Ozan Özdenizci

According to our database, Ozan Özdenizci authored at least 31 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models.

Ozan Özdenizci, Robert Legenstein

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Adversarially Robust Spiking Neural Networks Through Conversion.

Ozan Özdenizci, Robert Legenstein

CoRR, 2023

TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning.

Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity.

Thomas Limbacher, Ozan Özdenizci, Robert Legenstein

CoRR, 2022

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders.

David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Domain-Invariant Representation Learning from EEG with Private Encoders.

David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Multiple EEG Data Domains with Adversarial Learning.

David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching.

Ozan Özdenizci, Robert Legenstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.

Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

IEEE J. Biomed. Health Informatics, 2021

Stochastic mutual information gradient estimation for dimensionality reduction networks.

Ozan Özdenizci, Deniz Erdogmus

Inf. Sci., 2021

EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks.

Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya

Biomed. Signal Process. Control., 2021

On the use of generative deep neural networks to synthesize artificial multichannel EEG signals.

Ozan Özdenizci, Deniz Erdogmus

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling.

Ozan Özdenizci, Robert Legenstein

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Information Theoretic Feature Transformation Learning for Brain Interfaces.

Ozan Özdenizci, Deniz Erdogmus

IEEE Trans. Biomed. Eng., 2020

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.

Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

IEEE Signal Process. Lett., 2020

Learning Invariant Representations From EEG via Adversarial Inference.

Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

IEEE Access, 2020

Disentangled Adversarial Transfer Learning for Physiological Biosignals.

Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Adversarial Deep Learning in EEG Biometrics.

Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

IEEE Signal Process. Lett., 2019

Neural Signatures of Motor Skill in the Resting Brain.

Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.

Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects.

Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2018

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.

Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces.

Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals.

Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Personalized brain-computer interface models for motor rehabilitation.

Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Information theoretic feature projection for single-trial brain-computer interfaces.

Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning.

Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity.

Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin

Proceedings of the From Vision to Reality, 2017

2016

Resting-state EEG correlates of motor learning performance in a force-field adaptation task.

Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

Causal interpretation rules for encoding and decoding models in neuroimaging.

Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup

NeuroImage, 2015

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance.

Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015