Alexander N. Gorban
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
1999–2025
Best venue rank
A*
Where they publish
Papers
28 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 | CoRL | HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. | Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu |
| 2022 | CVPR | Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. | 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 |
| 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 | Modelling working memory in neuron-astrocyte network. | Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban |
| 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 |
| 2020 | WACV | Adapting Style and Content for Attended Text Sequence Recognition. | Steven Schwarcz, Alexander N. Gorban, Xavier Gibert Serra, Dar-Shyang Lee |
| 2019 | IJCNN | Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? | Evgeny M. Mirkes, Jeza Allohibi, 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 | ACCV | Large Scale Scene Text Verification with Guided Attention. | Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles |
| 2018 | HPCC | Tackling Rare False-Positives in Face Recognition: A Case Study. | Sepehr Meshkinfamfard, Alexander N. Gorban, Ivan Tyukin |
| 2018 | IJCNN | Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. | Alexander N. Gorban, Evgeny M. Mirkes, Andrei Yu. Zinovyev |
| 2018 | IJCNN | Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. | Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green |
| 2017 | ICDAR | Attention-Based Extraction of Structured Information from Street View Imagery. | Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz |
| 2016 | CVPR | Detecting Events and Key Actors in Multi-person Videos. | Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei |
| 2015 | DSAA | Fast and user-friendly non-linear principal manifold learning by method of elastic maps. | Alexander N. Gorban, Andrei Yu. Zinovyev |
| 2015 | ICCV | Im2Calories: Towards an Automated Mobile Vision Food Diary. | Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy |
| 2014 | IJCNN | Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. | Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko |
| 2013 | IWANN | Geometrical Complexity of Data Approximators. | Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban |
| 2007 | IJCNN | Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps. | Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev |
| 2003 | IJCNN | Application of the method of elastic maps in analysis of genetic texts. | Alexander N. Gorban, Andrei Yu. Zinovyev, Donald C. Wunsch |
| 1999 | IJCNN | Generation of explicit knowledge from empirical data through pruning of trainable neural networks. | Alexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev |