Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Ing Ren Tsang (HIS, 2008)

A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition. - Bruno J. T. Fernandes; George D. C. Cavalcanti (ICTAI (1), 2008)

A receptive field based approach for face detection. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2009)

Autoassociative Pyramidal Neural Network for face verification. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2011)

Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm. - Rodrigo C. Brasileiro; Victor L. F. Souza; Bruno J. T. Fernandes; Adriano L. I. Oliveira (IEEE Congress on Evolutionary Computation, 2013)

An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS. - Pablo V. A. Barros; Nestor T. M. Junior; Juvenal M. M. Bisneto; Bruno J. T. Fernandes; Byron L. D. Bezerra; Sérgio M. M. Fernandes (ICANN, 2013)

Convexity local contour sequences for gesture recognition. - Pablo V. A. Barros; Nestor T. M. Junior; Juvenal M. M. Bisneto; Bruno J. T. Fernandes; Byron L. D. Bezerra; Sérgio M. M. Fernandes (SAC, 2013)

AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (Expert Syst. Appl., 2013)

Lateral Inhibition Pyramidal Neural Network for Image Classification. - Bruno José Torres Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (IEEE Trans. Cybern., 2013)

Redes neurais com extração implícita de características para reconhecimento de padrões visuais. - Bruno José Torres Fernandes (2013)

Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z 5). - Bruno J. T. Fernandes; Diego Rativa (ICANN, 2014)

Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization. - Alessandra M. Soares; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (ICANN, 2014)

A Dynamic Gesture Recognition System based on CIPBR Algorithm. - Diego G. S. Santos; Rodrigo C. Neto; Bruno J. T. Fernandes; Byron L. D. Bezerra (Polibits, 2014)

Pyramidal Neural Networks with Variable Receptive Fields Designed by Genetic Algorithms. - Alessandra M. Soares; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (GECCO (Companion), 2015)

FSSGR: Feature Selection System to Dynamic Gesture Recognition. - Diego G. S. Santos; Rodrigo C. Neto; Bruno J. T. Fernandes; Byron L. D. Bezerra (ICIAP Workshops, 2015)

HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps. - Diego G. S. Santos; Bruno J. T. Fernandes; Byron L. D. Bezerra (Sensors, 2015)

Understanding how deep neural networks learn face expressions. - Nima Mousavi; Henrique Siqueira; Pablo V. A. Barros; Bruno J. T. Fernandes; Stefan Wermter (IJCNN, 2016)

An AutoAssociative Neural Network for image segmentation. - Hugo Leonardo Marcolino dos Santos; Bruno José Torres Fernandes; Sérgio Murilo Maciel Fernandes (LA-CCI, 2016)

Non-negative pyramidal neural network for parts-based learning. - Milla S. A. Ferro; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (IJCNN, 2017)

A novel constructive algorithm for CANet. - Danilo Cesar Pereira; Bruno J. T. Fernandes (IJCNN, 2017)

Tracking and counting of vehicles for flow analysis from urban traffic videos. - Igor S. Farias; Bruno J. T. Fernandes; Edison Q. Albuquerque; Byron Leite Dantas Bezerra (LA-CCI, 2017)

Extreme learning machine autoencoder for data augmentation. - Janderson Ferreira; Milla S. A. Ferro; Bruno J. T. Fernandes; Mêuser J. S. Valença; Carmelo José Albanez Bastos Filho; Pablo V. A. Barros (LA-CCI, 2017)

Anomaly detection in smart houses: Monitoring elderly daily behavior for fall detecting. - Yves M. Galvão; Vinicius A. Albuquerque; Bruno J. T. Fernandes; Mêuser J. S. Valença (LA-CCI, 2017)

Human action recognition with 3D convolutional neural network. - Tiago Lima; Bruno J. T. Fernandes; Pablo V. A. Barros (LA-CCI, 2017)

A dynamic gesture recognition and prediction system using the convexity approach. - Pablo V. A. Barros; Nestor T. Maciel-Junior; Bruno J. T. Fernandes; Byron L. D. Bezerra; Sérgio M. M. Fernandes (Comput. Vis. Image Underst., 2017)

Non-negative Structured Pyramidal Neural Network for Pattern Recognition. - Milla S. A. Ferro; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (IJCNN, 2018)

Structured Pyramidal Neural Networks. - Alessandra M. Soares; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (Int. J. Neural Syst., 2018)

Pyramidal neural networks with evolved variable receptive fields. - Alessandra M. Soares; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho (Neural Comput. Appl., 2018)

Human feedback in continuous actor-critic reinforcement learning. - Cristian Millán 001; Bruno J. T. Fernandes; Francisco Cruz 002 (ESANN, 2019)

Lightweight and efficient octave convolutional neural network for fire recognition. - Angel Ayala; Estanislau Lima; Bruno J. T. Fernandes; Byron L. D. Bezerra; Francisco Cruz 002 (LA-CCI, 2019)

Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning. - Leandro H. de S. Silva; George O. de A. Azevedo; Bruno J. T. Fernandes; Byron L. D. Bezerra; Estanislau B. Lima; Sergio C. Oliveira (LA-CCI, 2019)

Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning. - George O. de A. Azevedo; Leandro H. de S. Silva; Agostinho A. F. Júnior; Bruno J. T. Fernandes; Sergio C. Oliveira (ESANN, 2020)

CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning. - Janderson Ferreira; Agostinho A. F. Júnior; Yves M. Galvão; Bruno J. T. Fernandes; Pablo V. A. Barros (ESANN, 2020)

A Robust Approach for Continuous Interactive Reinforcement Learning. - Cristian Millán-Arias; Bruno J. T. Fernandes; Francisco Cruz 002; Richard Dazeley; Sérgio Fernandes 001 (HAI, 2020)

A Comparison of Humanoid Robot Simulators: A Quantitative Approach. - Angel Ayala; Francisco Cruz 002; Diego Campos; Rodrigo Rubio; Bruno J. T. Fernandes; Richard Dazeley (ICDL-EPIROB, 2020)

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model. - Janderson Ferreira; Agostinho A. F. Júnior; Yves M. Galvão; Pablo V. A. Barros; Sérgio Murilo Maciel Fernandes; Bruno J. T. Fernandes (ICDL-EPIROB, 2020)

KutralNet: A Portable Deep Learning Model for Fire Recognition. - Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (IJCNN, 2020)

FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. - Celso A. M. Lopes Junior; Matheus Henrique M. da Silva; Byron Leite Dantas Bezerra; Bruno José Torres Fernandes; Donato Impedovo (IJCNN, 2020)

A Review on Image Inpainting Techniques and Datasets. - David Josué Barrientos Rojas; Bruno José Torres Fernandes; Sérgio Murilo Maciel Fernandes (SIBGRAPI, 2020)

Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging. - Everton Leonardo Skeika; Mathias Rodrigues Da Luz; Bruno José Torres Fernandes; Hugo Valadares Siqueira; Mauren Louise Sguario C. Andrade (IEEE Access, 2020)

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment. - Ithan Moreira; Javier Rivas; Francisco Cruz 002; Richard Dazeley; Angel Ayala; Bruno J. T. Fernandes (CoRR, 2020)

Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning. - Janderson Ferreira; Agostinho A. F. Júnior; Letícia Castro; Yves M. Galvão; Pablo V. A. Barros; Bruno J. T. Fernandes (CoRR, 2020)

Gauss-Seidel Extreme Learning Machines. - Rafaela Covello de Freitas; Janderson Ferreira; Sidney M. L. de Lima; Bruno José Torres Fernandes; Byron L. D. Bezerra; Wellington P. dos Santos (SN Comput. Sci., 2020)

A hybrid sequential system for inflation forecasting. - André L. S. Xavier; Bruno J. T. Fernandes; João F. L. de Oliveira (LA-CCI, 2021)

A Framework for Anomaly Identification Applied on Fall Detection. - Yves M. Galvão; Letícia Portela; Janderson Ferreira; Pablo Barros 001; Roberta Andrade de Araújo Fagundes; Bruno J. T. Fernandes (IEEE Access, 2021)

A Robust Approach for Continuous Interactive Actor-Critic Algorithms. - Cristian Millán-Arias; Bruno J. T. Fernandes; Francisco Cruz 002; Richard Dazeley; Sérgio Fernandes 001 (IEEE Access, 2021)

Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents. - Cristian Millán-Arias; Bruno J. T. Fernandes; Francisco Cruz 002 (CoRR, 2021)

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. - Angel Ayala; Francisco Cruz 002; Bruno J. T. Fernandes; Richard Dazeley (CoRR, 2021)

A multimodal approach using deep learning for fall detection. - Yves M. Galvão; Janderson Ferreira; Vinicius A. Albuquerque; Pablo V. A. Barros; Bruno J. T. Fernandes (Expert Syst. Appl., 2021)

CatchPhish: Model for detecting homographic attacks on phishing pages. - Lucas Candeia Teixeira; Júlio César Gomes De Barros; Bruno José Torres Fernandes; Carlo Marcelo Revoredo da Silva (IJCNN, 2022)

Classification of Legal Documents in Portuguese Language Based on Summarization. - 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 (LA-CCI, 2022)

A Legal Information System for Intelligent Sentence Mining Applied to Civil Law. - 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 (LA-CCI, 2022)

Reinforcement Learning for UAV control with Policy and Reward Shaping. - Cristian Millán-Arias; Ruben Contreras; Francisco Cruz 002; Bruno J. T. Fernandes (SCCC, 2022)

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. - Hugo Muñoz; Ernesto Portugal; Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002 (SCCC, 2022)

Learning from pseudo-labels: Self-training Electronic Components Detector for Waste Printed Circuit Boards. - Agostinho A. F. Júnior; Leandro H. de S. Silva; Bruno J. T. Fernandes; George O. de A. Azevedo; Sergio C. Oliveira (SIBGRAPI, 2022)

Convolution Optimization in Fire Classification. - Angel Ayala; Bruno José Torres Fernandes; Francisco Cruz 002; David L. Macêdo; Cleber Zanchettin (IEEE Access, 2022)

A Review of Neural Networks for Anomaly Detection. - José Edson De Albuquerque Filho; Laislla C. P. Brandão; Bruno José Torres Fernandes; Alexandre M. A. Maciel (IEEE Access, 2022)

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment. - Ernesto Portugal; Francisco Cruz 002; Angel Ayala; Bruno J. T. Fernandes (Algorithms, 2022)

Piracema.io: A rules-based tree model for phishing prediction. - Carlo Marcelo Revoredo da Silva; Bruno José Torres Fernandes; Eduardo Luzeiro Feitosa; Vinicius Cardoso Garcia (Expert Syst. Appl., 2022)

Synthesis of Satellite-Like Urban Images From Historical Maps Using Conditional GAN. - Henrique J. A. Andrade; Bruno J. T. Fernandes (IEEE Geosci. Remote. Sens. Lett., 2022)

Event-Based Angular Speed Measurement and Movement Monitoring. - George Oliveira de Araújo Azevedo; Bruno José Torres Fernandes; Leandro Honorato de Souza Silva; Agostinho Freire; Rogério Pontes de Araújo; Francisco Cruz 002 (Sensors, 2022)

Evaluation of Contrastive Learning for Electronic Component Detection. - Leandro H. de S. Silva; Agostinho A. F. Júnior; Bruno J. T. Fernandes; George O. de A. Azevedo; Sergio C. Oliveira (ESANN, 2023)

Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach. - João Vinicius Ribeiro De Andrade; Teobaldo Gabriel de Souza Junior; Leandro H. de S. Silva; Daisy Beserra Lucena; Bruno J. T. Fernandes (LA-CCI, 2023)

Analysis of different machine learning approaches in the context of urban mobility: a systematic review. - João G. R. de Carvalho; Bruno J. T. Fernandes; Igor S. Farias; Camila F. S. Campos (LA-CCI, 2023)

Detection of Cavities in Radiographs Using Machine Learning: Approaches for Limited Data. - 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 (LA-CCI, 2023)

Study of an unsteady amperometric biosensor using a computational model. - Daniel Ribeiro Dessaune; Jornandes Dias Da Silva; Bruno José Torres Fernandes (LA-CCI, 2023)

Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values. - Agostinho Freire; Rafaella De Lima Roque; Leandro H. de S. Silva; Bruno J. T. Fernandes (LA-CCI, 2023)

Optimization of Deep Neural Networks for Vehicle Classification. - 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 (LA-CCI, 2023)

General Cephalometric Landmark Detection for Different Source of X-Ray Images. - Cristian Millán-Arias; Bruno J. T. Fernandes; Sérgio Fernandes 001; Mavio Bispo (LA-CCI, 2023)

Anomaly Detection in Conveyor Belt Using a Deep Learning Model. - Cristian Millán-Arias; Jean Felipe Coelho Ferreira; Lucas Matheus Da Silva Oliveira; Bruno J. T. Fernandes; Diogo Passarelli (LA-CCI, 2023)

Legal Judgement Prediction: A comparative analysis of legal documents in Brazil. - 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 (LA-CCI, 2023)

Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector. - Letícia Portela; Angel Ayala; Bruno J. T. Fernandes; Igor S. Farias; Gervásio Neto; Mouglas Eugênio Nasário Gomes (LA-CCI, 2023)

Time estimation for deep learning model's inference in distributed processing units. - Ernesto Portugal; Angel Ayala; Francisco Cruz 002; Bruno J. T. Fernandes; Sérgio Murilo Maciel Fernandes (LA-CCI, 2023)

Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios. - Allana Rocha; Bruno J. T. Fernandes; Leandro H. de S. Silva (LA-CCI, 2023)

Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification. - David Josué Barrientos Rojas; Bruno J. T. Fernandes; Cleyton M. O. Rodrigues; Leandro H. de S. Silva; Allana Rocha; Paulo Christiano Sobral (LA-CCI, 2023)

Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation. - Leandro H. de S. Silva; Agostinho Freire; George O. de A. Azevedo; Sergio C. Oliveira; Bruno J. T. Fernandes (LA-CCI, 2023)

Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach. - André L. S. Xavier; Bruno J. T. Fernandes; João F. L. de Oliveira (LA-CCI, 2023)

A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic. - André L. S. Xavier; Bruno J. T. Fernandes; João F. L. Oliveira (IEEE Access, 2023)

Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach. - João V. R. de Andrade; Bruno J. T. Fernandes; André R. L. C. Izídio; Nilson M. da Silva Filho; Francisco Cruz 002 (Algorithms, 2023)

Proxemic behavior in navigation tasks using reinforcement learning. - Cristian Millán-Arias; Bruno J. T. Fernandes; Francisco Cruz 002 (Neural Comput. Appl., 2023)

Nova: A Dynamic Emotion-Based Narrator for Competitive Games. - Nathália Cauás; Leandro H. de S. Silva; Bruno J. T. Fernandes (ACII (Workshops and Demos), 2024)

Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX, Decision Trees, and Artificial Neural Networks. - João V. R. de Andrade; Igor L. B. da Silva; Teobaldo Gabriel de Souza Junior; Leandro H. de S. Silva; Agostinho Freire; Daisy Beserra Lucena; Bruno J. T. Fernandes (BRACIS (4), 2024)

Safety first: Toward safe action selection with contextual affordances. - Inés Apablaza; Martín Saavedra; Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002 (LA-CCI, 2024)

eXplainable Reinforcement Learning Using Introspection in a Competitive Scenario. - Alfonso Opazo; Angel Ayala; Pablo V. A. Barros; Bruno J. T. Fernandes; Francisco Cruz 002 (LA-CCI, 2024)

The use of reinforcement learning algorithms in object tracking: A systematic literature review. - David Josué Barrientos Rojas; Marie Chantelle Cruz Medina; Bruno J. T. Fernandes; Pablo V. A. Barros (Neurocomputing, 2024)

Beyond clean data: Exploring the effects of label noise on object detection performance. - Agostinho Freire; Leandro H. de S. Silva; João V. R. de Andrade; George O. de A. Azevedo; Bruno J. T. Fernandes (Knowl. Based Syst., 2024)

Anomaly Detection in Smart Houses for Healthcare. - Yves M. Galvão; Letícia Castro; Janderson Ferreira; Fernando Buarque de Lima Neto; Roberta Andrade de Araújo Fagundes; Bruno J. T. Fernandes (SN Comput. Sci., 2024)

UAV control in autonomous object-goal navigation: a systematic literature review. - Angel Ayala; Letícia Portela; Fernando Buarque; Bruno J. T. Fernandes; Francisco Cruz 002 (Artif. Intell. Rev., 2024)

Towards Robust Facial Recognition: Gabor Filter-Based Feature Extraction for NIR-VIS Heterogeneous Face Recognition. - João V. R. de Andrade; Agostinho Freire; Guilherme Carvalho Pereira; Cristian Millán-Arias; Bruno J. T. Fernandes; Carmelo J. A. Bastos Filho; Jorge Tortato; Luiz Da Rocha; Alexandre M. A. Maciel (SAC, 2025)

Identification of Anomalous Behavior Through the Observation of an Individual's Emotional Variation: A Systematic Review. - Monique S. L. S. Tomaz; Bruno J. T. Fernandes; Alessandra Sciutti (IEEE Access, 2025)

Towards serious games through a playful approach for children with autism spectrum disorder. - Franciely Alves de Souza; Suzerlly Vanderley Lopes Pires; Sara Raquel Araujo Leal; Cristian Millán-Arias; Evanderson Heleno do Aguiar; Rogério Pontes de Araújo; Manoel Henrique da Nóbrega Marinho; Bruno José Torres Fernandes; Carlo Marcelo Revoredo da Silva (Int. J. Child Comput. Interact., 2025)

GEN Self-Labeling Object Detector for PCB Recycling Evaluation. - Leandro Honorato de Souza Silva; Agostinho Freire; George O. de A. Azevedo; Sérgio Campello Oliveira; Carlo Marcelo Revoredo da Silva; Bruno J. T. Fernandes (IEEE Open J. Comput. Soc., 2025)