Research output per year
Research output per year
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Dive into the research topics where Olga Krestinskaya 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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Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
Krestinskaya, O., Zhang, L. & Salama, K. N., Jul 6 2023, In: IEEE Transactions on Nanotechnology. p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Analog Image Denoising with an Adaptive Memristive Crossbar Network
Krestinskaya, O., Salama, K. & James, A. P., 2022, IEEE International Symposium on Circuits and Systems, ISCAS 2022. Institute of Electrical and Electronics Engineers Inc., p. 3453-3457 5 p. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access5 Scopus citations -
Towards Efficient RRAM-based Quantized Neural Networks Hardware: State-of-the-art and Open Issues
Krestinskaya, O., Zhang, L. & Salama, K. N., 2022, 2022 IEEE 22nd International Conference on Nanotechnology, NANO 2022. IEEE Computer Society, p. 465-468 4 p. (Proceedings of the IEEE Conference on Nanotechnology; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Analog circuit integration of backpropagation learning in memristive HTM architecture
Krestinskaya, O. & James, A., Jan 1 2021, Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, p. 427-438 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Learning memristive spiking neurons and beyond
Krestinskaya, O. & James, A., Jan 1 2021, Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, p. 517-528 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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HTM theory
Dauletkhanuly, Y., Krestinskaya, O. & James, A. P., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer [email protected], p. 169-180 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
1 Scopus citations -
Learning algorithms and implementation
Krestinskaya, O. & James, A. P., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer [email protected], p. 91-102 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
2 Scopus citations -
Memristive deep convolutional neural networks
Krestinskaya, O. & James, A. P., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer [email protected], p. 131-137 7 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
1 Scopus citations
Press/Media
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Research from King Abdullah University of Science and Technology (KAUST) Reveals New Findings on Artificial Neural Networks (Hardware implementation of memristor-based artificial neural networks)
Eltawil, A., Lanza, M., Setti, G., Krestinskaya, O. & Villena, M.
03/18/24
1 item of Media coverage
Press/Media: Press / Media
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Publisher retracts nearly 50 papers at once
12/4/19
3 items of Media coverage
Press/Media: Press / Media