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Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track
PMLR, 2022.
Under the general editorship: D. Kiela, M. Ciccone, B. Caputo
Borzunov A., Ryabinin M., Dettmers T. et al., , in : Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. : PMLR, 2022. P. 335-342.
Added: July 27, 2022
Eichenberger C., Neun M., Martin H. et al., , in : Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. : PMLR, 2022. P. 97-112.
Added: October 11, 2022
Lukin R., Grigoriev R., Yarullin A. et al., , in : Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. : PMLR, 2022. P. 1-12.
In this report, we describe the Open Catalyst Challenge held at NeurIPS 2021, focusing on using machine learning (ML) to accelerate the search for low-cost catalysts that can drive reactions converting renewable energy to storable forms. Specifically, the challenge required participants to develop ML approaches for relaxed energy prediction, i.e. given atomic positions for an ...
Added: January 12, 2024
Perov A., Conference: 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) 2019 P. 851-854
This article presents the application of machine learning technologies to cryptography tasks, in particular, the statistical analysis of block ciphers. The author uses the Inception V3 neural network model, which is traditionally used for images recognition. A technology for adapting ciphertexts to the developed technique is proposed. The results of experiments on encrypted sequences are ...
Added: November 20, 2021
Springer, 2021
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover ...
Added: April 10, 2022
Zykov S. V., Андрианова Е. Г., Жуков Д. О. et al., Российский технологический журнал 2018 Т. 7 № 1 С. 4-45
The relevance of scientific research in the field of quantum informatics is grounded. Highlighted promising areas of research. For foreign and Russian publications and materials, an overview of the main scientific results characterizing the current state of quantum informatics has been made. It is concluded that knowledge and resources are most intensively invested in the ...
Added: January 31, 2019
Switzerland : Springer, 2014
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of ...
Added: September 30, 2014
Springer, 2020
This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019.
The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized ...
Added: February 9, 2020
Springer, 2021
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021.
The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
Cham : Springer, 2019
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data ...
Added: October 17, 2019
Zykov S. V., Золотухина М. А., Золотухин С. А., Модели, системы, сети в экономике, технике, природе и обществе 2023 № 3 С. 98-114
Background. All attention is focused on reducing the number of accidents on
an unfavorable section of the Altufyevsky highway in the area of 5 intersections. Such incidents
become aggravating circumstances for nearby infrastructure facilities, such as: shopping
malls, shops, cafes, there are also metro stations on a busy site. The endless flow of
people and cars, public transport stops, ...
Added: November 2, 2023
Birkhauser/Springer, 2017
This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining ...
Added: September 18, 2017
Cham : Springer, 2023
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.
The 20 full papers and 7 short papers presented in this book were carefully reviewed ...
Added: April 4, 2023
Alexandrov D., Программная инженерия 2022 Vol. 13 No. 7 P. 331-343
Trends in computer vision and pattern recognition and capabilities of modern computers contributed to a consid- erable amount of research of these areas application in facial recognition systems. The purpose of this paper is to investigate the most significant methods of face recognition. In the first two sections of current paper, the methods of face ...
Added: October 31, 2022
Springer, 2020
This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic.
The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also ...
Added: October 4, 2020
Perov A., Пестунов А. И., Прикладная дискретная математика 2020 № 3 С. 46-56
The paper explores possibility of applying convolutional neural networks to the security analysis of iterative block ciphers. A new approach for constructing distinguishing
attacks based on a convolutional neural network is proposed. The approach is based
on distinguishing between graphic equivalents of ciphertexts received by the CTR
(counter) encryption mode after different number of rounds, including the number
of ...
Added: November 1, 2021
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Curran Associates, Inc., 2023
Proceedings of the international conference "Neural Information Processing Systems 2023." (NeurIPS 2023) ...
Added: February 15, 2024
Makarov D., Nikolai N. Kalikin, Yury A. Budkov, Industrial & Engineering Chemistry Research 2024 Vol. 63 No. 3 P. 1589-1603
Supercritical carbon dioxide (scCO2) plays an essential role in various technological procedures, making the
solubility of drugs in scCO2 a crucial aspect of the drug formulation process. This study focuses on utilizing theoretical approaches to predict the solubility of drug-like compounds in scCO2 in order to select the optimum parameters for subsequent experimental procedures. Several machine ...
Added: January 16, 2024
Santoro A., Bartunov S., Botvinick M. et al., Journal of Machine Learning Research 2016 Vol. 48
Despite recent breakthroughs in the applications of deep neural networks, one setting that presents a persistent challenge is that of "one-shot learning." Traditional gradient-based networks require a lot of data to learn, often through extensive iterative training. When new data is encountered, the models must inefficiently relearn their parameters to adequately incorporate the new information ...
Added: October 19, 2016
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Alimova l., Tutubalina E., Journal of Biomedical Informatics 2020 Vol. 103 P. 1-9
Relation extraction aims to discover relational facts about entity mentions from plain texts. In this work, we focus on clinical relation extraction; namely, given a medical record with mentions of drugs and their attributes, we identify relations between these entities. We propose a machine learning model with a novel set of knowledge-based and BioSentVec embedding ...
Added: October 28, 2020
Bonch-Osmolovskaya A. A., Вопросы языкознания 2016 № 2 С. 100-120
Статья посвящена обзору работ последних лет, в которых теоретическая исследовательская задача решается с помощью методов или инструментов, используемых в компьютерной лингвистике. В обзоре проводится подробный анализ того, как именно с помощью применения того или иного инструмента или метода можно получить новые знания о природе языка. В частности, выделяются два основных направления, развитие которых в рамках ...
Added: April 14, 2015
Феста Ю. Ю., Воробьев И. А., Model Assisted Statistics and Applications 2022 Vol. 17 No. 1 P. 41-49
We currently see a large increase in e-commerce sector; it is becoming a central trend in the banking industry. Fraudsters keep up with modern technologies, and use weak points in human psychology and security systems to steal money from regular users. To ensure the required level of security, banks began to apply artificial intelligence in ...
Added: April 13, 2022
Magaj G., Soroka A., Studies in Computational Intelligence, 2023
The basis of transfer learning methods is the ability of deep neural networks to use knowledge from one domain to learn in another domain. However, another important task is the analysis and explanation of the internal representations of deep neural networks models in the process of transfer learning. Some deep models are known to be ...
Added: October 25, 2023
Izmailov P., Kropotov D., Journal of machine learning and data analysis 2017 Vol. 3 No. 1 P. 20-35
Background: Gaussian processes (GP) provide an elegant and effective approach to learning in kernel machines. This approach leads to a highly interpretable model and allows using the Bayesian framework for model adaptation and incorporating the prior knowledge about the problem. The GP framework is successfully applied to regression, classification, and dimensionality reduction problems. Unfortunately, the ...
Added: December 6, 2018