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2020 – today
- 2024
[j1]Pierluigi Crescenzi
, Emanuele Natale, Aurora Rossi, Paulo Bruno S. Serafim:
WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models. J. Open Source Softw. 9(96): 5772 (2024)- [c12]Paulo Bruno S. Serafim, Pierluigi Crescenzi, Gizem Gezici, Eleonora Cappuccio, Salvatore Rinzivillo, Fosca Giannotti:
Exploring Large Language Models Capabilities to Explain Decision Trees. HHAI 2024: 64-72 - 2023
- [c11]Alexandre M. M. Santos, Halisson R. Rodrigues, Rômulo Férrer Filho, Yuri Lenon B. Nogueira, Creto A. Vidal, Joaquim B. Cavalcante Neto, Artur O. R. Franco, Paulo Bruno S. Serafim:
Unveiling the Key Features Influencing Game Agents with Different Levels of Robustness. SBGames 2023: 86-95 - 2022
- [c10]Hyuan P. Farrapo, Rômulo F. F. Filho, José G. R. Maia, Paulo Bruno de Sousa Serafim:
DRLeague: a Novel 3D Environment for Training Reinforcement Learning Agents. SBGAMES 2022: 1-6 - 2021
- [c9]Paulo Bruno S. Serafim, Yuri Lenon B. Nogueira, Joaquim B. Cavalcante Neto, Creto Augusto Vidal:
Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures. SBGames 2021: 19-28 - [c8]Rômulo Férrer Filho, Yuri Lenon Barbosa Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Paulo Bruno de Sousa Serafim:
Gym Hero: A Research Environment for Reinforcement Learning Agents in Rhythm Games. SBGames 2021: 87-96 - 2020
- [c7]Aldísio Gonçalves Medeiros, João P. B. Andrade, Paulo Bruno S. Serafim, Alexandre M. M. Santos, José G. R. Maia, Fernando Antonio Mota Trinta, José A. F. de Macêdo, Pedro P. R. Filho, Paulo A. L. Rego:
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. IJCNN 2020: 1-8 - [c6]Paulo Bruno de Sousa Serafim, Yuri Lenon Barbosa Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Rômulo Férrer Filho:
Investigating Deep Q-Network Agent Sensibility to Texture Changes on FPS Games. SBGames 2020: 117-125 - [c5]Anderson Mesquita, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto, Paulo Serafim:
Autonomous Foraging with SARSA-based Deep Reinforcement Learning. SVR 2020: 425-433
2010 – 2019
- 2019
- [c4]Paulo Bruno S. Serafim, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, José Gilvan Rodrigues Maia, Fernando Antonio Mota Trinta, Marcio E. F. Maia, José Antônio Fernandes de Macêdo, Aloísio Vieira Lira Neto:
A Method based on Convolutional Neural Networks for Fingerprint Segmentation. IJCNN 2019: 1-8 - [c3]Matheus G. Cordeiro, Paulo Bruno S. Serafim, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto:
A Minimal Training Strategy to Play Flappy Bird Indefinitely with NEAT. SBGames 2019: 21-28 - 2018
- [c2]Paulo Bruno S. Serafim, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto:
Evaluating Competition in Training of Deep Reinforcement Learning Agents in First-Person Shooter Games. SBGames 2018: 117-126 - 2017
- [c1]Paulo Serafim, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto:
On the Development of an Autonomous Agent for a 3D First-Person Shooter Game Using Deep Reinforcement Learning. SBGames 2017: 155-163
Coauthor Index
aka: Joaquim Bento Cavalcante Neto
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