Leandro H. de S. Silva

Orcid: 0000-0001-6221-2250

According to our database1, Leandro H. de S. Silva authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023


Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
Event-Based Angular Speed Measurement and Movement Monitoring.
Sensors, 2022

Learning from pseudo-labels: Self-training Electronic Components Detector for Waste Printed Circuit Boards.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

A Legal Information System for Intelligent Sentence Mining Applied to Civil Law.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Classification of Legal Documents in Portuguese Language Based on Summarization.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

2020
Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019


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