Matheus Mendonça

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

Publication

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)

Publication

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

DOI Publication Publication Projet

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

DOI Publication

Network-Based Procedural Story Generation

Matheus R. F. Mendonça, Artur Ziviani

ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18

DOI Publication

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

DOI Publication

Stealthy Path Planning Using Navigation Meshes

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

2015 Brazilian Conference on Intelligent Systems | November 2015

DOI Publication

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

DOI Publication

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

Publication

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)

Publication

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

DOI Publication Publication Projet

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

DOI Publication

Network-Based Procedural Story Generation

Matheus R. F. Mendonça, Artur Ziviani

ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18

DOI Publication

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

DOI Publication

Stealthy Path Planning Using Navigation Meshes

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

2015 Brazilian Conference on Intelligent Systems | November 2015

DOI Publication

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

DOI Publication

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

Publication

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)

Publication

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

DOI Publication Publication Projet

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

DOI Publication

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

Publication

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)

Publication

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

DOI Publication

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

DOI Publication Publication Projet

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

DOI Publication

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

DOI Publication

Stealthy Path Planning Using Navigation Meshes

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

2015 Brazilian Conference on Intelligent Systems | November 2015

DOI Publication

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

DOI Publication

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

Publication

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)

Publication

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

DOI Publication Publication Projet

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

DOI Publication

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

DOI Publication

Network-Based Procedural Story Generation

Matheus R. F. Mendonça, Artur Ziviani

ACM Computers in Entertainment | September 2018, Vol 16(3): pp. 1-18

DOI Publication

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

DOI Publication