Patrick Marques Ciarelli

Patrick Marques Ciarelli

Universidade Federal do Espírito Santo

H-index: 16

Latin America-Brazil

About Patrick Marques Ciarelli

Patrick Marques Ciarelli, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidade Federal do Espírito Santo, specializes in the field of Artificial intelligence, Digital image processing, Information retrieval, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A fast online stacked regressor to handle concept drifts

Identifying ADHD and subtypes through microstates analysis and complex networks

Time series clustering to improve one-class classifier performance

Comparação de Técnicas para Representação Vetorial de Imagens com Redes Neurais para Aplicações de Recuperação de Produtos do Varejo

Contextual Microstates: an approach based on word embedding of microstates sequence to identify ADHD patients

Deep learning with spectrogram image of eye movement for biometrics

Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting

Modelagem probabilística do tempo para a primeira infecção da Covid-19 de uma cidade conectada à outra em crescimento exponencial de infectados

Patrick Marques Ciarelli Information

University

Position

Professor do Departamento de Engenharia Elétrica

Citations(all)

748

Citations(since 2020)

423

Cited By

462

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

23

i10Index(since 2020)

14

Email

University Profile Page

Universidade Federal do Espírito Santo

Google Scholar

View Google Scholar Profile

Patrick Marques Ciarelli Skills & Research Interests

Artificial intelligence

Digital image processing

Information retrieval

Machine learning

Top articles of Patrick Marques Ciarelli

Title

Journal

Author(s)

Publication Date

A fast online stacked regressor to handle concept drifts

Engineering Applications of Artificial Intelligence

Bruno Légora Souza da Silva

Patrick Marques Ciarelli

2024/5/1

Identifying ADHD and subtypes through microstates analysis and complex networks

Medical & Biological Engineering & Computing

Lorraine Marques Alves

Klaus Fabian Côco

Mariane Lima De Souza

Patrick Marques Ciarelli

2024/3

Time series clustering to improve one-class classifier performance

Expert Systems with Applications

André Paulo Ferreira Machado

Celso Jose Munaro

Patrick Marques Ciarelli

Ricardo Emanuel Vaz Vargas

2024/6/1

Comparação de Técnicas para Representação Vetorial de Imagens com Redes Neurais para Aplicações de Recuperação de Produtos do Varejo

Anais do Computer on the Beach

Gustavo Ramos Lima

Thiago Oliveira Santos

Patrick Marques Ciarelli

Filipe Mutz

2023/5/3

Contextual Microstates: an approach based on word embedding of microstates sequence to identify ADHD patients

Research on Biomedical Engineering

Lorraine Marques Alves

Klaus Fabian Côco

Mariane Lima de Souza

Patrick Marques Ciarelli

2023/3

Deep learning with spectrogram image of eye movement for biometrics

International Journal of Biometrics

Antonio Ricardo Alexandre Brasil

Patrick Marques Ciarelli

Izabella Martins da Costa Rodrigues

Jefferson Oliveira Andrade

Karin Satie Komati

2023

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

2023/10/10

Modelagem probabilística do tempo para a primeira infecção da Covid-19 de uma cidade conectada à outra em crescimento exponencial de infectados

Journal of Health Informatics

Thiago Santos Silva

Patrick Ciarelli

Jugurta Montalvão

Evandro Salles

2023/7/20

Fundamentals of Spectral Clustering for Extracting Microstates of EEG

Vladimir da Rocha Junior

Patrick Marques Ciarelli

2023/6/28

Inferência do teor de óleos e graxas em água produzida via convolutional LSTM network

Congresso Brasileiro de Automática-CBA

Karina dos Reis Teixeira

José Marques Oliveira Júnior

Ricardo Emanuel Vaz Vargas

Patrick Marques Ciarelli

Celso J Munaro

2022/10/19

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

Machine Vision and Applications

Frederico Damasceno Bortoloti

Jonivane Tavares

Thomas Walter Rauber

Patrick Marques Ciarelli

Rayane Cardozo Gama Botelho

2022/9

Analysis of EEG microstates to predict epileptic seizures in an online approach

Research on Biomedical Engineering

Jade Barbosa Kill

Patrick Marques Ciarelli

Klaus Fabian Côco

2022/6

Long short-term memory neural networks for clogging detection in the submerged entry nozzle

Decision Making: Applications in Management and Engineering

Ana PM Diniz

Patrick M Ciarelli

Evandro OT Salles

Klaus F Coco

2022/5/13

Predição de Indicadores de Qualidade de Energia Utilizando Técnicas de Processamento de Dados e Redes Neurais

Simpósio Brasileiro de Sistemas Elétricos-SBSE

Bruno Mattedi

Klaus Fabian Côco

Patrick Marques Ciarelli

2022/11/30

Improving performance of one-class classifiers applied to anomaly detection in oil wells

Journal of Petroleum Science and Engineering

André Paulo Ferreira Machado

Ricardo Emanuel Vaz Vargas

Patrick Marques Ciarelli

Celso Jose Munaro

2022/11/1

Detecçao de anomalias em ventiladores industriais via sinais de vibraçao

Simpósio Brasileiro de Automação Inteligente-SBAI

Gercilio C Zuqui Jr

Thomas W Rauber

Eduardo Carneiro de Assis

Patrick Marques Ciarelli

Celso J Munaro

2021/10/20

Supervised kernel density estimation K-means

Expert Systems with Applications

Frederico Damasceno Bortoloti

Elias de Oliveira

Patrick Marques Ciarelli

2021/4/15

Ml-based ddos detection and identification using native cloud telemetry macroscopic monitoring

Journal of Network and Systems Management

João Henrique Corrêa

Patrick M Ciarelli

Moises RN Ribeiro

Rodolfo S Villaça

2021/4

Estimaçao do teor de óleos e graxas em água descartada no mar usando redes neurais recorrentes

Simpósio Brasileiro de Automaçao Inteligente-SBAI

José Marques Oliveira Júnior

Karina dos Reis Teixeira

Ricardo Emanuel Vaz Vargas

Patrick Marques Ciarelli

Celso J Munaro

2021/10/20

A new approach to enhanced swarm intelligence applied to video target tracking

Sensors

Edwards Cerqueira de Castro

Evandro Ottoni Teatini Salles

Patrick Marques Ciarelli

2021/3/9

See List of Professors in Patrick Marques Ciarelli University(Universidade Federal do Espírito Santo)