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Correction of AI systems by linear discriminants: Probabilistic
  foundations

Correction of AI systems by linear discriminants: Probabilistic foundations

11 November 2018
A. N. Gorban
A. Golubkov
Bogdan Grechuk
E. M. Mirkes
I. Tyukin
ArXiv (abs)PDFHTML

Papers citing "Correction of AI systems by linear discriminants: Probabilistic foundations"

28 / 28 papers shown
Error correction in multiclass image classification of facial emotion on unbalanced samples
Error correction in multiclass image classification of facial emotion on unbalanced samples
Andrey A. Lebedev
Victor B. Kazantsev
Sergey V. Stasenko
CVBM
163
0
0
02 Oct 2025
Weakly Supervised Learners for Correction of AI Errors with Provable
  Performance Guarantees
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
I. Tyukin
T. Tyukina
Daniel van Helden
Zedong Zheng
Evgeny M. Mirkes
Oliver J. Sutton
Qinghua Zhou
Alexander N. Gorban
Penelope Allison
357
1
0
31 Jan 2024
Do stable neural networks exist for classification problems? -- A new
  view on stability in AI
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu
A. C. Hansen
196
3
0
15 Jan 2024
Relative intrinsic dimensionality is intrinsic to learning
Relative intrinsic dimensionality is intrinsic to learningInternational Conference on Artificial Neural Networks (ICANN), 2023
Oliver J. Sutton
Qinghua Zhou
Alexander N. Gorban
I. Tyukin
253
3
0
10 Oct 2023
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets
  Using Unsupervised Learning
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning
Julio J. Valdés
A. Tchagang
121
3
0
25 Sep 2023
How adversarial attacks can disrupt seemingly stable accurate
  classifiers
How adversarial attacks can disrupt seemingly stable accurate classifiersNeural Networks (Neural Netw.), 2023
Oliver J. Sutton
Qinghua Zhou
I. Tyukin
Alexander N. Gorban
Alexander Bastounis
D. Higham
AAML
171
8
0
07 Sep 2023
Agile gesture recognition for capacitive sensing devices: adapting
  on-the-job
Agile gesture recognition for capacitive sensing devices: adapting on-the-jobIEEE International Joint Conference on Neural Network (IJCNN), 2023
Ying Liu
Liucheng Guo
V. Makarov
Yuxiang Huang
Alexander N. Gorban
Evgeny Mirkes
Ivan Y. Tyukin
134
3
0
12 May 2023
MyI-Net: Fully Automatic Detection and Quantification of Myocardial
  Infarction from Cardiovascular MRI Images
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
Shuihua Wang
A. M. Abdelaty
K. Parke
J. Arnold
G. Mccann
Ivan Y. Tyukin
159
8
0
28 Dec 2022
An Informational Space Based Semantic Analysis for Scientific Texts
An Informational Space Based Semantic Analysis for Scientific Texts
Neslihan Suzen
Alexander N. Gorban
J. Levesley
Evgeny M. Mirkes
58
1
0
31 May 2022
Improving VAE-based Representation Learning
Improving VAE-based Representation Learning
Mingtian Zhang
Tim Z. Xiao
Brooks Paige
David Barber
SSLDRL
261
12
0
28 May 2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and
  generalisation
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Qinghua Zhou
Alexander N. Gorban
Evgeny M. Mirkes
Jonathan Bac
A. Zinovyev
I. Tyukin
110
2
0
30 Mar 2022
Scikit-dimension: a Python package for intrinsic dimension estimation
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac
Evgeny M. Mirkes
Alexander N. Gorban
I. Tyukin
A. Zinovyev
194
109
0
06 Sep 2021
High-dimensional separability for one- and few-shot learning
High-dimensional separability for one- and few-shot learningEntropy (Entropy), 2021
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
227
24
0
28 Jun 2021
The Feasibility and Inevitability of Stealth Attacks
The Feasibility and Inevitability of Stealth AttacksIMA Journal of Applied Mathematics (IMA J. Appl. Math.), 2021
I. Tyukin
D. Higham
Alexander Bastounis
Eliyas Woldegeorgis
Alexander N. Gorban
AAML
258
22
0
26 Jun 2021
Demystification of Few-shot and One-shot Learning
Demystification of Few-shot and One-shot LearningIEEE International Joint Conference on Neural Network (IJCNN), 2021
I. Tyukin
A. Gorban
Muhammad H. Alkhudaydi
Qinghua Zhou
134
18
0
25 Apr 2021
General stochastic separation theorems with optimal bounds
General stochastic separation theorems with optimal boundsNeural Networks (NN), 2020
Bogdan Grechuk
A. Gorban
I. Tyukin
233
20
0
11 Oct 2020
On Adversarial Examples and Stealth Attacks in Artificial Intelligence
  Systems
On Adversarial Examples and Stealth Attacks in Artificial Intelligence SystemsIEEE International Joint Conference on Neural Network (IJCNN), 2020
I. Tyukin
D. Higham
A. Gorban
AAML
150
40
0
09 Apr 2020
Linear and Fisher Separability of Random Points in the d-dimensional
  Spherical Layer
Linear and Fisher Separability of Random Points in the d-dimensional Spherical LayerIEEE International Joint Conference on Neural Network (IJCNN), 2020
Sergey V. Sidorov
N. Zolotykh
200
3
0
01 Feb 2020
Local intrinsic dimensionality estimators based on concentration of
  measure
Local intrinsic dimensionality estimators based on concentration of measureIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jonathan Bac
A. Zinovyev
154
12
0
31 Jan 2020
High--Dimensional Brain in a High-Dimensional World: Blessing of
  Dimensionality
High--Dimensional Brain in a High-Dimensional World: Blessing of DimensionalityEntropy (Entropy), 2020
A. Gorban
V. A. Makarov
Ivan Y. Tyukin
188
40
0
14 Jan 2020
Blessing of dimensionality at the edge
Blessing of dimensionality at the edgeInformation Sciences (Inf. Sci.), 2019
I. Tyukin
Alexander N. Gorban
A. McEwan
Sepehr Meshkinfamfard
Lixin Tang
137
8
0
30 Sep 2019
Symphony of high-dimensional brain
Symphony of high-dimensional brainPhysics of Life Reviews (PLR), 2019
Alexander N. Gorban
V. Makarov
I. Tyukin
129
3
0
27 Jun 2019
Estimating the effective dimension of large biological datasets using
  Fisher separability analysis
Estimating the effective dimension of large biological datasets using Fisher separability analysis
L. Albergante
Jonathan Bac
A. Zinovyev
167
42
0
18 Jan 2019
ECG Segmentation by Neural Networks: Errors and Correction
ECG Segmentation by Neural Networks: Errors and Correction
Iana Sereda
Sergey Alekseev
A. Koneva
R. Kataev
Grigory V. Osipov
UQCV
82
31
0
26 Dec 2018
Fast Construction of Correcting Ensembles for Legacy Artificial
  Intelligence Systems: Algorithms and a Case Study
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study
I. Tyukin
Alexander N. Gorban
Stephen Green
Danil Prokhorov
134
15
0
12 Oct 2018
The unreasonable effectiveness of small neural ensembles in
  high-dimensional brain
The unreasonable effectiveness of small neural ensembles in high-dimensional brain
A. N. Gorban
V. Makarov
I. Tyukin
163
56
0
20 Sep 2018
How deep should be the depth of convolutional neural networks: a
  backyard dog case study
How deep should be the depth of convolutional neural networks: a backyard dog case study
A. Gorban
E. M. Mirkes
I. Tyukin
172
52
0
03 May 2018
Knowledge Transfer Between Artificial Intelligence Systems
Knowledge Transfer Between Artificial Intelligence Systems
I. Tyukin
A. Gorban
Konstantin I. Sofeikov
I. Romanenko
117
32
0
05 Sep 2017
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