Patrick Marques Ciarelli

According to our database, Patrick Marques Ciarelli authored at least 47 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting.

Ana Paula Miranda Diniz, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Klaus Fabian Côco

Expert Syst. Appl., March, 2024

Identifying ADHD and subtypes through microstates analysis and complex networks.

Lorraine Marques Alves, Klaus Fabian Côco, Mariane Lima de Souza, Patrick Marques Ciarelli

Medical Biol. Eng. Comput., 2024

Time series clustering to improve one-class classifier performance.

André Paulo Ferreira Machado, Celso José Munaro, Patrick Marques Ciarelli, Ricardo Emanuel Vaz Vargas

Expert Syst. Appl., 2024

A fast online stacked regressor to handle concept drifts.

Bruno Légora Souza da Silva, Patrick Marques Ciarelli

Eng. Appl. Artif. Intell., 2024

2023

Deep learning with spectrogram image of eye movement for biometrics.

Antonio Ricardo Alexandre Brasil, Patrick Marques Ciarelli, Izabella Martins da Costa Rodrigues, Jefferson Oliveira Andrade, Karin Satie Komati

Int. J. Biom., 2023

2022

An annotated image database of building facades categorized into land uses for object detection using deep learning.

Frederico Damasceno Bortoloti, Jonivane Tavares, Thomas Walter Rauber, Patrick Marques Ciarelli, Rayane Cardozo Gama Botelho

Mach. Vis. Appl., 2022

2021

A New Approach to Enhanced Swarm Intelligence Applied to Video Target Tracking.

Edwards Cerqueira de Castro, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Sensors, 2021

ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring.

João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça

J. Netw. Syst. Manag., 2021

Supervised kernel density estimation K-means.

Frederico Damasceno Bortoloti, Elias de Oliveira, Patrick Marques Ciarelli

Expert Syst. Appl., 2021

Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning.

Lígia Iunes Venturott, Patrick Marques Ciarelli

Proceedings of the Progress in Artificial Intelligence, 2021

2020

A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification.

Lucas de Assis Soares, Klaus Fabian Côco, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles

Sensors, 2020

Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems.

Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Neural Networks, 2020

Outlier Robust Extreme Machine Learning for multi-target regression.

Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Expert Syst. Appl., 2020

Data Augmentation for improving Hate Speech Detection on Social Networks.

Lígia Iunes Venturott, Patrick Marques Ciarelli

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

2019

Outlier Robust Extreme Learning Machine for Multi-Target Regression.

Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

CoRR, 2019

On Machine Learning DoS Attack Identification from Cloud Computing Telemetry.

João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça

CoRR, 2019

Novelty Detection in Social Media by Fusing Text and Image Into a Single Structure.

Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Evandro O. T. Salles, Daniel Cruz Cavalieri

IEEE Access, 2019

2018

Modification in the SAR Super-Resolution Model Using the Fractal Descriptor LMME in the Term Regularizer.

Vitor F. Campana, Klaus F. Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

IEEE Access, 2018

Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks.

Daniel Luis Cosmo, Thaís Pedruzzi do Nascimento, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Analysing rotation-invariance of a log-polar transformation in convolutional neural networks.

Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Texture Representation and Classification with Artificial Hikers and Fractals.

Lucas de Assis Soares, Klaus Fabian Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Identification of Corrosive Substances through Electrochemical Noise using Wavelet and Recurrence Quantification Analysis.

Lorraine Marques Alves, Romulo Almeida Cotta, Adilson Ribeiro Prado, Patrick Marques Ciarelli

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Identification of Types of Corrosion through Electrochemical Noise using Machine Learning Techniques.

Lorraine Marques Alves, Romulo Almeida Cotta, Patrick Marques Ciarelli

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016

Recommending Groups to Users based Both on Their Textual and Image Posts.

Elias Oliveira, Howard Roatti, Gustavo Ramos Lima, Patrick Marques Ciarelli

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Achieving semi-supervised incremental learning with Learn++ and simple recycled selection.

Frederico Damasceno Bortoloti, Patrick Marques Ciarelli

Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

2015

Achieving a compromise between performance and complexity of structure: An incremental approach.

Patrick Marques Ciarelli, Elias Oliveira

Inf. Sci., 2015

An analysis of automatic human detection and tracking.

Philipe Rangel Demuth, Daniel Luiz Cosmo, Patrick Marques Ciarelli

Proceedings of the Eighth International Conference on Machine Vision, 2015

Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets.

Elias Oliveira, Howard Roatti, Matheus de Araujo Nogueira, Henrique Gomes Basoni, Patrick Marques Ciarelli

Proceedings of the KDIR 2015, 2015

2014

Multi-label incremental learning applied to web page categorization.

Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles

Neural Comput. Appl., 2014

Pedestrian detection system based on HOG and a modified version of CSS.

Daniel Luis Cosmo, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Proceedings of the Seventh International Conference on Machine Vision, 2014

Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification.

Elias Oliveira, Henrique Gomes Basoni, Marcos Rodrigues Saude, Patrick Marques Ciarelli

Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

A strategy for automatic moderation of a large data set of users comments.

Marcos Rodrigues Saude, Marcelo de Medeiros Soares, Henrique Gomes Basoni, Patrick Marques Ciarelli, Elias Oliveira

Proceedings of the XL Latin American Computing Conference, 2014

2013

Recommendation of programming activities by multi-label classification for a formative assessment of students.

Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli, Elias Oliveira

Expert Syst. Appl., 2013

Impact of the characteristics of data sets on incremental learning.

Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles

Artif. Intell. Res., 2013

Recommending the Right Activities based on the Needs of each Student.

Elias Oliveira, Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli

Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

2012

CNAE-9.

Patrick Marques Ciarelli, Elias Oliveira

Dataset, August, 2012

Modelo de Aprendizado Incremental Baseado em Uma Rede Neural com Arquitetura Adaptativa.

Patrick Marques Ciarelli

PhD thesis, 2012

An incremental neural network with a reduced architecture.

Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles

Neural Networks, 2012

2011

Human automatic detection and tracking for outdoor video.

Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira

Integr. Comput. Aided Eng., 2011

2010

An Evolving System Based on Probabilistic Neural Network.

Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2009

Automated multi-label text categorization with VG-RAM weightless neural networks.

Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese, Claudine Badue

Neurocomputing, 2009

Agglomeration and Elimination of Terms for Dimensionality Reduction.

Patrick Marques Ciarelli, Elias Oliveira

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

An Enhanced Probabilistic Neural Network Approach Applied to Text Classification.

Patrick Marques Ciarelli, Elias Oliveira

Proceedings of the Progress in Pattern Recognition, 2009

2008

Avaliação do desempenho do algoritmo ML-kNN em classificação de textos livres de atividades econômicas.

Elias Oliveira, Patrick Marques Ciarelli, Felipe Pedroni, Wallace Favoreto Henrique, Lucas de Paula Veronese

Proceedings of the Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web, 2008

Using a Probabilistic Neural Network for a Large Multi-label Problem.

Elias Oliveira, Patrick Marques Ciarelli, Alberto Ferreira de Souza, Claudine Badue

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

A Comparison between a KNN Based Approach and a PNN Algorithm for a Multi-label Classification Problem.

Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, Alberto Ferreira de Souza

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

2007

Automated Free Text Classification of Economic Activities Using VG-RAM Weightless Neural Networks.

Alberto F. De Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007