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2020 – today
- 2023
[j15]Guilherme Ost, Daniel Y. Takahashi:
Sparse Markov Models for High-dimensional Inference. J. Mach. Learn. Res. 24: 279:1-279:54 (2023)- 2022
- [j14]Grover E. C. Guzman
, Daniel Yasumasa Takahashi, André Fujita:
A fast parameter estimator for large complex networks. J. Complex Networks 10(3) (2022) - [j13]Thiago T. Varella, Yisi S. Zhang, Daniel Y. Takahashi, Asif A. Ghazanfar:
A mechanism for punctuating equilibria during mammalian vocal development. PLoS Comput. Biol. 18(6) (2022) - 2021
- [c6]Renata B. Biazzi, André Fujita, Daniel Y. Takahashi:
Predicting soft robot's locomotion fitness. GECCO Companion 2021: 81-82 - 2020
- [j12]André Fujita, Eduardo Silva Lira, Suzana de Siqueira Santos, Silvia Yumi Bando, Gabriela Eleutério Soares, Daniel Yasumasa Takahashi:
A semi-parametric statistical test to compare complex networks. J. Complex Networks 8(2) (2020)
2010 – 2019
- 2017
- [j11]André Fujita, Daniel Yasumasa Takahashi, Joana Bisol Balardin, Maciel Calebe Vidal, João Ricardo Sato:
Correlation between graphs with an application to brain network analysis. Comput. Stat. Data Anal. 109: 76-92 (2017) - 2016
- [j10]Luiz A. Baccalá, Daniel Y. Takahashi, Koichi Sameshima:
Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications. IEEE Trans. Biomed. Eng. 63(12): 2450-2460 (2016) - 2015
- [j9]Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccalá:
On the statistical performance of Granger-causal connectivity estimators. Brain Informatics 2(2): 119-133 (2015) - [c5]Koichi Sameshima, Daniel Yasumasa Takahashi, Luiz Antonio Baccalá:
Partial directed coherence statistical performance characteristics in frequency domain. EMBC 2015: 5388-5391 - 2014
- [j8]Suzana de Siqueira Santos, Daniel Yasumasa Takahashi, Asuka Nakata, André Fujita:
A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings Bioinform. 15(6): 906-918 (2014) - [j7]André Fujita, Daniel Yasumasa Takahashi, Alexandre Galvão Patriota:
A non-parametric method to estimate the number of clusters. Comput. Stat. Data Anal. 73: 27-39 (2014) - [j6]Daniel Yasumasa Takahashi, Luiz A. Baccalá, Koichi Sameshima:
Canonical information flow decomposition among neural structure subsets. Frontiers Neuroinformatics 8: 49 (2014) - [j5]Asif A. Ghazanfar, Daniel Y. Takahashi:
Facial Expressions and the Evolution of the Speech Rhythm. J. Cogn. Neurosci. 26(6): 1196-1207 (2014) - [c4]Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccalá:
On the Statistical Performance of Connectivity Estimators in the Frequency Domain. Brain Informatics and Health 2014: 412-423 - 2013
- [j4]João Ricardo Sato, Daniel Yasumasa Takahashi, Marcelo Queiroz Hoexter, Katlin Brauer Massirer, André Fujita:
Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders. NeuroImage 77: 44-51 (2013) - [c3]Daniel Y. Takahashi, Darshana Narayanan, Asif A. Ghazanfar:
Development of self-monitoring essential for vocal interactions in marmoset monkeys. ICDL-EPIROB 2013: 1-2 - 2012
- [c2]Daniel Y. Takahashi, Darshana Narayanan, Asif A. Ghazanfar:
A computational model for vocal exchange dynamics and their development in marmoset monkeys. ICDL-EPIROB 2012: 1-2 - [i1]Daniel Yasumasa Takahashi, João Ricardo Sato, Carlos Eduardo Ferreira, André Fujita:
Discriminating different classes of biological networks by analyzing the graphs spectra distribution. CoRR abs/1208.2976 (2012) - 2010
- [j3]Daniel Y. Takahashi, Luiz A. Baccalá, Koichi Sameshima:
Information theoretic interpretation of frequency domain connectivity measures. Biol. Cybern. 103(6): 463-469 (2010)
2000 – 2009
- 2009
- [b1]Daniel Yasumasa Takahashi:
Measure of information flow with application in neuroscience (Medidas de fluxo de informação com aplicação em neurociência). University of São Paulo, Brazil, 2009 - 2007
- [c1]Luiz A. Baccalá, Koichi Sameshima, Daniel Y. Takahashi:
Generalized Partial Directed Coherence. DSP 2007: 163-166 - 2006
- [j2]João Ricardo Sato, Daniel Yasumasa Takahashi, Ellison Fernando Cardoso, Maria da Graça Morais Martin, Edson Amaro Júnior, Pedro Alberto Morettin:
Intervention Models in Functional Connectivity Identification Applied to fMRI. Int. J. Biomed. Imaging 2006: 27483:1-27483:7 (2006) - [j1]João Ricardo Sato, Edson Amaro Júnior, Daniel Yasumasa Takahashi, Marcelo de Maria Felix, Michael John Brammer, Pedro Alberto Morettin:
A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality. NeuroImage 31(1): 187-196 (2006)
Coauthor Index
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