Eduardo Krempser da Silva
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New machine learning and physics-based scoring functions for drug discovery
IA Guedes, AMS Barreto, D Marinho, E Krempser, MA Kuenemann, ...
Scientific reports 11 (1), 3198, 2021
Differential evolution for bilevel programming
JS Angelo, E Krempser, HJC Barbosa
2013 IEEE congress on evolutionary computation, 470-477, 2013
Drug design and repurposing with DockThor-VS web server focusing on SARS-CoV-2 therapeutic targets and their non-synonym variants
IA Guedes, LSC Costa, KB Dos Santos, ALM Karl, GK Rocha, IM Teixeira, ...
Scientific Reports 11 (1), 5543, 2021
An adaptive constraint handling technique for differential evolution with dynamic use of variants in engineering optimization
EK da Silva, HJC Barbosa, ACC Lemonge
Optimization and Engineering 12, 31-54, 2011
A survey of biodiversity informatics: Concepts, practices, and challenges
LMR Gadelha Jr, PC de Siracusa, EC Dalcin, LAE da Silva, DA Augusto, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (1 …, 2021
Differential evolution assisted by a surrogate model for bilevel programming problems
JS Angelo, E Krempser, HJC Barbosa
2014 IEEE Congress on Evolutionary Computation (CEC), 1784-1791, 2014
Differential Evolution Assisted by Surrogate Models for Structural Optimization Problems
ACC Krempser, E. and Bernardino, H. S. and Barbosa, H
Proceedings of the Eighth International Conference on Engineering …, 2012
Adaptive Operator Selection at the Hyper-level
E Krempser, Á Fialho, H Barbosa
Parallel Problem Solving from Nature-PPSN XII, 378-387, 2012
NICeSim: an open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making
FR Cerqueira, TG Ferreira, A de Paiva Oliveira, DA Augusto, E Krempser, ...
Artificial intelligence in medicine 62 (3), 193-201, 2014
SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil
L Chame, M., Barbosa, H.J.C., Gadelha, L.M.R., Augusto, D.A., Krempser, E ...
Journal of Healthcare Informatics Research, 1-27, 2019
Evaluation of bound constraints handling methods in differential evolution using the cec2017 benchmark
V Kreischer, TT Magalhaes, HJ Barbosa, E Krempser
XIII Brazilian Congress on Computational Intelligence, 2017
Performance evaluation of local surrogate models in differential evolution-based optimum design of truss structures
E Krempser, HS Bernardino, HJC Barbosa, ACC Lemonge
Engineering Computations 34 (2), 499-547, 2017
Performance evaluation of local surrogate models in bilevel optimization
JS Angelo, E Krempser, HJC Barbosa
Machine Learning, Optimization, and Data Science: 5th International …, 2019
Primates in SISS-Geo: Potential contributions of mobile technology, health surveillance and citizen science to support species conservation in Brazil
M Chame, L Abdalla, A Pinter, APM Romano, E Krempser, DG Ramos, ...
Neotropical primates 26 (2), 80-89, 2020
A machine learning-based virtual screening for natural compounds capable of inhibiting the HIV-1 integrase
LA Machado, E Krempser, ACR Guimarães
Frontiers in Drug Discovery 2, 954911, 2022
Migration policies to improve exploration in parallel island models for optimization via metaheuristics
TT Magalhaes, E Krempser, HJC Barbosa
Proceedings of the XXXVII Ibero-Latin American Congress on Computational …, 2015
An adaptive constraint handling technique for differential evolution in engineering optimization
EK Silva, HJC Barbosa, ACC Lemonge
International conference on engineering optimization, EngOpt, 2008
DockThor 2.0: a free web server for protein-ligand virtual screening
IA Guedes, E Krempser, LE Dardenne
XIX SBQT–Simpósio Brasileiro de Química Teórica 2013, 2013-2014, 2017
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil
M Giovanetti, F Pinotti, C Zanluca, V Fonseca, T Nakase, AC Koishi, ...
Science Advances 9 (35), eadg9204, 2023
Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling
L Abdalla, DA Augusto, M Chame, AS Dufek, L Oliveira, E Krempser
Scientific Data 9 (1), 489, 2022
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