Patrick Marques Ciarelli

50 papers B 3C 8Misc 1Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Psycho-Behavioral Disorders Classification Using Microstates Syntax and Natural Language Processing. IEEE Access Lorraine Marques Alves, Mariane Lima de Souza, Klaus Fabian Côco, Patrick Marques Ciarelli
2025	J	`jnl`	3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells. CoRR 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, João Neuenschwander Escosteguy Carneiro, Lucas Gouveia Omena Lopes, Lucas Pereira de Gouveia, Mateus de Araujo Fernandes, Matheus Lima Scramignon, Patrick Marques Ciarelli, Rodrigo Castello Branco, Rogério Leite Alves Pinto
2025	J	`jnl`	A Somatotype Classification Approach Based on Generative AI and Frontal Images of Individuals. IEEE Access Antonio Ricardo Alexandre Brasil, Fabian T. Amaral, Lícia Cristina de Lima Oliveira, Girlandia A. Brasil, Klaus F. Côco, Patrick Marques Ciarelli
2025	J	`jnl`	Enhancing one-Class classifiers performance in multivariate time series through dynamic clustering: A case study on hydraulic system fault detection. Expert Syst. Appl. André Paulo Ferreira Machado, Celso José Munaro, Patrick Marques Ciarelli
2024	J	`jnl`	A fast online stacked regressor to handle concept drifts. Eng. Appl. Artif. Intell. Bruno Légora Souza da Silva, Patrick Marques Ciarelli
2024	J	`jnl`	Identifying ADHD and subtypes through microstates analysis and complex networks. Medical Biol. Eng. Comput. Lorraine Marques Alves, Klaus Fabian Côco, Mariane Lima de Souza, Patrick Marques Ciarelli
2024	J	`jnl`	Time series clustering to improve one-class classifier performance. Expert Syst. Appl. André Paulo Ferreira Machado, Celso José Munaro, Patrick Marques Ciarelli, Ricardo Emanuel Vaz Vargas
2024	J	`jnl`	Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting. Expert Syst. Appl. Ana Paula Miranda Diniz, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Klaus Fabian Côco
2023	J	`jnl`	Deep learning with spectrogram image of eye movement for biometrics. Int. J. Biom. Antonio Ricardo Alexandre Brasil, Patrick Marques Ciarelli, Izabella Martins da Costa Rodrigues, Jefferson Oliveira Andrade, Karin Satie Komati
2022	J	`jnl`	An annotated image database of building facades categorized into land uses for object detection using deep learning. Mach. Vis. Appl. Frederico Damasceno Bortoloti, Jonivane Tavares, Thomas Walter Rauber, Patrick Marques Ciarelli, Rayane Cardozo Gama Botelho
2021	J	`jnl`	A New Approach to Enhanced Swarm Intelligence Applied to Video Target Tracking. Sensors Edwards Cerqueira de Castro, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2021	Misc	`conf`	Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning. EPIA Lígia Iunes Venturott, Patrick Marques Ciarelli
2021	J	`jnl`	ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring. J. Netw. Syst. Manag. João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça
2021	J	`jnl`	Supervised kernel density estimation K-means. Expert Syst. Appl. Frederico Damasceno Bortoloti, Elias de Oliveira, Patrick Marques Ciarelli
2020	J	`jnl`	A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification. Sensors Lucas de Assis Soares, Klaus Fabian Côco, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles
2020	—	`conf`	Data Augmentation for improving Hate Speech Detection on Social Networks. WebMedia Lígia Iunes Venturott, Patrick Marques Ciarelli
2020	J	`jnl`	Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems. Neural Networks Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2020	J	`jnl`	Outlier Robust Extreme Machine Learning for multi-target regression. Expert Syst. Appl. Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2019	J	`jnl`	Novelty Detection in Social Media by Fusing Text and Image Into a Single Structure. IEEE Access Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Evandro O. T. Salles, Daniel Cruz Cavalieri
2019	J	`jnl`	On Machine Learning DoS Attack Identification from Cloud Computing Telemetry. CoRR João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça
2019	J	`jnl`	Outlier Robust Extreme Learning Machine for Multi-Target Regression. CoRR Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2018	B	`conf`	Analysing rotation-invariance of a log-polar transformation in convolutional neural networks. IJCNN Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza
2018	B	`conf`	Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks. IJCNN Daniel Luis Cosmo, Thaís Pedruzzi do Nascimento, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2018	J	`jnl`	Modification in the SAR Super-Resolution Model Using the Fractal Descriptor LMME in the Term Regularizer. IEEE Access Vitor F. Campana, Klaus F. Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2018	B	`conf`	Texture Representation and Classification with Artificial Hikers and Fractals. CEC Lucas de Assis Soares, Klaus Fabian Côco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2017	C	`conf`	Identification of Corrosive Substances through Electrochemical Noise using Wavelet and Recurrence Quantification Analysis. ICPRAM Lorraine Marques Alves, Romulo Almeida Cotta, Adilson Ribeiro Prado, Patrick Marques Ciarelli
2017	C	`conf`	Identification of Types of Corrosion through Electrochemical Noise using Machine Learning Techniques. ICPRAM Lorraine Marques Alves, Romulo Almeida Cotta, Patrick Marques Ciarelli
2016	—	`conf`	Achieving semi-supervised incremental learning with Learn++ and simple recycled selection. EAIS Frederico Damasceno Bortoloti, Patrick Marques Ciarelli
2016	—	`conf`	Recommending Groups to Users based Both on Their Textual and Image Posts. KDIR Elias Oliveira, Howard Roatti, Gustavo Ramos Lima, Patrick Marques Ciarelli
2015	J	`jnl`	Achieving a compromise between performance and complexity of structure: An incremental approach. Inf. Sci. Patrick Marques Ciarelli, Elias Oliveira
2015	C	`conf`	An analysis of automatic human detection and tracking. ICMV Philipe Rangel Demuth, Daniel Luiz Cosmo, Patrick Marques Ciarelli
2015	—	`conf`	Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets. KDIR Elias Oliveira, Howard Roatti, Matheus de Araujo Nogueira, Henrique Gomes Basoni, Patrick Marques Ciarelli
2014	C	`conf`	A strategy for automatic moderation of a large data set of users comments. CLEI Marcos Rodrigues Saude, Marcelo de Medeiros Soares, Henrique Gomes Basoni, Patrick Marques Ciarelli, Elias Oliveira
2014	—	`conf`	Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification. KDIR Elias Oliveira, Henrique Gomes Basoni, Marcos Rodrigues Saude, Patrick Marques Ciarelli
2014	J	`jnl`	Multi-label incremental learning applied to web page categorization. Neural Comput. Appl. Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
2014	C	`conf`	Pedestrian detection system based on HOG and a modified version of CSS. ICMV Daniel Luis Cosmo, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2013	J	`jnl`	Impact of the characteristics of data sets on incremental learning. Artif. Intell. Res. Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
2013	J	`jnl`	Recommendation of programming activities by multi-label classification for a formative assessment of students. Expert Syst. Appl. Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli, Elias Oliveira
2013	—	`conf`	Recommending the Right Activities based on the Needs of each Student. KDIR/KMIS Elias Oliveira, Márcia Gonçalves de Oliveira, Patrick Marques Ciarelli
2012	J	`jnl`	An incremental neural network with a reduced architecture. Neural Networks Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
2012	—	`—`	Modelo de Aprendizado Incremental Baseado em Uma Rede Neural com Arquitetura Adaptativa. Patrick Marques Ciarelli
2011	J	`jnl`	Human automatic detection and tracking for outdoor video. Integr. Comput. Aided Eng. Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira
2010	—	`conf`	An Evolving System Based on Probabilistic Neural Network. SBRN Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira
2009	C	`conf`	Agglomeration and Elimination of Terms for Dimensionality Reduction. ISDA Patrick Marques Ciarelli, Elias Oliveira
2009	C	`conf`	An Enhanced Probabilistic Neural Network Approach Applied to Text Classification. CIARP Patrick Marques Ciarelli, Elias Oliveira
2009	J	`jnl`	Automated multi-label text categorization with VG-RAM weightless neural networks. Neurocomputing Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese, Claudine Badue
2008	—	`conf`	A Comparison between a KNN Based Approach and a PNN Algorithm for a Multi-label Classification Problem. ISDA (2) Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, Alberto Ferreira de Souza
2008	—	`conf`	Avaliação do desempenho do algoritmo ML-kNN em classificação de textos livres de atividades econômicas. WebMedia (Companion) Elias Oliveira, Patrick Marques Ciarelli, Felipe Pedroni, Wallace Favoreto Henrique, Lucas de Paula Veronese
2008	—	`conf`	Using a Probabilistic Neural Network for a Large Multi-label Problem. SBRN Elias Oliveira, Patrick Marques Ciarelli, Alberto Ferreira de Souza, Claudine Badue
2007	C	`conf`	Automated Free Text Classification of Economic Activities Using VG-RAM Weightless Neural Networks. ISDA Alberto F. De Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese