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André K. Takahata
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2020 – today
- 2021
- [c5]Paula G. Rodrigues, Carlos Alberto Stefano Filho, André K. Takahata, Ricardo Suyama, Romis Attux, Gabriela Castellano, João Ricardo Sato, Slawomir J. Nasuto, Diogo C. Soriano:
Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs? COMPLEX NETWORKS 2021: 688-699
2010 – 2019
- 2019
- [c4]Mario Minami, Marco Aurelio Cazarotto Gomes, Ricardo Suyama, Aline de Oliveira Neves Panazio, André Kazuo Takahata, Celso Setsuo Kurashima, Fernando Silva de Moura, João Henrique Kleinschmidt, Luneque del Rio de Souza e Silva Junior:
A Scaffolding Empathic Methodology in the Robotics Teacher Formation Using Log Book and the BNCC References. LARS/SBR/WRE 2019: 435-440 - 2018
- [j2]Kenji Nose Filho, André K. Takahata, Renato Rocha Lopes, João Marcos Travassos Romano:
Improving Sparse Multichannel Blind Deconvolution with Correlated Seismic Data: Foundations and Further Results. IEEE Signal Process. Mag. 35(2): 41-50 (2018) - [c3]Mario Minami, André Kazuo Takahata, Andre Ponchet, Celso Setsuo Kurashima, Denis Gustavo Fantinato, Tiago Oliveira, Thays Braga:
Cooperative Learning in Robotics Teacher Formative Assessment Strategy Integrated with Brazilian National High School Exam - ENEM: How Digital Pedagogy Can Build a Bridge between Curricula and Projects. LARS/SBR/WRE 2018: 577-584 - 2017
- [c2]Kenji Nose Filho, André K. Takahata, Ricardo Suyama, Renato Rocha Lopes, João M. T. Romano:
On Minimum Entropy Deconvolution of Bi-level Images. LVA/ICA 2017: 489-498 - 2012
- [j1]André K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato Rocha Lopes, João Marcos Travassos Romano, Martin Tygel:
Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. IEEE Signal Process. Mag. 29(4): 27-35 (2012) - 2010
- [c1]Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux:
Blind Extraction of the Sparsest Component. LVA/ICA 2010: 394-401
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