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ORCIDFernando Quivira
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2010 – 2019
- 2019
[c12]Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A. Sommer, Dana H. Brooks, Deniz Erdogmus, Eugene Tunik:
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. NER 2019: 1122-1125- [i4]Matt Higger, Fernando Quivira, Deniz Erdogmus:
User-Adaptive Text Entry for Augmentative and Alternative Communication. CoRR abs/1910.01216 (2019) - 2018
- [c11]Fernando Quivira, Toshiaki Koike-Akino
, Ye Wang, Deniz Erdogmus:
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI 2018: 166-169 - [c10]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC 2018: 1964-1967 - [c9]Aziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus:
Incorporating temporal dependency on ERP based BCI. ISBI 2018: 752-756 - [c8]James McLean, Fernando Quivira, Deniz Erdogmus:
Improved classification in tactile BCIs using a noisy label model. ISBI 2018: 757-761 - [i3]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR abs/1809.05635 (2018) - 2017
- [c7]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding complex imagery hand gestures. EMBC 2017: 2968-2971 - [c6]Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus:
Information theoretic feature projection for single-trial brain-computer interfaces. MLSP 2017: 1-6 - [c5]Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. PETRA 2017: 335-338 - [i2]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding Complex Imagery Hand Gestures. CoRR abs/1703.02929 (2017) - 2016
- [c4]Shen Feng, Fernando Quivira, Gunar Schirner:
Framework for Rapid Development of Embedded Human-in-the-Loop Cyber-Physical Systems. BIBE 2016: 208-215 - [c3]Fernando Quivira, Simon Bedford, Richard Moore, John Beaty, David A. Castañón:
Sparse Data 3-D X-ray reconstructions on GPU processors. Computational Imaging 2016: 1-5 - [c2]Shen Feng, Mian Tang, Fernando Quivira, Tim Dyson, Filip Cuckov, Gunar Schirner:
EEGu2: an embedded device for brain/body signal acquisition and processing. RSP 2016: 19-25 - [i1]Matt Higger, Mohammad Moghadamfalahi, Fernando Quivira, Deniz Erdogmus:
Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees. CoRR abs/1606.02552 (2016) - 2011
- [j1]José Ángel Martínez Lorenzo, Carey M. Rappaport, Fernando Quivira:
Physical Limitations on Detecting Tunnels Using Underground-Focusing Spotlight Synthetic Aperture Radar. IEEE Trans. Geosci. Remote. Sens. 49(1-1): 65-70 (2011) - 2010
- [c1]Fernando Quivira, José Ángel Martínez Lorenzo, Carey M. Rappaport:
Impact of the wave number estimation in Underground Focusing SAR images. IGARSS 2010: 4310-4313
Coauthor Index
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