Marco Henrique de Almeida Inácio

According to our database, Marco Henrique de Almeida Inácio authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

NLS: An accurate and yet easy-to-interpret prediction method.

Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki

Neural Networks, May, 2023

2021

Distance assessment and analysis of high-dimensional samples using variational autoencoders.

Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth

Inf. Sci., 2021

2020

Conditional independence testing, two sample comparison and density estimation using neural networks

Marco Henrique de Almeida Inácio

PhD thesis, 2020

The NN-Stacking: Feature weighted linear stacking through neural networks.

Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki

Neurocomputing, 2020

Bayesian superposition of pure-birth destructive cure processes for tumor latency.

Josemar Rodrigues, Marco Henrique de Almeida Inácio, Adriano K. Suzuki, Fernando Raimundo da Silva, Narayanaswamy Balakrishnan

Commun. Stat. Simul. Comput., 2020

Comparing two populations using Bayesian Fourier series density estimation.

Marco Henrique de Almeida Inácio, Rafael Izbicki, Luis Ernesto Salasar

Commun. Stat. Simul. Comput., 2020

Simulation studies on Python using sstudy package with SQL databases as storage.

Marco Henrique de Almeida Inácio

CoRR, 2020

2019

NLS: an accurate and yet easy-to-interpret regression method.

Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki

CoRR, 2019

Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders.

Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth

CoRR, 2019

Conditional independence testing: a predictive perspective.

Marco Henrique de Almeida Inácio, Rafael Izbicki, Rafael Bassi Stern

CoRR, 2019