Gabriel de Oliveira Ramos
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Citado por
A survey on decision-making based on system reliability in the context of Industry 4.0
MLH Souza, CA da Costa, G de Oliveira Ramos, R da Rosa Righi
Journal of Manufacturing Systems 56, 133-156, 2020
A practical guide to multi-objective reinforcement learning and planning
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...
Autonomous Agents and Multi-Agent Systems 36 (1), 1-59, 2022
First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality
FA Zeiser, B Donida, CA da Costa, G de Oliveira Ramos, JN Scherer, ...
The Lancet Regional Health-Americas 6, 100107, 2022
Analysing the impact of travel information for minimising the regret of route choice
GO Ramos, ALC Bazzan, BC da Silva
Transportation Research Part C: Emerging Technologies 88, 257-271, 2018
ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals
GS Fischer, R da Rosa Righi, G de Oliveira Ramos, CA da Costa, ...
Engineering Applications of Artificial Intelligence 87, 103285, 2020
Self-adapting coalition formation among electric vehicles in smart grids
GO Ramos, JCB Rial, ALC Bazzan
2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing …, 2013
An improved learning automata approach for the route choice problem
G O Ramos, R Grunitzki
Agent Technology for Intelligent Mobile Services and Smart Societies, 56-67, 2014
Dynamic constrained coalition formation among electric vehicles
G de O Ramos, JC Burguillo, ALC Bazzan
Journal of the Brazilian Computer Society 20 (1), 1-15, 2014
Individual Versus Difference Rewards on Reinforcement Learning for Route Choice
R Grunitzki, GO Ramos, ALC Bazzan
Proceedings of the 2014 Brazilian Conference on Intelligent Systems (BRACIS 14), 2014
A systematic mapping study of robotics in human care
NB Santos, RS Bavaresco, JER Tavares, GO Ramos, JLV Barbosa
Robotics and Autonomous Systems 144, 103833, 2021
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ...
Autonomous Agents and Multi-Agent Systems 36 (2), 1-19, 2022
Learning to minimise regret in route choice
GO Ramos, BC da Silva, ALC Bazzan
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
Towards the user equilibrium in traffic assignment using GRASP with path relinking
GO Ramos, ALC Bazzan
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
FA Zeiser, CA da Costa, G de Oliveira Ramos, HC Bohn, I Santos, ...
Expert Systems with Applications 185, 115586, 2021
A predictive maintenance model for optimizing production schedule using deep neural networks
T Zonta, CA da Costa, FA Zeiser, G de Oliveira Ramos, R Kunst, ...
Journal of Manufacturing Systems 62, 450-462, 2022
Reduction of Coalition Structure's Search Space Based on Domain Information: An Application in Smart Grids
ALC Bazzan, G de Oliveira Ramos
2012 Third Brazilian Workshop on Social Simulation, 112-119, 2012
Experience Sharing Between Cooperative Reinforcement Learning Agents
L Oliveira Souza, G de Oliveira Ramos, C Ghedini Ralha
arXiv e-prints, arXiv: 1911.02191, 2019
Learning System-Efficient Equilibria in Route Choice Using Tolls
GO Ramos, BC da Silva, R Rădulescu, ALC Bazzan
Toll-based reinforcement learning for efficient equilibria in route choice
GO Ramos, BC Da Silva, R Rădulescu, ALC Bazzan, A Nowé
The Knowledge Engineering Review 35, 2020
Self-adaptive appearance-based eye-tracking with online transfer learning
BK Salvalaio, G de Oliveira Ramos
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 383-388, 2019
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