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2020 – today
- 2023
[j60]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: 109976 (2023)- [j59]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): 75:1-75:42 (2023) - 2022
- [j58]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) - [j57]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: 638-653 (2022) - [j56]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): 327-354 (2022) - [j55]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
- [j54]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) - [j53]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) - [j52]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) - [j51]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
- [j50]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) - [j49]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
- [j48]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) - [j47]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) - [j46]Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet:
Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. 137: 443-452 (2019) - [j45]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 - [j44]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) - [j43]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) - [j42]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
- [j41]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) - [j40]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) - [j39]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
- [j38]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) - [j37]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
PTS: Projected Topological Stream clustering algorithm. Neurocomputing 180: 16-26 (2016) - [j36]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) - [j35]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) - [j34]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) - [j33]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
- [j32]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) - [j31]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) - [j30]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) - [j29]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
- [j28]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) - [j27]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) - [j26]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) - [j25]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
- [j24]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7(4): 435-464 (2013) - [j23]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) - [j22]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17(3): 439-457 (2013) - [j21]Cássio Martini Martins Pereira, Rodrigo Fernandes de Mello:
Common Dissimilarity Measures are Inappropriate for Time Series Clustering. RITA 20(1): 25-48 (2013) - [j20]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) - [j19]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
- [j18]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
- [j17]Cássio M. M. Pereira, Rodrigo Fernandes de Mello:
Learning Process Behavior for Fault Detection. Int. J. Artif. Intell. Tools 20(5): 969-980 (2011) - [j16]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) - [j15]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) - [j14]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): 75-84 (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]Renato T. N. Villela, Rodrigo Fernandes de Mello, Célio Estevan Morón:
An Environment for Generating Visual Applications Involving Real-Time Remote Procedure Calls. WORDS 2001: 233-239
1990 – 1999
- 1999
- [c1]Luciano G. Fagundes, Rodrigo Fernandes de Mello, Célio Estevan Morón:
An Environment for Generating Applications Involving Remote Manipulation of Parallel Machines. IPPS/SPDP Workshops 1999: 395-399
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Laurence T. Yang
aka: Laurence Tianruo Yang
aka: Laurence Tianruo Yang
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 22:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
