham, Rafael A. Moral
2023	J	`jnl`	A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2023	J	`jnl`	eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest. Appl. Soft Comput. Tatiane Nogueira Rios, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
2022	J	`jnl`	Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. Inf. Sci. Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama, Rodrigo Fernandes de Mello, Suresh Sundaram
2022	J	`jnl`	Brazilian Forest Dataset: A new dataset to model local biodiversity. J. Exp. Theor. Artif. Intell. Ricardo Araújo Rios, Tatiane Nogueira Rios, Gabriel R. Palma, Rodrigo Fernandes de Mello
2022	J	`jnl`	Neural network training fingerprint: visual analytics of the training process in classification neural networks. J. Vis. Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich
2022	J	`jnl`	On supervised learning to model and predict cattle weight in precision livestock breeding. Comput. Electron. Agric. Adriele Giaretta Biase, Tiago Zanett Albertini, Rodrigo Fernandes de Mello
2021	J	`jnl`	A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2021	J	`jnl`	Coarse-refinement dilemma: On generalization bounds for data clustering. Expert Syst. Appl. Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira
2021	J	`jnl`	Cross-modality co-attention networks for visual question answering. Soft Comput. Dezhi Han, Shuli Zhou, Kuan-Ching Li, Rodrigo Fernandes de Mello
2021	J	`jnl`	Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles. CoRR Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich
2021	—	`conf`	Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos. VISIGRAPP (5: VISAPP) Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti
2021	J	`jnl`	Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system. Connect. Sci. Tingting Xiao, Dezhi Han, Junhui He, Kuan-Ching Li, Rodrigo Fernandes de Mello
2021	J	`jnl`	Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Appl. Soft Comput. Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Rodrigo Fernandes de Mello, Tatiane Nogueira Rios
2020	A	`conf`	Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis
2020	—	`conf`	Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello
2020	J	`jnl`	Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks. Sensors Dezhi Han, Yunping Yu, Kuan-Ching Li, Rodrigo Fernandes de Mello
2020	J	`jnl`	Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory. CoRR Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
2020	—	`conf`	Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection. BRACIS (2) Victor M. G. dos Santos, Rodrigo Fernandes de Mello, Tatiane Nogueira, Ricardo Araújo Rios
2020	A*	`conf`	Random Projections and α-Shape to Support the Kernel Design (Student Abstract). AAAI Daniel Moreira Cestari, Rodrigo Fernandes de Mello
2020	J	`jnl`	Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling. CoRR Lucas de Carvalho Pagliosa, Alexandru C. Telea, Rodrigo Fernandes de Mello
2020	J	`jnl`	Time series clustering using stochastic and deterministic influences. Int. J. Comput. Sci. Eng. Mirlei Moura Da Silva, Rodrigo Fernandes de Mello, Ricardo Araújo Rios
2019	J	`jnl`	Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering. CoRR Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira
2019	J	`jnl`	Decomposing time series into deterministic and stochastic influences: A survey. Digit. Signal Process. Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello
2019	—	`conf`	Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
2019	J	`jnl`	Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet
2019	J	`jnl`	On learning guarantees to unsupervised concept drift detection on data streams. Expert Syst. Appl. Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet
2019	J	`jnl`	On the Shattering Coefficient of Supervised Learning Algorithms. CoRR Rodrigo Fernandes de Mello
2019	—	`conf`	Robust Phoneme Recognition with Little Data. SLATE Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2019	J	`jnl`	Theoretical learning guarantees applied to acoustic modeling. J. Braz. Comput. Soc. Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra M. Aluísio
2018	J	`jnl`	Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? CoRR Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti
2018	—	`conf`	Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks. SIBGRAPI Tiago Santana de Nazaré, Gabriel de Barros Paranhos da Costa, Rodrigo Fernandes de Mello, Moacir Antonelli Ponti
2018	J	`jnl`	Computing the Shattering Coefficient of Supervised Learning Algorithms. CoRR Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira
2018	J	`jnl`	Designing architectures of convolutional neural networks to solve practical problems. Expert Syst. Appl. Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello
2018	J	`jnl`	Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2018	—	`book`	Machine Learning - A Practical Approach on the Statistical Learning Theory Rodrigo Fernandes de Mello, Moacir Antonelli Ponti
2018	J	`jnl`	Semi-supervised time series classification on positive and unlabeled problems using cross-recurrence quantification analysis. Pattern Recognit. Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
2018	—	`conf`	Time Series Decomposition Using Spring System Applied on Phase Spaces. BRACIS Felipe Simoes Lage Gomes Duarte, Ricardo Araújo Rios, Eduardo Raul Hruschka, Rodrigo Fernandes de Mello
2017	—	`conf`	Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. BRACIS Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2017	J	`jnl`	Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. CoRR Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2017	—	`conf`	Analyzing the Public Opinion on the Brazilian Political and Corruption Issues. BRACIS Ricardo Araújo Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, Rodrigo Fernandes de Mello
2017	J	`jnl`	Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Syst. Appl. Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello
2017	J	`jnl`	Is Even Data Analysis Ready Today? Int. J. Unconv. Comput. Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii
2017	J	`jnl`	Multidimensional surrogate stability to detect data stream concept drift. Expert Syst. Appl. Fausto Guzzo da Costa, Felipe S. L. G. Duarte, Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
2017	J	`jnl`	Providing theoretical learning guarantees to Deep Learning Networks. CoRR Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti
2017	Misc	`conf`	TSViz: a data stream architecture to online collect, analyze, and visualize tweets. SAC Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii, Rodrigo Fernandes de Mello
2016	J	`jnl`	Application execution path analysis for the automatic parallelisation of binary codes in the Intel x86 platform. Int. J. Parallel Emergent Distributed Syst. André M. Eberle, Rodrigo Fernandes de Mello
2016	J	`jnl`	Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Process. Ricardo Araújo Rios, Rodrigo Fernandes de Mello
2016	J	`jnl`	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 Yule Vaz, Rodrigo Fernandes de Mello
2016	J	`jnl`	Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems. Int. J. Parallel Emergent Distributed Syst. Paulo Henrique Ribeiro Gabriel, Marcelo Keese Albertini, Antonio Castelo, Rodrigo Fernandes de Mello
2016	J	`jnl`	PTS: Projected Topological Stream clustering algorithm. Neurocomputing Cássio M. M. Pereira, Rodrigo Fernandes de Mello
2016	J	`jnl`	Using dynamical systems tools to detect concept drift in data streams. Expert Syst. Appl. Fausto Guzzo da Costa, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
2015	J	`jnl`	Modelling distributed computing workloads to support the study of scheduling decisions. Int. J. Comput. Sci. Eng. Paulo Henrique Ribeiro Gabriel, Rodrigo Fernandes de Mello
2015	J	`jnl`	Persistent homology for time series and spatial data clustering. Expert Syst. Appl. Cássio M. M. Pereira, Rodrigo Fernandes de Mello
2015	J	`jnl`	Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. Int. J. Bifurc. Chaos Ricardo Araújo Rios, Michael Small, Rodrigo Fernandes de Mello
2015	J	`jnl`	Unsupervised change detection in data streams: an application in music analysis. Prog. Artif. Intell. Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
2014	—	`conf`	A Stable and Online Approach to Detect Concept Drift in Data Streams. BRACIS Fausto Guzzo da Costa, Rodrigo Fernandes de Mello
2014	—	`conf`	Data Clustering Using Topological Features. BRACIS Cássio M. M. Pereira, Rodrigo Fernandes de Mello
2014	J	`jnl`	Localized Ant Colony of Robots for Redeployment in Wireless Sensor Networks. J. Multiple Valued Log. Soft Comput. Yuan Wang, Ahmed Barnawi, Rodrigo Fernandes de Mello, Ivan Stojmenovic
2014	J	`jnl`	Proposal of a new stability concept to detect changes in unsupervised data streams. Expert Syst. Appl. Rosane Maria Maffei Vallim, Rodrigo Fernandes de Mello
2014	J	`jnl`	TS-stream: clustering time series on data streams. J. Intell. Inf. Syst. Cássio M. M. Pereira, Rodrigo Fernandes de Mello
2014	J	`jnl`	Unsupervised density-based behavior change detection in data streams. Intell. Data Anal. Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2013	J	`jnl`	Common Dissimilarity Measures are Inappropriate for Time Series Clustering. RITA Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello
2013	J	`jnl`	Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2013	J	`jnl`	Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2013	J	`jnl`	Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Process. Ricardo Araújo Rios, Rodrigo Fernandes de Mello
2013	J	`jnl`	Intrusion Detection in Unstructured Contexts Using On-line Clustering and Novelty Detection. RITA Eduardo Alves Ferreira, Rodrigo Fernandes de Mello
2013	J	`jnl`	Online behavior change detection in computer games. Expert Syst. Appl. Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho
2012	J	`jnl`	An Online Data Access Prediction and Optimization Approach for Distributed Systems. IEEE Trans. Parallel Distributed Syst. Renato Porfirio Ishii, Rodrigo Fernandes de Mello
2011	J	`jnl`	Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach. Int. J. Comput. Sci. Eng. Renato Porfirio Ishii, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
2011	J	`jnl`	Entropy-Based Approach to Analyze and Classify Mineral Aggregates. J. Comput. Civ. Eng. Lilian Tais de Gouveia, Luciano da Fontoura Costa, Luciano José Senger, Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2011	J	`jnl`	Improving the performance and accuracy of time series modeling based on autonomic computing systems. J. Ambient Intell. Humaniz. Comput. Rodrigo Fernandes de Mello
2011	J	`jnl`	Learning Process Behavior for Fault Detection. Int. J. Artif. Intell. Tools Cássio M. M. Pereira, Rodrigo Fernandes de Mello
2011	B	`conf`	Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu
2010	—	`ch.`	A Self-Organizing Neural Network to Approach Novelty Detection. Intelligent Systems for Automated Learning and Adaptation Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2010	J	`jnl`	A novel approach for distributed application scheduling based on prediction of communication events. Future Gener. Comput. Syst. Evgueni Dodonov, Rodrigo Fernandes de Mello
2010	J	`jnl`	Variation Detection applied in User Signature Verification. RITA Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini
2009	C	`conf`	Behavioral Study of UNIX Commands in a Faulty Environment. DASC Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello
2009	J	`jnl`	Extracting and predicting the communication behaviour of parallel applications. Int. J. Parallel Emergent Distributed Syst. Rodrigo Fernandes de Mello, Evgueni Dodonov, Ricardo Bertagna, Luciano José Senger
2009	J	`jnl`	On modeling and evaluating multicomputer transcoding architectures for live-video streams. Multim. Tools Appl. Rodrigo Fernandes de Mello, Rudinei Goularte, Evgueni Dodonov, Laurence Tianruo Yang, Jong Hyuk Park, Tai-Hoon Kim
2009	J	`jnl`	Prediction of dynamical, nonlinear, and unstable process behavior. J. Supercomput. Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2008	C	`conf`	A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello
2008	J	`jnl`	Grid job scheduling using Route with Genetic Algorithm support. Telecommun. Syst. Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Luciano José Senger, Laurence Tianruo Yang
2008	J	`jnl`	Image indexing and retrieval using an ART-2A neural network architecture. Int. J. Imaging Syst. Technol. Rodrigo Fernandes de Mello, Josiane Maria Bueno, Luciano José Senger, Laurence T. Yang
2008	J	`jnl`	Improving regression testing performance using the Adaptive Resonance Theory-2A self-organising neural network architecture. Int. J. Auton. Adapt. Commun. Syst. Adenilso da Silva Simão, Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
2008	—	`conf`	Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. SBIA Rodrigo Fernandes de Mello, Iker Gondra
2008	C	`conf`	On Simulated Annealing for the Scheduling of Parallel Applications. SBAC-PAD Rodrigo Fernandes de Mello, Luciano José Senger
2008	—	`conf`	Toward an Efficient Middleware for Multithreaded Applications in Computational Grid. CSE Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, Evgueni Dodonov, Luciano José Senger, Laurence Tianruo Yang, Kuan-Ching Li
2007	C	`conf`	A Complex Network-Based Approach for Job Scheduling in Grid Environments. HPCC Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2007	B	`conf`	A Model for Automatic On-Line Process Behavior Extraction, Classification and Prediction in Heterogeneous Distributed Systems. CCGRID Evgueni Dodonov, Rodrigo Fernandes de Mello
2007	—	`conf`	A Model to Estimate Transcoding Costs Applied in Live-Video Transmissions. IPC Rudinei Goularte, Rodrigo Fernandes de Mello, Evgueni Dodonov, Laurence Tianruo Yang
2007	B	`conf`	A New Memory Slowdown Model for the Characterization of Computing Systems. PaCT Rodrigo Fernandes de Mello, Luciano José Senger, Kuan-Ching Li, Laurence Tianruo Yang
2007	Misc	`conf`	A self-organizing neural network for detecting novelties. SAC Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2007	C	`conf`	An Adaptive Audio Quantizer for Voip Systems. ISM Ricardo Bertagna, Rodrigo Fernandes de Mello, Laurence T. Yang
2007	C	`conf`	Exigency-based real-time scheduling policy to provide absolute QoS for web services. SBAC-PAD Lucas S. Casagrande, Rodrigo Fernandes de Mello, Ricardo Bertagna, Jose Augusto Andrade Filho, Francisco José Monaco
2007	C	`conf`	Extraction and Classification of User Behavior. EUC Matheus L. dos Santos, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2007	C	`ed.`	High Performance Computing and Communications, Third International Conference, HPCC 2007, Houston, USA, September 26-28, 2007, Proceedings HPCC Ronald H. Perrott, Barbara M. Chapman, Jaspal Subhlok, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2007	—	`conf`	Model for Automatic Text Classification and Categorization for Image Indexing and Retrieval. IPC Rodrigo Fernandes de Mello, Josiane Maria Bueno, Luciano José Senger, Laurence Tianruo Yang
2007	C	`conf`	Optimizing Distributed Data Access in Grid Environments by Using Artificial Intelligence Techniques. ISPA Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Evgueni Dodonov, Renato Porfirio Ishii, Laurence Tianruo Yang
2007	C	`ed.`	Parallel and Distributed Processing and Applications, 5th International Symposium, ISPA 2007, Niagara Falls, Canada, August 29-31, 2007, Proceedings ISPA Ivan Stojmenovic, Ruppa K. Thulasiram, Laurence Tianruo Yang, Weijia Jia, Minyi Guo, Rodrigo Fernandes de Mello
2007	B	`conf`	RouteGA: A Grid Load Balancing Algorithm with Genetic Support. AINA Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Luciano José Senger, Laurence Tianruo Yang
2006	—	`conf`	A Routing Load Balancing Policy for Grid Computing Environments. AINA (1) Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
2006	—	`conf`	A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture. COMPSAC (2) Adenilso da Silva Simão, Rodrigo Fernandes de Mello, Luciano José Senger
2006	Misc	`conf`	A new method for classifying and searching software components by using a self-organizing neural network architecture. GrC Claudia A. S. Mello, Rodrigo Fernandes de Mello, Marilde Terezinha Prado Santos, Luciano José Senger, Laurence Tianruo Yang
2006	C	`conf`	Adaptive Technique for Automatic Communication Access Pattern Discovery Applied to Data Prefetching in Distributed Applications Using Neural Networks and Stochastic Models. ISPA Evgueni Dodonov, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2006	J	`jnl`	Comparative study of the server-initiated lowest algorithm using a load balancing index based on the process behavior for heterogeneous environment. Clust. Comput. Rodrigo Fernandes de Mello, Luís Carlos Trevelin, Maria Stela V. de Paiva, Laurence Tianruo Yang
2006	—	`conf`	Model for Simulation of Heterogeneous High-Performance Computing Environments. VECPAR Rodrigo Fernandes de Mello, Luciano José Senger
2006	J	`jnl`	Performance Evaluation of Route: A Load Balancing Algorithm for Grid Computing. RITA Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang
2006	C	`conf`	Process Scheduling Using Ant Colony Optimization Techniques. ISPA Bruno Rodrigues Nery, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, Laurence Tianruo Yang
2005	C	`conf`	A Network Evaluation for LAN, MAN and WAN Grid Environments. EUC Evgueni Dodonov, Rodrigo Fernandes de Mello, Laurence Tianruo Yang
2005	C	`conf`	Improving Scheduling Decisions by Using Knowledge About Parallel Applications Resource Usage. HPCC Luciano José Senger, Rodrigo Fernandes de Mello, Marcos José Santana, Regina Helena Carlucci Santana, Laurence Tianruo Yang
2005	J	`jnl`	Improving Scheduling of Communication Intensive Parallel Applications on Heterogeneous Computing Environments. Parallel Process. Lett. Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana, Laurence Tianruo Yang
2005	—	`conf`	Scheduling Based on the Impact over Process Communication of Parallel Applications. HPCS Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana
2004	C	`conf`	A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments. SBAC-PAD Rodrigo Fernandes de Mello, Luciano José Senger
2004	J	`jnl`	Comparative analysis of the prototype and the simulator of a new load balancing algorithm for heterogeneous computing environments. Int. J. High Perform. Comput. Netw. Rodrigo Fernandes de Mello, Luís Carlos Trevelin, Maria Stela V. de Paiva, Laurence Tianruo Yang
2004	J	`jnl`	Proposal of a Tree Load Balancing Algorithm to Grid Computing Environments. IEICE Trans. Inf. Syst. Rodrigo Fernandes de Mello, Erico C. T. de Mattos, Luís Carlos Trevelin, Maria Stela Veludo de Paiva, Laurence Tianruo Yang
2003	—	`—`	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
2002	—	`conf`	Analysis on the Significant Information to Update the Tables on Occupation of Resources by Using a Peer-to-Peer Protocol. HPCS Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga
2002	Misc	`conf`	Model for Resources Load Evaluation in Clusters by Using a Peer-to-Peer Protocol. PDPTA Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga
2002	—	`conf`	OpenTella: A Peer-to-Peer Protocol for the Load Balancing in a System Formed by a Cluster from Clusters. ISHPC Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga
2001	B	`conf`	A Java Cluster Management Service. NCA Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin
2001	—	`conf`	An Environment for Generating Visual Applications Involving Real-Time Remote Procedure Calls. WORDS Renato T. N. Villela, Rodrigo Fernandes de Mello, Célio Estevan Morón
1999	—	`conf`	An Environment for Generating Applications Involving Remote Manipulation of Parallel Machines. IPPS/SPDP Workshops Luciano G. Fagundes, Rodrigo Fernandes de Mello, Célio Estevan Morón