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Cassiano O. Becker
Cassiano O. Becker
Scientist at Microsoft (MSAI)
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Spectral mapping of brain functional connectivity from diffusion imaging
CO Becker, S Pequito, GJ Pappas, MB Miller, ST Grafton, DS Bassett, ...
Scientific reports 8 (1), 1411, 2018
1022018
Models of communication and control for brain networks: distinctions, convergence, and future outlook
P Srivastava, E Nozari, JZ Kim, H Ju, D Zhou, C Becker, F Pasqualetti, ...
Network Neuroscience 4 (4), 1122-1159, 2020
512020
Network design for controllability metrics
CO Becker, S Pequito, GJ Pappas, VM Preciado
IEEE Transactions on Control of Network Systems 7 (3), 1404-1415, 2020
242020
Large-scale dynamic modeling of task-fMRI signals via subspace system identification
CO Becker, DS Bassett, VM Preciado
Journal of neural engineering 15 (6), 066016, 2018
202018
Applying scrum and organizational patterns to multi-site software development
L Cordeiro, C Becker, R Barreto
82007
Spectral mapping of brain functional connectivity from diffusion imaging Sci
CO Becker, S Pequito, GJ Pappas, MB Miller, ST Grafton, DS Bassett, ...
Rep 8 (1), 1, 2018
62018
Models of communication and control for brain networks: Distinctions, convergence, and future outlook. Network Neuroscience, 4 (4), 1122–1159
P Srivastava, E Nozari, JZ Kim, H Ju, D Zhou, C Becker, DS Bassett
52020
Variational inference for linear systems with latent parameter space
CO Becker, VM Preciado
2019 American Control Conference (ACC), 5662-5667, 2019
52019
Identification of State-space Linear Time-varying Systems with Sum-of-norms Regularization
CO Becker, VM Preciado
2018 Annual American Control Conference (ACC), 2833-2838, 2018
22018
An application server approach for number portability in IMS networks
RG de Oliveira, P Sigrist, WA Higashino, CO Becker, C Pagani, J Silva
22010
Blind subspace system identification with Riemannian optimization
CO Becker, VM Preciado
2017 American Control Conference (ACC), 1474-1480, 2017
12017
Approximation of network linear operators using similarity shift filters
CO Becker, S Pequito, GJ Pappas, VM Preciado
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
12016
Identification of networks of Wilson-Cowan neuronal oscillators by inverse sigmoidal transformation
CO Becker, AN Khambhati, DS Bassett, VM Preciado
2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2016
12016
Node Similarities under Random Projections: Limits and Pathological Cases
T Tadić, C Becker, J Neville
arXiv preprint arXiv:2404.10148, 2024
2024
Data-driven Stabilization of Nonlinear Systems via Tree-Based Ensemble Learning
A Aydinoglu, CO Becker, VM Preciado
2019 IEEE 58th Conference on Decision and Control (CDC), 2732-2737, 2019
2019
Data-Driven Modeling, Analysis and Design of Networked Dynamical Systems with Applications in Neuroscience
C Becker
University of Pennsylvania, 2019
2019
Gradient Hyper-parameter Optimization for Manifold Regularization
CO Becker, PAV Ferreira
2013 12th International Conference on Machine Learning and Applications 2 …, 2013
2013
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Articles 1–17