Follow
Maria V Ruiz Blondet
Maria V Ruiz Blondet
Research Engineer, Neurable
Verified email at neurable.com - Homepage
Title
Cited by
Cited by
Year
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics
BC Armstrong, MV Ruiz-Blondet, N Khalifian, KJ Kurtz, Z Jin, S Laszlo
Neurocomputing 166, 59-67, 2015
1952015
CEREBRE: A novel method for very high accuracy event-related potential biometric identification
MV Ruiz-Blondet, Z Jin, S Laszlo
IEEE Transactions on Information Forensics and Security 11 (7), 1618-1629, 2016
1682016
A survey on brain biometrics
Q Gui, MV Ruiz-Blondet, S Laszlo, Z Jin
ACM Computing Surveys (CSUR) 51 (6), 1-38, 2019
1222019
A direct comparison of active and passive amplification electrodes in the same amplifier system
S Laszlo, M Ruiz-Blondet, N Khalifian, F Chu, Z Jin
Journal of neuroscience methods 235, 298-307, 2014
862014
Assessment of permanence of non-volitional EEG brainwaves as a biometric
MVR Blondet, S Laszlo, Z Jin
IEEE International Conference on Identity, Security and Behavior Analysis …, 2015
432015
A wearable real-time BCI system based on mobile cloud computing
MVR Blondet, A Badarinath, C Khanna, Z Jin
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 739-742, 2013
392013
Permanence of the CEREBRE brain biometric protocol
MV Ruiz-Blondet, Z Jin, S Laszlo
Pattern Recognition Letters, 2017
342017
A residual feature-based replay attack detection approach for brainprint biometric systems
Q Gui, W Yang, Z Jin, MV Ruiz-Blondet, S Laszlo
2016 IEEE International Workshop on Information Forensics and Security (WIFS …, 2016
292016
Towards EEG biometrics: Pattern matching approaches for user identification
Q Gui, Z Jin, MVR Blondet, S Laszlo, W Xu
IEEE International Conference on Identity, Security and Behavior Analysis …, 2015
272015
Multichannel EEG-based biometric using improved RBF neural networks
Q Gui, Z Jin, W Xu, MV Ruiz-Blondet, S Laszlo
2015 IEEE signal processing in medicine and biology symposium (spmb), 1-6, 2015
212015
Brainprint: Identifying unique features of neural activity with machine learning
M Ruiz-Blondet, N Khlaifian, B Armstrong, Z Jin, K Kurtz, S Laszlo
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
202014
Brainwaves as authentication method: Proving feasibility under two different approaches
MVR Blondet, N Khalifian, KJ Kurtz, S Laszlo, Z Jin
2014 40th Annual Northeast Bioengineering Conference (NEBEC), 1-2, 2014
92014
EEG-based focus estimation using neurable’s enten headphones and analytics platform
R Alcaide, N Agarwal, J Candassamy, S Cavanagh, M Lim, ...
bioRxiv, 2021.06. 21.448991, 2021
82021
Towards eeg biometrics: similarity-based approaches for user identification
Q Gui, Z Jin, MVR Blondet, S Laszlo, W Xu
Proc. of the IEEE Int. Conf. on Identity, Security and Behavior Analysis, 1-6, 2015
82015
An unsupervised, EEG-based person identification approach using convolutional neural networks
Q Gui, W Yang, MV Ruiz-Blondet, S Laszlo, Z Jin
Proc. 42nd Annu. Northeast Bioeng. Conf.(NEBEC), 1-2, 2016
62016
Brainprint: Assessing biometric uniqueness of EEG with machine learning
MV Ruiz-Blondet, N Khalifian, C Greenwald, K Kurtz, Z Jin
Psychophysiology 51, S66-S66, 2014
12014
Behavioral and Neural Correlates of Visual and Auditory Hallucinations Elicited Through Classical Conditioning
MVR Blondet
State University of New York at Binghamton, 2020
2020
BRAINHACK: EVALUATING THE FEASIBILITY OF STEADY-STATE IMPERSONATION ATTACKS ON BRAIN BIOMETRICS
M Ruiz-Blondet, N Lista, S Laszlo
PSYCHOPHYSIOLOGY 55, S37-S37, 2018
2018
NETWORK ANALYSIS OF UNIQUENESS IN BRAIN BIOMETRIC DATA
M Ruiz-Blondet, S Laszlo
PSYCHOPHYSIOLOGY 54, S96-S96, 2017
2017
DO WAVELETS PROVIDE AN ADVANTAGE OVER TIME DOMAIN CLASSIFICATION FOR ERP BIOMETRICS?
M Ruiz-Blondet, E Anderson, S Laszlo
PSYCHOPHYSIOLOGY 53, S87-S87, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–20