Patrick Marques Ciarelli

Orcid: 0000-0003-3177-4028

According to our database1, Patrick Marques Ciarelli authored at least 45 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting.
Expert Syst. Appl., March, 2024

Identifying ADHD and subtypes through microstates analysis and complex networks.
Medical Biol. Eng. Comput., 2024

2023
Deep learning with spectrogram image of eye movement for biometrics.
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
A New Approach to Enhanced Swarm Intelligence Applied to Video Target Tracking.
Sensors, 2021

ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring.
J. Netw. Syst. Manag., 2021

Supervised kernel density estimation K-means.
Expert Syst. Appl., 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

Outlier Robust Extreme Machine Learning for multi-target regression.
Expert Syst. Appl., 2020

Data Augmentation for improving Hate Speech Detection on Social Networks.
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.
CoRR, 2019

On Machine Learning DoS Attack Identification from Cloud Computing Telemetry.
CoRR, 2019

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

Texture Representation and Classification with Artificial Hikers and Fractals.
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
Recommending Groups to Users based Both on Their Textual and Image Posts.
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

An analysis of automatic human detection and tracking.
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
Multi-label incremental learning applied to web page categorization.
Neural Comput. Appl., 2014

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

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

Impact of the characteristics of data sets on incremental learning.
Artif. Intell. Res., 2013

Recommending the Right Activities based on the Needs of each Student.
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.
Dataset, August, 2012

Modelo de Aprendizado Incremental Baseado em Uma Rede Neural com Arquitetura Adaptativa.
PhD thesis, 2012

An incremental neural network with a reduced architecture.
Neural Networks, 2012

2011
Human automatic detection and tracking for outdoor video.
Integr. Comput. Aided Eng., 2011

2010
An Evolving System Based on Probabilistic Neural Network.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2009
Automated multi-label text categorization with VG-RAM weightless neural networks.
Neurocomputing, 2009

Agglomeration and Elimination of Terms for Dimensionality Reduction.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

An Enhanced Probabilistic Neural Network Approach Applied to Text Classification.
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

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


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