Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination. - Eric Aislan Antonelo; Maurício F. Figueiredo; Albert-Jan Baerveldt; Rodrigo Calvo (CIRA, 2005)

Evolutionary fuzzy system for architecture control in a constructive neural network. - Rodrigo Calvo; Maurício F. Figueiredo; Eric Aislan Antonelo (CIRA, 2005)

Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. - Eric A. Antonelo; Albert-Jan Baerveldt; Thorsteinn S. Rögnvaldsson; Maurício F. Figueiredo (IJCNN, 2006)

Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Xavier Dutoit; Dirk Stroobandt; Marnix Nuttin (ICANN (2), 2007)

Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Jan M. Van Campenhout (Neural Process. Lett., 2007)

Mobile robot control in the road sign problem using Reservoir Computing networks. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (ICRA, 2008)

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (SBRN, 2008)

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network. - Eric Aislan Antonelo; Benjamin Schrauwen; Dirk Stroobandt (SMC, 2008)

Event detection and localization for small mobile robots using reservoir computing. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (Neural Networks, 2008)

Modular reservoir computing networks for imitation learning of multiple robot behaviors. - Tim Waegeman; Eric A. Antonelo; Francis Wyffels; Benjamin Schrauwen (CIRA, 2009)

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. - Eric A. Antonelo; Benjamin Schrauwen (ICANN (1), 2009)

Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. - Eric A. Antonelo; Benjamin Schrauwen (SMC, 2009)

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen (ICRA, 2010)

Learning slow features with reservoir computing for biologically-inspired robot localization. - Eric A. Antonelo; Benjamin Schrauwen (Neural Networks, 2012)

An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well. - Eric Aislan Antonelo; Eduardo Camponogara (EANN, 2015)

On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. - Eric Aislan Antonelo; Benjamin Schrauwen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Recurrent Dynamical Projection for Time Series-Based Fraud Detection. - Eric A. Antonelo; Radu State (ICANN (2), 2017)

Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? - Patrick O. Glauner; Angelo Migliosi; Jorge Augusto Meira; Eric Aislan Antonelo; Petko Valtchev; Radu State; Franck Bettinger (CoRR, 2017)

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. - Eric A. Antonelo; Eduardo Camponogara; Bjarne Foss (Neural Networks, 2017)

Reservoir computing for detection of steady state in performance tests of compressors. - Eric Aislan Antonelo; Carlos Alberto Flesch; Filipe Schmitz (Neurocomputing, 2018)

On importance weighting for electric fraud detection with dataset shifts. - Eric Aislan Antonelo; Radu State (SMC, 2019)

Online learning control with Echo State Networks of an oil production platform. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (Eng. Appl. Artif. Intell., 2019)

It is double pleasure to deceive the deceiver: disturbing classifiers against adversarial attacks. - João G. Zago; Eric A. Antonelo; Fabio L. Baldissera; Rodrigo T. Saad (SMC, 2020)

Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments. - Gustavo Claudio Karl Couto; Eric Aislan Antonelo (SSCI, 2021)

Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution. - Irving G. B. Petrazzini; Eric A. Antonelo (SSCI, 2021)

Physics-Informed Neural Nets-based Control. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Eduardo Rehbein de Souza; Jean Panaioti Jordanou; Jomi F. Hübner (CoRR, 2021)

Face Reconstruction with Variational Autoencoder and Face Masks. - Rafael De S. Toledo; Eric A. Antonelo (CoRR, 2021)

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. - Jean Panaioti Jordanou; Iver Osnes; Sondre B. Hernes; Eduardo Camponogara; Eric Aislan Antonelo; Lars Imsland (Adv. Eng. Informatics, 2022)

Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (IEEE Trans. Neural Networks Learn. Syst., 2022)

Vertex-based reachability analysis for verifying ReLU deep neural networks. - João G. Zago; Eduardo Camponogara; Eric A. Antonelo (CoRR, 2023)

Investigation of proper orthogonal decomposition for echo state networks. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara; Eduardo Gildin (Neurocomputing, 2023)

Benford's law: What does it say on adversarial images? - João G. Zago; Eric A. Antonelo; Fabio L. Baldissera; Rodrigo T. Saad (J. Vis. Commun. Image Represent., 2023)

Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving Based on Bird's-Eye View in Simulated Cities. - Eric Aislan Antonelo; Gustavo Claudio Karl Couto; Christian Möller; Pedro Henrique Fernandes (BRACIS (2), 2024)

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. - Rafael De S. Toledo; Cristiano Souza de Oliveira; Vitor H. T. Oliveira; Eric A. Antonelo; Aldo von Wangenheim (BRACIS (1), 2024)

Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. - Jonas Ekeland Kittelsen; Eric Aislan Antonelo; Eduardo Camponogara; Lars Struen Imsland (Appl. Soft Comput., 2024)

Physics-informed neural nets for control of dynamical systems. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Jean Panaioti Jordanou; Eduardo Rehbein de Souza; Jomi Fred Hübner (Neurocomputing, 2024)

Physics-Informed Neural Networks for Control of single-phase flow systems governed by partial differential equations. - Luis Kin Miyatake; Eduardo Camponogara; Eric Aislan Antonelo; Alexey Pavlov 001 (Eng. Appl. Artif. Intell., 2025)

Physics-informed Echo State Networks for modeling controllable dynamical systems. - Eric Mochiutti; Eric Aislan Antonelo; Eduardo Camponogara (Neurocomputing, 2025)

Hierarchical Generative Adversarial Imitation Learning With Mid-Level Input Generation for Autonomous Driving on Urban Environments. - Gustavo Claudio Karl Couto; Eric Aislan Antonelo (IEEE Trans. Intell. Veh., 2025)