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- Alexander N. Gorban
University of Leicester, Department of Mathematics, UK
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Publication search results
found 134 matches
- 2024
- Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR abs/2402.00899 (2024) - Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. CoRR abs/2402.06563 (2024) - 2023
- Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban:
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. Entropy 25(1): 33 (2023) - Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. IEEE Big Data 2023: 4979-4986 - Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov:
3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels. CVPR 2023: 1158-1167 - Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin:
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. GSI (1) 2023: 560-568 - Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. IJCNN 2023: 1-8 - Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN 2023: 1-8 - Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. CoRR abs/2305.07624 (2023) - Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov:
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels. CoRR abs/2306.04745 (2023) - Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham:
How adversarial attacks can disrupt seemingly stable accurate classifiers. CoRR abs/2309.03665 (2023) - Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou:
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR abs/2309.07072 (2023) - Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative intrinsic dimensionality is intrinsic to learning. CoRR abs/2311.07579 (2023) - Innokentiy Kastalskiy, Andrei Yu. Zinovyev, Evgeny M. Mirkes, Victor B. Kazantsev, Alexander N. Gorban:
Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics. CoRR abs/2311.13917 (2023) - 2022
- Witali L. Dunin-Barkowski, Alexander N. Gorban:
Editorial: Toward and beyond human-level AI, volume II. Frontiers Neurorobotics 16 (2022) - Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor B. Kazantsev, Alexander N. Gorban, Susanna Yu Gordleeva:
Astrocytes mediate analogous memory in a multi-layer neuron-astrocyte network. Neural Comput. Appl. 34(11): 9147-9160 (2022) - Natalya A. Rybnikova, Boris A. Portnov, Evgeny M. Mirkes, Andrei Yu. Zinovyev, Anna Brook, Alexander N. Gorban:
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu:
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. CoRL 2022: 1114-1124 - Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops 2022: 4477-4486 - Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN 2022: 1-8 - Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR abs/2203.16687 (2022) - Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban:
Learning from few examples with nonlinear feature maps. CoRR abs/2203.16935 (2022) - Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
An Informational Space Based Semantic Analysis for Scientific Texts. CoRR abs/2205.15696 (2022) - Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban:
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data. CoRR abs/2208.13290 (2022) - Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin:
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR abs/2211.03607 (2022) - Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu:
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. CoRR abs/2212.07729 (2022) - 2021
- Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev:
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Entropy 23(10): 1368 (2021) - Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin:
High-Dimensional Separability for One- and Few-Shot Learning. Entropy 23(8): 1090 (2021) - Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard, Lixin Tang:
Blessing of dimensionality at the edge and geometry of few-shot learning. Inf. Sci. 564: 124-143 (2021) - Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin:
General stochastic separation theorems with optimal bounds. Neural Networks 138: 33-56 (2021)
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