Diego Marcondes

Orcid: 0000-0002-6087-4821

According to our database1, Diego Marcondes authored at least 10 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Discrete Morphological Neural Networks.
SIAM J. Imaging Sci., 2024

Back to basics to open the black box.
Nat. Mac. Intell., 2024

Generalized Resubstitution for Regression Error Estimation.
CoRR, 2024

An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

2023
Distribution-free Deviation Bounds of Learning via Model Selection with Cross-validation Risk Estimation.
CoRR, 2023

2022
The role of prior information and computational power in Machine Learning.
CoRR, 2022

2021
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil.
Patterns, 2021

Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection.
CoRR, 2021

2018
Feature Selection based on the Local Lift Dependence Scale.
Entropy, 2018


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