Ozan Özdenizci

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Topics

Diffusion Model

Spiking Neural Networks

Top Venues

IEEE Signal Process. Lett.

Publications

Ozan Özdenizci, Robert Legenstein
Adversarially Robust Spiking Neural Networks Through Conversion. Trans. Mach. Learn. Res. 2024 (2024)
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)
Ozan Özdenizci, Robert Legenstein
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ozan Özdenizci, Robert Legenstein
Adversarially Robust Spiking Neural Networks Through Conversion. CoRR (2023)
Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. CoRR (2023)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC (2022)
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)
Ozan Özdenizci, Robert Legenstein
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching. CVPR (2022)
Thomas Limbacher, Ozan Özdenizci, Robert Legenstein
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. CoRR (2022)
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 (2022)
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 (2022)
Ozan Özdenizci, Robert Legenstein
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models. CoRR (2022)
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)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR (2022)
Ozan Özdenizci, Deniz Erdogmus
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR (2021)
Ozan Özdenizci, Robert Legenstein
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling. ICML (2021)
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) (2021)
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 (2021)
Ozan Özdenizci, Deniz Erdogmus
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER (2021)
Ozan Özdenizci, Deniz Erdogmus
Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. 570 (2021)
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 (2021)
Ozan Özdenizci, Deniz Erdogmus
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR (2021)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC (2020)
Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR (2020)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8 (2020)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR (2020)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR (2020)
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 (2020)
Ozan Özdenizci, Deniz Erdogmus
Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. 67 (1) (2020)
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)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26 (5) (2019)
Ozan Özdenizci, Deniz Erdogmus
Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR (2019)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER (2019)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Adversarial Deep Learning in EEG Biometrics. CoRR (2019)
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)
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 (2019)
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 (2018)
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)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR (2018)
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)
Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC (2018)
Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR (2018)
Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
Personalized brain-computer interface models for motor rehabilitation. SMC (2017)
Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR (2017)
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)
Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus
Information theoretic feature projection for single-trial brain-computer interfaces. MLSP (2017)
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)
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)
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 (2015)
Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup
Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. SIU (2015)
Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR (2015)