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X
Bugatti, Pedro H.
44  Ergebnisse:
Personensuche X
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1

Assessment of Semi-supervised Approaches Applied to Convolu..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
Bassani, Cristiano N. de O. ; Saito, Prisicla T. M. ; Bugatti, Pedro H. - p. 195-205 , 2023
Link: https://doi.org/10.1007/..
 
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2

Soybean seed vigor classification through an effective imag..:

Souza Jr., Marcelo ; Horikoshi, William C. ; Saito, Priscila T. M..
Multimedia Tools and Applications.  83 (2023)  5 - p. 13113-13136 , 2023
Link: https://doi.org/10.1007/..
 
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3

Assessment of clustering techniques to support the analyses..:

de Oliveira, Eduardo R. ; Bugatti, Pedro H. ; Saito, Priscila T. M..
PLOS ONE.  18 (2023)  8 - p. e0285566 , 2023
Link: https://doi.org/10.1371/..
 
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4

Optimum-path forest and active learning approaches for cont..:

, In: Optimum-Path Forest,
Bressan, Rafael S. ; Bugatti, Pedro H. ; Saito, Priscila T.M. - p. 95-107 , 2022
Link: https://doi.org/10.1016/..
 
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5

Pedestrian traffic lights and crosswalk identification:

Moura, Ronaldo S. ; Sanches, Silvio R. R. ; Bugatti, Pedro H..
Multimedia Tools and Applications.  81 (2022)  12 - p. 16497-16513 , 2022
Link: https://doi.org/10.1007/..
 
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6

Classification of Skin Lesion through Active Learning Strat..:

Batista, Lucas G. ; Bugatti, Pedro H. ; Saito, Priscila T.M.
Computer Methods and Programs in Biomedicine.  226 (2022)  - p. 107122 , 2022
Link: https://doi.org/10.1016/..
 
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7

List of contributors:

, In: Optimum-Path Forest,
Afonso, Luis C.S. ; Aparco-Cardenas, David ; Bostani, Hamid... - p. xi-xii , 2022
Link: https://doi.org/10.1016/..
 
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8

Method for selecting representative videos for change detec..:

Silva, Claudinei M. ; Rosa, Katharina A. I. ; Bugatti, Pedro H....
Multimedia Tools and Applications.  81 (2021)  3 - p. 3773-3791 , 2021
Link: https://doi.org/10.1007/..
 
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9

Contextual Image Classification Through Fine-Tuned Graph Ne..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
Campos, Walacy S. ; Souza, Luis G. ; Saito, Priscila T. M.. - p. 15-24 , 2021
Link: https://doi.org/10.1007/..
 
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10

Active semi-supervised learning for biological data classif..:

Camargo, Guilherme ; Bugatti, Pedro H. ; Saito, Priscila T. M..
PLOS ONE.  15 (2020)  8 - p. e0237428 , 2020
Link: https://doi.org/10.1371/..
 
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11

An Intelligent System to Enhance the Productivity and Susta..:

, In: Proceedings of the XV Brazilian Symposium on Information Systems,
Pereira, Douglas F. ; Bugatti, Pedro H. ; Lopes, Fabrício M... - p. 1-8 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Contributing to agriculture by using soybean seed data from..:

Pereira, Douglas F. ; Bugatti, Pedro H. ; Lopes, Fabricio M...
Data in Brief.  23 (2019)  - p. 103652 , 2019
Link: https://doi.org/10.1016/..
 
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13

Classification of Transposable Elements by Convolutional Ne..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,
da Cruz, Murilo H. P. ; Saito, Priscila T. M. ; Paschoal, Alexandre R.. - p. 157-168 , 2019
Link: https://doi.org/10.1007/..
 
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14

Breast cancer diagnosis through active learning in content-..:

Bressan, Rafael S. ; Bugatti, Pedro H. ; Saito, Priscila T.M.
Neurocomputing.  357 (2019)  - p. 1-10 , 2019
Link: https://doi.org/10.1016/..
 
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15

Towards Practical Computer Vision in Teaching and Learning ..:

, In: 2019 IEEE Frontiers in Education Conference (FIE),
de O. Alves, Lucas ; Cruz, Luigi F. ; Saito, Priscila T.M.. - p. 1-7 , 2019
Link: https://doi.org/10.1109/..
 
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