Biological Inspirations in Neural Network Implementations of Autonomous Agents. - Mauro Roisenberg; Jorge Muniz Barreto; Fernando Mendes de Azevedo (SBIA, 1996)

Emergência da inteligência em agentes autônomos através de modelos inspirados na natureza. - Mauro Roisenberg (1998)

Constructing Software Autonomous Agents to Computer Network Management. - Analuchia S. M. de Franceschi; Jorge Muniz Barreto; Mauro Roisenberg (SBRN, 2000)

Employing Recurrent Artificial Neural Networks for Developing Baselines for Proactive Network Management. - Analuchia S. M. de Franceschi; R. A. de Moraes; Jorge Muniz Barreto; Mauro Roisenberg (Neural Networks and Computational Intelligence, 2003)

Behavior implementation in autonomous agents using modular and hierarchical neural networks. - Flávio de Almeida e Silva; Guilherme Bittencourt; Mauro Roisenberg; Jorge Muniz Barreto; Renato C. Vieira; Dennis Kerr Coelho (RAM, 2004)

Formal languages aspects as a tool for representation and implementation of behavior-based robotics. - Renato Vieira; Mauro Roisenberg; Olinto Furtado (RAM, 2004)

Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach. - Dennis Kerr Coelho; Mauro Roisenberg; Paulo José de Freitas Filho; Carlos Magno Couto Jacinto (WSC, 2005)

Continuous Authentication by Keystroke Dynamics Using Committee Machines. - Sergio Roberto de Lima e Silva Filho; Mauro Roisenberg (ISI, 2006)

Embodied Evolution with a New Genetic Programming Variation Algorithm. - Anderson Luiz; Fernandes Perez; Guilherme Bittencourt; Mauro Roisenberg (ICAS, 2008)

The development of a hybrid, distributed architecture for multiagent systems and its application in robot soccer. - Cladio J. Biazus; Mauro Roisenberg (IJCNN, 2008)

A new approach to control a population of mobile robots using genetic programming. - Anderson Luiz; Fernandes Perez; Guilherme Bittencourt; Mauro Roisenberg (SAC, 2008)

A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs. - Cicero A. M. da Silva Neves; Mauro Roisenberg; Guenther Schwedersky Neto (IJCNN, 2009)

A hybrid fuzzy-probabilistic system for risk analysis in petroleum exploration prospects. - Mauro Roisenberg; Cíntia Schoeninger; Reneu Rodrigues da Silva (Expert Syst. Appl., 2009)

Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data. - Abner Rodrigues Neto; Mauro Roisenberg; Guenther Schwedersky Neto (ICANN (3), 2010)

Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology. - Lídio Mauro Lima de Campos; Mauro Roisenberg; Roberto Célio Limão de Oliveira (IJCNN, 2011)

ACOℝ-V - An algorithm that incorporates the visibility heuristic to the ACO in continuous domain. - Cassio Rodrigo Conti; Mauro Roisenberg; Guenther Schwedersky Neto (IEEE Congress on Evolutionary Computation, 2012)

Network Intrusion Detection System Using Data Mining. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (EANN, 2012)

Spatial interpolation: an analytical comparison between kriging and RBF networks. - Vinicius Sousa Fazio; Mauro Roisenberg (SAC, 2013)

Fast Seismic Inversion Methods Using Ant Colony Optimization Algorithm. - Cassio Rodrigo Conti; Mauro Roisenberg; Guenther Schwedersky Neto; Milton José Porsani (IEEE Geosci. Remote. Sens. Lett., 2013)

Comparative study on local and global strategies for confidence estimation in neural networks and extensions to improve their predictive power. - Abner Cardoso Rodrigues Neto; Cícero Augusto Magalhães das Neves; Mauro Roisenberg (Neural Comput. Appl., 2013)

A topological niching covariance matrix adaptation for multimodal optimization. - Marcio Weck Pereira; Guenther Schwedersky Neto; Mauro Roisenberg (IEEE Congress on Evolutionary Computation, 2014)

Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions. - Diego G. Rodrigues; Gabriel Moura; Carlos Magno Couto Jacinto; Paulo José de Freitas Filho; Mauro Roisenberg (FUZZ-IEEE, 2014)

Bayesian Framework to Wavelet Estimation and Linearized Acoustic Inversion. - Leandro Passos de Figueiredo; Marcio Santos; Mauro Roisenberg; Guenther Schwedersky Neto; Wagner Figueiredo (IEEE Geosci. Remote. Sens. Lett., 2014)

Probabilistic Fuzzy Naive Bayes. - Gabriel Moura; Mauro Roisenberg (BRACIS, 2015)

Probabilistic Fuzzy Bayesian Network. - Gabriel Moura; Mauro Roisenberg (FSKD, 2015)

Fuzzy Social Force Model. - Altieres Del Sent; Mauro Roisenberg (FUZZ-IEEE, 2015)

Evolving Artificial Neural Networks through L-system and evolutionary computation. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (IJCNN, 2015)

Smart Crawler: Using Committee Machines for Web Pages Continuous Classification. - Luiz Henrique Zambom Santana; Ronaldo dos Santos Mello; Mauro Roisenberg (WebMedia, 2015)

Simulation of crowd behavior using fuzzy social force model. - Altieres Del Sent; Mauro Roisenberg; Paulo José de Freitas Filho (WSC, 2015)

Fast spatially coupled Bayesian linearized acoustic seismic inversion in Time Domain. - Fernando Bordignon 002; Leandro Passos de Figueiredo; Mauro Roisenberg; Bruno Barbosa Rodrigues (GEOINFO, 2016)

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. - Daniel Priori; Giseli de Sousa; Mauro Roisenberg; Christopher Stopford; Evelyn Hesse; Emmanuel Salawu; Neil Davey; Yi Sun 001 (ICANN (2), 2016)

A hybrid neuro-evolutive algorithm for neural network optimization. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (IJCNN, 2016)

Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation. - Sérgio Aurélio Ferreira Soares; Guenther Schwedersky Neto; Mauro Roisenberg (IJCNN, 2016)

Optimization of neural networks through grammatical evolution and a genetic algorithm. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (Expert Syst. Appl., 2016)

INFGMN - Incremental Neuro-Fuzzy Gaussian mixture network. - Tiago Mazzutti; Mauro Roisenberg; Paulo José de Freitas Filho (Expert Syst. Appl., 2017)

Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies. - Leandro Passos de Figueiredo; Dario Grana; Marcio Santos; Wagner Figueiredo; Mauro Roisenberg; Guenther Schwedersky Neto (J. Comput. Phys., 2017)

Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology. - Fernando Luis Bordignon; Leandro Passos de Figueiredo; Leonardo Azevedo 002; Amílcar Soares 002; Mauro Roisenberg; Guenther Schwedersky Neto (IEEE Trans. Geosci. Remote. Sens., 2017)

Petroleum Reservoir Connectivity Patterns Reconstruction Using Deep Convolutional Generative Adversarial Networks. - Rodrigo Exterkoetter; Fernando Bordignon 002; Leandro Passos de Figueiredo; Mauro Roisenberg; Bruno Barbosa Rodrigues (BRACIS, 2018)

Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN). - Tiago Mazzutti; Mauro Roisenberg; Paulo José de Freitas Filho (IJCNN, 2018)

Combined Convolutional Neural Network for High Frequency Restoration in Acoustic Impedance Images. - Isaac Sacramento; Mauro Roisenberg; Rodrigo Exterkoetter; Leandro Passos de Figueiredo; Bruno Barbosa Rodrigues (IJCNN, 2018)

Filter Pruning for Efficient Transfer Learning in Deep Convolutional Neural Networks. - Caique Reinhold; Mauro Roisenberg (ICAISC (1), 2019)

Acoustic Impedance Deblurring With a Deep Convolution Neural Network. - Isaac Sacramento; Elton Trindade; Mauro Roisenberg; Fernando Bordignon 002; Bruno Barbosa Rodrigues (IEEE Geosci. Remote. Sens. Lett., 2019)

Efficient 3D Semantic Segmentation of Seismic Images using Orthogonal Planes 2D Convolutional Neural Networks. - Arthur Bridi Guazzelli; Mauro Roisenberg; Bruno Barbosa Rodrigues (IJCNN, 2020)

Multi-view 3D seismic facies classifier. - Elton Alves Trindade; Mauro Roisenberg (SAC, 2021)

Direct Multivariate Simulation - A stepwise conditional transformation for multivariate geostatistical simulation. - Leandro Passos de Figueiredo; Tcharlies Schmitz; Rafael Lunelli; Mauro Roisenberg; Daniel Santana de Freitas; Dario Grana (Comput. Geosci., 2021)

Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs. - Daniel Theisges dos Santos; Mauro Roisenberg; Marivaldo dos Santos Nascimento (IDEAL, 2022)

Deep Recurrent Neural Networks Approach to Sedimentary Facies Classification Using Well Logs. - Daniel Theisges dos Santos; Mauro Roisenberg; Marivaldo dos Santos Nascimento (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Feature Extraction for Data Assimilation with Ensemble Smoother. - Rodrigo Exterkoetter; Gustavo Rachid Dutra; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Gilson Moura Silva Neto; Mauro Roisenberg (IJCNN, 2023)

Detection of Different Crop Growth Stages by Applying Deep Learning Over Sentinel-2 Images of Bahía, Brazil. - Yineth Viviana Camacho-De Angulo; Darwin Alexis Arrechea-Castillo; Yessica Carolina Cantero-Mosquera; Yady Tatiana Solano Correa; Mauro Roisenberg (IGARSS, 2024)

Fire Scars Mapping Over Brazilian Amazon Forest by Exploiting Sentinel-2 Data and Deep Learning. - Yineth Viviana Camacho-De Angulo; Nicolas Cechinel Rosa; Yady Tatiana Solano Correa; Mauro Roisenberg (IGARSS, 2024)

Ensemble Smoother with Fully Convolutional VAE for seismic facies inversion. - Rodrigo Exterkoetter; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Mauro Roisenberg; Bruno Barbosa Rodrigues (Comput. Geosci., 2024)

Incremental Gaussian Mixture Neural model for Geophysical inverse problems. - Tiago Mazzutti; Mauro Roisenberg; Bruno Barbosa Rodrigues (Comput. Geosci., 2026)