Priscila T. M. Saito

Priscila T. M. Saito

Universidade Tecnológica Federal do Paraná

H-index: 14

Latin America-Brazil

About Priscila T. M. Saito

Priscila T. M. Saito, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidade Tecnológica Federal do Paraná, specializes in the field of Machine Learning - Pattern Recognition - Image Analysis - Image Processing - Visualization.

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

Soybean seed vigor classification through an effective image learning-based approach

Automatic generation of difficulty maps for datasets using neural network

Assessment of clustering techniques to support the analyses of soybean seed vigor

Evaluation of change detection algorithms using difficulty maps

Análise e Classificação Automática de Nódulos em Raízes de Cultivares de Soja

Pedestrian traffic lights and crosswalk identification

Classification of skin lesion through active learning strategies

Optimum-path forest and active learning approaches for content-based medical image retrieval

Priscila T. M. Saito Information

University

Position

Professor of Computer Science UTFPR-CP

Citations(all)

524

Citations(since 2020)

375

Cited By

280

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

12

Email

University Profile Page

Universidade Tecnológica Federal do Paraná

Google Scholar

View Google Scholar Profile

Priscila T. M. Saito Skills & Research Interests

Machine Learning - Pattern Recognition - Image Analysis - Image Processing - Visualization

Top articles of Priscila T. M. Saito

Title

Journal

Author(s)

Publication Date

Soybean seed vigor classification through an effective image learning-based approach

Multimedia Tools and Applications

Marcelo Souza Jr

William C Horikoshi

Priscila TM Saito

Pedro H Bugatti

2024/2

Automatic generation of difficulty maps for datasets using neural network

Multimedia Tools and Applications

Silvio Ricardo Rodrigues Sanches

Elton Custódio Junior

Cléber Gimenez Corrêa

Claiton Oliveira

Valdinei Freire

...

2024/1/23

Assessment of clustering techniques to support the analyses of soybean seed vigor

Plos one

Eduardo R de Oliveira

Pedro H Bugatti

Priscila TM Saito

2023/8/25

Evaluation of change detection algorithms using difficulty maps

IEEE Latin America Transactions

Silvio Ricardo Rodrigues Sanches

Cléber Gimenez Corrêa

Beatriz Regina Brum

Pedro Henrique Bugatti

Priscila Tiemi Maeda Saito

...

2023/6

Análise e Classificação Automática de Nódulos em Raízes de Cultivares de Soja

Eber Fabiano Pacanhela

Artur Berbel Lirio Rondina

Marco Antonio Nogueira

Mariangela Hungria

Priscila Tiemi Maeda Saito

...

2022/7/31

Pedestrian traffic lights and crosswalk identification

Multimedia Tools and Applications

Ronaldo S Moura

Silvio RR Sanches

Pedro H Bugatti

Priscila TM Saito

2022/5

Classification of skin lesion through active learning strategies

Computer Methods and Programs in Biomedicine

Lucas G Batista

Pedro H Bugatti

Priscila TM Saito

2022/11/1

Optimum-path forest and active learning approaches for content-based medical image retrieval

Rafael S Bressan

Pedro H Bugatti

Priscila TM Saito

2022/1/1

Aprendizado Ativo Aplicado ao Diagnóstico de Lesoes Dermatológicas

Lucas G Batista

Fernando F Cruz

Pedro H Bugatti

Priscila TM Saito

2022/7/31

Method for selecting representative videos for change detection datasets

Multimedia Tools and Applications

Claudinei M Silva

Katharina AI Rosa

Pedro H Bugatti

Priscila TM Saito

Cléber G Corrêa

...

2022/1/1

Avaliaçao de abordagens semi-supervisionadas aplicadas a redes neurais convolucionais

Cristiano N de O Bassani

Priscila TM Saito

Pedro H Bugatti

2022/7/31

Contextual image classification through fine-tuned graph neural networks

Walacy S Campos

Luis G Souza

Priscila TM Saito

Pedro H Bugatti

2021/6/20

TERL: classification of transposable elements by convolutional neural networks

Murilo Horacio Pereira da Cruz

Douglas Silva Domingues

Priscila Tiemi Maeda Saito

Alexandre Rossi Paschoal

Pedro Henrique Bugatti

2021/5

Computational analysis of transposable elements and circRNAs in plants

Plant circular RNAs: methods and protocols

Liliane Santana Oliveira

Andressa Caroline Patera

Douglas Silva Domingues

Danilo Sipoli Sanches

Fabricio Martins Lopes

...

2021

Active Learning Strategies and Convolutional Neural Networks forMammogram Classification

João Marcelo Tozato

Pedro Henrique Bugatti

Priscila Tiemi Maeda Saito

2021/6/20

Assessing active learning strategies to improve the quality control of the soybean seed vigor

IEEE Transactions on Industrial Electronics

Douglas Felipe Pereira

Pedro Henrique Bugatti

Fabrício Martins Lopes

André Luis Siqueira Marques de Souza

Priscila Tiemi Maeda Saito

2020/1/29

Automatic visual quality assessment of biscuits using machine learning

Mardlla de Sousa Silva

Luigi Freitas Cruz

Pedro Henrique Bugatti

Priscila Tiemi Maeda Saito

2020

DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution

Luigi Freitas Cruz

Priscila Tiemi Maeda Saito

Pedro Henrique Bugatti

2020/10/7

Active semi-supervised learning for biological data classification

PLoS One

Guilherme Camargo

Pedro H Bugatti

Priscila TM Saito

2020/8/19

See List of Professors in Priscila T. M. Saito University(Universidade Tecnológica Federal do Paraná)

Co-Authors

H-index: 57
Falcao, A.X.

Falcao, A.X.

Universidade Estadual de Campinas

H-index: 31
Denis Wolf

Denis Wolf

Universidade de São Paulo

H-index: 27
Jefersson A. dos Santos

Jefersson A. dos Santos

Universidade Federal de Minas Gerais

H-index: 24
Fátima L S Nunes

Fátima L S Nunes

Universidade de São Paulo

H-index: 18
Kalinka Regina Lucas Jaquie Castelo Branco

Kalinka Regina Lucas Jaquie Castelo Branco

Universidade de São Paulo

H-index: 18
Jancarlo Ferreira Gomes

Jancarlo Ferreira Gomes

Universidade Estadual de Campinas

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