Above-ground biomass wheat estimation: deep learning with UAV-based RGB images LV Schreiber, JG Atkinson Amorim, L Guimarães, D Motta Matos, ... Applied Artificial Intelligence 36 (1), 2055392, 2022 | 14 | 2022 |
Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging JG Atkinson Amorim, LV Schreiber, MRQ de Souza, M Negreiros, A Susin, ... International Journal of Remote Sensing 43 (13), 4758-4773, 2022 | 11 | 2022 |
On the explainability and expressiveness of function approximation methods in RL-based traffic signal control LV Schreiber, LN Alegre, ALC Bazzan, GO Ramos 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 2 | 2022 |
Fastiot: an efficient and very fast compression model for displaying a huge volume of iot data in web environments MB Melchiades, CDP Crovato, E Nedel, LV Schreiber, RDR Righi International Journal of Grid and Utility Computing 12 (5-6), 605-617, 2021 | 2 | 2021 |
Towards Explainable Deep Reinforcement Learning for Traffic Signal Control LV Schreiber, GO Ramos, ALC Bazzan LatinX in AI Workshop @ ICML, 2021 | 2 | 2021 |
Aprendizado por reforço profundo explicável: um estudo com controle semafórico inteligente LV Schreiber Universidade do Vale do Rio dos Sinos, 2022 | | 2022 |
A machine learning pipeline for extracting decision-support features from traffic scenes 1 VA Fraga, LV Schreiber, MAC da Silva, R Kunst, JLV Barbosa, GO Ramos AI Communications, 1-13, 2021 | | 2021 |
Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing MB Melchiades, LV Schreiber, G de Oliveira Ramos, CDP Crovato, ... LatinX in AI Workshop @ ICML, 2021 | | 2021 |
Brazilian Wheat Dataset AP Lincoln Schreiber, João Gustavo Atkinson Amorim https://data.mendeley.com/datasets/3ntkg88d4d/1, 2020 | | 2020 |