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ORCIDDébora C. Corrêa
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2020 – today
- 2024
[j9]Eugene Tan
, Débora C. Corrêa, Thomas Stemler, Michael Small:
A Backpropagation Algorithm for Inferring Disentagled Nodal Dynamics and Connectivity Structure of Dynamical Networks. IEEE Trans. Netw. Sci. Eng. 11(1): 613-624 (2024)- 2023
- [j8]David M. Walker, Débora C. Corrêa:
Network of compression networks to extract useful information from multivariate time series. J. Complex Networks 11(3) (2023) - [j7]David M. Walker, Débora C. Corrêa, Shannon D. Algar:
Directed Acyclic Graph networks to characterize phase space evolution with application to musical composition and industrial maintenance. Expert Syst. Appl. 211: 118586 (2023) - 2022
- [j6]Laurita dos Santos, Débora C. Corrêa, David M. Walker, Moacir Fernandes de Godoy, Elbert E. N. Macau, Michael Small:
Characterisation of neonatal cardiac dynamics using ordinal partition network. Medical Biol. Eng. Comput. 60(3): 829-842 (2022) - [c13]Jet Kye Chong, Débora C. Corrêa:
Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks. AI 2022: 339-352 - [c12]Braden Thorne, Thomas Jüngling, Michael Small, Débora C. Corrêa, Ayham A. Zaitouny:
A Novel Approach to Time Series Complexity via Reservoir Computing. AI 2022: 442-455 - [c11]Eugene Tan, Débora C. Corrêa, Thomas Stemler, Michael Small:
Machine Learning Inspired Fault Detection of Dynamical Networks. AI 2022: 470-483 - [e1]Haris Aziz, Débora C. Corrêa, Tim French:
AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13728, Springer 2022, ISBN 978-3-031-22694-6 [contents] - [i3]Eugene Tan, Débora C. Corrêa, Thomas Stemler, Michael Small:
Backpropagation on Dynamical Networks. CoRR abs/2207.03093 (2022) - 2021
- [j5]David M. Walker, Ayham A. Zaitouny, Débora C. Corrêa:
On using the modularity of recurrence network communities to detect change-point behaviour. Expert Syst. Appl. 176: 114837 (2021)
2010 – 2019
- 2019
- [c10]Thomas Jüngling, Thomas Lymburn, Thomas Stemler, Débora C. Corrêa, David M. Walker, Michael Small:
Reconstruction of Complex Dynamical Systems from Time Series using Reservoir Computing. ISCAS 2019: 1-5 - 2018
- [j4]Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello:
Designing architectures of convolutional neural networks to solve practical problems. Expert Syst. Appl. 94: 205-217 (2018) - [j3]Débora C. Corrêa, David M. Walker, Michael Small:
Detecting Determinism in Time Series with Complex Networks Constructed Using a Compression Algorithm. Int. J. Bifurc. Chaos 28(13): 1850165:1-1850165:13 (2018) - 2016
- [j2]Débora C. Corrêa, Francisco Aparecido Rodrigues:
A survey on symbolic data-based music genre classification. Expert Syst. Appl. 60: 190-210 (2016) - 2015
- [c9]Jorge Henrique Piazentin Ono, Fabio Sikansi, Débora Cristina Corrêa, Fernando Vieira Paulovich, Afonso Paiva, Luis Gustavo Nonato:
Concentric RadViz: Visual Exploration of Multi-task Classification. SIBGRAPI 2015: 165-172 - 2014
- [i2]Renato Fabbri, Vilson Vieira da Silva Junior, Antônio Carlos Silvano Pessotti, Débora Cristina Corrêa:
Psychophysics of musical elements in the discrete-time representation of sound. CoRR abs/1412.6853 (2014) - 2013
- [c8]Andres E. Coca, Débora C. Corrêa, Liang Zhao:
Computer-aided music composition with LSTM neural network and chaotic inspiration. IJCNN 2013: 1-7 - 2011
- [j1]Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Jander Moreira, Alexandre L. M. Levada, Débora C. Corrêa:
Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion. Comput. Sci. Eng. 13(3): 14-21 (2011) - [c7]Alexandre L. M. Levada, Débora C. Corrêa:
An adaptive approach for contextual audio denoising using local Fisher information. ISCAS 2011: 125-128 - [c6]Débora C. Corrêa, Alexandre L. M. Levada, Luciano da F. Costa:
Finding Community Structure in Music Genres Networks. ISMIR 2011: 447-452 - 2010
- [c5]Débora C. Corrêa, Luciano da Fontoura Costa, José Hiroki Saito:
Using Digraphs and a Second-Order Markovian Model for Rhythm Classification. CompleNet 2010: 85-95
2000 – 2009
- 2009
- [c4]João P. Papa, Alexandre X. Falcão, Alexandre L. M. Levada, Débora C. Corrêa, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas:
Fast and accurate holistic face recognition using Optimum-Path Forest. DPS 2009: 1-6 - [i1]Débora C. Corrêa, José Hiroki Saito, Luciano da F. Costa:
Musical Genres: Beating to the Rhythms of Different Drums. CoRR abs/0911.3842 (2009) - 2008
- [c3]Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito:
Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network. CSE 2008: 293-300 - [c2]Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito:
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. ICANN (1) 2008: 109-118 - [c1]Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito, João F. Mari:
Neural network based systems for computer-aided musical composition: supervised x unsupervised learning. SAC 2008: 1738-1742
Coauthor Index
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