Eric A. Antonelo

Lars Struen Imsland

CoRR, 2024

2023

Benford's law: What does it say on adversarial images?

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., May, 2023

Investigation of proper orthogonal decomposition for echo state networks.

[BibT_eX]

[DOI]

Gustavo Claudio Karl Couto

Eduardo Gildin

Neurocomputing, 2023

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments.

[BibT_eX]

[DOI]

CoRR, 2023

Vertex-based reachability analysis for verifying ReLU deep neural networks.

[BibT_eX]

[DOI]

João G. Zago

CoRR, 2023

2022

Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2022

2021

Face Reconstruction with Variational Autoencoder and Face Masks.

[BibT_eX]

[DOI]

Rafael S. Toledo

CoRR, 2021

Physics-Informed Neural Nets-based Control.

[BibT_eX]

[DOI]

Laio Oriel Seman

Eduardo Rehbein de Souza

Jomi F. Hübner

CoRR, 2021

Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution.

[BibT_eX]

[DOI]

Irving G. B. Petrazzini

Gustavo Claudio Karl Couto

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

It is double pleasure to deceive the deceiver: disturbing classifiers against adversarial attacks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Online learning control with Echo State Networks of an oil production platform.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2019

On importance weighting for electric fraud detection with dataset shifts.

[BibT_eX]

[DOI]

Radu State

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Reservoir computing for detection of steady state in performance tests of compressors.

[BibT_eX]

[DOI]

Carlos Alberto Flesch

Filipe Schmitz

Neurocomputing, 2018

2017

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells.

[BibT_eX]

[DOI]

Bjarne Foss

Neural Networks, 2017

Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?

[BibT_eX]

[DOI]

CoRR, 2017

Recurrent Dynamical Projection for Time Series-Based Fraud Detection.

[BibT_eX]

[DOI]

Radu State

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2015

On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2015

2012

Learning slow features with reservoir computing for biologically-inspired robot localization.

[BibT_eX]

[DOI]

Neural Networks, 2012

2010

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Modular reservoir computing networks for imitation learning of multiple robot behaviors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

2008

Event detection and localization for small mobile robots using reservoir computing.

[BibT_eX]

[DOI]

Neural Networks, 2008

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2008

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Mobile robot control in the road sign problem using Reservoir Computing networks.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing.

[BibT_eX]

[DOI]

Jan M. Van Campenhout

Neural Process. Lett., 2007

Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

2006

Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors.

[BibT_eX]

[DOI]

Thorsteinn S. Rögnvaldsson

Albert-Jan Baerveldt

Maurício F. Figueiredo

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Evolutionary fuzzy system for architecture control in a constructive neural network.

[BibT_eX]

[DOI]

Rodrigo Calvo

Maurício F. Figueiredo

Proceedings of the CIRA 2005, 2005

Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination.

[BibT_eX]

[DOI]