Research output per year
Research output per year
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Dive into the research topics where Ozan Özdenizci is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 -
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
Activities
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Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher (Speaker), Ozan Özdenizci (Contributor) & Robert Legenstein (Contributor)
9 Nov 2022Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
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Improving robustness against stealthy weight bit-flip attacks by output code matching
Ozan Özdenizci (Speaker)
23 Jun 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Training adversarially robust sparse networks via Bayesian connectivity sampling
Ozan Özdenizci (Speaker) & Robert Legenstein (Speaker)
22 Jul 2021Activity: Talk or presentation › Poster presentation › Science to science
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On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
Ozan Özdenizci (Speaker)
4 May 2021Activity: Talk or presentation › Poster presentation › Science to science