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Mikhail Kuznetsov
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2020 – today
- 2024
- [j2]Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko:
Modelling user notification scenarios in privacy policies. Cybersecur. 7(1): 41 (2024) - [c8]Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan:
Salient Object-Aware Background Generation using Text-Guided Diffusion Models. CVPR Workshops 2024: 7489-7499 - [c7]Vaagn Chopuryan, Mikhail Kuznetsov, Vasilii Latonov, Natalia Semenova:
ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation. VISIGRAPP (4): VISAPP 2024: 47-58 - [i10]Maxim Nikolaev, Mikhail Kuznetsov, Dmitry P. Vetrov, Aibek Alanov:
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach. CoRR abs/2404.01094 (2024) - [i9]Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan:
Salient Object-Aware Background Generation using Text-Guided Diffusion Models. CoRR abs/2404.10157 (2024) - [i8]Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, MohamadAli Torkamani:
HLogformer: A Hierarchical Transformer for Representing Log Data. CoRR abs/2408.16803 (2024) - [i7]Shantanu Ghosh, Tiankang Xie, Mikhail Kuznetsov:
Distributionally robust self-supervised learning for tabular data. CoRR abs/2410.08511 (2024) - 2023
- [c6]Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan:
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation. AdKDD@KDD 2023 - [i6]Anastasia Martynova, Mikhail Kuznetsov, Vadim Porvatov, Vladislav Tishin, Andrey Kuznetsov, Natalia Semenova, Ksenia Kuznetsova:
Revising deep learning methods in parking lot occupancy detection. CoRR abs/2306.04288 (2023) - [i5]Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan:
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation. CoRR abs/2307.15326 (2023) - 2022
- [j1]Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko, Elena Doynikova:
Privacy Policies of IoT Devices: Collection and Analysis. Sensors 22(5): 1838 (2022) - [c5]Mikhail Kuznetsov, Sergey A. Vrazhevsky, Ekaterina Khalyamina:
Quadrotor Control with a Guaranteed Presence of Output Signals under a Prespecified State Bounds. MED 2022: 295-299 - [c4]Mikhail Kuznetsov, Evgenia Novikova, Igor V. Kotenko:
An approach to formal desription of the user notification scenarios in privacy policies. PDP 2022: 275-282 - 2021
- [c3]Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko:
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. KDD 2021: 3404-3413 - [i4]Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko:
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. CoRR abs/2108.02725 (2021) - 2020
- [i3]Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete:
Probabilistic Label Trees for Extreme Multi-label Classification. CoRR abs/2009.11218 (2020)
2010 – 2019
- 2019
- [c2]Mikhail Kuznetsov, Maria Nikishova, Anna Belova:
"Smart City" Governance Technologies Development in the Era of the 4th Industrial Revolution. IntelliSys (2) 2019: 606-618 - [i2]Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu:
On the computational complexity of the probabilistic label tree algorithms. CoRR abs/1906.00294 (2019) - 2018
- [c1]Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski:
A no-regret generalization of hierarchical softmax to extreme multi-label classification. NeurIPS 2018: 6358-6368 - [i1]Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski:
A no-regret generalization of hierarchical softmax to extreme multi-label classification. CoRR abs/1810.11671 (2018)
Coauthor Index
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last updated on 2025-01-09 12:51 CET by the dblp team
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