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2020 – today
- 2022
[j55]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: 106706 (2022)- [j54]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): 593-612 (2022) - 2021
- [j53]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): 108011 (2021) - [j52]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): 95-112 (2021) - [j51]Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira:
Coarse-refinement dilemma: On generalization bounds for data clustering. Expert Syst. Appl. 184: 115399 (2021) - [j50]Dezhi Han, Shuli Zhou, Kuan-Ching Li, Rodrigo Fernandes de Mello:
Cross-modality co-attention networks for visual question answering. Soft Comput. 25(7): 5411-5421 (2021) - [c47]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: 753-762 - [i10]Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich:
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles. CoRR abs/2103.10229 (2021) - [i9]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 abs/2106.09170 (2021) - 2020
- [j49]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): 394-417 (2020) - [j48]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): 343 (2020) - [c46]Daniel Moreira Cestari, Rodrigo Fernandes de Mello:
Random Projections and α-Shape to Support the Kernel Design (Student Abstract). AAAI 2020: 13877-13878 - [c45]Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello:
Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) 2020: 529-543 - [c44]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: 650-664 - [c43]Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968 - [i8]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 abs/2006.11381 (2020) - [i7]Lucas de Carvalho Pagliosa, Rodrigo Fernandes de Mello:
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory. CoRR abs/2006.14079 (2020)
2010 – 2019
- 2019
- [j47]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) - [j46]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: 90-102 (2019) - [j45]Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet:
Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. 137: 443-452 (2019) - [j44]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): 1:1-1:12 (2019) - [c42]Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet:
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData 2019: 761-769 - [c41]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Robust Phoneme Recognition with Little Data. SLATE 2019: 4:1-4:11 - [i6]Rodrigo Fernandes de Mello:
On the Shattering Coefficient of Supervised Learning Algorithms. CoRR abs/1911.05461 (2019) - [i5]Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira:
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering. CoRR abs/1911.05806 (2019) - 2018
- [b2]Rodrigo Fernandes de Mello, Moacir Antonelli Ponti:
Machine Learning - A Practical Approach on the Statistical Learning Theory. Springer 2018, ISBN 978-3-319-94988-8, pp. 1-362 - [j43]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: 205-217 (2018) - [j42]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. 11(1): 34-44 (2018) - [j41]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: 53-63 (2018) - [c40]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: 504-509 - [c39]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: 377-383 - [i4]Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira:
Computing the Shattering Coefficient of Supervised Learning Algorithms. CoRR abs/1805.02627 (2018) - [i3]Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti:
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? CoRR abs/1811.08495 (2018) - 2017
- [j40]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: 216-229 (2017) - [j39]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: 15-29 (2017) - [j38]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): 253-272 (2017) - [c38]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: 13-18 - [c37]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. BRACIS 2017: 85-90 - [c36]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: 1031-1036 - [i2]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. CoRR abs/1706.09055 (2017) - [i1]Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti:
Providing theoretical learning guarantees to Deep Learning Networks. CoRR abs/1711.10292 (2017) - 2016
- [j37]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: 39-50 (2016) - [j36]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
PTS: Projected Topological Stream clustering algorithm. Neurocomputing 180: 16-26 (2016) - [j35]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): 64-84 (2016) - [j34]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): 405-419 (2016) - [j33]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): 165-192 (2016) - [j32]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: 159-176 (2016) - 2015
- [j31]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
Persistent homology for time series and spatial data clustering. Expert Syst. Appl. 42(15-16): 6026-6038 (2015) - [j30]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): 1550013:1-1550013:19 (2015) - [j29]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): 155-166 (2015) - [j28]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): 1-10 (2015) - 2014
- [j27]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): 7350-7360 (2014) - [j26]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): 181-201 (2014) - [j25]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
TS-stream: clustering time series on data streams. J. Intell. Inf. Syst. 42(3): 531-566 (2014) - [j24]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): 35-51 (2014) - [c35]Fausto Guzzo da Costa, Rodrigo Fernandes de Mello:
A Stable and Online Approach to Detect Concept Drift in Data Streams. BRACIS 2014: 330-335 - [c34]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
Data Clustering Using Topological Features. BRACIS 2014: 360-365 - 2013
- [j23]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7(4): 435-464 (2013) - [j22]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): 6258-6265 (2013) - [j21]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17(3): 439-457 (2013) - [j20]Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello:
Common Dissimilarity Measures are Inappropriate for Time Series Clustering. RITA 20(1): 25-48 (2013) - [j19]Eduardo Alves Ferreira, Rodrigo Fernandes de Mello:
Intrusion Detection in Unstructured Contexts Using On-line Clustering and Novelty Detection. RITA 20(2): 155-173 (2013) - [j18]Ricardo Araújo Rios, Rodrigo Fernandes de Mello:
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Process. 93(11): 3001-3013 (2013) - 2012
- [j17]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): 1017-1029 (2012) - 2011
- [j16]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
Learning Process Behavior for Fault Detection. Int. J. Artif. Intell. Tools 20(5): 969-980 (2011) - [j15]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): 217-237 (2011) - [j14]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): 11-33 (2011) - [c33]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: 994-997 - 2010
- [j13]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): 740-752 (2010) - [j12]Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini:
Variation Detection applied in User Signature Verification. RITA 17(1): 71-92 (2010) - [p1]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
A Self-Organizing Neural Network to Approach Novelty Detection. Intelligent Systems for Automated Learning and Adaptation 2010: 49-71
2000 – 2009
- 2009
- [j11]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): 109-129 (2009) - [j10]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): 225-242 (2009) - [j9]Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
Prediction of dynamical, nonlinear, and unstable process behavior. J. Supercomput. 49(1): 22-41 (2009) - [c32]Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello:
Behavioral Study of UNIX Commands in a Faulty Environment. DASC 2009: 25-30 - 2008
- [j8]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): 370-385 (2008) - [j7]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): 202-208 (2008) - [j6]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): 147-160 (2008) - [c31]Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello:
A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC 2008: 150-155 - [c30]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: 147-154 - [c29]Rodrigo Fernandes de Mello, Luciano José Senger:
On Simulated Annealing for the Scheduling of Parallel Applications. SBAC-PAD 2008: 29-36 - [c28]Rodrigo Fernandes de Mello, Iker Gondra:
Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. SBIA 2008: 23-32 - 2007
- [c27]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: 885-892 - [c26]Evgueni Dodonov, Rodrigo Fernandes de Mello:
A Model for Automatic On-Line Process Behavior Extraction, Classification and Prediction in Heterogeneous Distributed Systems. CCGRID 2007: 899-904 - [c25]Matheus L. dos Santos, Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
Extraction and Classification of User Behavior. EUC 2007: 493-506 - [c24]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
A Complex Network-Based Approach for Job Scheduling in Grid Environments. HPCC 2007: 204-215 - [c23]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: 333-340 - [c22]Rudinei Goularte, Rodrigo Fernandes de Mello, Evgueni Dodonov, Laurence Tianruo Yang:
A Model to Estimate Transcoding Costs Applied in Live-Video Transmissions. IPC 2007: 341-348 - [c21]Ricardo Bertagna, Rodrigo Fernandes de Mello, Laurence T. Yang:
An Adaptive Audio Quantizer for Voip Systems. ISM 2007: 45-55 - [c20]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: 125-136 - [c19]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: 516-524 - [c18]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
A self-organizing neural network for detecting novelties. SAC 2007: 462-466 - [c17]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: 255-262 - [e2]Ronald H. Perrott, Barbara M. Chapman, Jaspal Subhlok, Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
High Performance Computing and Communications, Third International Conference, HPCC 2007, Houston, USA, September 26-28, 2007, Proceedings. Lecture Notes in Computer Science 4782, Springer 2007, ISBN 978-3-540-75443-5 [contents] - [e1]Ivan Stojmenovic, Ruppa K. Thulasiram, Laurence Tianruo Yang, Weijia Jia, Minyi Guo, Rodrigo Fernandes de Mello:
Parallel and Distributed Processing and Applications, 5th International Symposium, ISPA 2007, Niagara Falls, Canada, August 29-31, 2007, Proceedings. Lecture Notes in Computer Science 4742, Springer 2007, ISBN 978-3-540-74741-3 [contents] - 2006
- [j5]Rodrigo Fernandes de Mello, Luís Carlos Trevelin, Maria Stela V. de Paiva, Laurence Tianruo Yang:
Comparative study of the server-initiated lowest algorithm using a load balancing index based on the process behavior for heterogeneous environment. Clust. Comput. 9(3): 313-319 (2006) - [j4]Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang:
Performance Evaluation of Route: A Load Balancing Algorithm for Grid Computing. RITA 13(1): 87-108 (2006) - [c16]Rodrigo Fernandes de Mello, Luciano José Senger, Laurence Tianruo Yang:
A Routing Load Balancing Policy for Grid Computing Environments. AINA (1) 2006: 153-158 - [c15]Adenilso da Silva Simão, Rodrigo Fernandes de Mello, Luciano José Senger:
A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture. COMPSAC (2) 2006: 93-96 - [c14]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: 136-141 - [c13]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: 292-303 - [c12]Bruno Rodrigues Nery, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, Laurence Tianruo Yang:
Process Scheduling Using Ant Colony Optimization Techniques. ISPA 2006: 304-316 - [c11]Rodrigo Fernandes de Mello, Luciano José Senger:
Model for Simulation of Heterogeneous High-Performance Computing Environments. VECPAR 2006: 107-119 - 2005
- [j3]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana, Laurence Tianruo Yang:
Improving Scheduling of Communication Intensive Parallel Applications on Heterogeneous Computing Environments. Parallel Process. Lett. 15(4): 423-438 (2005) - [c10]Evgueni Dodonov, Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
A Network Evaluation for LAN, MAN and WAN Grid Environments. EUC 2005: 1133-1146 - [c9]Luciano José Senger, Rodrigo Fernandes de Mello, Marcos José Santana, Regina Helena Carlucci Santana, Laurence Tianruo Yang:
Improving Scheduling Decisions by Using Knowledge About Parallel Applications Resource Usage. HPCC 2005: 487-498 - [c8]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana:
Scheduling Based on the Impact over Process Communication of Parallel Applications. HPCS 2005: 149-155 - 2004
- [j2]Rodrigo Fernandes de Mello, Erico C. T. de Mattos, Luís Carlos Trevelin, Maria Stela Veludo de Paiva, Laurence Tianruo Yang:
Proposal of a Tree Load Balancing Algorithm to Grid Computing Environments. IEICE Trans. Inf. Syst. 87-D(7): 1729-1736 (2004) - [j1]Rodrigo Fernandes de Mello, Luís Carlos Trevelin, Maria Stela V. de Paiva, Laurence Tianruo Yang:
Comparative analysis of the prototype and the simulator of a new load balancing algorithm for heterogeneous computing environments. Int. J. High Perform. Comput. Netw. 1(1/2/3): 64-74 (2004) - [c7]Rodrigo Fernandes de Mello, Luciano José Senger:
A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments. SBAC-PAD 2004: 222-227 - 2003
- [b1]Rodrigo Fernandes de Mello:
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). University of São Paulo, Brazil, 2003 - 2002
- [c6]Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga:
Analysis on the Significant Information to Update the Tables on Occupation of Resources by Using a Peer-to-Peer Protocol. HPCS 2002: 229-230 - [c5]Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga:
OpenTella: A Peer-to-Peer Protocol for the Load Balancing in a System Formed by a Cluster from Clusters. ISHPC 2002: 346-353 - [c4]Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin, Adilson Gonzaga:
Model for Resources Load Evaluation in Clusters by Using a Peer-to-Peer Protocol. PDPTA 2002: 475-479 - 2001
- [c3]Rodrigo Fernandes de Mello, Maria Stela V. de Paiva, Luís Carlos Trevelin:
A Java Cluster Management Service. NCA 2001: 238-243 - [c2]