Patrick Marques Ciarelli

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Venues

Universidade Federal do Espírito Santo, Brazil (PHD)

Education History

Universidade Federal do Espírito Santo, Brazil

PHD

Publications

Ana Paula Miranda Diniz, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Klaus Fabian Côco
Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting. Expert Syst. Appl. 238 (Part C) (2024)
Lorraine Marques Alves, Klaus Fabian Côco, Mariane Lima de Souza, Patrick Marques Ciarelli
Identifying ADHD and subtypes through microstates analysis and complex networks. Medical Biol. Eng. Comput. 62 (3) (2024)
Antonio Ricardo Alexandre Brasil, Patrick Marques Ciarelli, Izabella Martins da Costa Rodrigues, Jefferson Oliveira Andrade, Karin Satie Komati
Deep learning with spectrogram image of eye movement for biometrics. Int. J. Biom. 15 (6) (2023)
Frederico Damasceno Bortoloti, Jonivane Tavares, Thomas Walter Rauber, Patrick Marques Ciarelli, Rayane Cardozo Gama Botelho
An annotated image database of building facades categorized into land uses for object detection using deep learning. Mach. Vis. Appl. 33 (5) (2022)
João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça
ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring. J. Netw. Syst. Manag. 29 (2) (2021)
Edwards Cerqueira de Castro, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
A New Approach to Enhanced Swarm Intelligence Applied to Video Target Tracking. Sensors 21 (5) (2021)
Frederico Damasceno Bortoloti, Elias de Oliveira, Patrick Marques Ciarelli
Supervised kernel density estimation K-means. Expert Syst. Appl. 168 (2021)
Lígia Iunes Venturott, Patrick Marques Ciarelli
Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning. EPIA (2021)
Lígia Iunes Venturott, Patrick Marques Ciarelli
Data Augmentation for improving Hate Speech Detection on Social Networks. WebMedia (2020)
Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Outlier Robust Extreme Machine Learning for multi-target regression. Expert Syst. Appl. 140 (2020)
Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems. Neural Networks 131 (2020)
Lucas de Assis Soares, Klaus Fabian Côco, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles
A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification. Sensors 20 (18) (2020)
João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça
On Machine Learning DoS Attack Identification from Cloud Computing Telemetry. CoRR (2019)
Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Outlier Robust Extreme Learning Machine for Multi-Target Regression. CoRR (2019)
Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Evandro O. T. Salles, Daniel Cruz Cavalieri
Novelty Detection in Social Media by Fusing Text and Image Into a Single Structure. IEEE Access 7 (2019)
Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza
Analysing rotation-invariance of a log-polar transformation in convolutional neural networks. IJCNN (2018)
Daniel Luis Cosmo, Thaís Pedruzzi do Nascimento, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks. IJCNN (2018)
Lucas de Assis Soares, Klaus Fabian Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Texture Representation and Classification with Artificial Hikers and Fractals. CEC (2018)
Vitor F. Campana, Klaus F. Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Modification in the SAR Super-Resolution Model Using the Fractal Descriptor LMME in the Term Regularizer. IEEE Access 6 (2018)
Lorraine Marques Alves, Romulo Almeida Cotta, Adilson Ribeiro Prado, Patrick Marques Ciarelli
Identification of Corrosive Substances through Electrochemical Noise using Wavelet and Recurrence Quantification Analysis. ICPRAM (2017)
Lorraine Marques Alves, Romulo Almeida Cotta, Patrick Marques Ciarelli
Identification of Types of Corrosion through Electrochemical Noise using Machine Learning Techniques. ICPRAM (2017)
Elias Oliveira, Howard Roatti, Gustavo Ramos Lima, Patrick Marques Ciarelli
Recommending Groups to Users based Both on Their Textual and Image Posts. KDIR (2016)
Frederico Damasceno Bortoloti, Patrick Marques Ciarelli
Achieving semi-supervised incremental learning with Learn++ and simple recycled selection. EAIS (2016)
Philipe Rangel Demuth, Daniel Luiz Cosmo, Patrick Marques Ciarelli
An analysis of automatic human detection and tracking. ICMV (2015)
Elias Oliveira, Howard Roatti, Matheus de Araujo Nogueira, Henrique Gomes Basoni, Patrick Marques Ciarelli
Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets. KDIR (2015)
Patrick Marques Ciarelli, Elias Oliveira
Achieving a compromise between performance and complexity of structure: An incremental approach. Inf. Sci. 294 (2015)
Daniel Luis Cosmo, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
Pedestrian detection system based on HOG and a modified version of CSS. ICMV (2014)
Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
Multi-label incremental learning applied to web page categorization. Neural Comput. Appl. 24 (6) (2014)
Elias Oliveira, Henrique Gomes Basoni, Marcos Rodrigues Saude, Patrick Marques Ciarelli
Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification. KDIR (2014)
Marcos Rodrigues Saude, Marcelo de Medeiros Soares, Henrique Gomes Basoni, Patrick Marques Ciarelli, Elias Oliveira
A strategy for automatic moderation of a large data set of users comments. CLEI (2014)
Elias Oliveira, Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli
Recommending the Right Activities based on the Needs of each Student. KDIR/KMIS (2013)
Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
Impact of the characteristics of data sets on incremental learning. Artif. Intell. Res. 2 (4) (2013)
Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli, Elias Oliveira
Recommendation of programming activities by multi-label classification for a formative assessment of students. Expert Syst. Appl. 40 (16) (2013)
Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
An incremental neural network with a reduced architecture. Neural Networks 35 (2012)
Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira
Human automatic detection and tracking for outdoor video. Integr. Comput. Aided Eng. 18 (4) (2011)
Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira
An Evolving System Based on Probabilistic Neural Network. SBRN (2010)
Patrick Marques Ciarelli, Elias Oliveira
Agglomeration and Elimination of Terms for Dimensionality Reduction. ISDA (2009)
Patrick Marques Ciarelli, Elias Oliveira
An Enhanced Probabilistic Neural Network Approach Applied to Text Classification. CIARP (2009)
Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese, Claudine Badue
Automated multi-label text categorization with VG-RAM weightless neural networks. Neurocomputing 72 (10-12) (2009)
Elias Oliveira, Patrick Marques Ciarelli, Felipe Pedroni, Wallace Favoreto Henrique, Lucas de Paula Veronese
Avaliação do desempenho do algoritmo ML-kNN em classificação de textos livres de atividades econômicas. WebMedia (Companion) (2008)
Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, Alberto Ferreira de Souza
A Comparison between a KNN Based Approach and a PNN Algorithm for a Multi-label Classification Problem. ISDA (2) (2008)
Elias Oliveira, Patrick Marques Ciarelli, Alberto Ferreira de Souza, Claudine Badue
Using a Probabilistic Neural Network for a Large Multi-label Problem. SBRN (2008)
Alberto F. De Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese
Automated Free Text Classification of Economic Activities Using VG-RAM Weightless Neural Networks. ISDA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Patrick Marques Ciarelli