Ivan Yu. Tyukin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Staining and Locking Computer Vision Models Without Retraining. | Oliver J. Sutton, Qinghua Zhou, George Leete, Alexander N. Gorban, Ivan Yu. Tyukin |
| 2024 | IJCNN | Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. | Ivan Yu. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison |
| 2023 | ICANN | The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. | Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou |
| 2023 | ICANN | Relative Intrinsic Dimensionality Is Intrinsic to Learning. | Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin |
| 2023 | IJCNN | Agile gesture recognition for capacitive sensing devices: adapting on-the-job. | Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin |
| 2023 | IJCNN | Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. | Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin |
| 2022 | IJCNN | Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. | Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin |
| 2021 | IJCNN | Demystification of Few-shot and One-shot Learning. | Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou |
| 2020 | IJCNN | On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. | Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban |
| 2019 | IJCNN | Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. | Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green |
| 2018 | IJCNN | Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. | Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green |