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ORCIDEric A. Antonelo
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2020 – today
- 2024
[j13]Jonas Ekeland Kittelsen, Eric Aislan Antonelo
, Eduardo Camponogara, Lars Struen Imsland:
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. Appl. Soft Comput. 158: 111603 (2024)- [j12]Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman, Jean Panaioti Jordanou, Eduardo Rehbein de Souza, Jomi Fred Hübner:
Physics-informed neural nets for control of dynamical systems. Neurocomputing 579: 127419 (2024) - [c19]Rafael S. Toledo, Cristiano S. Oliveira, Vitor H. T. Oliveira, Eric A. Antonelo, Aldo von Wangenheim:
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. BRACIS (1) 2024: 80-95 - [c18]Eric Aislan Antonelo, Gustavo Claudio Karl Couto, Christian Möller, Pedro Henrique Fernandes:
Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving Based on Bird's-Eye View in Simulated Cities. BRACIS (2) 2024: 155-168 - [i13]Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland:
Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. CoRR abs/2403.02289 (2024) - [i12]Eric Mochiutti, Eric Aislan Antonelo, Eduardo Camponogara:
Physics-Informed Echo State Networks for Modeling Controllable Dynamical Systems. CoRR abs/2409.19140 (2024) - [i11]Rafael S. Toledo, Cristiano S. Oliveira, Vitor H. T. Oliveira, Eric A. Antonelo, Aldo von Wangenheim:
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads. CoRR abs/2411.16295 (2024) - 2023
- [j11]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin:
Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing 548: 126395 (2023) - [j10]João G. Zago, Eric A. Antonelo, Fabio L. Baldissera, Rodrigo T. Saad:
Benford's law: What does it say on adversarial images? J. Vis. Commun. Image Represent. 93: 103818 (2023) - [i10]João G. Zago, Eduardo Camponogara, Eric A. Antonelo:
Vertex-based reachability analysis for verifying ReLU deep neural networks. CoRR abs/2301.12001 (2023) - [i9]Gustavo Claudio Karl Couto, Eric Aislan Antonelo:
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments. CoRR abs/2302.04823 (2023) - 2022
- [j9]Jean Panaioti Jordanou, Iver Osnes, Sondre B. Hernes, Eduardo Camponogara, Eric Aislan Antonelo, Lars Imsland:
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. Adv. Eng. Informatics 52: 101553 (2022) - [j8]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara:
Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2615-2629 (2022) - [i8]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin:
Investigation of Proper Orthogonal Decomposition for Echo State Networks. CoRR abs/2211.17179 (2022) - 2021
- [c17]Gustavo Claudio Karl Couto, Eric Aislan Antonelo:
Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments. SSCI 2021: 1-7 - [c16]Irving G. B. Petrazzini, Eric A. Antonelo:
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution. SSCI 2021: 1-8 - [i7]João G. Zago, Fabio L. Baldissera, Eric A. Antonelo, Rodrigo T. Saad:
Benford's law: what does it say on adversarial images? CoRR abs/2102.04615 (2021) - [i6]Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman, Eduardo Rehbein de Souza, Jean Panaioti Jordanou, Jomi F. Hübner:
Physics-Informed Neural Nets-based Control. CoRR abs/2104.02556 (2021) - [i5]Gustavo Claudio Karl Couto, Eric Aislan Antonelo:
Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments. CoRR abs/2110.08586 (2021) - [i4]Irving G. B. Petrazzini, Eric A. Antonelo:
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution. CoRR abs/2111.02202 (2021) - [i3]Rafael S. Toledo, Eric A. Antonelo:
Face Reconstruction with Variational Autoencoder and Face Masks. CoRR abs/2112.02139 (2021) - 2020
- [c15]João G. Zago, Eric A. Antonelo, Fabio L. Baldissera, Rodrigo T. Saad:
It is double pleasure to deceive the deceiver: disturbing classifiers against adversarial attacks. SMC 2020: 160-165
2010 – 2019
- 2019
- [j7]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara:
Online learning control with Echo State Networks of an oil production platform. Eng. Appl. Artif. Intell. 85: 214-228 (2019) - [c14]Eric Aislan Antonelo, Radu State:
On importance weighting for electric fraud detection with dataset shifts. SMC 2019: 3235-3242 - 2018
- [j6]Eric Aislan Antonelo, Carlos Alberto Flesch, Filipe Schmitz:
Reservoir computing for detection of steady state in performance tests of compressors. Neurocomputing 275: 598-607 (2018) - 2017
- [j5]Eric A. Antonelo, Eduardo Camponogara, Bjarne Foss:
Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. Neural Networks 85: 106-117 (2017) - [c13]Eric A. Antonelo, Radu State:
Recurrent Dynamical Projection for Time Series-Based Fraud Detection. ICANN (2) 2017: 503-511 - [i2]Patrick O. Glauner, Angelo Migliosi, Jorge Augusto Meira, Eric Aislan Antonelo, Petko Valtchev, Radu State, Franck Bettinger:
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? CoRR abs/1702.03767 (2017) - [i1]Eric Aislan Antonelo, Carlos Alberto Flesch, Filipe Schmitz:
Reservoir Computing for Detection of Steady State in Performance Tests of Compressors. CoRR abs/1706.00782 (2017) - 2015
- [j4]Eric Aislan Antonelo, Benjamin Schrauwen:
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Trans. Neural Networks Learn. Syst. 26(4): 763-780 (2015) - [c12]Eric Aislan Antonelo, Eduardo Camponogara:
An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well. EANN 2015: 379-389 - 2012
- [j3]Eric A. Antonelo, Benjamin Schrauwen:
Learning slow features with reservoir computing for biologically-inspired robot localization. Neural Networks 25: 178-190 (2012) - 2010
- [c11]Eric A. Antonelo, Benjamin Schrauwen:
Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing. ICRA 2010: 2959-2964
2000 – 2009
- 2009
- [c10]Tim Waegeman, Eric A. Antonelo, Francis Wyffels, Benjamin Schrauwen:
Modular reservoir computing networks for imitation learning of multiple robot behaviors. CIRA 2009: 27-32 - [c9]Eric A. Antonelo, Benjamin Schrauwen:
Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. ICANN (1) 2009: 747-756 - [c8]Eric A. Antonelo, Benjamin Schrauwen:
Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. SMC 2009: 3818-3823 - 2008
- [j2]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Event detection and localization for small mobile robots using reservoir computing. Neural Networks 21(6): 862-871 (2008) - [c7]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Mobile robot control in the road sign problem using Reservoir Computing networks. ICRA 2008: 911-916 - [c6]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing. SBRN 2008: 93-98 - [c5]Eric Aislan Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network. SMC 2008: 1843-1848 - 2007
- [j1]Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van Campenhout:
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Process. Lett. 26(3): 233-249 (2007) - [c4]Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt, Marnix Nuttin:
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing. ICANN (2) 2007: 660-669 - 2006
- [c3]Eric A. Antonelo, Albert-Jan Baerveldt, Thorsteinn S. Rögnvaldsson, Maurício F. Figueiredo:
Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. IJCNN 2006: 498-505 - 2005
- [c2]Rodrigo Calvo, Maurício F. Figueiredo, Eric Aislan Antonelo:
Evolutionary fuzzy system for architecture control in a constructive neural network. CIRA 2005: 541-546 - [c1]Eric Aislan Antonelo, Maurício F. Figueiredo, Albert-Jan Baerveldt, Rodrigo Calvo:
Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination. CIRA 2005: 553-557
Coauthor Index
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