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ORCIDOzan Özdenizci
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2020 – today
- 2024
[j10]Ozan Özdenizci, Robert Legenstein:
Adversarially Robust Spiking Neural Networks Through Conversion. Trans. Mach. Learn. Res. 2024 (2024)- [c22]Jasmin Viktoria Gritsch, Robert Legenstein, Ozan Özdenizci:
Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints. ECML/PKDD (5) 2024: 337-354 - 2023
- [j9]Ozan Özdenizci
, Robert Legenstein:
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10346-10357 (2023) - [c21]Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci:
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. EUSIPCO 2023: 1030-1034 - [c20]Francisco Javier Klaiber Aboitiz, Robert Legenstein, Ozan Özdenizci:
Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks. ICANN (10) 2023: 248-259 - [i21]Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci:
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. CoRR abs/2306.06522 (2023) - [i20]Ozan Özdenizci, Robert Legenstein:
Adversarially Robust Spiking Neural Networks Through Conversion. CoRR abs/2311.09266 (2023) - 2022
- [c19]Ozan Özdenizci, Robert Legenstein:
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching. CVPR 2022: 13378-13387 - [c18]David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl:
Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC 2022: 3154-3158 - [c17]David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci:
Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP 2022: 1236-1240 - [c16]David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt:
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. SMC 2022: 3150-3157 - [i19]David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci:
Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR abs/2201.11613 (2022) - [i18]David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl:
Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR abs/2204.07777 (2022) - [i17]Thomas Limbacher, Ozan Özdenizci, Robert Legenstein:
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. CoRR abs/2205.11276 (2022) - [i16]David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt:
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. CoRR abs/2207.08002 (2022) - [i15]Ozan Özdenizci, Robert Legenstein:
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models. CoRR abs/2207.14626 (2022) - 2021
- [j8]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. 67: 102507 (2021) - [j7]Ozan Özdenizci, Deniz Erdogmus:
Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. 570: 298-305 (2021) - [j6]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics 25(8): 2928-2937 (2021) - [c15]Ozan Özdenizci, Robert Legenstein:
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling. ICML 2021: 8314-8324 - [c14]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER 2021: 427-430 - [i14]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR abs/2102.08061 (2021) - [i13]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR abs/2102.08976 (2021) - [i12]Ozan Özdenizci, Deniz Erdogmus:
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR abs/2105.00191 (2021) - 2020
- [j5]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8: 27074-27085 (2020) - [j4]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. 27: 1565-1569 (2020) - [j3]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. 67(1): 69-78 (2020) - [c13]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [i11]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i10]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR abs/2008.11426 (2020) - [i9]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR abs/2009.13453 (2020)
2010 – 2019
- 2019
- [j2]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26(5): 710-714 (2019) - [c12]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. GBCIC 2019 - [c11]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c10]Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup:
Neural Signatures of Motor Skill in the Resting Brain. SMC 2019: 4387-4394 - [i8]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. CoRR abs/1903.11673 (2019) - [i7]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR abs/1903.12235 (2019) - [i6]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. CoRR abs/1907.09540 (2019) - 2018
- [c9]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC 2018: 1964-1967 - [c8]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC 2018: 5745-5748 - [c7]Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis:
Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth 2018: 201-207 - [i5]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR abs/1809.05635 (2018) - [i4]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR abs/1809.09948 (2018) - [i3]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR abs/1812.06857 (2018) - 2017
- [c6]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity. GBCIC 2017 - [c5]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning. ICASSP 2017: 934-938 - [c4]Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus:
Information theoretic feature projection for single-trial brain-computer interfaces. MLSP 2017: 1-6 - [c3]Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Personalized brain-computer interface models for motor rehabilitation. SMC 2017: 3024-3029 - [i2]Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR abs/1705.03259 (2017) - 2016
- [c2]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Resting-state EEG correlates of motor learning performance in a force-field adaptation task. SIU 2016: 2253-2256 - 2015
- [j1]Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage 110: 48-59 (2015) - [c1]Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup:
Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. SIU 2015: 1837-1840 - [i1]Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR abs/1511.04780 (2015)
Coauthor Index
aka: Tobias Grosse-Puppendahl
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last updated on 2024-10-23 21:24 CEST by the dblp team
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