Deniz Erdogmus
Affiliations: | Electrical and Computer Engineering | Northeastern University, Boston, MA, United States |
Area:
Electronics and Electrical Engineering, Applied Mathematics, StatisticsGoogle:
"Deniz Erdogmus"Parents
Sign in to add mentorKemal Leblebicioglu | grad student | 1997-1999 | Middle East Technical University | |
(MS Thesis Advisor) | ||||
Jose Carlos Principe | grad student | 1999-2002 | UF Gainesville (Neurotree) | |
(Information theoretic learning: Renyi's entropy and its applications to adaptive system training.) | ||||
Jose Carlos Principe | post-doc | 2002-2004 | UF Gainesville (Neurotree) | |
(Postdoc Mentor) |
Children
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Publications
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Gonzalez-Navarro P, Celik B, Moghadamfalahi M, et al. (2022) Feedback Related Potentials for EEG-Based Typing Systems. Frontiers in Human Neuroscience. 15: 788258 |
Han M, Ozdenizci Ö, Wang Y, et al. (2020) Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. Ieee Signal Processing Letters. 27: 1565-1569 |
Peters B, Bedrick S, Dudy S, et al. (2020) SSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments. Frontiers in Human Neuroscience. 14: 595890 |
Ozdenizci O, Wang Y, Koike-Akino T, et al. (2020) Learning Invariant Representations From EEG via Adversarial Inference Ieee Access. 8: 27074-27085 |
Yarossi M, Quivira F, Dannhauer M, et al. (2019) An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. International Ieee/Embs Conference On Neural Engineering : [Proceedings]. International Ieee Embs Conference On Neural Engineering. 2019: 1122-1125 |
Özdenizci O, Wang Y, Koike-Akino T, et al. (2019) Adversarial Deep Learning in EEG Biometrics. Ieee Signal Processing Letters. 26: 710-714 |
Ozdenizci O, Erdogmus D. (2019) Information Theoretic Feature Transformation Learning for Brain Interfaces. Ieee Transactions On Bio-Medical Engineering |
Gonzalez-Navarro P, Marghi YM, Azari B, et al. (2019) An Event-driven AR-process Model for EEG-based BCIs with Rapid Trial Sequences. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Han M, Günay SY, Schirner G, et al. (2019) HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands Intelligent Service Robotics. 13: 179-185 |
Koçanaoğulları A, Akçakay M, Erdoğmuş D. (2018) On Analysis of Active Querying for Recursive State Estimation. Ieee Signal Processing Letters. 25: 743-747 |