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2020 – today
- 2023
[j6]Norman L. Tasfi, Eder Santana, Luisa H. B. Liboni
, Miriam A. M. Capretz:
Dynamic Successor Features for transfer learning and guided exploration. Knowl. Based Syst. 267: 110401 (2023)
2010 – 2019
- 2019
- [c11]Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon:
Exploring the Limitations of Behavior Cloning for Autonomous Driving. ICCV 2019: 9328-9337 - [i5]Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon:
Exploring the Limitations of Behavior Cloning for Autonomous Driving. CoRR abs/1904.08980 (2019) - 2018
- [j5]Mihael Cudic, Ryan Burt, Eder Santana, José C. Príncipe:
A flexible testing environment for visual question answering with performance evaluation. Neurocomputing 291: 128-135 (2018) - [j4]Eder Santana, Matthew S. Emigh, Pablo Zegers, José C. Príncipe:
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3738-3746 (2018) - [i4]Harald Schafer, Eder Santana, Andrew Haden, Riccardo Biasini:
A Commute in Data: The comma2k19 Dataset. CoRR abs/1812.05752 (2018) - 2017
- [j3]Francisco Airton Silva, Paulo Romero Martins Maciel, Eder Santana, Rúbens de Souza Matos Júnior, Jamilson Dantas:
Mobile cloud face recognition based on smart cloud ranking. Computing 99(3): 287-311 (2017) - [c10]Shujian Yu, Matthew Emigh, Eder Santana, José C. Príncipe:
Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. ICASSP 2017: 6115-6119 - [c9]Eder Santana, José C. Príncipe:
Perception Updating Networks: On architectural constraints for interpretable video generative models. ICLR (Workshop) 2017 - 2016
- [c8]Ewaldo Eder Carvalho Santana, Allan Kardec Barros, Christian Jutten, Eder Santana, Luis Claudio Oliveira:
A Simple Algorithm for Topographic ICA. BIOSIGNALS 2016: 150-155 - [c7]Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil:
Predicting visual attention using gamma kernels. ICASSP 2016: 1606-1610 - [c6]Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning auto-encoder. IJCNN 2016: 3296-3301 - [i3]Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning Auto-Encoder. CoRR abs/1603.06653 (2016) - [i2]Eder Santana, George Hotz:
Learning a Driving Simulator. CoRR abs/1608.01230 (2016) - [i1]Eder Santana, Matthew Emigh, Pablo Zerges, José C. Príncipe:
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks. CoRR abs/1611.00050 (2016) - 2015
- [c5]Eder Santana, Karl P. Dockendorf, José C. Príncipe:
Learning joint features for color and depth images with Convolutional Neural Networks for object classification. ICASSP 2015: 1320-1323 - [c4]Eder Santana, Goktug T. Cinar, José C. Príncipe:
Parallel flow in Deep Predictive Coding Networks. IJCNN 2015: 1-5 - [c3]Eder Santana, José C. Príncipe:
Mixed generative and supervised learning modes in Deep Predictive Coding Networks. IJCNN 2015: 1-4 - 2014
- [c2]Eder Santana, Austin J. Brockmeier, José C. Príncipe:
Joint optimization of algorithmic suites for EEG analysis. EMBC 2014: 2997-3000 - [c1]Austin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Projentropy: Using entropy to optimize spatial projections. ICASSP 2014: 4538-4542 - 2012
- [j2]Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Allan Kardec Barros:
Extraction of signals with higher order temporal structure using Correntropy. Signal Process. 92(8): 1844-1852 (2012) - 2010
- [j1]Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Raimundo Carlos Silvério Freire, Allan Kardec Barros:
Extraction of signals with specific temporal structure using kernel methods. IEEE Trans. Signal Process. 58(10): 5142-5150 (2010)
Coauthor Index
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