Igor dos Santos Montagner

According to our database, Igor dos Santos Montagner authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Mastery-oriented Grading in an Intensive CS1 Course.

Igor dos Santos Montagner, Rafael Corsi Ferrão, Andrew T. N. Kurauchi, Mariana Silva, Craig B. Zilles

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Embedded-check a Code Quality Tool for Automatic Firmware Verification.

Rafael Corsi Ferrão, Igor dos Santos Montagner, Mariana Silva, Craig B. Zilles, Rodolfo Azevedo

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Learn by Example in a Modern Embedded System Course.

Rafael Corsi Ferrão, Igor dos Santos Montagner, Rodolfo Azevedo

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

Moving Beyond VHDL in Introductory Computer Architecture Courses: An Exploration of MyHDL as a Modern Alternative.

Rafael Corsi Ferrão, Igor dos Santos Montagner, Renan Trevisoli

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Learning professional software development skills by contributing to Open Source projects.

Igor dos Santos Montagner, Andrew T. N. Kurauchi

Proceedings of the IEEE Frontiers in Education Conference, 2022

How much C can students learn in one week? Experiences teaching C in advanced CS courses.

Rafael Corsi Ferrão, Igor dos Santos Montagner, Ricardo Caceffo, Rodolfo Azevedo

Proceedings of the IEEE Frontiers in Education Conference, 2022

2019

Teaching C programming in context: a joint effort between the Computer Systems, Embedded Computing and Programming Challenges courses.

Igor dos Santos Montagner, Rafael Corsi Ferrão, Eduardo Marossi, Fábio J. Ayres

Proceedings of the IEEE Frontiers in Education Conference, 2019

An experience with peer assessment in the context of a Computer Systems course.

Igor dos Santos Montagner

Proceedings of the IEEE Frontiers in Education Conference, 2019

2017

Staff removal using image operator learning.

Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.

Pattern Recognit., 2017

2016

Kernel Approximations for W-Operator Learning.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Image Operator Learning and Applications.

Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016

Comics image processing: learning to segment text.

Nina S. T. Hirata, Igor dos Santos Montagner, Roberto Hirata Jr.

Proceedings of the 1st International Workshop on coMics ANalysis, 2016

NILC: A two level learning algorithm with operator selection.

Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014

A Machine Learning Based Method for Staff Removal.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning to remove staff lines from music score images.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014