Patrick Marques Ciarelli
Orcid: 0000-0003-3177-4028
According to our database1,
Patrick Marques Ciarelli
authored at least 47 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting.
Expert Syst. Appl., March, 2024
Medical Biol. Eng. Comput., 2024
Expert Syst. Appl., 2024
Eng. Appl. Artif. Intell., 2024
2023
Int. J. Biom., 2023
2022
An annotated image database of building facades categorized into land uses for object detection using deep learning.
Mach. Vis. Appl., 2022
2021
Sensors, 2021
ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring.
J. Netw. Syst. Manag., 2021
Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning.
Proceedings of the Progress in Artificial Intelligence, 2021
2020
A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification.
Sensors, 2020
Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems.
Neural Networks, 2020
Expert Syst. Appl., 2020
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
2019
CoRR, 2019
IEEE Access, 2019
2018
Modification in the SAR Super-Resolution Model Using the Fractal Descriptor LMME in the Term Regularizer.
IEEE Access, 2018
Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Analysing rotation-invariance of a log-polar transformation in convolutional neural networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Identification of Corrosive Substances through Electrochemical Noise using Wavelet and Recurrence Quantification Analysis.
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.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
2016
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.
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.
Inf. Sci., 2015
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.
Proceedings of the KDIR 2015, 2015
2014
Neural Comput. Appl., 2014
Proceedings of the Seventh International Conference on Machine Vision, 2014
Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014
Proceedings of the XL Latin American Computing Conference, 2014
2013
Recommendation of programming activities by multi-label classification for a formative assessment of students.
Expert Syst. Appl., 2013
Artif. Intell. Res., 2013
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
Modelo de Aprendizado Incremental Baseado em Uma Rede Neural com Arquitetura Adaptativa.
PhD thesis, 2012
2011
Integr. Comput. Aided Eng., 2011
2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
2009
Neurocomputing, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Progress in Pattern Recognition, 2009
2008
Avaliação do desempenho do algoritmo ML-kNN em classificação de textos livres de atividades econômicas.
Proceedings of the Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web, 2008
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.
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.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007