Research output per year
Research output per year
- 11 results
Search results
-
2023
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models
Özdenizci, O. & Legenstein, R., 1 Aug 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 8, p. 10346-10357 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
Domain-invariant representation learning from EEG with private encoders
Bethge, D., Hallgarten, P., Grosse-Puppendahl, T., Kari, M., Mikut, R., Schmidt, A. & Özdenizci, O., 2022, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 1236-1240 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
EEG2Vec: Learning affective EEG representations via variational autoencoders
Bethge, D., Hallgarten, P., Grosse-Puppendahl, T., Kari, M., Chuang, L., Özdenizci, O. & Schmidt, A., 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). p. 3150-3157 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Exploiting multiple EEG data domains with adversarial learning
Bethge, D., Hallgarten, P., Özdenizci, O., Mikut, R., Schmidt, A. & Grosse-Puppendahl, T., 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). p. 3154-3158 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Improving robustness against stealthy weight bit-flip attacks by output code matching
Özdenizci, O. & Legenstein, R., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. p. 13378-13387 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Limbacher, T., Özdenizci, O. & Legenstein, R., 22 May 2022, arXiv.Research output: Working paper › Preprint
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2021
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks
Özdenizci, O., Eldeeb, S., Demir, A., Erdogmus, D. & Akcakaya, M., May 2021, In: Biomedical Signal Processing and Control. 67, 10 p., 102507.Research output: Contribution to journal › Article › peer-review
Open Access -
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
Özdenizci, O. & Erdogmus, D., 2021, 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021. p. 427-430 4 p. 9441381Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Stochastic mutual information gradient estimation for dimensionality reduction networks
Özdenizci, O. & Erdogmus, D., Sept 2021, In: Information Sciences. 570, p. 298-305 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Training adversarially robust sparse networks via Bayesian connectivity sampling
Özdenizci, O. & Legenstein, R., 2021, Proceedings of Machine Learning Research: PMLR. Vol. 139. p. 8314-8324Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
Han, M., Özdenizci, O., Koike-Akino, T., Wang, Y. & Erdogmus, D., Aug 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 8, p. 2928-2937 10 p., 9368997.Research output: Contribution to journal › Article › peer-review