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 (ISDA, 2007)

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 (ISDA (2), 2008)

Using a Probabilistic Neural Network for a Large Multi-label Problem. - Elias Oliveira; Patrick Marques Ciarelli; Alberto Ferreira de Souza; Claudine Badue (SBRN, 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 (WebMedia (Companion), 2008)

An Enhanced Probabilistic Neural Network Approach Applied to Text Classification. - Patrick Marques Ciarelli; Elias Oliveira (CIARP, 2009)

Agglomeration and Elimination of Terms for Dimensionality Reduction. - Patrick Marques Ciarelli; Elias Oliveira (ISDA, 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)

An Evolving System Based on Probabilistic Neural Network. - Patrick Marques Ciarelli; Evandro O. T. Salles; Elias Oliveira (SBRN, 2010)

Human automatic detection and tracking for outdoor video. - Patrick Marques Ciarelli; Evandro O. T. Salles; Elias Oliveira (Integr. Comput. Aided Eng., 2011)

An incremental neural network with a reduced architecture. - Patrick Marques Ciarelli; Elias Oliveira; Evandro O. T. Salles (Neural Networks, 2012)

Modelo de Aprendizado Incremental Baseado em Uma Rede Neural com Arquitetura Adaptativa. - Patrick Marques Ciarelli (2012)

CNAE-9. - Patrick Marques Ciarelli; Elias Oliveira (UCI Machine Learning Repository, 2012)

Recommending the Right Activities based on the Needs of each Student. - Elias Oliveira; Márcia Gonçalves de Oliveira; Patrick Marques Ciarelli (KDIR/KMIS, 2013)

Impact of the characteristics of data sets on incremental learning. - Patrick Marques Ciarelli; Elias Oliveira; Evandro O. T. Salles (Artif. Intell. Res., 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)

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 (CLEI, 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 (KDIR, 2014)

Pedestrian detection system based on HOG and a modified version of CSS. - Daniel Luis Cosmo; Evandro Ottoni Teatini Salles; Patrick Marques Ciarelli (ICMV, 2014)

Multi-label incremental learning applied to web page categorization. - Patrick Marques Ciarelli; Elias Oliveira; Evandro O. T. Salles (Neural Comput. Appl., 2014)

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 (KDIR, 2015)

An analysis of automatic human detection and tracking. - Philipe Rangel Demuth; Daniel Luiz Cosmo; Patrick Marques Ciarelli (ICMV, 2015)

Achieving a compromise between performance and complexity of structure: An incremental approach. - Patrick Marques Ciarelli; Elias Oliveira (Inf. Sci., 2015)

Achieving semi-supervised incremental learning with Learn++ and simple recycled selection. - Frederico Damasceno Bortoloti; Patrick Marques Ciarelli (EAIS, 2016)

Recommending Groups to Users based Both on Their Textual and Image Posts. - Elias Oliveira; Howard Roatti; Gustavo Ramos Lima; Patrick Marques Ciarelli (KDIR, 2016)

Identification of Types of Corrosion through Electrochemical Noise using Machine Learning Techniques. - Lorraine Marques Alves; Romulo Almeida Cotta; Patrick Marques Ciarelli (ICPRAM, 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 (ICPRAM, 2017)

Texture Representation and Classification with Artificial Hikers and Fractals. - Lucas de Assis Soares; Klaus Fabian Côco; Evandro Ottoni Teatini Salles; Patrick Marques Ciarelli (CEC, 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 (IJCNN, 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 (IJCNN, 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)

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)

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)

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)

Data Augmentation for improving Hate Speech Detection on Social Networks. - Lígia Iunes Venturott; Patrick Marques Ciarelli (WebMedia, 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)

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)

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)

Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning. - Lígia Iunes Venturott; Patrick Marques Ciarelli (EPIA, 2021)

Supervised kernel density estimation K-means. - Frederico Damasceno Bortoloti; Elias de Oliveira; Patrick Marques Ciarelli (Expert Syst. Appl., 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)

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)

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)

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)

A fast online stacked regressor to handle concept drifts. - Bruno Légora Souza da Silva; Patrick Marques Ciarelli (Eng. Appl. Artif. Intell., 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)

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)

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., 2024)

A Somatotype Classification Approach Based on Generative AI and Frontal Images of Individuals. - Antonio Ricardo Alexandre Brasil; Fabian T. Amaral; Lícia Cristina de Lima Oliveira; Girlandia A. Brasil; Klaus F. Côco; Patrick Marques Ciarelli (IEEE Access, 2025)

Enhancing one-Class classifiers performance in multivariate time series through dynamic clustering: A case study on hydraulic system fault detection. - André Paulo Ferreira Machado; Celso José Munaro; Patrick Marques Ciarelli (Expert Syst. Appl., 2025)

3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells. - Ricardo Emanuel Vaz Vargas; Afrânio José de Melo Junior; Celso José Munaro; Cláudio Benevenuto de Campos Lima; Eduardo Toledo de Lima Junior; Felipe Muntzberg Barrocas; Flávio Miguel Varejão; Guilherme F. Peixer; Igor de Melo Nery Oliveira; Jader Barbosa Jr.; Jaime Andrés Lozano Cadena; Jean Carlos Dias de Araújo; et al. (CoRR, 2025)