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ORCIDBruno J. T. Fernandes
Bruno José Torres Fernandes
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- affiliation: University of Pernambuco, Recife, Brazil
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Books and Theses
- 2013
[b1]Bruno José Torres Fernandes:
Redes neurais com extração implícita de características para reconhecimento de padrões visuais. Federal University of Pernambuco, Recife, Brazil, 2013
Journal Articles
- 2024
- [j24]Angel Ayala, Letícia Portela, Fernando Buarque, Bruno J. T. Fernandes, Francisco Cruz:
UAV control in autonomous object-goal navigation: a systematic literature review. Artif. Intell. Rev. 57(5): 125 (2024) - [j23]David Josué Barrientos Rojas, Marie Chantelle Cruz Medina, Bruno J. T. Fernandes, Pablo V. A. Barros:
The use of reinforcement learning algorithms in object tracking: A systematic literature review. Neurocomputing 596: 127954 (2024) - [j22]Yves M. Galvão
, Letícia Castro, Janderson Ferreira, Fernando Buarque de Lima Neto, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes:
Anomaly Detection in Smart Houses for Healthcare. SN Comput. Sci. 5(1): 136 (2024) - 2023
- [j21]André L. S. Xavier, Bruno J. T. Fernandes, João F. L. Oliveira:
A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic. IEEE Access 11: 74379-74387 (2023) - [j20]João V. R. de Andrade, Bruno J. T. Fernandes, André R. L. C. Izídio, Nilson M. da Silva Filho, Francisco Cruz:
Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach. Algorithms 16(7): 326 (2023) - [j19]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz:
Proxemic behavior in navigation tasks using reinforcement learning. Neural Comput. Appl. 35(23): 16723-16738 (2023) - 2022
- [j18]Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin:
Convolution Optimization in Fire Classification. IEEE Access 10: 23642-23658 (2022) - [j17]José Edson De Albuquerque Filho, Laislla C. P. Brandão, Bruno José Torres Fernandes, Alexandre M. A. Maciel:
A Review of Neural Networks for Anomaly Detection. IEEE Access 10: 112342-112367 (2022) - [j16]Ernesto Portugal, Francisco Cruz, Angel Ayala, Bruno J. T. Fernandes:
Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment. Algorithms 15(3): 91 (2022) - [j15]Carlo Marcelo Revoredo da Silva, Bruno José Torres Fernandes, Eduardo Luzeiro Feitosa, Vinicius Cardoso Garcia:
Piracema.io: A rules-based tree model for phishing prediction. Expert Syst. Appl. 191: 116239 (2022) - [j14]Henrique J. A. Andrade, Bruno J. T. Fernandes:
Synthesis of Satellite-Like Urban Images From Historical Maps Using Conditional GAN. IEEE Geosci. Remote. Sens. Lett. 19: 1-4 (2022) - [j13]George Oliveira de Araújo Azevedo, Bruno José Torres Fernandes, Leandro Honorato de Souza Silva, Agostinho Freire, Rogério Pontes de Araújo, Francisco Cruz:
Event-Based Angular Speed Measurement and Movement Monitoring. Sensors 22(20): 7963 (2022) - 2021
- [j12]Yves M. Galvão, Letícia Portela, Janderson Ferreira, Pablo Barros, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes:
A Framework for Anomaly Identification Applied on Fall Detection. IEEE Access 9: 77264-77274 (2021) - [j11]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz, Richard Dazeley, Sérgio Fernandes:
A Robust Approach for Continuous Interactive Actor-Critic Algorithms. IEEE Access 9: 104242-104260 (2021) - [j10]Yves M. Galvão, Janderson Ferreira, Vinicius A. Albuquerque, Pablo V. A. Barros, Bruno J. T. Fernandes:
A multimodal approach using deep learning for fall detection. Expert Syst. Appl. 168: 114226 (2021) - 2020
- [j9]Everton Leonardo Skeika, Mathias Rodrigues Da Luz, Bruno José Torres Fernandes, Hugo Valadares Siqueira, Mauren Louise Sguario C. Andrade:
Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging. IEEE Access 8: 191519-191529 (2020) - [j8]Rafaela Covello de Freitas, Janderson Ferreira, Sidney M. L. de Lima, Bruno José Torres Fernandes, Byron L. D. Bezerra, Wellington P. dos Santos:
Gauss-Seidel Extreme Learning Machines. SN Comput. Sci. 1(4): 220 (2020) - 2018
- [j7]Alessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Structured Pyramidal Neural Networks. Int. J. Neural Syst. 28(5): 1750021:1-1750021:22 (2018) - [j6]Alessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Pyramidal neural networks with evolved variable receptive fields. Neural Comput. Appl. 29(12): 1443-1453 (2018) - 2017
- [j5]Pablo V. A. Barros, Nestor T. Maciel-Junior, Bruno J. T. Fernandes, Byron L. D. Bezerra, Sérgio M. M. Fernandes:
A dynamic gesture recognition and prediction system using the convexity approach. Comput. Vis. Image Underst. 155: 139-149 (2017) - 2015
- [j4]Diego G. S. Santos, Bruno J. T. Fernandes, Byron L. D. Bezerra:
HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps. Sensors 15(11): 28646-28664 (2015) - 2014
- [j3]Diego G. S. Santos, Rodrigo C. Neto, Bruno J. T. Fernandes, Byron L. D. Bezerra:
A Dynamic Gesture Recognition System based on CIPBR Algorithm. Polibits 50: 13-19 (2014) - 2013
- [j2]Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction. Expert Syst. Appl. 40(18): 7258-7266 (2013) - [j1]Bruno José Torres Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
Lateral Inhibition Pyramidal Neural Network for Image Classification. IEEE Trans. Cybern. 43(6): 2082-2092 (2013)
Conference and Workshop Papers
- 2023
- [c54]Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira:
Evaluation of Contrastive Learning for Electronic Component Detection. ESANN 2023 - [c53]João Vinicius Ribeiro De Andrade, Teobaldo Gabriel De Souza Junior, Leandro H. de S. Silva, Daisy Beserra Lucena, Bruno J. T. Fernandes:
Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach. LA-CCI 2023: 1-6 - [c52]João G. R. de Carvalho, Bruno J. T. Fernandes, Igor S. Farias, Camila F. S. Campos:
Analysis of different machine learning approaches in the context of urban mobility: a systematic review. LA-CCI 2023: 1-6 - [c51]Nathália Cauás, Cristian Millán-Arias, Débora Heloísa Silva De Brito, Cláudia Cristina Brayner De Oliveira Mota, Márcia Maria De Oliveira Da Fonseca, Aronita Rosenblatt, Bruno J. T. Fernandes:
Detection of Cavities in Radiographs Using Machine Learning: Approaches for Limited Data. LA-CCI 2023: 1-6 - [c50]Daniel Ribeiro Dessaune, Jornandes Dias Da Silva, Bruno José Torres Fernandes:
Study of an unsteady amperometric biosensor using a computational model. LA-CCI 2023: 1-6 - [c49]Agostinho Freire, Rafaella De Lima Roque, Leandro H. de S. Silva, Bruno J. T. Fernandes:
Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values. LA-CCI 2023: 1-6 - [c48]Antonio V. A. Lundgren, Cristian Millán-Arias, Alexandre R. M. Pereira, Lucas M. R. Santos, Carmelo J. A. Bastos Filho, Bruno J. T. Fernandes, Alexandre M. A. Maciel, Jorge Tortato, Alexandre Krzyzanovski, Renan Wille:
Optimization of Deep Neural Networks for Vehicle Classification. LA-CCI 2023: 1-6 - [c47]Cristian Millán-Arias, Bruno J. T. Fernandes, Sérgio Fernandes, Mavio Bispo:
General Cephalometric Landmark Detection for Different Source of X-Ray Images. LA-CCI 2023: 1-6 - [c46]Cristian Millán-Arias, Jean Felipe Coelho Ferreira, Lucas Matheus Da Silva Oliveira, Bruno J. T. Fernandes, Diogo Passarelli:
Anomaly Detection in Conveyor Belt Using a Deep Learning Model. LA-CCI 2023: 1-6 - [c45]Cristian Millán-Arias, Marie Chantelle Cruz Medina, Jean Felipe Coelho Ferreira, Lucas Matheus Da Silva Oliveira, Allana Rocha, Leandro Honorato de Souza Silva, Cleyton M. O. Rodrigues, João Fausto Lorenzato de Oliveira, Paulo Christiano Sobral, Nathália Cauás, Bruno José Torres Fernandes:
Legal Judgement Prediction: A comparative analysis of legal documents in Brazil. LA-CCI 2023: 1-6 - [c44]Letícia Portela, Angel Ayala, Bruno J. T. Fernandes, Igor S. Farias, Gervásio Neto, Mouglas Eugênio Nasário Gomes:
Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector. LA-CCI 2023: 1-6 - [c43]Ernesto Portugal, Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Sérgio Murilo Maciel Fernandes:
Time estimation for deep learning model's inference in distributed processing units. LA-CCI 2023: 1-6 - [c42]Allana Rocha, Bruno J. T. Fernandes, Leandro H. de S. Silva:
Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios. LA-CCI 2023: 1-6 - [c41]David Josué Barrientos Rojas, Bruno J. T. Fernandes, Cleyton M. O. Rodrigues, Leandro H. de S. Silva, Allana Rocha, Paulo Christiano Sobral:
Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification. LA-CCI 2023: 1-6 - [c40]Leandro H. de S. Silva, Agostinho Freire, George O. de A. Azevedo, Sergio C. Oliveira, Bruno J. T. Fernandes:
Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation. LA-CCI 2023: 1-5 - [c39]André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira:
Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach. LA-CCI 2023: 1-6 - 2022
- [c38]Lucas Candeia Teixeira, Júlio César Gomes De Barros, Bruno José Torres Fernandes, Carlo Marcelo Revoredo da Silva:
CatchPhish: Model for detecting homographic attacks on phishing pages. IJCNN 2022: 1-8 - [c37]Marie Chantelle Cruz Medina, Lucas Matheus Da Silva Oliveira, Jean Felipe Coelho Ferreira, Leandro Honorato de Souza Silva, Cleyton Mário de Oliveira Rodrigues, João Fausto Lorenzato de Oliveira, Paulo Christiano Sobral, Bruno Souza, Dionizio Feitosa, Bruno J. T. Fernandes:
Classification of Legal Documents in Portuguese Language Based on Summarization. LA-CCI 2022: 1-6 - [c36]David Josué Barrientos Rojas, Bruno J. T. Fernandes, Cleyton Mário de Oliveira Rodrigues, Leandro Honorato de Souza Silva, Allana Rocha, Paulo Christiano Sobral, Bruno Souza, Dionizio Feitosa, Juliana Barreto, Mabel Guimarães:
A Legal Information System for Intelligent Sentence Mining Applied to Civil Law. LA-CCI 2022: 1-6 - [c35]Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes:
Reinforcement Learning for UAV control with Policy and Reward Shaping. SCCC 2022: 1-8 - [c34]Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz:
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. SCCC 2022: 1-8 - [c33]Agostinho A. F. Júnior, Leandro H. de S. Silva, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira:
Learning from pseudo-labels: Self-training Electronic Components Detector for Waste Printed Circuit Boards. SIBGRAPI 2022: 252-257 - 2021
- [c32]André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira:
A hybrid sequential system for inflation forecasting. LA-CCI 2021: 1-6 - 2020
- [c31]Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo V. A. Barros:
CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning. ESANN 2020: 487-492 - [c30]George O. de A. Azevedo, Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, Sergio C. Oliveira:
Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning. ESANN 2020: 655-660 - [c29]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz, Richard Dazeley, Sérgio Fernandes:
A Robust Approach for Continuous Interactive Reinforcement Learning. HAI 2020: 278-280 - [c28]Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley:
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. ICDL-EPIROB 2020: 1-6 - [c27]Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo V. A. Barros, Sérgio Murilo Maciel Fernandes, Bruno J. T. Fernandes:
Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model. ICDL-EPIROB 2020: 1-6 - [c26]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - [c25]Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra, Bruno José Torres Fernandes, Donato Impedovo:
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. IJCNN 2020: 1-7 - [c24]David Josué Barrientos Rojas, Bruno José Torres Fernandes, Sérgio Murilo Maciel Fernandes:
A Review on Image Inpainting Techniques and Datasets. SIBGRAPI 2020: 240-247 - 2019
- [c23]Cristian Millán, Bruno J. T. Fernandes, Francisco Cruz:
Human feedback in continuous actor-critic reinforcement learning. ESANN 2019 - [c22]Angel Ayala, Estanislau Lima, Bruno J. T. Fernandes, Byron L. D. Bezerra, Francisco Cruz:
Lightweight and efficient octave convolutional neural network for fire recognition. LA-CCI 2019: 1-6 - [c21]Leandro H. de S. Silva, George O. de A. Azevedo, Bruno J. T. Fernandes, Byron L. D. Bezerra, Estanislau B. Lima, Sergio C. Oliveira:
Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning. LA-CCI 2019: 1-6 - 2018
- [c20]Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Non-negative Structured Pyramidal Neural Network for Pattern Recognition. IJCNN 2018: 1-7 - 2017
- [c19]Danilo Cesar Pereira, Bruno J. T. Fernandes:
A novel constructive algorithm for CANet. IJCNN 2017: 954-961 - [c18]Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Non-negative pyramidal neural network for parts-based learning. IJCNN 2017: 1709-1716 - [c17]Igor S. Farias, Bruno J. T. Fernandes, Edison Q. Albuquerque, Byron Leite Dantas Bezerra:
Tracking and counting of vehicles for flow analysis from urban traffic videos. LA-CCI 2017: 1-6 - [c16]Janderson Ferreira, Milla S. A. Ferro, Bruno J. T. Fernandes, Mêuser J. S. Valença, Carmelo José Albanez Bastos Filho, Pablo V. A. Barros:
Extreme learning machine autoencoder for data augmentation. LA-CCI 2017: 1-6 - [c15]Yves M. Galvão, Vinicius A. Albuquerque, Bruno J. T. Fernandes, Mêuser J. S. Valença:
Anomaly detection in smart houses: Monitoring elderly daily behavior for fall detecting. LA-CCI 2017: 1-6 - [c14]Tiago Lima, Bruno J. T. Fernandes, Pablo V. A. Barros:
Human action recognition with 3D convolutional neural network. LA-CCI 2017: 1-6 - 2016
- [c13]Nima Mousavi, Henrique Siqueira, Pablo V. A. Barros, Bruno J. T. Fernandes, Stefan Wermter:
Understanding how deep neural networks learn face expressions. IJCNN 2016: 227-234 - [c12]Hugo Leonardo Marcolino dos Santos, Bruno José Torres Fernandes, Sérgio Murilo Maciel Fernandes:
An AutoAssociative Neural Network for image segmentation. LA-CCI 2016: 1-6 - 2015
- [c11]Alessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Pyramidal Neural Networks with Variable Receptive Fields Designed by Genetic Algorithms. GECCO (Companion) 2015: 1487-1488 - [c10]Diego G. S. Santos, Rodrigo C. Neto, Bruno J. T. Fernandes, Byron L. D. Bezerra:
FSSGR: Feature Selection System to Dynamic Gesture Recognition. ICIAP Workshops 2015: 234-241 - 2014
- [c9]Alessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization. ICANN 2014: 667-674 - [c8]Bruno J. T. Fernandes, Diego Rativa:
Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z 5). ICANN 2014: 813-820 - 2013
- [c7]Rodrigo C. Brasileiro, Victor L. F. Souza, Bruno J. T. Fernandes, Adriano L. I. Oliveira:
Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm. IEEE Congress on Evolutionary Computation 2013: 1810-1817 - [c6]Pablo V. A. Barros, Nestor T. M. Junior, Juvenal M. M. Bisneto, Bruno J. T. Fernandes, Byron L. D. Bezerra, Sérgio M. M. Fernandes:
An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS. ICANN 2013: 412-419 - [c5]Pablo V. A. Barros, Nestor T. M. Junior, Juvenal M. M. Bisneto, Bruno J. T. Fernandes, Byron L. D. Bezerra, Sérgio M. M. Fernandes:
Convexity local contour sequences for gesture recognition. SAC 2013: 34-39 - 2011
- [c4]Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
Autoassociative Pyramidal Neural Network for face verification. IJCNN 2011: 1612-1617 - 2009
- [c3]Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
A receptive field based approach for face detection. IJCNN 2009: 803-810 - 2008
- [c2]Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields. HIS 2008: 126-131 - [c1]Bruno J. T. Fernandes, George D. C. Cavalcanti:
A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition. ICTAI (1) 2008: 227-230
Informal and Other Publications
- 2022
- [i11]Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes:
Reinforcement Learning for UAV control with Policy and Reward Shaping. CoRR abs/2212.03828 (2022) - [i10]Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz:
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. CoRR abs/2212.06967 (2022) - 2021
- [i9]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz:
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents. CoRR abs/2108.03730 (2021) - [i8]Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Richard Dazeley:
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. CoRR abs/2108.08911 (2021) - 2020
- [i7]Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo V. A. Barros:
CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning. CoRR abs/2004.05077 (2020) - [i6]Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra, Bruno José Torres Fernandes, Donato Impedovo:
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. CoRR abs/2005.14229 (2020) - [i5]Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno J. T. Fernandes:
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment. CoRR abs/2007.03363 (2020) - [i4]Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo V. A. Barros, Sérgio Murilo Maciel Fernandes, Bruno J. T. Fernandes:
Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model. CoRR abs/2008.02254 (2020) - [i3]Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley:
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. CoRR abs/2008.04627 (2020) - [i2]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR abs/2008.06866 (2020) - [i1]Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro, Yves M. Galvão, Pablo V. A. Barros, Bruno J. T. Fernandes:
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning. CoRR abs/2008.07965 (2020)
Coauthor Index
Byron L. D. Bezerra
aka: Byron Leite Dantas Bezerra
aka: Byron Leite Dantas Bezerra
Carmelo J. A. Bastos Filho
aka: Carmelo José Albanez Bastos Filho
aka: Carmelo José Albanez Bastos Filho
Agostinho A. F. Júnior
aka: Agostinho Freire
aka: Agostinho Freire
Leandro H. de S. Silva
aka: Leandro Honorato de Souza Silva
aka: Leandro Honorato de Souza Silva
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