Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
World Wide Web | June 2022
Matheus Mendonça
Research Software Engineer
Papiers de Collaboration
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A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
ACM Computing Surveys | November 2021, Vol 55(1)
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Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Nature Medicine | September 2021, Vol 27(10): pp. 1735-1743
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Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
IEEE Transactions on Network Science and Engineering | December 2020, Vol 8(1): pp. 220-230
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Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2019 Brazilian Conference on Intelligent Systems | September 2019
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Graph-Based Skill Acquisition For Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
ACM Computing Surveys | February 2019, Vol 52(1): pp. 6
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Abstract State Transition Graphs for Model-Based Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2018 Brazilian Conference on Intelligent Systems | September 2018
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Network-Based Procedural Story Generation
Matheus R. F. Mendonça, Artur Ziviani
ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18
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Reinforcement learning with optimized reward function for stealth applications
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Entertainment Computing | February 2018, Vol 25: pp. 37-47
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Stealthy Path Planning Using Navigation Meshes
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
2015 Brazilian Conference on Intelligent Systems | November 2015
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Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
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Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
World Wide Web | June 2022
-
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
ACM Computing Surveys | November 2021, Vol 55(1)
-
Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Nature Medicine | September 2021, Vol 27(10): pp. 1735-1743
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Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
IEEE Transactions on Network Science and Engineering | December 2020, Vol 8(1): pp. 220-230
-
Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2019 Brazilian Conference on Intelligent Systems | September 2019
-
Graph-Based Skill Acquisition For Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
ACM Computing Surveys | February 2019, Vol 52(1): pp. 6
-
Abstract State Transition Graphs for Model-Based Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2018 Brazilian Conference on Intelligent Systems | September 2018
-
Network-Based Procedural Story Generation
Matheus R. F. Mendonça, Artur Ziviani
ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18
-
Reinforcement learning with optimized reward function for stealth applications
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Entertainment Computing | February 2018, Vol 25: pp. 37-47
-
Stealthy Path Planning Using Navigation Meshes
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
2015 Brazilian Conference on Intelligent Systems | November 2015
-
Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
-
-
-
Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
World Wide Web | June 2022
-
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
ACM Computing Surveys | November 2021, Vol 55(1)
-
Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Nature Medicine | September 2021, Vol 27(10): pp. 1735-1743
-
Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
IEEE Transactions on Network Science and Engineering | December 2020, Vol 8(1): pp. 220-230
-
Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2019 Brazilian Conference on Intelligent Systems | September 2019
-
Graph-Based Skill Acquisition For Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
ACM Computing Surveys | February 2019, Vol 52(1): pp. 6
-
Abstract State Transition Graphs for Model-Based Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2018 Brazilian Conference on Intelligent Systems | September 2018
-
Reinforcement learning with optimized reward function for stealth applications
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Entertainment Computing | February 2018, Vol 25: pp. 37-47
-
Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
-
-
-
Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
World Wide Web | June 2022
-
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
ACM Computing Surveys | November 2021, Vol 55(1)
-
Abstract State Transition Graphs for Model-Based Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2018 Brazilian Conference on Intelligent Systems | September 2018
-
-
-
Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Nature Medicine | September 2021, Vol 27(10): pp. 1735-1743
-
-
-
Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2019 Brazilian Conference on Intelligent Systems | September 2019
-
Abstract State Transition Graphs for Model-Based Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
2018 Brazilian Conference on Intelligent Systems | September 2018
-
Stealthy Path Planning Using Navigation Meshes
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
2015 Brazilian Conference on Intelligent Systems | November 2015
-
Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Brazilian Symposium on Computer Games and Digital Entertainment | October 2015
-
-
-
Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
World Wide Web | June 2022
-
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
ACM Computing Surveys | November 2021, Vol 55(1)
-
Federated learning for predicting clinical outcomes in patients with COVID-19.
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li
Nature Medicine | September 2021, Vol 27(10): pp. 1735-1743
-
Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
IEEE Transactions on Network Science and Engineering | December 2020, Vol 8(1): pp. 220-230
-
Graph-Based Skill Acquisition For Reinforcement Learning
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
ACM Computing Surveys | February 2019, Vol 52(1): pp. 6
-
Network-Based Procedural Story Generation
Matheus R. F. Mendonça, Artur Ziviani
ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18
-
Reinforcement learning with optimized reward function for stealth applications
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Entertainment Computing | February 2018, Vol 25: pp. 37-47
-