引用次数
引用: 1,114
H-指数: 16
I10-指数 : 22
出版物: 85
Reduction of Coalition Structure's Search Space Based on Domain Information: An Application in Smart Grids
Ana L.C. Bazzan , G. de Oliveira Ramos
2012 Third Brazilian Workshop on Social Simulation 112 -119
6
2012
First and second COVID-19 waves in Brazil: A crosssectional study of patients’ characteristics related to hospitalization and in-hospital mortality. Lancet Reg Health Am. 2022; 6: 100107
FA Zeiser , B Donida , CA da Costa , GO Ramos
16
2021
Deepcadd: a deep learning architecture for automatic detection of coronary artery disease
Samuel A Freitas , Felipe A Zeiser , Cristiano A Da Costa , Gabriel De O Ramos
2022 International Joint Conference on Neural Networks (IJCNN) 1 -8
4
2022
An Interpolated Approach for Active Debris Removal
João B Rodrigues Neto , Gabriel De O Ramos
2022 IEEE Congress on Evolutionary Computation (CEC) 1 -6
1
2022
Coalitions of Electric Vehicles in Smart Grids
Gabriel De O Ramos , Juan C Burguillo , AL Bazzan
Self-organizing Coalitions for Managing Complexity: Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications 29
1
2017
On improving route choice through learning automata
Gabriel de O. RAMOS , Ricardo GRUNITZKI , Ana L.C. BAZZAN
Fifth International Workshop on Collaborative Agents - Research & Development (CARE 2014) 1 -12
1
2014
Regret Minimisation and System-Efficiency in Route Choice
Gabriel de Oliveira Ramos Ramos , Bruno Silva Silva , Ana LC Bazzan Bazzan
Anais do Concurso de Teses e Dissertações da SBC (CTD-SBC)
2019
Avaliação do desempenho do aprendizado por reforço em simulação microscópica de tráfego
Gabriel de O. Ramos Liza Lunardi Lemos , Ana Bazzan
Anais do XI Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações (WESAAC 2017) 11 -22
2017
Experience Sharing Between Cooperative Reinforcement Learning Agents
Lucas Oliveira Souza , Gabriel de Oliveira Ramos , Celia Ghedini Ralha ,
arXiv: Learning
6
2019
A Practical Guide to Multi-Objective Reinforcement Learning and Planning.
Richard Dazeley , Conor F. Hayes , Marcello Restelli , Athirai A. Irissappane
arXiv: Artificial Intelligence
72
2021
Fuzzy time series for predicting phenological stages of apple trees
Rodrigo da Rosa Righi , Gabriel de Oliveira Ramos , Lucas Micol Policarpo , Tiago Boechel
acm symposium on applied computing 934 -941
2021
Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids
Andrew Koster , Gabriel de Oliveira Ramos , Ana L. C. Bazzan , Fernando Koch
multiagent system technologies 292 -305
2013
ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals
Gabriel Souto Fischer , Rodrigo da Rosa Righi , Gabriel de Oliveira Ramos , Cristiano André da Costa
Engineering Applications of Artificial Intelligence 87 103285
30
2020
Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking
Gabriel de Oliveira Ramos , Ana Lúcia Cetertich Bazzan
genetic and evolutionary computation conference 473 -480
5
2015
On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem
Ricardo Grunitzki , Gabriel de Oliveira Ramos
2020 International Joint Conference on Neural Networks (IJCNN) 1 -9
2020
Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning
Bruno Klein Salvalaio , Gabriel de Oliveira Ramos
brazilian conference on intelligent systems 383 -388
5
2019
Individual versus Difference Rewards on Reinforcement Learning for Route Choice
Ricardo Grunitzki , Gabriel de Oliveira Ramos , Ana Lucia Cetertich Bazzan
brazilian conference on intelligent systems 253 -258
9
2014
A survey on decision-making based on system reliability in the context of Industry 4.0
Marcos Leandro Hoffmann Souza , Cristiano André da Costa , Gabriel de Oliveira Ramos , Rodrigo da Rosa Righi
Journal of Manufacturing Systems 56 133 -156
85
2020
A predictive maintenance model for optimizing production schedule using deep neural networks
Tiago Zonta , Cristiano André da Costa , Felipe A Zeiser , Gabriel de Oliveira Ramos
Journal of Manufacturing Systems 62 450 -462
12
2022
ELFpm: A machine learning framework for industrial machines prediction of remaining useful life
Jovani Dalzochio , Rafael Kunst , Jorge Luis Victória Barbosa , Henrique Damasceno Vianna
Neurocomputing 512 420 -442
2022
Cristiano André da Costa Rodrigo da Rosa Righi Ana Bazzan Felipe André Zeiser Roxana Rădulescu Sandro José Rigo Patrick Mannion Peter Vamplew Diederik M. Roijers Conor F. Hayes Richard Dazeley Johan Källström Bruna Donida Nowe Ann Fredrik Heintz Juliana Nichterwitz Scherer Enda Howley Rodolfo Stoffel Antunes Jorge Barbosa Ricardo Grunitzki