Patrick Marques Ciarelli

Scopus Publications

Detection of abnormal EEG via spectral microstate dynamics and gate neural networks
Vladimir da Rocha Cordeiro Junior, Lorraine Marques Alves, Patrick Marques Ciarelli
Biomedical Signal Processing and Control, 2026
Psycho-Behavioral Disorders Classification Using Microstates Syntax and Natural Language Processing
Lorraine Marques Alves, Mariane Lima De Souza, Klaus Fabian Côco, Patrick Marques Ciarelli
IEEE Access, 2026
Spatial patterns of probability distributions for concentration fluctuations at the street network scale
Karine Klippel, Elisa Valentim Goulart, Torsten Auerswald, Elson Galvão, Patrick Marques Ciarelli, et al.
Building and Environment, 2025
Modeling time to first COVID-19 infection in Brazilian cities connected to larger cities under exponential infection growth
Thiago Silva, Patrick Ciarelli, Jugurta Montalvão, Evandro Salles
Research on Biomedical Engineering, 2025
Metaheuristic Feature Selection in Voice-Based Parkinson’s Disease Classification
Peter Gleiser Garcez, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles
Ifmbe Proceedings, 2025
Time series clustering to improve one-class classifier performance[Formula presented]
André Paulo Ferreira Machado, Celso Jose Munaro, Patrick Marques Ciarelli, Ricardo Emanuel Vaz Vargas
Expert Systems with Applications, 2024
A fast online stacked regressor to handle concept drifts
Bruno Légora Souza da Silva, Patrick Marques Ciarelli
Engineering Applications of Artificial Intelligence, 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 Coco
Expert Systems with Applications, 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 and Biological Engineering and Computing, 2024
Spectral EEG microstates for detection of mental disorders
Vladimir da Rocha Cordeiro Junior, Patrick Marques Ciarelli
Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science, 2024
Melanoma classification combining browning index and deep neural networks
Edmilson Queiroz dos Santos Filho, Evandro Ottoni Teatini Salles, Jacques Facon, Patrick Marques Ciarelli
Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science, 2024
Risk analysis of a first infection in a city connected to centers with exponential growth of infected individuals
Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science, 2024
Contextual Microstates: an approach based on word embedding of microstates sequence to identify ADHD patients
Lorraine Marques Alves, Klaus Fabian Côco, Mariane Lima de Souza, Patrick Marques Ciarelli
Research on Biomedical Engineering, 2023
Deep learning with spectrogram image of eye movement for biometrics
Antonio Ricardo Alexandre Brasil, Patrick Marques Ciarelli, Izabella Martins d, a Costa Rodrigues, Jefferson Oliveira Andrade, et al.
International Journal of Biometrics, 2023
Improving performance of one-class classifiers applied to anomaly detection in oil wells
André Paulo Ferreira Machado, Ricardo Emanuel Vaz Vargas, Patrick Marques Ciarelli, Celso Jose Munaro
Journal of Petroleum Science and Engineering, 2022
An annotated image database of building facades categorized into land uses for object detection using deep learning: Case study for the city of Vila Velha-ES, Brazil
Frederico Damasceno Bortoloti, Jonivane Tavares, Thomas Walter Rauber, Patrick Marques Ciarelli, Rayane Cardozo Gama Botelho
Machine Vision and Applications, 2022
Analysis of EEG microstates to predict epileptic seizures in an online approach
Jade Barbosa Kill, Patrick Marques Ciarelli, Klaus Fabian Côco
Research on Biomedical Engineering, 2022
LONG SHORT-TERM MEMORY NEURAL NETWORKS FOR CLOGGING DETECTION IN THE SUBMERGED ENTRY NOZZLE
Ana P. M. Diniz, Patrick M. Ciarelli, Evandro O. T. Salles, Klaus F. Coco, and
Decision Making Applications in Management and Engineering, 2022
Microstate Graphs: A Node-Link Approach to Identify Patients with Schizophrenia
Lorraine Marques Alves, Klaus Fabian Côco, Mariane Lima de Souza, Patrick Marques Ciarelli
Ifmbe Proceedings, 2022
Supervised kernel density estimation K-means
Frederico Damasceno Bortoloti, Elias de Oliveira, Patrick Marques Ciarelli
Expert Systems with Applications, 2021
ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring
João Henrique Corrêa, Patrick M. Ciarelli, Moises R. N. Ribeiro, Rodolfo S. Villaça
Journal of Network and Systems Management, 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
Detection of Multiple Small Temperature Events Simultaneously on a Distributed Temperature Map
Luis C. B. Silva, Patrick M. Ciarelli, Jean C. C. Silva, Igor B. V. Costa, Marcelo E. V. Segatto, et al.
IEEE Sensors Journal, 2021
Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning
Lígia Iunes Venturott, Patrick Marques Ciarelli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Creating a Yolov3 Custom Model for Aerial Surveillance
Anthony Oliveira Pinto, Patrick Marques Ciarelli, Mario Sarcinelli-Filho
2021 19th Workshop on Information Processing and Control Rpic 2021, 2021
Data Augmentation for improving Hate Speech Detection on Social Networks
Lígia Iunes Venturott, Patrick Marques Ciarelli
ACM International Conference Proceeding Series, 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
Industrial Optical Character Recognition System in Printing Quality Control of Hot-Rolled Coils Identification
Thais Caldeira, Patrick Marques Ciarelli, Gentil Auer Neto
Journal of Control Automation and Electrical Systems, 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 Systems with Applications, 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 Switzerland, 2020
A realistic and public dataset with rare undesirable real events in oil wells
Ricardo Emanuel Vaz Vargas, Celso José Munaro, Patrick Marques Ciarelli, André Gonçalves Medeiros, Bruno Guberfain do Amaral, et al.
Journal of Petroleum Science and Engineering, 2019
Identification of Corrosive Substances and Types of Corrosion Through Electrochemical Noise Using Signal Processing and Machine Learning
Lorraine Marques Alves, Romulo Almeida Cotta, Patrick Marques Ciarelli, Evandro O. T. Salles, Klaus F. Côco, et al.
Journal of Control Automation and Electrical Systems, 2019
Novelty Detection in Social Media by Fusing Text and Image into a Single Structure
Marta Amorim, Frederico D. Bortoloti, Patrick M. Ciarelli, Evandro O. T. Salles, Daniel C. Cavalieri
IEEE Access, 2019
Feature extraction in an ensemble of multiple local classifiers for fault diagnosis in industrial processes
Gustavo B. Santi, Arthur A. Assis, Victor N. Rebli, Patrick M. Ciarelli, Thomas W. Rauber, et al.
IFAC Papersonline, 2019
Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks
Daniel Luis Cosmo, Thais Pedruzzi do Nascimento, Evandro Ottoni Teatini Sallesz, Patrick Marques Ciarelli
Proceedings of the International Joint Conference on Neural Networks, 2018
Analysing rotation-invariance of a log-polar transformation in convolutional neural networks
Marta Amorim, Frederico Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza
Proceedings of the International Joint Conference on Neural Networks, 2018
Texture Representation and Classification with Artificial Hikers and Fractals
Lucas De Assis Soares, Klaus Fabian Coco, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
2018 IEEE Congress on Evolutionary Computation CEC 2018 Proceedings, 2018
Modification in the SAR Super-Resolution Model Using the Fractal Descriptor LMME in the Term Regularizer
Vitor F. Campana, Klaus F. Coco, Evandro Ottoni Teatini Salles, Patrick M. Ciarelli
IEEE Access, 2018
Proposal for two classifiers of offshore naturally flowing wells events using k-nearest neighbors, sliding windows and time multiscale
Ricardo E. V. Vargas, Celso J. Munaro, Patrick M. Ciarelli, Jean C. D. de Araujo
2017 6th International Symposium on Advanced Control of Industrial Processes Adconip 2017, 2017
Identification of types of corrosion through electrochemical noise using machine learning techniques
Lorraine Marques Alves, Romulo Almeida Cotta, Patrick Marques Ciarelli
Icpram 2017 Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Identification of corrosive substances through electrochemical noise using wavelet and recurrence quantification analysis
Lorraine Marques Alves, Romulo A. Cotta, Adilson Ribeiro Prado, Patrick Marques Ciarelli
Icpram 2017 Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Achieving semi-supervised incremental learning with Learn++ and simple recycled selection
Frederico Damasceno Bortoloti, Patrick Marques Ciarelli
Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems Eais 2016, 2016
Recommending groups to users based both on their textual and image posts
Elias Oliveira, Howard Roatti, Gustavo Ramos Lima, Patrick Marques Ciarelli
Ic3k 2016 Proceedings of the 8th International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management, 2016
Pedestrian Detection Utilizing Gradient Orientation Histograms and Color Self Similarities Descriptors
Daniel Luis Cosmo, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
IEEE Latin America Transactions, 2015
Achieving a compromise between performance and complexity of structure: An incremental approach
Patrick Marques Ciarelli, Elias Oliveira
Information Sciences, 2015
Pedestrian detection system based on HOG and a modified version of CSS
Daniel L. Cosmo, Evandro O. T. Salles, Patrick M. Ciarelli
Proceedings of SPIE the International Society for Optical Engineering, 2015
An analysis of automatic human detection and tracking
Philipe R. Demuth, Daniel L. Cosmo, Patrick M. Ciarelli
Proceedings of SPIE the International Society for Optical Engineering, 2015
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
Ic3k 2015 Proceedings of the 7th International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management, 2015
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
Proceedings of the 2014 Latin American Computing Conference Clei 2014, 2014
Multi-label incremental learning applied to web page categorization
Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles
Neural Computing and Applications, 2014
Combining clustering and classification approaches for reducing the effort of automatic tweets classification
Elias de Oliveira, Henrique Gomes Basoni, Marcos Rodrigues Saúde, Patrick Marques Ciarelli
Kdir 2014 Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, 2014
Recommending the right activities based on the needs of each student
Ic3k 2013 Kdir 2013 5th International Conference on Knowledge Discovery and Information Retrieval and Kmis 2013 5th International Conference on Knowledge Management and Information Sharing Proc, 2013
An evolving system in the text classification problem
Handbook of Research on Computational Intelligence for Engineering Science and Business, 2012
An evolving system in the text classification problem
Elias Oliveira, Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles
Handbook of Research on Computational Intelligence for Engineering Science and Business, 2012
An incremental neural network with a reduced architecture
Patrick Marques Ciarelli, Elias Oliveira, Evandro O.T. Salles
Neural Networks, 2012
Human automatic detection and tracking for outdoor video
Patrick Marques Ciarelli, Evandro O.T. Salles, Elias Oliveira
Integrated Computer Aided Engineering, 2011
An evolving system based on probabilistic neural network
P M Ciarelli, E O T Salles, E Oliveira
Proceedings 2010 11th Brazilian Symposium on Neural Networks Sbrn 2010, 2010
Evaluating the performance of a centroid-based probabilistic neural network
Patrick Marques Ciarelli, Elias Oliveira
Stil 2009 2009 7th Brazilian Symposium in Information and Human Language Technology, 2010
Agglomeration and elimination of terms for dimensionality reduction
Patrick Marques Ciarelli, Elias Oliveira
Isda 2009 9th International Conference on Intelligent Systems Design and Applications, 2009
An enhanced probabilistic neural network approach applied to text classification
Patrick Marques Ciarelli, Elias Oliveira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009
Automated multi-label text categorization with VG-RAM weightless neural networks
Alberto F. De Souza, Felipe Pedroni, Elias Oliveira, Patrick M. Ciarelli, Wallace Favoreto Henrique, et al.
Neurocomputing, 2009
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
Proceedings 8th International Conference on Intelligent Systems Design and Applications Isda 2008, 2008
Using a probabilistic neural network for a large multi-label problem
Elias Oliveira, Patrick Marques Ciarelli, Alberto F. De Souza, Claudine Badue
Proceedings 10th Brazilian Symposium on Neural Networks Sbrn 2008, 2008
Automated free text classification of economic activities using VG-RAM weightless neural networks
Alberto de Souza, Felipe Pedroni, Elias Oliveira, Patrick M. Ciarelli, Wallace F. Henrique, et al.
Proceedings of the 7th International Conference on Intelligent Systems Design and Applications Isda 2007, 2007

Patrick Marques Ciarelli

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Scopus Publications