Publications

2023

  • J. M. Silva, G. O. Ramos, and J. L. V. Barbosa, “Multi-Objective Decision-Making Meets Dynamic Shortest Path: Challenges and Prospects,” Algorithms, vol. 16, iss. 3, p. 162, 2023. doi:10.3390/a16030162
    [BibTeX] [Download PDF]
    @Article{daSilva+2023algorithms,
    author = {{\relax da} Silva, Juarez M. and Ramos, Gabriel {\relax de} O. and Barbosa, Jorge L. V.},
    title = {Multi-Objective Decision-Making Meets Dynamic Shortest Path: Challenges and Prospects},
    journal = {Algorithms},
    year = {2023},
    volume = {16},
    number = {3},
    pages = {162},
    doi = {10.3390/a16030162},
    url = {https://doi.org/10.3390/a16030162}
    }
  • V. A. Fraga, L. Schreiber, R. Kunst, J. L. C. Barbosa, and G. O. Ramos, “A machine learning pipeline for extracting decision-support features from traffic scenes,” AI Communications, 2023. doi:10.3233/AIC-220317
    [BibTeX] [Download PDF]
    @Article{Fraga+2023aic,
    author = {Fraga, Vitor Augusto and Schreiber, Lincoln and Kunst, Rafael and Barbosa, Jorge L. C. and Ramos, Gabriel {\relax de} O.},
    title = {A machine learning pipeline for extracting decision-support features from traffic scenes},
    journal = {AI Communications},
    year = {2023},
    OPTkey = {key},
    OPTvolume = {volume},
    OPTnumber = {number},
    OPTpages = {pages},
    OPTmonth = {month},
    doi = {10.3233/AIC-220317},
    url = {https://doi.org/10.3233/AIC-220317}
    }
  • S. G. Neto, S. A. Freitas, and G. O. Ramos, “Echocardiographic Image Classification Using Deep Learning,” in Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, Belo Horizonte, 2023, p. 473–485. doi:10.5753/eniac.2023.234259
    [BibTeX] [Download PDF]
    @InProceedings{GomesNeto+2023eniac,
    author = {Salvador Gomes Neto and Samuel Armbrust Freitas and Gabriel {\relax de} Oliveira Ramos},
    title = {Echocardiographic Image Classification Using Deep Learning},
    booktitle = {Anais do XX Encontro Nacional de Intelig\^encia Artificial e Computacional},
    pages = {473--485},
    year = {2023},
    address = {Belo Horizonte},
    month = {September},
    publisher = {SBC},
    issn = {2763-9061},
    doi = {10.5753/eniac.2023.234259},
    url = {https://doi.org/10.5753/eniac.2023.234259}
    }
  • C. F. Hayes, R. Radulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. M. Zintgraf, R. Dazeley, F. Heintz, E. Howley, A. A. Irissappane, P. Mannion, A. Nowé, G. Ramos, M. Restelli, P. Vamplew, and D. M. Roijers, “A Brief Guide to Multi-Objective Reinforcement Learning and Planning,” in Proc. of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, 2023, pp. 1988-1990.
    [BibTeX] [Download PDF]
    @InProceedings{Hayes+2023aamas,
    author = {Hayes, Conor F. and R\u{a}dulescu, Roxana and Bargiacchi, Eugenio and K\"allstr\"om, Johan and Macfarlane, Matthew and Reymond, Mathieu and Verstraeten, Timothy and Zintgraf, Luisa M. and Dazeley, Richard and Heintz, Fredrik and Howley, Enda and Irissappane, Athirai A. and Mannion, Patrick and Now\'e, Ann and Ramos, Gabriel and Restelli, Marcello and Vamplew, Peter and Roijers, Diederik M.},
    title = {A Brief Guide to Multi-Objective Reinforcement Learning and Planning},
    booktitle = {Proc. of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)},
    pages = {1988-1990},
    year = {2023},
    address = {London},
    month = {May},
    url = {https://dl.acm.org/doi/abs/10.5555/3545946.3598869}
    }
  • G. Kuhn, F. A. Zeiser, A. Roehe, C. A. Costa, and G. O. Ramos, “Aprendizado profundo para assistência histopatológica: um estudo de classificação de micrometástases em câncer de mama,” in Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2023), São Paulo, Brazil, 2023, p. 407–418. doi:10.5753/sbcas.2023.230093
    [BibTeX] [Download PDF]
    @InProceedings{Kuhn+2023sbcas,
    author = {Kuhn, Gabriela and Zeiser, Felipe A. and Roehe, Adriana and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos},
    title = {Aprendizado profundo para assist\^encia histopatol\'ogica: um estudo de classifica{\c c}\~ao de micromet\'astases em c\^ancer de mama},
    booktitle = {Anais do XXIII Simp\'osio Brasileiro de Computa{\c c}\~ao Aplicada \`a Sa\'ude (SBCAS 2023)},
    pages = {407--418},
    year = {2023},
    address = {S\~ao Paulo, Brazil},
    month = {June},
    publisher = {SBC},
    doi = {10.5753/sbcas.2023.230093},
    url = {https://doi.org/10.5753/sbcas.2023.230093},
    issn = {2763-8952},
    annote = {39.7{\%} acceptance rate.}
    }
  • H. Matos, A. B. Schmitt, F. Zeiser, C. A. Costa, and G. O. Ramos, “Integration of Epidemiologic, Socioeconomic, and Sociodemographic Indicators to Predict Early COVID-19 In-Hospital Outcomes,” in Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, Belo Horizonte, 2023, p. 1037–1047. doi:10.5753/eniac.2023.234573
    [BibTeX] [Download PDF]
    @InProceedings{Matos+2023eniac,
    author = {Hetielle Matos and Arthur Brenner Schmitt and Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} Oliveira Ramos},
    title = {Integration of Epidemiologic, Socioeconomic, and Sociodemographic Indicators to Predict Early COVID-19 In-Hospital Outcomes},
    booktitle = {Anais do XX Encontro Nacional de Intelig\^encia Artificial e Computacional},
    pages = {1037--1047},
    year = {2023},
    address = {Belo Horizonte},
    month = {September},
    publisher = {SBC},
    issn = {2763-9061},
    doi = {10.5753/eniac.2023.234573},
    url = {https://doi.org/10.5753/eniac.2023.234573}
    }
  • M. L. H. Souza, C. A. Costa, and G. O. Ramos, “A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems,” Computers in Industry, vol. 148, p. 103903, 2023. doi:10.1016/j.compind.2023.103903
    [BibTeX] [Download PDF]
    @Article{Souza+2023comind,
    author = {Marcos Leandro {Hoffmann Souza} and Cristiano André {\relax da} Costa and Gabriel {\relax de} Oliveira Ramos},
    title = {A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems},
    journal = {Computers in Industry},
    year = {2023},
    volume = {148},
    pages = {103903},
    month = {June},
    issn = {0166-3615},
    doi = {10.1016/j.compind.2023.103903},
    url = {https://doi.org/10.1016/j.compind.2023.103903}
    }
  • P. Vamplew, B. J. Smith, J. Källström, G. Ramos, R. Radulescu, D. M. Roijers, C. F. Hayes, F. Heintz, P. Mannion, P. J. K. Libin, R. Dazeley, and C. Foale, “Scalar reward is not enough,” in Proc. of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, 2023, p. 839–841.
    [BibTeX] [Download PDF]
    @InProceedings{Vamplew+2023aamas,
    author = {Vamplew, Peter and Smith, Benjamin J. and K\"allstr\"om, Johan and Ramos, Gabriel and R\u{a}dulescu, Roxana and Roijers, Diederik M. and Hayes, Conor F. and Heintz, Fredrik and Mannion, Patrick and Libin, Pieter J. K. and Dazeley, Richard and Foale, Cameron},
    title = {Scalar reward is not enough},
    booktitle = {Proc. of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)},
    pages = {839--841},
    year = {2023},
    address = {London},
    month = {May},
    url = {https://dl.acm.org/doi/abs/10.5555/3545946.3598719}
    }
  • L. A. Thomasini, L. N. Alegre, G. O. Ramos, and A. L. C. Bazzan, “RouteChoiceEnv: a Route Choice Library for Multiagent Reinforcement Learning,” in Proc. of the Adaptive and Learning Agents Workshop (ALA 2023), London, 2023.
    [BibTeX] [Download PDF]
    @InProceedings{Thomasini+2023ala,
    author = {Thomasini, Luiz A. and Alegre, Lucas N. and Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C.},
    title = {RouteChoiceEnv: a Route Choice Library for Multiagent Reinforcement Learning},
    booktitle = {Proc. of the Adaptive and Learning Agents Workshop (ALA 2023)},
    year = {2023},
    address = {London},
    month = {May},
    url = {https://alaworkshop2023.github.io/papers/ALA2023_paper_69.pdf}
    }

2022

  • T. Boechel, L. M. Policarpo, G. O. Ramos, R. R. Righi, and D. Singh, “Prediction of Harvest Time of Apple Trees: An RNN-Based Approach,” Algorithms, vol. 15, iss. 3, p. 95, 2022. doi:10.3390/a15030095
    [BibTeX] [Download PDF]
    @Article{Boechel+2022alg,
    author = {Boechel, Tiago and Policarpo, Lucas Micol and Ramos, Gabriel {\relax de} Oliveira and Righi, Rodrigo {\relax da} Rosa and Singh, Dhananjay},
    title = {Prediction of Harvest Time of Apple Trees: An RNN-Based Approach},
    journal = {Algorithms},
    year = {2022},
    volume = {15},
    number = {3},
    pages = {95},
    doi = {10.3390/a15030095},
    url = {https://doi.org/10.3390/a15030095}
    }
  • L. M. Ceschini, L. M. Policarpo, R. R. Righi, and G. O. Ramos, “Aiding glaucoma diagnosis from the automated classification and segmentation of fundus images,” in 2022 11th Brazilian Conference on Intelligent Systems (BRACIS), Campinas, 2022, p. 343–356. doi:10.1007/978-3-031-21689-3_25
    [BibTeX] [Download PDF]
    @InProceedings{Ceschini+2022bracis,
    author = {Lucas Mayer Ceschini and Lucas Micol Policarpo and Rodrigo {\relax da} Rosa Righi and Gabriel {\relax de} Oliveira Ramos},
    title = {Aiding glaucoma diagnosis from the automated classification and segmentation of fundus images},
    booktitle = {2022 11th Brazilian Conference on Intelligent Systems (BRACIS)},
    pages = {343--356},
    year = {2022},
    address = {Campinas},
    month = {November},
    publisher = {Springer},
    doi = {10.1007/978-3-031-21689-3_25},
    url = {https://doi.org/10.1007/978-3-031-21689-3_25}
    }
  • L. M. Ceschini, L. M. Policarpo, V. F. Rodrigues, R. R. Righi, and G. O. Ramos, “Otimizando o diagnóstico automatizado de glaucoma a partir de imagens de fundo de olho,” in Anais da XXII Escola Regional de Alto Desempenho da Região Sul, Porto Alegre, 2022, p. 9–12. doi:10.5753/eradrs.2022.19148
    [BibTeX] [Download PDF]
    @InProceedings{Ceschini+2022erad,
    author = {Lucas Mayer Ceschini and Lucas Micol Policarpo and Vinicius Facco Rodrigues and Rodrigo {\relax da} Rosa Righi and Gabriel {\relax de} Oliveira Ramos},
    title = {Otimizando o diagnóstico automatizado de glaucoma a partir de imagens de fundo de olho},
    booktitle = {Anais da XXII Escola Regional de Alto Desempenho da Regi\~ao Sul},
    pages = {9--12},
    year = {2022},
    address = {Porto Alegre},
    month = {April},
    issn = {2595-4164},
    publisher = {SBC},
    doi = {10.5753/eradrs.2022.19148},
    url = {https://doi.org/10.5753/eradrs.2022.19148},
    note = {Honourable mention on the Best Scientific Initiation Work Award}
    }
  • F. Colombelli, V. K. Matter, B. I. Grisci, L. Lima, K. Heinen, M. Borges, S. J. Rigo, J. L. V. Barbosa, R. R. Righi, C. A. Costa, and G. O. Ramos, “Multi-objective prioritization for data center vulnerability remediation,” in 2022 IEEE Congress on Evolutionary Computation (CEC), Padova, Italy, 2022, p. 1–8. doi:10.1109/CEC55065.2022.9870289
    [BibTeX] [Download PDF]
    @InProceedings{Colombelli+2022cec,
    author = {Colombelli, Felipe and Matter, V\'itor K. and Grisci, Bruno I. and Lima, Leomar and Heinen, Karine and Borges, Marcio and Rigo, Sandro J. and Barbosa, Jorge L. V. and Righi, Rodrigo {\relax da} Rosa and {\relax da} Costa, Cristiano Andr\'e and Ramos, Gabriel {\relax de} O.},
    title = {Multi-objective prioritization for data center vulnerability remediation},
    booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
    pages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/CEC55065.2022.9870289},
    url = {https://doi.org/10.1109/CEC55065.2022.9870289}
    }
  • J. Dalzochio, R. Kunst, J. L. V. Barbosa, H. D. Vianna, G. O. Ramos, E. Pignaton, A. Binotto, and J. Favilla, “ELFpm: A machine learning framework for industrial machines prediction of remaining useful life,” Neurocomputing, vol. 512, p. 420–442, 2022. doi:10.1016/j.neucom.2022.09.083
    [BibTeX] [Download PDF]
    @Article{Dalzochio+2022neuro,
    author = {Jovani Dalzochio and Rafael Kunst and Jorge Luis Vict\'oria Barbosa and Henrique Damasceno Vianna and Gabriel {\relax de} Oliveira Ramos and Edison Pignaton and Alecio Binotto and Jose Favilla},
    title = {{ELF}pm: A machine learning framework for industrial machines prediction of remaining useful life},
    journal = {Neurocomputing},
    year = {2022},
    volume = {512},
    pages = {420--442},
    month = {November},
    issn = {0925-2312},
    doi = {10.1016/j.neucom.2022.09.083},
    url = {https://doi.org/10.1016/j.neucom.2022.09.083}
    }
  • J. M. Silva, G. O. Ramos, and J. L. V. Barbosa, “The multi-objective dynamic shortest path problem,” in 2022 IEEE Congress on Evolutionary Computation (CEC), Padova, Italy, 2022, p. 1–8. doi:10.1109/CEC55065.2022.9870278
    [BibTeX] [Download PDF]
    @InProceedings{daSilva+2022cec,
    author = {{\relax da} Silva, Juarez M. and Ramos, Gabriel {\relax de} O. and Barbosa, Jorge L. V.},
    title = {The multi-objective dynamic shortest path problem},
    booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
    pages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/CEC55065.2022.9870278},
    url = {https://doi.org/10.1109/CEC55065.2022.9870278}
    }
  • I. F. Camargo, R. S. Antunes, and G. O. Ramos, “On Social Consensus Mechanisms for Federated Learning Aggregation,” in 2022 11th Brazilian Conference on Intelligent Systems (BRACIS), Campinas, 2022, p. 236–250. doi:10.1007/978-3-031-21689-3_18
    [BibTeX] [Download PDF]
    @InProceedings{deCamargo+2022bracis,
    author = {{\relax de} Camargo, Igor Felipe and Antunes, Rodolfo Stoffel and Ramos, Gabriel {\relax de} Oliveira},
    title = {On Social Consensus Mechanisms for Federated Learning Aggregation},
    booktitle = {2022 11th Brazilian Conference on Intelligent Systems (BRACIS)},
    pages = {236--250},
    year = {2022},
    address = {Campinas},
    month = {November},
    publisher = {Springer},
    doi = {10.1007/978-3-031-21689-3_18},
    url = {https://doi.org/10.1007/978-3-031-21689-3_18}
    }
  • A. Souza, M. B. Melchiades, S. J. Rigo, and G. O. Ramos, “MoStress: a Sequence Model for Stress Classification,” in 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 2022, p. 1–8. doi:10.1109/IJCNN55064.2022.9892953
    [BibTeX] [Download PDF]
    @InProceedings{deSouza+2022ijcnn,
    author = {{\relax de} Souza, Arturo and Melchiades, Mateus B. and Rigo, Sandro J. and Ramos, Gabriel {\relax de} O.},
    title = {MoStress: a Sequence Model for Stress Classification},
    booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
    pages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/IJCNN55064.2022.9892953},
    url = {https://doi.org/10.1109/IJCNN55064.2022.9892953}
    }
  • V. A. Fraga, L. Schreiber, R. Kunst, J. L. C. Barbosa, and G. O. Ramos, “A machine learning pipeline for extracting decision-support features from traffic scenes,” in Proceedings of the 12th Workshop on Agents in Traffic and Transportation (ATT-2022), Vienna, 2022, p. 194–208.
    [BibTeX] [Download PDF]
    @InProceedings{Fraga+2022att,
    author = {Fraga, Vitor Augusto and Schreiber, Lincoln and Kunst, Rafael and Barbosa, Jorge L. C. and Ramos, Gabriel {\relax de} O. },
    title = {A machine learning pipeline for extracting decision-support features from traffic scenes},
    booktitle = {Proceedings of the 12th Workshop on Agents in Traffic and Transportation (ATT-2022)},
    pages = {194--208},
    year = {2022},
    editor = {Ana L. C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari},
    volume = {3173},
    address = {Vienna},
    month = {July},
    url = {http://ceur-ws.org/Vol-3173/13.pdf},
    annote = {Best paper award}
    }
  • S. A. Freitas, G. O. Ramos, and C. A. Costa, “DEEPCADD: A Deep Neural Network for Automatic Detection of Coronary Artery Disease,” in Anais Estendidos do XXII Simpósio Brasileiro de Computação Aplicada à Saúde, Teresina, 2022, p. 25–32. doi:10.5753/sbcas_estendido.2022.222389
    [BibTeX] [Download PDF]
    @InProceedings{Freitas+2022ctdsbcas,
    author = {Freitas, Samuel A. and Ramos, Gabriel {\relax de} O. and {\relax da} Costa, Cristiano Andr\'e},
    title = {DEEPCADD: A Deep Neural Network for Automatic Detection of Coronary Artery Disease},
    booktitle = {Anais Estendidos do XXII Simp\'osio Brasileiro de Computa\c{c}\~ao Aplicada \`a Sa\'ude},
    pages = {25--32},
    year = {2022},
    address = {Teresina},
    month = {June},
    publisher = {SBC},
    issn = {2763-8987},
    doi = {10.5753/sbcas_estendido.2022.222389},
    url = {https://doi.org/10.5753/sbcas_estendido.2022.222389}
    }
  • S. A. Freitas, F. A. Zeiser, C. A. Costa, and G. O. Ramos, “DeepCADD: a Deep Learning Architecture for Automatic Detection of Coronary Artery Disease,” in 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 2022, p. 1–8. doi:10.1109/IJCNN55064.2022.9892501
    [BibTeX] [Download PDF]
    @InProceedings{Freitas+2022ijcnn,
    author = {Freitas, Samuel A. and Zeiser, Felipe A. and {\relax da} Costa, Cristiano Andr\'e and Ramos, Gabriel {\relax de} O.},
    title = {DeepCADD: a Deep Learning Architecture for Automatic Detection of Coronary Artery Disease},
    booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
    pages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/IJCNN55064.2022.9892501},
    url = {https://doi.org/10.1109/IJCNN55064.2022.9892501}
    }
  • B. Grisci, G. Kuhn, F. Colombelli, V. Matter, L. Lima, K. Heinen, M. Pegoraro, M. Borges, S. Rigo, J. Barbosa, R. R. Righi, C. A. Costa, and G. O. Ramos, “Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization,” arXiv preprint arXiv:2202.07466, 2022.
    [BibTeX] [Download PDF]
    @Article{Grisci+2022,
    author = {Bruno Grisci and Gabriela Kuhn and Felipe Colombelli and V\'itor Matter and Leomar Lima and Karine Heinen and Mauricio Pegoraro and Marcio Borges and Sandro Rigo and Jorge Barbosa and Rodrigo {\relax da} Rosa Righi and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos},
    title = {Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization},
    journal = {arXiv preprint arXiv:2202.07466},
    year = {2022},
    eprint={2202.07466},
    archivePrefix={arXiv},
    primaryClass={cs.CR},
    url = {https://arxiv.org/abs/2202.07466}
    }
  • C. F. Hayes, R. Radulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. M. Zintgraf, R. Dazeley, F. Heintz, E. Howley, A. A. Irissappane, P. Mannion, A. Nowé, G. Ramos, M. Restelli, P. Vamplew, and D. M. Roijers, “A practical guide to multi-objective reinforcement learning and planning,” Autonomous Agents and Multi-Agent Systems, vol. 36, iss. 1, p. 26, 2022. doi:10.1007/s10458-022-09552-y
    [BibTeX] [Download PDF]
    @Article{Hayes+2022jaamas,
    author = {Hayes, Conor F. and R\u{a}dulescu, Roxana and Bargiacchi, Eugenio and K\"allstr\"om, Johan and Macfarlane, Matthew and Reymond, Mathieu and Verstraeten, Timothy and Zintgraf, Luisa M. and Dazeley, Richard and Heintz, Fredrik and Howley, Enda and Irissappane, Athirai A. and Mannion, Patrick and Now\'e, Ann and Ramos, Gabriel and Restelli, Marcello and Vamplew, Peter and Roijers, Diederik M.},
    title = {A practical guide to multi-objective reinforcement learning and planning},
    journal = {Autonomous Agents and Multi-Agent Systems},
    year = {2022},
    volume = {36},
    number = {1},
    pages = {26},
    month = {April},
    doi = {10.1007/s10458-022-09552-y},
    url = {https://doi.org/10.1007/s10458-022-09552-y},
    note = {https://arxiv.org/abs/2103.09568}
    }
  • C. F. Hayes, R. Radulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. M. Zintgraf, R. Dazeley, F. Heintz, E. Howley, A. A. Irissappane, P. Mannion, A. Nowé, G. Ramos, M. Restelli, P. Vamplew, and D. M. Roijers, “Abstract: A practical guide to multi-objective reinforcement learning and planning,” in 34th Benelux Conference on Artificial Intelligence and 31st Belgian-Dutch Conference on Machine Learning (BNAIC/BeNeLearn 2022), Mechelen, 2022, p. 1–2.
    [BibTeX] [Download PDF]
    @InProceedings{Hayes+2022bnaic,
    author = {Hayes, Conor F. and R\u{a}dulescu, Roxana and Bargiacchi, Eugenio and K\"allstr\"om, Johan and Macfarlane, Matthew and Reymond, Mathieu and Verstraeten, Timothy and Zintgraf, Luisa M. and Dazeley, Richard and Heintz, Fredrik and Howley, Enda and Irissappane, Athirai A. and Mannion, Patrick and Now\'e, Ann and Ramos, Gabriel and Restelli, Marcello and Vamplew, Peter and Roijers, Diederik M.},
    title = {Abstract: A practical guide to multi-objective reinforcement learning and planning},
    booktitle = {34th Benelux Conference on Artificial Intelligence and 31st Belgian-Dutch Conference on Machine Learning (BNAIC/BeNeLearn 2022)},
    pages = {1--2},
    year = {2022},
    address = {Mechelen},
    month = {November},
    url = {https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_9504.pdf}
    }
  • R. Kunst, G. Ramos, R. Righi, C. A. Costa, E. Pignaton, A. Binotto, J. Favilla, R. Ohta, and R. High, “Handbook of Smart Materials, Technologies, and Devices: Applications of Industry 4.0,” , C. M. Hussain and P. Di Sia, Eds., Cham: Springer, 2022, p. 1277–1306. doi:10.1007/978-3-030-84205-5_33
    [BibTeX] [Download PDF]
    @InBook{Kunst+2022chapter,
    author = {Kunst, Rafael and Ramos, Gabriel and Righi, Rodrigo and {\relax da} Costa, Cristiano Andr\'e and Pignaton, Edison and Binotto, Alecio and Favilla, Jose and Ohta, Ricardo and High, Rob},
    editor = {Hussain, C.M. and Di Sia, P.},
    title = {Handbook of Smart Materials, Technologies, and Devices: Applications of Industry 4.0},
    chapter = {Industry 4.0: Applications and Future Perspectives},
    publisher = {Springer},
    year = {2022},
    address = {Cham},
    month = {December},
    pages = {1277--1306},
    isbn = {978-3-030-84205-5},
    doi = {10.1007/978-3-030-84205-5_33},
    url = {https://doi.org/10.1007/978-3-030-84205-5_33}
    }
  • T. Kautzmann, G. Ramos, and P. Jaques, “Os efeitos de usar estimativas de conhecimento do aluno em programação de computadores em modelos livres de sensores de detecção da emoção confusão,” in Anais Estendidos do XI Congresso Brasileiro de Informática na Educação, Manaus, 2022, p. 33–34. doi:10.5753/cbie_estendido.2022.226387
    [BibTeX] [Download PDF]
    @InProceedings{Kautzmann+2022ctdie,
    author = {Tiago Kautzmann and Gabriel Ramos and Patr\'icia Jaques},
    title = {Os efeitos de usar estimativas de conhecimento do aluno em programa\c{c}\~ao de computadores em modelos livres de sensores de detec\c{c}\~ao da emo\c{c}\~ao confus\~ao},
    booktitle = {Anais Estendidos do XI Congresso Brasileiro de Inform\'atica na Educa\c{c}\~ao},
    pages = {33--34},
    year = {2022},
    address = {Manaus},
    month = {November},
    publisher = {SBC},
    doi = {10.5753/cbie_estendido.2022.226387},
    url = {https://doi.org/10.5753/cbie_estendido.2022.226387}
    }
  • T. Kautzmann, G. Ramos, and P. Jaques, “O uso de estimativas de conhecimento do aluno em programação de computadores em modelos de detecção da emoção confusão livres de sensores,” in Anais XXXIII Simpósio Brasileiro de Informática na Educação, Manaus, 2022, p. 1196–1208. doi:10.5753/sbie.2022.225768
    [BibTeX] [Download PDF]
    @InProceedings{Kautzmann+2022sbie,
    author = {Tiago Kautzmann and Gabriel Ramos and Patr\'icia Jaques},
    title = {O uso de estimativas de conhecimento do aluno em programa\c{c}\~ao de computadores em modelos de detec\c{c}\~ao da emo\c{c}\~ao confus\~ao livres de sensores},
    booktitle = {Anais XXXIII Simp\'osio Brasileiro de Inform\'atica na Educa\c{c}\~ao},
    pages = {1196--1208},
    year = {2022},
    address = {Manaus},
    month = {November},
    publisher = {SBC},
    doi = {10.5753/sbie.2022.225768},
    url = {https://doi.org/10.5753/sbie.2022.225768}
    }
  • J. B. Rodrigues Neto and G. O. Ramos, “An Interpolated Approach for Active Debris Removal,” in 2022 IEEE Congress on Evolutionary Computation (CEC), Padova, Italy, 2022, p. 1–8. doi:10.1109/CEC55065.2022.9870437
    [BibTeX] [Download PDF]
    @InProceedings{RodriguesNeto+2022cec,
    author = {Rodrigues Neto, Jo\~ao B and Ramos, Gabriel {\relax de} O.},
    title = {An Interpolated Approach for Active Debris Removal},
    booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
    pages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/CEC55065.2022.9870437},
    url = {https://doi.org/10.1109/CEC55065.2022.9870437}
    }
  • L. Schreiber, L. N. Alegre, A. L. C. Bazzan, and G. O. Ramos, “On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control,” in 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 2022. doi:10.1109/IJCNN55064.2022.9892422
    [BibTeX] [Download PDF]
    @InProceedings{Schreiber+2022ijcnn,
    author = {Schreiber, Lincoln and Alegre, Lucas N. and Bazzan, Ana L. C. and Ramos, Gabriel {\relax de} O.},
    title = {On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control},
    booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
    OPTpages = {1--8},
    year = {2022},
    address = {Padova, Italy},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/IJCNN55064.2022.9892422},
    url = {https://doi.org/10.1109/IJCNN55064.2022.9892422}
    }
  • L. C. Schunke, B. Mello, C. A. Costa, R. S. Antunes, S. J. Rigo, G. O. Ramos, R. R. Righi, J. N. Scherer, and B. Donida, “A Rapid Review of Machine Learning Approaches for Telemedicine in the Scope of COVID-19,” Artificial Intelligence In Medicine, vol. 129, p. 102312, 2022. doi:10.1016/j.artmed.2022.102312
    [BibTeX] [Download PDF]
    @Article{Schunke+2022artmed,
    author = {Schunke, Luana C. and Mello, Blanda and {\relax da} Costa, Cristiano Andr\'e and Antunes, Rodolfo Stoffel and Rigo, Sandro Jos\'e and Ramos, Gabriel {\relax de} O. and Righi, Rodrigo {\relax da} Rosa and Scherer, Juliana N. and Donida, Bruna},
    title = {A Rapid Review of Machine Learning Approaches for Telemedicine in the Scope of COVID-19},
    journal = {Artificial Intelligence In Medicine},
    year = {2022},
    volume = {129},
    pages = {102312},
    issn = {0933-3657},
    doi = {10.1016/j.artmed.2022.102312},
    url = {https://doi.org/10.1016/j.artmed.2022.102312}
    }
  • P. Vamplew, B. J. Smith, J. Källström, G. Ramos, R. Radulescu, D. M. Roijers, C. F. Hayes, F. Heintz, P. Mannion, P. J. K. Libin, R. Dazeley, and C. Foale, “Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021),” Autonomous Agents and Multi-Agent Systems, vol. 36, iss. 1, p. 41, 2022. doi:10.1007/s10458-022-09575-5
    [BibTeX] [Download PDF]
    @Article{Vamplew+2022jaamas,
    author = {Vamplew, Peter and Smith, Benjamin J. and K\"allstr\"om, Johan and Ramos, Gabriel and R\u{a}dulescu, Roxana and Roijers, Diederik M. and Hayes, Conor F. and Heintz, Fredrik and Mannion, Patrick and Libin, Pieter J. K. and Dazeley, Richard and Foale, Cameron},
    title = {Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)},
    journal = {Autonomous Agents and Multi-Agent Systems},
    year = {2022},
    volume = {36},
    number = {1},
    pages = {41},
    month = {July},
    doi = {10.1007/s10458-022-09575-5},
    url = {https://doi.org/10.1007/s10458-022-09575-5},
    note = {https://arxiv.org/abs/2112.15422}
    }
  • F. A. Zeiser, C. A. Costa, G. O. Ramos, H. C. Bohn, I. Santos, B. Donida, A. P. Alegretti, and N. Zarichta, “Generating X-ray Reports Using Global Attention,” in Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional, Campinas, 2022, p. 809–818. doi:10.5753/eniac.2022.227598
    [BibTeX] [Download PDF]
    @InProceedings{Zeiser+2022eniac,
    author = {Felipe A. Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} Oliveira Ramos and Henrique C. Bohn and Ismael Santos and Bruna Donida and Ana Paula Alegretti and Nath\'alia Zarichta},
    title = {Generating X-ray Reports Using Global Attention},
    booktitle = {Anais do XIX Encontro Nacional de Intelig\^encia Artificial e Computacional},
    pages = {809--818},
    year = {2022},
    address = {Campinas},
    month = {November},
    publisher = {SBC},
    issn = {2763-9061},
    doi = {10.5753/eniac.2022.227598},
    url = {https://doi.org/10.5753/eniac.2022.227598}
    }
  • F. A. Zeiser, B. Donida, C. A. Costa, G. O. Ramos, J. N. Scherer, N. T. Barcellos, A. P. Alegretti, M. L. R. Ikeda, A. P. W. C. Müller, H. C. Bohn, I. Santos, L. Boni, R. S. Antunes, R. R. Righi, and S. J. Rigo, “First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality,” The Lancet Regional Health – Americas, vol. 6, p. 100107, 2022. doi:10.1016/j.lana.2021.100107
    [BibTeX] [Download PDF]
    @Article{Zeiser+2022lanam,
    author = {Felipe A. Zeiser and Bruna Donida and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} Oliveira Ramos and Juliana Nichterwitz Scherer and N\^emora Tregnago Barcellos and Ana Paula Alegretti and Maria Let\'icia Rodrigues Ikeda and Ana Paula Wernz C. M\"uller and Henrique C. Bohn and Ismael Santos and Luiza Boni and Rodolfo Stoffel Antunes and Rodrigo {\relax da} Rosa Righi and Sandro Jos\'e Rigo},
    title = {First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality},
    journal = {The Lancet Regional Health - Americas},
    year = {2022},
    volume = {6},
    pages = {100107},
    month = {month},
    issn = {2667-193X},
    doi = {10.1016/j.lana.2021.100107},
    url = {https://doi.org/10.1016/j.lana.2021.100107}
    }
  • T. Zonta, F. Zeiser, C. A. Costa, R. Righi, G. O. Ramos, and R. Kunst, “A predictive maintenance model for optimizing production schedule using deep neural networks,” Journal of Manufacturing Systems, vol. 62, p. 450–462, 2022. doi:10.1016/j.jmsy.2021.12.013
    [BibTeX] [Download PDF]
    @Article{Zonta+2022jms,
    author = {Tiago Zonta and Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Rodrigo Righi and Gabriel {\relax de} O. Ramos and Rafael Kunst},
    title = {A predictive maintenance model for optimizing production schedule using deep neural networks},
    journal = {Journal of Manufacturing Systems},
    year = {2022},
    volume = {62},
    pages = {450--462},
    month = {January},
    doi = {10.1016/j.jmsy.2021.12.013},
    url = {https://doi.org/10.1016/j.jmsy.2021.12.013}
    }

2021

  • T. Boechel, L. M. Policarpo, G. O. Ramos, and R. R. Righi, “Fuzzy Time Series for Predicting Phenological Stages of Apple Trees,” in Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC 2021), South Korea, 2021, p. 934–-941. doi:10.1145/3412841.3441968
    [BibTeX] [Download PDF]
    @InProceedings{Boechel+2021sac,
    author = {Boechel, Tiago and Policarpo, Lucas Micol and Ramos, Gabriel {\relax de} Oliveira and Righi, Rodrigo da Rosa},
    title = {Fuzzy Time Series for Predicting Phenological Stages of Apple Trees},
    booktitle = {Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC 2021)},
    pages = {934–-941},
    year = {2021},
    OPTeditor = {editor},
    address = {South Korea},
    month = {March},
    publisher = {Association for Computing Machinery},
    isbn = {9781450381048},
    doi = {10.1145/3412841.3441968},
    url = {https://doi.org/10.1145/3412841.3441968},
    annote = {24.9{\%} acceptance rate.}
    }
  • S. A. Freitas, C. A. Costa, and G. O. Ramos, “Coronary Artery Disease Automatic Classification,” in Anais da VIII Escola Regional de Computação Aplicada à Saúde, São Paulo, Brazil, 2021, p. 26–29. doi:10.5753/ercas.2021.17431
    [BibTeX] [Download PDF]
    @InProceedings{Freitas+2021ercas,
    author = {Samuel Armbrust Freitas and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos},
    title = {Coronary Artery Disease Automatic Classification},
    booktitle = {Anais da VIII Escola Regional de Computação Aplicada \`a Sa\'ude},
    pages = {26--29},
    year = {2021},
    address = {S\~ao Paulo, Brazil},
    month = {August},
    publisher = {SBC},
    doi = {10.5753/ercas.2021.17431},
    url = {https://doi.org/10.5753/ercas.2021.17431}
    }
  • S. A. Freitas, D. Nienow, C. A. Costa, and G. O. Ramos, “Functional Coronary Artery Assessment: a Systematic Literature Review,” Wiener klinische Wochenschrift, 2021. doi:10.1007/s00508-021-01970-4
    [BibTeX] [Download PDF]
    @Article{Freitas+2021wkwo,
    author = {Samuel Armbrust Freitas and D\'ebora Nienow and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos},
    title = {Functional Coronary Artery Assessment: a Systematic Literature Review},
    journal = {Wiener klinische Wochenschrift},
    year = {2021},
    OPTvolume = {volume},
    OPTnumber = {number},
    OPTpages = {pages},
    month = {December},
    doi = {10.1007/s00508-021-01970-4},
    url = {https://doi.org/10.1007/s00508-021-01970-4}
    }
  • J. R. G. Neto, L. Schreiber, and G. O. Ramos, “Análise do algoritmo Pareto-DQN em um ambiente de trânsito multiobjetivo,” in Anais da XXVIII Mostra Unisinos de Iniciação Científica e Tecnológica, São Leopoldo, Brazil, 2021, p. 296–297.
    [BibTeX] [Download PDF]
    @InProceedings{GomesNeto+2021mostra,
    author = {Jayme Riegel Gomes Neto and Lincoln Schreiber and Gabriel {\relax de} O. Ramos},
    title = {An\'alise do algoritmo Pareto-DQN em um ambiente de tr\^ansito multiobjetivo},
    booktitle = {Anais da XXVIII Mostra Unisinos de Inicia{\c c}\~ao Cient\'ifica e Tecnol\'ogica},
    pages = {296--297},
    year = {2021},
    editor = {Dorotea Kersch},
    address = {S\~ao Leopoldo, Brazil},
    month = {June},
    organization = {Universidade do Vale do Rio dos Sinos},
    url = {http://www.guaritadigital.com.br/casaleiria/unisinos/eventos/mostra2021/296/index.html}
    }
  • M. J. Lima, C. D. P. Crovato, R. I. G. Mejia, R. R. Righi, G. O. Ramos, C. A. Costa, and G. Pesenti, “HealthMon: An approach for monitoring machines degradation using time-series decomposition, clustering, and metaheuristics,” Computers & Industrial Engineering, vol. 162, p. 107709, 2021. doi:10.1016/j.cie.2021.107709
    [BibTeX] [Download PDF]
    @Article{deLima+2021,
    author = {{\relax de} Lima, Miromar Jos\'e and Crovato, Cesar David Paredes and Mejia, Rodrigo Ivan Goytia and Righi, Rodrigo {\relax da} Rosa and Ramos, Gabriel {\relax de} Oliveira and {\relax da} Costa, Cristiano Andr\'e and Pesenti, Giovani},
    title = {HealthMon: An approach for monitoring machines degradation using time-series decomposition, clustering, and metaheuristics},
    journal = {Computers \& Industrial Engineering},
    year = {2021},
    volume = {162},
    pages = {107709},
    month = {December},
    doi = {10.1016/j.cie.2021.107709},
    url = {https://doi.org/10.1016/j.cie.2021.107709}
    }
  • M. B. Melchiades, L. Schreiber, G. O. Ramos, C. P. D. Crovato, R. G. I. Mejia, and R. R. Righi, “Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing,” in Proc. of LatinX in AI Workshop @ ICML 2021, 2021. doi:10.52591/lxai2021072415
    [BibTeX] [Download PDF]
    @InProceedings{Melchiades+2021lxai,
    author = {Mateus B. Melchiades and Lincoln Schreiber and Gabriel {\relax de} O. Ramos and Cesar D. Paredes Crovato and Rodrigo I. Goytia Mejia and Rodrigo {\relax da} Rosa Righi},
    title = {Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing},
    booktitle = {Proc. of LatinX in AI Workshop @ ICML 2021},
    OPTpages = {pages},
    year = {2021},
    OPTaddress = {address},
    month = {July},
    organization = {LXAI},
    publisher = {LXAI},
    doi = {10.52591/lxai2021072415},
    url = {https://doi.org/10.52591/lxai2021072415}
    }
  • M. B. Melchiades, L. Schreiber, C. P. D. Crovato, R. G. I. Mejia, R. R. Righi, and G. O. Ramos, “Antecipando falhas através da predição da não-linearidade de variáveis de ambiente com redes neurais: um estudo de caso na confecção de semicondutores,” in Anais da XXVIII Mostra Unisinos de Iniciação Científica e Tecnológica, São Leopoldo, Brazil, 2021, p. 298–299.
    [BibTeX] [Download PDF]
    @InProceedings{Melchiades+2021mostra,
    author = {Mateus B. Melchiades and Lincoln Schreiber and Cesar D. Paredes Crovato and Rodrigo I. Goytia Mejia and Rodrigo {\relax da} Rosa Righi and Gabriel {\relax de} O. Ramos},
    title = {Antecipando falhas atrav\'es da predi{\c c}\~ao da n\~ao-linearidade de vari\'aveis de ambiente com redes neurais: um estudo de caso na confec{\c c}\~ao de semicondutores},
    booktitle = {Anais da XXVIII Mostra Unisinos de Inicia{\c c}\~ao Cient\'ifica e Tecnol\'ogica},
    pages = {298--299},
    year = {2021},
    editor = {Dorotea Kersch},
    address = {S\~ao Leopoldo, Brazil},
    month = {June},
    organization = {Universidade do Vale do Rio dos Sinos},
    url = {http://www.guaritadigital.com.br/casaleiria/unisinos/eventos/mostra2021/298/index.html},
    }
  • B. Mello, B. Donida, C. A. Costa, S. J. Rigo, F. Alvez, L. R. Petry, H. Rodrigues, L. Foletto, R. S. Antunes, G. O. Ramos, and R. R. Righi, “SARS event notification: template openEHR brasileiro para interoperabilidade semântica de dados com foco na COVID-19,” in Anais do XXI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2021), Curitiba, Brazil, 2021, p. 434–439. doi:10.5753/sbcas.2021.16088
    [BibTeX] [Download PDF]
    @InProceedings{Mello+2021sbcas,
    author = {Blanda Mello and Bruna Donida and Cristiano Andr\'e {\relax da} Costa and Sandro J. Rigo and Fernando Alvez and Laura R. Petry and Henrique Rodrigues and Leonardo Foletto and Rodolfo Stoffel Antunes and Gabriel {\relax de} O. Ramos and Rodrigo {\relax da} Rosa Righi},
    title = {SARS event notification: template openEHR brasileiro para interoperabilidade semântica de dados com foco na COVID-19},
    booktitle = {Anais do XXI Simp\'osio Brasileiro de Computa{\c c}\~ao Aplicada \`a Sa\'ude (SBCAS 2021)},
    pages = {434--439},
    year = {2021},
    address = {Curitiba, Brazil},
    month = {June},
    publisher = {SBC},
    doi = {10.5753/sbcas.2021.16088},
    url = {https://doi.org/10.5753/sbcas.2021.16088},
    annote = {37.5{\%} acceptance rate.}
    }
  • J. B. R. Neto and G. O. Ramos, “An Enhanced TSP-based Approach for Active Debris Removal Mission Planning,” in 2021 10th Brazilian Conference on Intelligent Systems (BRACIS), São Paulo, Brazil, 2021, p. 140–154. doi:10.1007/978-3-030-91702-9_10
    [BibTeX] [Download PDF]
    @InProceedings{RodriguesNeto&Ramos2021bracis,
    author = {Jo\~ao Batista Rodrigues Neto and Gabriel {\relax de} O. Ramos},
    title = {An Enhanced TSP-based Approach for Active Debris Removal Mission Planning},
    booktitle = {2021 10th Brazilian Conference on Intelligent Systems (BRACIS)},
    pages = {140--154},
    year = {2021},
    address = {S\~ao Paulo, Brazil},
    month = {November},
    publisher = {Springer},
    isbn = {978-3-030-91702-9},
    doi = {10.1007/978-3-030-91702-9_10},
    url = {https://doi.org/10.1007/978-3-030-91702-9_10},
    annote = {40{\%} acceptance rate.}
    }
  • N. B. Santos, R. S. Bavaresco, J. E. R. Tavares, G. O. Ramos, and J. L. V. Barbosa, “A systematic mapping study of robotics in human care,” Robotics and Autonomous Systems, vol. 144, p. 103833, 2021. doi:10.1016/j.robot.2021.103833
    [BibTeX] [Download PDF]
    @Article{Santos+2021robot,
    author = {N\'icolas B. Santos and Rodrigo S. Bavaresco and Jo\~ao E.R. Tavares and Gabriel {\relax de} O. Ramos and Jorge L. V. Barbosa},
    title = {A systematic mapping study of robotics in human care},
    journal = {Robotics and Autonomous Systems},
    year = {2021},
    volume = {144},
    pages = {103833},
    month = {October},
    doi = {10.1016/j.robot.2021.103833},
    url = {https://doi.org/10.1016/j.robot.2021.103833},
    }
  • L. Schreiber, G. O. Ramos, and A. L. C. Bazzan, “Towards Explainable Deep Reinforcement Learning for Traffic Signal Control,” in Proc. of LatinX in AI Workshop @ ICML 2021, 2021. doi:10.52591/lxai2021072414
    [BibTeX] [Download PDF]
    @InProceedings{Schreiber+2021lxai,
    author = {Lincoln Schreiber and Gabriel {\relax de} O. Ramos and Ana L. C. Bazzan},
    title = {Towards Explainable Deep Reinforcement Learning for Traffic Signal Control},
    booktitle = {Proc. of LatinX in AI Workshop @ ICML 2021},
    OPTpages = {pages},
    year = {2021},
    OPTaddress = {address},
    month = {July},
    organization = {LXAI},
    publisher = {LXAI},
    doi = {10.52591/lxai2021072414},
    url = {https://doi.org/10.52591/lxai2021072414}
    }
  • M. L. H. Souza, C. A. Costa, G. O. Ramos, and R. R. Righi, “A feature identification method to explain anomalies in condition monitoring,” Computers in Industry, vol. 133, p. 103528, 2021.
    [BibTeX] [Download PDF]
    @Article{Souza+2021comind,
    author = {Marcos Leandro {Hoffmann Souza} and Cristiano André {\relax da} Costa and Gabriel {\relax de} Oliveira Ramos and Rodrigo {\relax da} Rosa Righi},
    title = {A feature identification method to explain anomalies in condition monitoring},
    journal = {Computers in Industry},
    year = {2021},
    volume = {133},
    pages = {103528},
    month = {December},
    note = {10.1016/j.compind.2021.103528},
    url = {https://doi.org/10.1016/j.compind.2021.103528},
    }
  • F. Zeiser, C. A. Costa, G. O. Ramos, H. Bohn, I. Santos, and R. R. Righi, “Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays,” in 2021 10th Brazilian Conference on Intelligent Systems (BRACIS), São Paulo, Brazil, 2021, p. 121–132. doi:10.1007/978-3-030-91699-2_9
    [BibTeX] [Download PDF]
    @InProceedings{Zeiser+2021bracis,
    author = {Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos and Henrique Bohn and Ismael Santos and Rodrigo {\relax da} Rosa Righi},
    title = {Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays},
    booktitle = {2021 10th Brazilian Conference on Intelligent Systems (BRACIS)},
    pages = {121--132},
    year = {2021},
    address = {S\~ao Paulo, Brazil},
    month = {November},
    publisher = {Springer},
    isbn = {978-3-030-91702-9},
    doi = {10.1007/978-3-030-91699-2_9},
    url = {https://doi.org/10.1007/978-3-030-91699-2_9},
    annote = {40{\%} acceptance rate.}
    }
  • F. Zeiser, C. A. Costa, G. O. Ramos, H. Bohn, I. Santos, and A. Roehe, “DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images,” Expert Systems with Applications, vol. 185, p. 115586, 2021. doi:10.1016/j.eswa.2021.115586
    [BibTeX] [Download PDF]
    @Article{Zeiser+2021eswa,
    author = {Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos and Henrique Bohn and Ismael Santos and Adriana Roehe},
    title = {DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images},
    journal = {Expert Systems with Applications},
    year = {2021},
    volume = {185},
    pages = {115586},
    month = {December},
    doi = {10.1016/j.eswa.2021.115586},
    url = {https://doi.org/10.1016/j.eswa.2021.115586}
    }
  • F. Zeiser, C. A. Costa, and G. O. Ramos, “Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs,” in Proc. of LatinX in AI Workshop @ ICML 2021, 2021. doi:10.52591/lxai2021072418
    [BibTeX] [Download PDF]
    @InProceedings{Zeiser+2021lxai,
    author = {Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos},
    title = {Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs},
    booktitle = {Proc. of LatinX in AI Workshop @ ICML 2021},
    OPTpages = {pages},
    year = {2021},
    OPTaddress = {address},
    month = {July},
    organization = {LXAI},
    publisher = {LXAI},
    doi = {10.52591/lxai2021072418},
    url = {https://doi.org/10.52591/lxai2021072418}
    }

2020

  • S. A. Freitas, G. O. Ramos, J. Schmith, and C. A. Costa, “Nodal Analysis for Coronary Artery Ischemia Diagnosis,” in Anais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2020), Salvador, Brazil, 2020, p. 262–272. doi:10.5753/sbcas.2020.11519
    [BibTeX] [Download PDF]
    @InProceedings{Freitas+2020sbcas,
    author = {Samuel Armbrust Freitas and Gabriel {\relax de} O. Ramos and Jean Schmith and Cristiano Andr\'e {\relax da} Costa},
    title = {Nodal Analysis for Coronary Artery Ischemia Diagnosis},
    booktitle = {Anais do Simp\'osio Brasileiro de Computa{\c c}\~ao Aplicada \`a Sa\'ude (SBCAS 2020)},
    pages = {262--272},
    year = {2020},
    address = {Salvador, Brazil},
    month = {September},
    publisher = {SBC},
    doi = {10.5753/sbcas.2020.11519},
    url = {https://doi.org/10.5753/sbcas.2020.11519},
    annote = {35{\%} acceptance rate.}
    }
  • G. S. Fischer, R. R. Righi, G. O. Ramos, C. A. Costa, and J. J. P. C. Rodrigues, “ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals,” Engineering Applications of Artificial Intelligence, vol. 87, p. 103285, 2020. doi:10.1016/j.engappai.2019.103285
    [BibTeX] [Download PDF]
    @Article{Fischer+2020,
    author = {Fischer, Gabriel Souto and Righi, Rodrigo {\relax da} Rosa and Ramos, Gabriel {\relax de} Oliveira and {\relax da} Costa, Cristiano Andr{\'{e}} and Rodrigues, Joel J.P.C.},
    title = {ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals},
    journal = {Engineering Applications of Artificial Intelligence},
    year = {2020},
    volume = {87},
    pages = {103285},
    month = {January},
    doi = {10.1016/j.engappai.2019.103285},
    url = {https://doi.org/10.1016/j.engappai.2019.103285}
    }
  • R. Grunitzki and G. O. Ramos, “On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem,” in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, 2020, p. 1–9. doi:10.1109/IJCNN48605.2020.9207403
    [BibTeX] [Download PDF]
    @InProceedings{Grunitzki&Ramos2020ijcnn,
    author = {Grunitzki, Ricardo and Ramos, Gabriel {\relax de} O.},
    title = {On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem},
    booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
    pages = {1--9},
    year = {2020},
    address = {Glasgow, Scotland},
    month = {July},
    publisher = {IEEE},
    doi = {10.1109/IJCNN48605.2020.9207403},
    url = {https://doi.org/10.1109/IJCNN48605.2020.9207403}
    }
  • G. Lima, G. Ramos, S. Rigo, F. Zeiser, and A. Silveira, “Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks,” arXiv preprint arXiv:2012.03675, 2020.
    [BibTeX] [Download PDF]
    @Article{Lima+2020lxai,
    author = {Lima, Gefersom and Ramos, Gabriel and Rigo, Sandro and Zeiser, Felipe and {\relax da} Silveira, Ariane},
    title = {Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks},
    journal = {arXiv preprint arXiv:2012.03675},
    year = {2020},
    eprint={2012.03675},
    archivePrefix={arXiv},
    primaryClass={eess.IV},
    url = {https://arxiv.org/abs/2012.03675}
    }
  • G. O. Ramos, B. C. Silva, R. Radulescu, A. L. C. Bazzan, and A. Nowé, “Toll-based reinforcement learning for efficient equilibria in route choice,” The Knowledge Engineering Review, vol. 35, p. e8, 2020. doi:10.1017/S0269888920000119
    [BibTeX] [Download PDF]
    @Article{Ramos+2020ker,
    author = {Ramos, Gabriel {\relax de} O. and {\relax da} Silva, Bruno C. and R\u{a}dulescu, Roxana and Bazzan, Ana L. C. and Now\'e, Ann},
    title = {Toll-based reinforcement learning for efficient equilibria in route choice},
    journal = {The Knowledge Engineering Review},
    year = {2020},
    volume = {35},
    pages = {e8},
    publisher = {Cambridge University Press},
    doi = {10.1017/S0269888920000119},
    url = {https://doi.org/10.1017/S0269888920000119}
    }
  • G. O. Ramos, R. Radulescu, A. Nowé, and A. R. Tavares, “Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences,” in Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Auckland, New Zealand, 2020, p. 1098–1106. doi:10.5555/3398761.3398889
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2020aamas,
    author = {Ramos, Gabriel {\relax de} O. and R\u{a}dulescu, Roxana and Now\'e, Ann and Tavares, Anderson R.},
    title = {Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences},
    booktitle = {Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)},
    pages = {1098--1106},
    year = {2020},
    editor = {An, B. and Yorke-Smith, N. and El Fallah Seghrouchni, A. and Sukthankar, G.},
    address = {Auckland, New Zealand},
    month = {May},
    publisher = {IFAAMAS},
    isbn = {9781450375184},
    doi = {10.5555/3398761.3398889},
    url = {http://ifaamas.org/Proceedings/aamas2020/pdfs/p1098.pdf}
    }
  • M. L. H. Souza, C. A. Costa, G. O. Ramos, and R. R. Righi, “A survey on decision-making based on system reliability in the context of Industry 4.0,” Journal of Manufacturing Systems, vol. 56, p. 133–156, 2020. doi:10.1016/j.jmsy.2020.05.016
    [BibTeX] [Download PDF]
    @Article{Souza+2020jms,
    author = {Marcos Leandro Hoffmann Souza and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos and Rodrigo {\relax da} Rosa Righi},
    title = {A survey on decision-making based on system reliability in the context of Industry 4.0},
    journal = {Journal of Manufacturing Systems},
    year = {2020},
    volume = {56},
    pages = {133--156},
    month = {July},
    issn = {0278-6125},
    doi = {10.1016/j.jmsy.2020.05.016},
    url = {https://doi.org/10.1016/j.jmsy.2020.05.016}
    }
  • F. Varisco and G. O. Ramos, “Controle de semáforos baseado em aprendizado por reforço com função de recompensa adaptativa,” in Anais da XXVII Mostra Unisinos de Iniciação Científica e Tecnológica, São Leopoldo, Brazil, 2020, p. 329–330.
    [BibTeX] [Download PDF]
    @InProceedings{Varisco&Ramos2020mostra,
    author = {F\'abio Varisco and Gabriel {\relax de} O. Ramos},
    title = {Controle de sem\'aforos baseado em aprendizado por refor{\c c}o com fun{\c c}\~ao de recompensa adaptativa},
    booktitle = {Anais da XXVII Mostra Unisinos de Inicia{\c c}\~ao Cient\'ifica e Tecnol\'ogica},
    pages = {329--330},
    year = {2020},
    editor = {Dorotea Kersch},
    address = {S\~ao Leopoldo, Brazil},
    month = {October},
    organization = {Universidade do Vale do Rio dos Sinos},
    url = {http://www.casaleiria.com.br/unisinos/eventos/mostra2020/329/index.html}
    }
  • F. Zeiser, C. A. Costa, G. O. Ramos, A. Roehe, H. Bohn, I. Santos, and R. R. Righi, “Análise comparativa da influência dos espaços de cores na segmentação multi-classe de Whole Slide Imaging do câncer de mama utilizando deep learning,” in Anais do XX Simpósio Brasileiro de Computação Aplicada à Saúde, Salvador, Brazil, 2020, p. 131–142. doi:10.5753/sbcas.2020.11508
    [BibTeX] [Download PDF]
    @InProceedings{Zeiser+2020sbcas,
    author = {Felipe Zeiser and Cristiano Andr\'e {\relax da} Costa and Gabriel {\relax de} O. Ramos and Adriana Roehe and Henrique Bohn and Ismael Santos and Rodrigo {\relax da} Rosa Righi},
    title = {An\'alise comparativa da influ\^encia dos espa{\c c}os de cores na segmenta{\c c}\~ao multi-classe de Whole Slide Imaging do c\^ancer de mama utilizando deep learning},
    booktitle = {Anais do XX Simp\'osio Brasileiro de Computa{\c c}\~ao Aplicada \`a Sa\'ude},
    pages = {131--142},
    year = {2020},
    address = {Salvador, Brazil},
    month = {September},
    publisher = {SBC},
    doi = {10.5753/sbcas.2020.11508},
    url = {https://doi.org/10.5753/sbcas.2020.11508},
    annote = {35{\%} acceptance rate.}
    }

2019

  • G. O. Ramos, R. Radulescu, and A. Nowé, “A Budged-Balanced Tolling Scheme for Efficient Equilibria under Heterogeneous Preferences,” in Proceedings of the Adaptive Learning Agents Workshop 2019 (ALA-19), Montreal, Canada, 2019.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2019ala,
    author = {Ramos, Gabriel {\relax de} O. and R\u{a}dulescu, Roxana and Now\'e, Ann},
    title = {A Budged-Balanced Tolling Scheme for Efficient Equilibria under Heterogeneous Preferences},
    booktitle = {Proceedings of the Adaptive Learning Agents Workshop 2019 (ALA-19)},
    year = {2019},
    address = {Montreal, Canada},
    month = {May},
    url = {https://ala2019.vub.ac.be/papers/ALA2019_paper_30.pdf}
    }
  • G. O. Ramos, A. L. C. Bazzan, and B. C. Silva, “Regret Minimisation and System-Efficiency in Route Choice,” in Anais do Concurso de Teses e Dissertações da SBC (CTD-SBC), Belém, Brazil, 2019, p. 25–30. doi:10.5753/ctd.2019.6332
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2019ctd,
    author = {Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C. and {\relax da} Silva, Bruno C.},
    title = {Regret Minimisation and System-Efficiency in Route Choice},
    booktitle = {Anais do Concurso de Teses e Disserta{\c c}\~oes da SBC (CTD-SBC)},
    pages = {25--30},
    year = {2019},
    address = {Bel\'em, Brazil},
    month = {June},
    publisher = {SBC},
    doi = {10.5753/ctd.2019.6332},
    url = {https://doi.org/10.5753/ctd.2019.6332}
    }
  • B. K. Salvalaio and G. O. Ramos, “Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning,” in 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), Salvador, Brazil, 2019, p. 383–388. doi:10.1109/BRACIS.2019.00074
    [BibTeX] [Download PDF]
    @InProceedings{Salvalaio&Ramos2019bracis,
    author = {Salvalaio, Bruno Klein and Ramos, Gabriel {\relax de} O.},
    title = {Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning},
    booktitle = {2019 8th Brazilian Conference on Intelligent Systems (BRACIS)},
    pages = {383--388},
    year = {2019},
    address = {Salvador, Brazil},
    month = {October},
    publisher = {IEEE},
    isbn = {978-1-7281-4253-1},
    doi = {10.1109/BRACIS.2019.00074},
    url = {https://doi.org/10.1109/BRACIS.2019.00074}
    }
  • L. O. Souza, G. O. Ramos, and C. G. Ralha, “Experience Sharing Between Cooperative Reinforcement Learning Agents,” in 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, USA, 2019, p. 931–938. doi:10.1109/ICTAI.2019.00136
    [BibTeX] [Download PDF]
    @InProceedings{Souza+2019,
    author = {Souza, Lucas O. and Ramos, Gabriel {\relax de} O. and Ralha, Celia Ghedini},
    title = {Experience Sharing Between Cooperative Reinforcement Learning Agents},
    booktitle = {2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)},
    pages = {931--938},
    year = {2019},
    address = {Portland, USA},
    month = {November},
    publisher = {IEEE},
    doi = {10.1109/ICTAI.2019.00136},
    url = {https://doi.org/10.1109/ICTAI.2019.00136},
    annote = {26{\%} acceptance rate. Best student paper award.}
    }

2018

  • G. O. Ramos, “Regret Minimisation and System-Efficiency in Route Choice,” PhD Thesis, Porto Alegre, Brazil, 2018.
    [BibTeX] [Download PDF]
    @PhdThesis{Ramos2018,
    author = {Ramos, Gabriel {\relax de} Oliveira},
    title = {Regret Minimisation and System-Efficiency in Route Choice},
    school = {Universidade Federal do Rio Grande do Sul},
    year = {2018},
    address = {Porto Alegre, Brazil},
    month = {March},
    url = {http://hdl.handle.net/10183/178665}
    }
  • G. O. Ramos, J. C. Burguillo, and A. L. C. Bazzan, “Self-organizing Coalitions for Managing Complexity.” Cham: Springer, 2018, p. 207–263. doi:10.1007/978-3-319-69898-4_10
    [BibTeX] [Download PDF]
    @InBook{Ramos+2018chapter,
    author = {Ramos, Gabriel {\relax de} O. and Burguillo, Juan C. and Bazzan, Ana L. C.},
    title = {Self-organizing Coalitions for Managing Complexity},
    chapter = {Coalitions of Electric Vehicles in Smart Grids},
    publisher = {Springer},
    year = {2018},
    address = {Cham},
    pages = {207--263},
    isbn = {978-3-319-69898-4},
    doi = {10.1007/978-3-319-69898-4\_10},
    url = {https://doi.org/10.1007/978-3-319-69898-4_10}
    }
  • G. O. Ramos, A. L. C. Bazzan, and B. C. Silva, “Analysing the impact of travel information for minimising the regret of route choice,” Transportation Research Part C: Emerging Technologies, vol. 88, p. 257–271, 2018. doi:10.1016/j.trc.2017.11.011
    [BibTeX] [Download PDF]
    @Article{Ramos+2018trc,
    author = {Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C. and {\relax da} Silva, Bruno C.},
    title = {Analysing the impact of travel information for minimising the regret of route choice},
    journal = {Transportation Research Part C: Emerging Technologies},
    year = {2018},
    volume = {88},
    pages = {257--271},
    month = {March},
    issn = {0968-090X},
    doi = {10.1016/j.trc.2017.11.011},
    url = {https://doi.org/10.1016/j.trc.2017.11.011}
    }
  • G. O. Ramos, B. C. Silva, R. Radulescu, and A. L. C. Bazzan, “Learning System-Efficient Equilibria in Route Choice Using Tolls,” in Proceedings of the Adaptive Learning Agents Workshop 2018 (ALA-18), Stockholm, Sweden, 2018.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2018ala,
    author = {Ramos, Gabriel {\relax de} O. and {\relax da} Silva, Bruno C. and R\u{a}dulescu, Roxana and Bazzan, Ana L. C.},
    title = {Learning System-Efficient Equilibria in Route Choice Using Tolls},
    booktitle = {Proceedings of the Adaptive Learning Agents Workshop 2018 (ALA-18)},
    year = {2018},
    address = {Stockholm, Sweden},
    month = {July},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/Ramos+2018ala.pdf}
    }

2017

  • L. L. Lemos, A. L. C. Bazzan, and G. O. Ramos, “Avaliação do desempenho do aprendizado por reforço em simulação microscópica de tráfego,” in Anais do XI Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações (WESAAC 2017), São Paulo, Brazil, 2017, p. 11–22.
    [BibTeX] [Download PDF]
    @InProceedings{Lemos+2017,
    author = {Lemos, Liza Lunardi and Bazzan, Ana L. C. and Ramos, Gabriel {\relax de} O.},
    title = {Avalia{\c c}\~ao do desempenho do aprendizado por refor{\c c}o em simula{\c c}\~ao microsc\'opica de tr\'afego},
    booktitle = {Anais do XI Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCa{\c c}\~oes (WESAAC 2017)},
    pages = {11--22},
    year = {2017},
    address = {S\~ao Paulo, Brazil},
    month = {May},
    issn = {2177-2096},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/Lemos+2017wesaac.pdf}
    }
  • G. O. Ramos, “Minimising Regret in Route Choice (Doctoral Consortium),” in Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), São Paulo, Brazil, 2017, p. 1855–1856.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos2017aamasdc,
    author = {Ramos, Gabriel {\relax de} O.},
    title = {Minimising Regret in Route Choice (Doctoral Consortium)},
    booktitle = {Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)},
    pages = {1855--1856},
    year = {2017},
    editor = {S. Das and E. Durfee and K. Larson and M. Winikoff},
    address = {S\~ao Paulo, Brazil},
    month = {May},
    publisher = {IFAAMAS},
    url = {http://ifaamas.org/Proceedings/aamas2017/pdfs/p1855.pdf}
    }
  • G. O. Ramos, B. C. Silva, and A. L. C. Bazzan, “Learning to Minimise Regret in Route Choice,” in Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), São Paulo, Brazil, 2017, p. 846–855.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2017aamas,
    author = {Ramos, Gabriel {\relax de} O. and {\relax da} Silva, Bruno C. and Bazzan, Ana L. C.},
    title = {Learning to Minimise Regret in Route Choice},
    booktitle = {Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)},
    pages = {846--855},
    year = {2017},
    editor = {S. Das and E. Durfee and K. Larson and M. Winikoff},
    address = {S\~ao Paulo, Brazil},
    month = {May},
    publisher = {IFAAMAS},
    url = {http://ifaamas.org/Proceedings/aamas2017/pdfs/p846.pdf},
    annote = {27{\%} acceptance rate.}
    }
  • G. O. Ramos, L. L. Lemos, and A. L. C. Bazzan, “Developing a Python Reinforcement Learning Library for Traffic Simulation,” in Proceedings of the Adaptive Learning Agents Workshop 2017 (ALA2017), São Paulo, Brazil, 2017.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2017ala,
    author = {Ramos, Gabriel {\relax de} O. and Lemos, Liza Lunardi and Bazzan, Ana L. C.},
    title = {Developing a Python Reinforcement Learning Library for Traffic Simulation},
    booktitle = {Proceedings of the Adaptive Learning Agents Workshop 2017 (ALA2017)},
    OPTpages = {pages},
    year = {2017},
    editor = {T. Brys and A. Harutyunyan and P. Mannion and K. Subramanian},
    series = {ALA2017},
    address = {S\~ao Paulo, Brazil},
    month = {May},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/Ramos+2017ala.pdf}
    }

2016

  • G. O. Ramos and A. L. C. Bazzan, “On Estimating Action Regret and Learning From It in Route Choice,” in Proceedings of the Ninth Workshop on Agents in Traffic and Transportation (ATT-2016), New York, USA, 2016, p. 1–8. doi:10.13140/RG.2.2.25389.49123
    [BibTeX] [Download PDF]
    @InProceedings{Ramos&Bazzan2016att,
    author = {Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C.},
    title = {On Estimating Action Regret and Learning From It in Route Choice},
    booktitle = {Proceedings of the Ninth Workshop on Agents in Traffic and Transportation (ATT-2016)},
    pages = {1--8},
    year = {2016},
    editor = {Bazzan, Ana L. C. and Kl\"ugl, Franziska and Ossowski, Sascha and Vizzari, Giuseppe},
    address = {New York, USA},
    month = {July},
    publisher = {CEUR-WS.org},
    issn = {1613-0073},
    doi = {10.13140/RG.2.2.25389.49123},
    url = {http://ceur-ws.org/Vol-1678/paper18.pdf},
    annote = {47{\%} acceptance rate.}
    }
  • G. O. Ramos and A. L. C. Bazzan, “Efficient Local Search in Traffic Assignment,” in 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 2016, p. 1493–1500. doi:10.1109/CEC.2016.7743966
    [BibTeX] [Download PDF]
    @InProceedings{Ramos&Bazzan2016cec,
    author = {Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C.},
    title = {Efficient Local Search in Traffic Assignment},
    booktitle = {2016 IEEE Congress on Evolutionary Computation (CEC)},
    pages = {1493--1500},
    year = {2016},
    address = {Vancouver, Canada},
    month = {July},
    publisher = {IEEE},
    isbn = {9781509006229},
    doi = {10.1109/CEC.2016.7743966},
    url = {https://doi.org/10.1109/CEC.2016.7743966},
    annote = {47{\%} acceptance rate.}
    }

2015

  • A. L. C. Bazzan and G. O. Ramos, “Forming Coalitions of Electric Vehicles in Constrained Scenarios,” in Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability – The PAAMS Collection, J. Bajo, K. Hallenborg, P. Pawlewski, V. Botti, N. Sánchez-Pi, N. D. Duque Méndez, F. Lopes, and V. Julian, Eds., Springer International Publishing, 2015, vol. 524, p. 237–248. doi:10.1007/978-3-319-19033-4_20
    [BibTeX] [Download PDF]
    @InCollection{Bazzan&Ramos2015paams,
    author = {Bazzan, Ana L. C. and Ramos, Gabriel {\relax de} O.},
    title = {Forming Coalitions of Electric Vehicles in Constrained Scenarios},
    booktitle = {Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection},
    pages = {237--248},
    publisher = {Springer International Publishing},
    year = {2015},
    editor = {Bajo, Javier and Hallenborg, Kasper and Pawlewski, Pawel and Botti, Vicente and S\'anchez-Pi, Nayat and Duque M\'endez, Nestor D. and Lopes, Fernando and Julian, Vicente},
    volume = {524},
    series = {Communications in Computer and Information Science},
    isbn = {978-3-319-19032-7},
    doi = {10.1007/978-3-319-19033-4\_20},
    url = {https://doi.org/10.1007/978-3-319-19033-4_20}
    }
  • G. O. Ramos and R. Grunitzki, “An Improved Learning Automata Approach for the Route Choice Problem,” in Agent Technology for Intelligent Mobile Services and Smart Societies, F. Koch, F. Meneguzzi, and K. Lakkaraju, Eds., Springer Berlin Heidelberg, 2015, vol. 498, p. 56–67. doi:10.1007/978-3-662-46241-6_6
    [BibTeX] [Download PDF]
    @InCollection{Ramos&Grunitzki2015,
    author = {Ramos, Gabriel {\relax de} O. and Grunitzki, Ricardo},
    title = {An Improved Learning Automata Approach for the Route Choice Problem},
    booktitle = {Agent Technology for Intelligent Mobile Services and Smart Societies},
    pages = {56--67},
    publisher = {Springer Berlin Heidelberg},
    year = {2015},
    editor = {Koch, Fernando and Meneguzzi, Felipe and Lakkaraju, Kiran},
    volume = {498},
    series = {Communications in Computer and Information Science},
    isbn = {978-3-662-46240-9},
    doi = {10.1007/978-3-662-46241-6\_6},
    url = {https://doi.org/10.1007/978-3-662-46241-6_6}
    }
  • G. O. Ramos and A. L. C. Bazzan, “Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking,” in Proceedings of the 2015 on Genetic and Evolutionary Computation Conference, Madrid, Spain, 2015, p. 473–480. doi:10.1145/2739480.2754755
    [BibTeX] [Download PDF]
    @InProceedings{Ramos&Bazzan2015gecco,
    author = {Ramos, Gabriel {\relax de} Oliveira and Bazzan, Ana L. C.},
    title = {Towards the User Equilibrium in Traffic Assignment Using {GRASP} with Path Relinking},
    booktitle = {Proceedings of the 2015 on Genetic and Evolutionary Computation Conference},
    pages = {473--480},
    year = {2015},
    series = {GECCO '15},
    address = {Madrid, Spain},
    month = {July},
    publisher = {ACM},
    isbn = {978-1-4503-3472-3},
    doi = {10.1145/2739480.2754755},
    url = {https://doi.org/10.1145/2739480.2754755},
    annote = {36{\%} acceptance rate.}
    }
  • G. O. Ramos, J. C. Burguillo, and A. L. C. Bazzan, “A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids,” Multiagent and Grid Systems, vol. 11, iss. 3, p. 167–187, 2015. doi:10.3233/MGS-150235
    [BibTeX] [Download PDF]
    @Article{Ramos+2015mags,
    author = {Ramos, Gabriel {\relax de} O. and Burguillo, Juan C. and Bazzan, Ana L. C.},
    title = {A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids},
    journal = {Multiagent and Grid Systems},
    year = {2015},
    volume = {11},
    number = {3},
    pages = {167--187},
    month = {November},
    issn = {1574-1702},
    doi = {10.3233/MGS-150235},
    url = {https://doi.org/10.3233/MGS-150235}
    }

2014

  • R. Grunitzki, G. O. Ramos, and A. L. C. Bazzan, “Individual Versus Difference Rewards on Reinforcement Learning for Route Choice,” in Intelligent Systems (BRACIS), 2014 Brazilian Conference on, São Paulo, Brazil, 2014, pp. 253-258. doi:10.1109/BRACIS.2014.53
    [BibTeX] [Download PDF]
    @InProceedings{Grunitzki+2014,
    author = {Grunitzki, Ricardo and Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C.},
    title = {Individual Versus Difference Rewards on Reinforcement Learning for Route Choice},
    booktitle={Intelligent Systems (BRACIS), 2014 Brazilian Conference on},
    pages={253-258},
    year = {2014},
    address = {S\~ao Paulo, Brazil},
    month={October},
    doi={10.1109/BRACIS.2014.53},
    url = {https://doi.org/10.1109/BRACIS.2014.53}
    }
  • R. Grunitzki, G. O. Ramos, and A. L. C. Bazzan, “Uma Ferramenta para Alocação de Tráfego e Aprendizagem de Rotas em Redes Viárias,” in Anais do XXVIII Congresso de Pequisa e Ensino em Transportes (ANPET 2014), Curitiba, Brazil, 2014.
    [BibTeX] [Download PDF]
    @InProceedings{Grunitzki+2014anpet,
    author = {Grunitzki, Ricardo and Ramos, Gabriel {\relax de} O. and Bazzan, Ana L. C.},
    title = {Uma Ferramenta para Aloca{\c c}\~ao de Tr\'afego e Aprendizagem de Rotas em Redes Vi\'arias},
    booktitle = {Anais do XXVIII Congresso de Pequisa e Ensino em Transportes (ANPET 2014)},
    year = {2014},
    isbn = {978-85-87893-17-8},
    address = {Curitiba, Brazil},
    url = {www.inf.ufrgs.br/maslab/pergamus/pubs/grunitzki+2014-anpet.pdf}
    }
  • G. O. Ramos, J. C. Burguillo, and A. L. C. Bazzan, “Dynamic constrained coalition formation among electric vehicles,” Journal of the Brazilian Computer Society, vol. 20, iss. 8, p. 1–15, 2014. doi:10.1186/1678-4804-20-8
    [BibTeX] [Download PDF]
    @Article{Ramos+2014jbcs,
    author = {Ramos, Gabriel {\relax de} O. and Burguillo, Juan C. and Bazzan, Ana L. C.},
    title = {Dynamic constrained coalition formation among electric vehicles},
    journal = {Journal of the Brazilian Computer Society},
    year = {2014},
    volume = {20},
    number = {8},
    pages = {1--15},
    month = {March},
    doi = {10.1186/1678-4804-20-8},
    url = {https://doi.org/10.1186/1678-4804-20-8},
    }
  • G. O. Ramos, R. Grunitzki, and A. L. C. Bazzan, “On improving route choice through learning automata,” in Proceedings of the Fifth International Workshop on Collaborative Agents – Research & Development (CARE 2014), Paris, France, 2014, pp. 1-12.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2014care,
    author = {Ramos, Gabriel {\relax de} O. and Grunitzki, Ricardo and Bazzan, Ana L. C.},
    title = {On improving route choice through learning automata},
    booktitle = {Proceedings of the Fifth International Workshop on Collaborative Agents -- Research \& Development (CARE 2014)},
    pages = {1-12},
    year = {2014},
    address = {Paris, France},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/Ramos+2014care.pdf}
    }

2013

  • A. Corrêa, A. D. Vecchia, A. R. Tavares, C. Galafassi, G. O. Ramos, L. H. D. Souza, R. Grunitzki, and A. L. C. Bazzan, “Epicenter Team Description Paper,” in Anais da XI Competição Brasileira de Robótica (CBR 2013), Fortaleza, Brazil, 2013, p. 1–6.
    [BibTeX] [Download PDF]
    @InProceedings{Correa+2013cbr,
    author = {Corr\^ea, Abel and Vecchia, Alessandro D. and Tavares, Anderson R. and Galafassi, Cristiano and Ramos, Gabriel {\relax de} O. and Souza, Luiz H. D. and Grunitzki, Ricardo and Bazzan, Ana L. C.},
    title = {Epicenter Team Description Paper},
    booktitle = {Anais da XI Competi{\c c}\~ao Brasileira de Rob\'otica (CBR 2013)},
    pages = {1--6},
    year = {2013},
    address = {Fortaleza, Brazil},
    month = {October},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/epicenter2013cbr.pdf}
    }
  • A. Koster, G. O. Ramos, A. L. C. Bazzan, and F. Koch, “Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids,” in Multiagent System Technologies, M. Klusch, M. Thimm, and M. Paprzycki, Eds., Springer Berlin Heidelberg, 2013, vol. 8076, p. 292–305. doi:10.1007/978-3-642-40776-5_25
    [BibTeX] [Download PDF]
    @InCollection{Koster+2013senmas,
    author = {Koster, Andrew and Ramos, Gabriel {\relax de} Oliveira and Bazzan, Ana L. C. and Koch, Fernando},
    title = {Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids},
    booktitle = {Multiagent System Technologies},
    pages = {292--305},
    publisher = {Springer Berlin Heidelberg},
    year = {2013},
    editor = {M. Klusch and M. Thimm and M. Paprzycki},
    volume = {8076},
    series = {Lecture Notes in Computer Science},
    doi = {10.1007/978-3-642-40776-5\_25},
    url = {https://doi.org/10.1007/978-3-642-40776-5_25}
    }
  • G. O. Ramos, “Redução do espaço de busca de estruturas de coalizão a partir de informações sobre o domínio: uma aplicação em smart grids,” Master Thesis, Porto Alegre, Brasil, 2013.
    [BibTeX] [Download PDF]
    @MastersThesis{Ramos2013,
    author = {Ramos, Gabriel {\relax de} Oliveira},
    title = {Redu{\c c}\~ao do espa{\c c}o de busca de estruturas de coaliz\~ao a partir de informa{\c c}\~oes sobre o dom\'inio: uma aplica{\c c}\~ao em smart grids},
    school = {Instituto de Inform\'atica, Universidade Federal do Rio Grande do Sul},
    year = {2013},
    address = {Porto Alegre, Brasil},
    month = {March},
    url = {http://hdl.handle.net/10183/71958}
    }
  • G. O. Ramos, J. C. Burguillo, and A. L. C. Bazzan, “Self-Adapting Coalition Formation among Electric Vehicles in Smart Grids,” in 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Philadelphia, USA, 2013, p. 11–20. doi:10.1109/SASO.2013.12
    [BibTeX] [Download PDF]
    @InProceedings{Ramos+2013saso,
    author = {Ramos, Gabriel {\relax de} O. and Burguillo, Juan C. and Bazzan, Ana L. C.},
    title = {Self-Adapting Coalition Formation among Electric Vehicles in Smart Grids},
    booktitle = {2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)},
    pages = {11--20},
    year = {2013},
    address = {Philadelphia, USA},
    month = {September},
    publisher = {IEEE},
    isbn = {978-0-7695-5129-6/13},
    doi = {10.1109/SASO.2013.12},
    url = {https://doi.org/10.1109/SASO.2013.12}
    }

2012

  • G. O. Ramos and A. L. C. Bazzan, “Reduction of Coalition Structure’s Search Space based on Domain Information: an Application in Smart Grids,” in 2012 Third Brazilian Workshop on Social Simulation (BWSS), Curitiba, Brazil, 2012, p. 112–119. doi:10.1109/BWSS.2012.12
    [BibTeX] [Download PDF]
    @InProceedings{Ramos&Bazzan2012bwss,
    author = {Ramos, Gabriel {\relax de} Oliveira and Bazzan, Ana L. C.},
    title = {Reduction of Coalition Structure's Search Space based on Domain Information: an Application in Smart Grids},
    booktitle = {2012 Third Brazilian Workshop on Social Simulation (BWSS)},
    pages = {112--119},
    year = {2012},
    address = {Curitiba, Brazil},
    month = {October},
    doi = {10.1109/BWSS.2012.12},
    url = {https://doi.org/10.1109/BWSS.2012.12},
    annote = {Best paper award}
    }
  • G. O. Ramos and A. L. C. Bazzan, “Reducing the Search Space of Coalition Structures based on Smart Grids\’ Domain Information,” in Proceedings of 8th Ibero-American Workshop on Multi-Agent Systems (IBERAGENTS 2012), Cartagena de Indias, Colombia, 2012, p. 1–11.
    [BibTeX] [Download PDF]
    @InProceedings{Ramos&Bazzan2012iberagents,
    author = {Ramos, Gabriel {\relax de} Oliveira and Bazzan, Ana L. C.},
    title = {Reducing the Search Space of Coalition Structures based on Smart Grids\' Domain Information},
    booktitle = {Proceedings of 8th Ibero-American Workshop on Multi-Agent Systems (IBERAGENTS 2012)},
    pages = {1--11},
    year = {2012},
    editor = {Balsa, J. and Fuentes-Fern\'andez, R.},
    address = {Cartagena de Indias, Colombia},
    month = {November},
    url = {http://www.inf.ufrgs.br/maslab/pergamus/pubs/Ramos&Bazzan2012iberagents.pdf}
    }