Patrick Marques Ciarelli

发表

Multi-label incremental learning applied to web page categorization

Elias Oliveira, Patrick Marques Ciarelli, Evandro O. T. Salles, 2013, Neural Computing and Applications.

Industrial Optical Character Recognition System in Printing Quality Control of Hot-Rolled Coils Identification

Patrick Marques Ciarelli, Thais Caldeira, Gentil Auer Neto, 2020 .

Texture Representation and Classification with Artificial Hikers and Fractals

Patrick Marques Ciarelli, Evandro O. T. Salles, Lucas de Assis Soares, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Feature extraction in an ensemble of multiple local classifiers for fault diagnosis in industrial processes

Patrick Marques Ciarelli, Gustavo B. Santi, Arthur A. Assis, 2019 .

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

Alberto Ferreira de Souza, Elias Oliveira, Patrick Marques Ciarelli, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Evaluating the Performance of a Centroid-Based Probabilistic Neural Network

Elias Oliveira, Patrick Marques Ciarelli, 2009, 2009 Seventh Brazilian Symposium in Information and Human Language Technology.

Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks

Patrick Marques Ciarelli, Evandro O. T. Salles, Daniel Luis Cosmo, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

An analysis of automatic human detection and tracking

Patrick Marques Ciarelli, Philipe Rangel Demuth, Daniel Luiz Cosmo, 2015, International Conference on Machine Vision.

An Evolving System Based on Probabilistic Neural Network

Elias Oliveira, Patrick Marques Ciarelli, Evandro O. T. Salles, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Recommending the Right Activities based on the Needs of each Student

Márcia Gonçalves de Oliveira, Elias Oliveira, Patrick Marques Ciarelli, 2013, KDIR/KMIS.

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

Elias Oliveira, Patrick Marques Ciarelli, Henrique Gomes Basoni, 2014, KDIR.

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

Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Marta Amorim, 2019, IEEE Access.

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

Alberto Ferreira de Souza, Patrick Marques Ciarelli, Frederico Damasceno Bortoloti, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multi-Label Text Categorization Using a Probabilistic Neural Network

Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, 2009 .

Identification of Corrosive Substances and Types of Corrosion Through Electrochemical Noise Using Signal Processing and Machine Learning

Patrick Marques Ciarelli, Evandro O. T. Salles, Jorge L. A. Samatelo, 2018, Journal of Control, Automation and Electrical Systems.

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

Patrick Marques Ciarelli, Evandro O. T. Salles, Daniel Luis Cosmo, 2015, Other Conferences.

An incremental neural network with a reduced architecture

Elias Oliveira, Patrick Marques Ciarelli, Evandro O. T. Salles, 2012, Neural Networks.

Wavelet Analysis Applied on EEG Signals for Identification of Preictal States in Epileptic Patients

Patrick Marques Ciarelli, Klaus Fabian Côco, Jade Barbosa Kill, 2020, Brazilian Applied Science Review.

Particle Swarm Optimization Applied to Parameters Learning of Probabilistic Neural Networks for Classification of Economic Activities

Elias Oliveira, Patrick Marques Ciarelli, Renato A. Krohling, 2009 .

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

Alberto Ferreira de Souza, Elias Oliveira, Patrick Marques Ciarelli, 2008, 2008 10th Brazilian Symposium on Neural Networks.

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

Elias Oliveira, Patrick Marques Ciarelli, Howard Roatti, 2016, KDIR.

Discrimination of Interictal and Preictal States Using Wavelet Analysis on EEG Signals of Patients with Intractable Convulsions

Patrick Marques Ciarelli, Anselmo Frizera, Klaus Fabian Coco, 2019, Anais do 14º Simpósio Brasileiro de Automação Inteligente.

Classifying Texture Images Using Artificial Agents, Fractal Dimension and Extreme Learning Machines

Patrick Marques Ciarelli, Lucas de Assis Soares, Klaus Fabian Coco, 2018 .

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

Patrick Marques Ciarelli, 2012 .

Using the cluster-based tree structure of k-nearest neighbor to reduce the effort required to classify unlabeled large datasets

Elias Oliveira, Patrick Marques Ciarelli, Henrique Gomes Basoni, 2015, 2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K).

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

Patrick Marques Ciarelli, Lucas de Assis Soares, Evandro Ottoni Teatini Salles, 2020, Sensors.

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

Patrick Marques Ciarelli, Lorraine Marques Alves, Romulo Almeida Cotta, 2017, ICPRAM.

Impact of the characteristics of data sets on incremental learning

Elias Oliveira, Patrick Marques Ciarelli, Evandro O. T. Salles, 2013, Artif. Intell. Res..

UM MODELO ALGÉBRICO PARA REPRESENTAÇÃO, INDEXAÇÃO E CLASSIFICAÇÃO AUTOMÁTICA DE DOCUMENTOS DIGITAIS *

Patrick Marques Ciarelli, Marcos Hércules dos Santos, Elias Oliveira, 2007 .

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

Elias Oliveira, Patrick Marques Ciarelli, Lucas de Paula Veronese, 2008 .

A realistic and public dataset with rare undesirable real events in oil wells

Patrick Marques Ciarelli, Celso J. Munaro, André Gonçalves Medeiros, 2019, Journal of Petroleum Science and Engineering.

Combinando Fatores de Ponderac ¸ ˜ ao para Melhorar a Classificac ¸ ˜ ao de Textos

Elias Oliveira, Patrick Marques Ciarelli, Frederico P. de Souza, 2014 .

Data for: A Realistic and Public Dataset with Rare Undesirable Real Events in Oil Wells

Patrick Marques Ciarelli, Celso J. Munaro, André Gonçalves Medeiros, 2019 .

An Enhanced Probabilistic Neural Network Approach Applied to Text Classification

Elias Oliveira, Patrick Marques Ciarelli, P. M. Ciarelli, 2009, CIARP.

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

Patrick Marques Ciarelli, Frederico Damasceno Bortoloti, P. M. Ciarelli, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Outlier Robust Extreme Learning Machine for Multi-Target Regression pdf

Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Fernando Kentaro Inaba, 2019, ArXiv.

Agglomeration and Elimination of Terms for Dimensionality Reduction

Elias Oliveira, Patrick Marques Ciarelli, P. M. Ciarelli, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

An Evolving System in the Text Classification Problem

Elias Oliveira, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, 2013 .

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

Elias Oliveira, Patrick Marques Ciarelli, Henrique Gomes Basoni, 2014, 2014 XL Latin American Computing Conference (CLEI).

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

Patrick Marques Ciarelli, Evandro O. T. Salles, Fernando Kentaro Inaba, 2020, Neural Networks.

Use of Deep Learning for Firearms Detection in Images

Raquel Frizera Vassallo, Patrick Marques Ciarelli, Guilherme Vinı́cius Simões Cardoso, 2019 .

Supervised kernel density estimation K-means

Elias Oliveira, Patrick Marques Ciarelli, Frederico Damasceno Bortoloti, 2020, Expert Syst. Appl..

RASTREAMENTO DE ALVOS EM VÍDEO VIA ALGORITMO SHUFFLED FROG LEAPING OPTIMIZATION

Patrick Marques Ciarelli, Edwards Cerqueira de Castro, Evandro Otoni Teatini Salles, 2018 .

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

Alberto Ferreira de Souza, Elias Oliveira, Patrick Marques Ciarelli, 2009, Neurocomputing.

On Machine Learning DoS Attack Identification from Cloud Computing Telemetry pdf

Rodolfo da Silva Villaça, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, 2019, ArXiv.

Human automatic detection and tracking for outdoor video

Elias Oliveira, Patrick Marques Ciarelli, Evandro O. T. Salles, 2011, Integr. Comput. Aided Eng..

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

Márcia Gonçalves de Oliveira, Elias Oliveira, Patrick Marques Ciarelli, 2013, Expert Syst. Appl..

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

Alberto Ferreira de Souza, Elias Oliveira, Patrick Marques Ciarelli, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Implementation in C+CUDA of Multi-Label Text Categorizers

Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, 2008 .

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

Patrick Marques Ciarelli, Lorraine Marques Alves, Romulo Almeida Cotta, 2017, ICPRAM.

Automated Time Up and Go Test with Redundant IMU System

Teodiano Bastos, Patrick Marques Ciarelli, Anselmo Frizera Neto, 2018 .

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

Elias Oliveira, Patrick Marques Ciarelli, P. M. Ciarelli, 2015, Inf. Sci..

A FAST DEEP STACKED NETWORK USING EXTREME LEARNING MACHINE

Patrick Marques Ciarelli, Fernando Kentaro Inaba, Bruno Légora Souza da Silva, 2018 .

Data Augmentation for improving Hate Speech Detection on Social Networks

Patrick Marques Ciarelli, Lígia Iunes Venturott, 2020, WebMedia.

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

Patrick Marques Ciarelli, Evandro O. T. Salles, Edwards Cerqueira de Castro, 2021, Sensors.

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

Patrick Marques Ciarelli, Lígia Iunes Venturott, 2021, EPIA.