Diego Marcondes

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method. CoRR Diego Marcondes
2025	—	`conf`	On the Representation of Stack Operators by Mathematical Morphology. DGMM Diego Marcondes
2025	J	`jnl`	On the representation of stack operators by mathematical morphology. CoRR Diego Marcondes
2025	J	`jnl`	Unrestricted Sequential Discrete Morphological Neural Networks. J. Math. Imaging Vis. Diego Marcondes, Mariana Feldman, Junior Barrera
2024	—	`conf`	An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks. DGMM Diego Marcondes, Mariana Feldman, Junior Barrera
2024	J	`jnl`	Back to basics to open the black box. Nat. Mac. Intell. Diego Marcondes, Adilson Simonis, Junior Barrera
2024	J	`jnl`	Discrete Morphological Neural Networks. SIAM J. Imaging Sci. Diego Marcondes, Junior Barrera
2024	J	`jnl`	Generalized Resubstitution for Regression Error Estimation. CoRR Diego Marcondes, Ulisses Braga-Neto
2024	—	`conf`	The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators. DGMM Diego Marcondes, Junior Barrera
2023	J	`jnl`	An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks. CoRR Diego Marcondes, Mariana Feldman, Junior Barrera
2023	J	`jnl`	Discrete Morphological Neural Networks. CoRR Diego Marcondes, Junior Barrera
2023	J	`jnl`	Distribution-free Deviation Bounds of Learning via Model Selection with Cross-validation Risk Estimation. CoRR Diego Marcondes, Cláudia M. Peixoto
2023	J	`jnl`	The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators. CoRR Diego Marcondes, Junior Barrera
2022	J	`jnl`	The role of prior information and computational power in Machine Learning. CoRR Diego Marcondes, Adilson Simonis, Junior Barrera
2021	J	`jnl`	A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil. Patterns Cláudia Pio Ferreira, Diego Marcondes, Mariana P. Melo, Sérgio M. Oliva, Cláudia M. Peixoto, Pedro S. Peixoto
2021	J	`jnl`	Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection. CoRR Diego Marcondes, Adilson Simonis, Junior Barrera
2018	J	`jnl`	Feature Selection based on the Local Lift Dependence Scale. Entropy Diego Marcondes, Adilson Simonis, Junior Barrera
2017	J	`jnl`	Feature Selection based on the Local Lift Dependence Scale. CoRR Diego Marcondes, Adilson Simonis, Junior Barrera