Rodrigo Fernandes de Mello

Orcid: 0000-0002-0435-3992

According to our database1, Rodrigo Fernandes de Mello authored at least 117 papers between 1999 and 2023.

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Bibliography

2023
eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest.
Appl. Soft Comput., February, 2023

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.
ACM Comput. Surv., 2023

2022
Neural network training fingerprint: visual analytics of the training process in classification neural networks.
J. Vis., 2022

Brazilian Forest Dataset: A new dataset to model local biodiversity.
J. Exp. Theor. Artif. Intell., 2022

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.
Inf. Sci., 2022

On supervised learning to model and predict cattle weight in precision livestock breeding.
Comput. Electron. Agric., 2022

2021
Cross-modality co-attention networks for visual question answering.
Soft Comput., 2021

Coarse-refinement dilemma: On generalization bounds for data clustering.
Expert Syst. Appl., 2021

Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles.
CoRR, 2021

Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system.
Connect. Sci., 2021

Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series.
Appl. Soft Comput., 2021

Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020
Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks.
Sensors, 2020

Time series clustering using stochastic and deterministic influences.
Int. J. Comput. Sci. Eng., 2020

Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory.
CoRR, 2020

Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling.
CoRR, 2020

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Data Streams Are Time Series: Challenging Assumptions.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Random Projections and α-Shape to Support the Kernel Design (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Theoretical learning guarantees applied to acoustic modeling.
J. Braz. Comput. Soc., 2019

On learning guarantees to unsupervised concept drift detection on data streams.
Expert Syst. Appl., 2019

Measuring the Shattering coefficient of Decision Tree models.
Expert Syst. Appl., 2019

Decomposing time series into deterministic and stochastic influences: A survey.
Digit. Signal Process., 2019

On the Shattering Coefficient of Supervised Learning Algorithms.
CoRR, 2019

Robust Phoneme Recognition with Little Data.
Proceedings of the 8th Symposium on Languages, Applications and Technologies, 2019

Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Semi-supervised time series classification on positive and unlabeled problems using cross-recurrence quantification analysis.
Pattern Recognit., 2018

Estimating data stream tendencies to adapt clustering parameters.
Int. J. High Perform. Comput. Netw., 2018

Designing architectures of convolutional neural networks to solve practical problems.
Expert Syst. Appl., 2018

Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?
CoRR, 2018

Computing the Shattering Coefficient of Supervised Learning Algorithms.
CoRR, 2018

Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Time Series Decomposition Using Spring System Applied on Phase Spaces.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Machine Learning - A Practical Approach on the Statistical Learning Theory
Springer, ISBN: 978-3-319-94988-8, 2018

2017
Is Even Data Analysis Ready Today?
Int. J. Unconv. Comput., 2017

Applying a kernel function on time-dependent data to provide supervised-learning guarantees.
Expert Syst. Appl., 2017

Multidimensional surrogate stability to detect data stream concept drift.
Expert Syst. Appl., 2017

Providing theoretical learning guarantees to Deep Learning Networks.
CoRR, 2017

TSViz: a data stream architecture to online collect, analyze, and visualize tweets.
Proceedings of the Symposium on Applied Computing, 2017

Acoustic Modeling Using a Shallow CNN-HTSVM Architecture.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Analyzing the Public Opinion on the Brazilian Political and Corruption Issues.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals.
Signal Process., 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.
RITA, 2016

Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems.
Int. J. Parallel Emergent Distributed Syst., 2016

Application execution path analysis for the automatic parallelisation of binary codes in the Intel x86 platform.
Int. J. Parallel Emergent Distributed Syst., 2016

PTS: Projected Topological Stream clustering algorithm.
Neurocomputing, 2016

Using dynamical systems tools to detect concept drift in data streams.
Expert Syst. Appl., 2016

2015
Unsupervised change detection in data streams: an application in music analysis.
Prog. Artif. Intell., 2015

Modelling distributed computing workloads to support the study of scheduling decisions.
Int. J. Comput. Sci. Eng., 2015

Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series.
Int. J. Bifurc. Chaos, 2015

Persistent homology for time series and spatial data clustering.
Expert Syst. Appl., 2015

2014
Localized Ant Colony of Robots for Redeployment in Wireless Sensor Networks.
J. Multiple Valued Log. Soft Comput., 2014

TS-stream: clustering time series on data streams.
J. Intell. Inf. Syst., 2014

Unsupervised density-based behavior change detection in data streams.
Intell. Data Anal., 2014

Proposal of a new stability concept to detect changes in unsupervised data streams.
Expert Syst. Appl., 2014

Data Clustering Using Topological Features.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

A Stable and Online Approach to Detect Concept Drift in Data Streams.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences.
Signal Process., 2013

Common Dissimilarity Measures are Inappropriate for Time Series Clustering.
RITA, 2013

Intrusion Detection in Unstructured Contexts Using On-line Clustering and Novelty Detection.
RITA, 2013

Data stream dynamic clustering supported by Markov chain isomorphisms.
Intell. Data Anal., 2013

Online behavior change detection in computer games.
Expert Syst. Appl., 2013

Energy-based function to evaluate data stream clustering.
Adv. Data Anal. Classif., 2013

2012
An Online Data Access Prediction and Optimization Approach for Distributed Systems.
IEEE Trans. Parallel Distributed Syst., 2012

2011
Entropy-Based Approach to Analyze and Classify Mineral Aggregates.
J. Comput. Civ. Eng., 2011

Improving the performance and accuracy of time series modeling based on autonomic computing systems.
J. Ambient Intell. Humaniz. Comput., 2011

Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach.
Int. J. Comput. Sci. Eng., 2011

Learning Process Behavior for Fault Detection.
Int. J. Artif. Intell. Tools, 2011

Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Variation Detection applied in User Signature Verification.
RITA, 2010

A novel approach for distributed application scheduling based on prediction of communication events.
Future Gener. Comput. Syst., 2010

A Self-Organizing Neural Network to Approach Novelty Detection.
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010

2009
Prediction of dynamical, nonlinear, and unstable process behavior.
J. Supercomput., 2009

Extracting and predicting the communication behaviour of parallel applications.
Int. J. Parallel Emergent Distributed Syst., 2009

On modeling and evaluating multicomputer transcoding architectures for live-video streams.
Multim. Tools Appl., 2009

Behavioral Study of UNIX Commands in a Faulty Environment.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009

2008
Grid job scheduling using Route with Genetic Algorithm support.
Telecommun. Syst., 2008

Image indexing and retrieval using an ART-2A neural network architecture.
Int. J. Imaging Syst. Technol., 2008

Improving regression testing performance using the Adaptive Resonance Theory-2A self-organising neural network architecture.
Int. J. Auton. Adapt. Commun. Syst., 2008

Multi-Dimensional Dynamic Time Warping for Image Texture Similarity.
Proceedings of the Advances in Artificial Intelligence, 2008

On Simulated Annealing for the Scheduling of Parallel Applications.
Proceedings of the 20th International Symposium on Computer Architecture and High Performance Computing, 2008

Toward an Efficient Middleware for Multithreaded Applications in Computational Grid.
Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, 2008

A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

2007
Exigency-based real-time scheduling policy to provide absolute QoS for web services.
Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007

A self-organizing neural network for detecting novelties.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

A New Memory Slowdown Model for the Characterization of Computing Systems.
Proceedings of the Parallel Computing Technologies, 2007

Optimizing Distributed Data Access in Grid Environments by Using Artificial Intelligence Techniques.
Proceedings of the Parallel and Distributed Processing and Applications, 2007

An Adaptive Audio Quantizer for Voip Systems.
Proceedings of the Ninth IEEE International Symposium on Multimedia, 2007

Model for Automatic Text Classification and Categorization for Image Indexing and Retrieval.
Proceedings of the 2007 International Conference on Intelligent Pervasive Computing, 2007

A Model to Estimate Transcoding Costs Applied in Live-Video Transmissions.
Proceedings of the 2007 International Conference on Intelligent Pervasive Computing, 2007

A Complex Network-Based Approach for Job Scheduling in Grid Environments.
Proceedings of the High Performance Computing and Communications, 2007

Extraction and Classification of User Behavior.
Proceedings of the Embedded and Ubiquitous Computing, International Conference, 2007

A Model for Automatic On-Line Process Behavior Extraction, Classification and Prediction in Heterogeneous Distributed Systems.
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

RouteGA: A Grid Load Balancing Algorithm with Genetic Support.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
Performance Evaluation of Route: A Load Balancing Algorithm for Grid Computing.
RITA, 2006

Comparative study of the server-initiated lowest algorithm using a load balancing index based on the process behavior for heterogeneous environment.
Clust. Comput., 2006

Model for Simulation of Heterogeneous High-Performance Computing Environments.
Proceedings of the High Performance Computing for Computational Science, 2006

Process Scheduling Using Ant Colony Optimization Techniques.
Proceedings of the Parallel and Distributed Processing and Applications, 2006

Adaptive Technique for Automatic Communication Access Pattern Discovery Applied to Data Prefetching in Distributed Applications Using Neural Networks and Stochastic Models.
Proceedings of the Parallel and Distributed Processing and Applications, 2006

A new method for classifying and searching software components by using a self-organizing neural network architecture.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture.
Proceedings of the 30th Annual International Computer Software and Applications Conference, 2006

A Routing Load Balancing Policy for Grid Computing Environments.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005
Improving Scheduling of Communication Intensive Parallel Applications on Heterogeneous Computing Environments.
Parallel Process. Lett., 2005

Scheduling Based on the Impact over Process Communication of Parallel Applications.
Proceedings of the 19th Annual International Symposium on High Performance Computing Systems and Applications (HPCS 2005), 2005

Improving Scheduling Decisions by Using Knowledge About Parallel Applications Resource Usage.
Proceedings of the High Performance Computing and Communications, 2005

A Network Evaluation for LAN, MAN and WAN Grid Environments.
Proceedings of the Embedded and Ubiquitous Computing, 2005

2004
Comparative analysis of the prototype and the simulator of a new load balancing algorithm for heterogeneous computing environments.
Int. J. High Perform. Comput. Netw., 2004

Proposal of a Tree Load Balancing Algorithm to Grid Computing Environments.
IEICE Trans. Inf. Syst., 2004

A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments.
Proceedings of the 16th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2004), 2004

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).
PhD thesis, 2003

2002
Model for Resources Load Evaluation in Clusters by Using a Peer-to-Peer Protocol.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

OpenTella: A Peer-to-Peer Protocol for the Load Balancing in a System Formed by a Cluster from Clusters.
Proceedings of the High Performance Computing, 4th International Symposium, 2002

Analysis on the Significant Information to Update the Tables on Occupation of Resources by Using a Peer-to-Peer Protocol.
Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002

2001
An Environment for Generating Visual Applications Involving Real-Time Remote Procedure Calls.
Proceedings of the 6th Workshop on Object-Oriented Real-Time Dependable Systems (WORDS 2001), 2001

A Java Cluster Management Service.
Proceedings of the IEEE International Symposium on Network Computing and Applications (NCA 2001), 2001

1999
An Environment for Generating Applications Involving Remote Manipulation of Parallel Machines.
Proceedings of the Parallel and Distributed Processing, 1999


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