Eder Santana

Orcid: 0000-0003-1261-6382

According to our database1, Eder Santana authored at least 20 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2018
2020
2022
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Dynamic Successor Features for transfer learning and guided exploration.
Knowl. Based Syst., 2023

2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

A flexible testing environment for visual question answering with performance evaluation.
Neurocomputing, 2018

A Commute in Data: The comma2k19 Dataset.
CoRR, 2018

2017
Mobile cloud face recognition based on smart cloud ranking.
Computing, 2017

Perception Updating Networks: On architectural constraints for interpretable video generative models.
Proceedings of the 5th International Conference on Learning Representations, 2017

Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Learning a Driving Simulator.
CoRR, 2016

Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks.
CoRR, 2016

Information Theoretic-Learning auto-encoder.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Predicting visual attention using gamma kernels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Simple Algorithm for Topographic ICA.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Mixed generative and supervised learning modes in Deep Predictive Coding Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Parallel flow in Deep Predictive Coding Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning joint features for color and depth images with Convolutional Neural Networks for object classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Projentropy: Using entropy to optimize spatial projections.
Proceedings of the IEEE International Conference on Acoustics, 2014

Joint optimization of algorithmic suites for EEG analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
Extraction of signals with higher order temporal structure using Correntropy.
Signal Process., 2012

2010
Extraction of signals with specific temporal structure using kernel methods.
IEEE Trans. Signal Process., 2010


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