Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track
Under the general editorship: D. Kiela, M. Ciccone, B. Caputo
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
, , et al., , in : Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. : PMLR, 2022. P. 97-112.
Added: October 11, 2022
, , 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
Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
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
, 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
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
Pattern Recognition. ICPR International Workshops and Challenges. Virtual Event, January 10–15, 2021, Proceedings, Part V
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
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
О возможности применения сверточных нейронных сетей к построению универсальных атак на итеративные блочные шифры
, , 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
Foundations of Intelligent Systems. 25th International Symposium on Methodologies for Intelligent Systems: ISMIS 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
Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings
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
, 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
AIST: International Conference on Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers
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
Proceedings of Machine Learning Research. Proceedings of the International Conference on Machine Learning (ICML 2017)
Sydney : [б.и.], 2017
Proceedings of Machine Learning Research. Volume 70: International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia ...
Added: February 25, 2018
, , , 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
, , et al., Inorganic Materials: Applied Research 2021 Vol. 12 No. 2 P. 328-336
New chalcospinels of the most common compositions were predicted: AIBIIICIVX4 (X = S or Se) and AIIBIIICIIIS4 (A, B, and C are various chemical elements). They are promising for the search for new materials for magneto-optical memory elements, sensors, and anodes in sodium-ion batteries. The parameter “a” values of their crystal lattice are estimated. When predicting, only the ...
Added: April 2, 2021
, , 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
, PROCEEDINGS OF THE VLDB ENDOWMENT 2021 Vol. 14 No. 12 P. 3186-3189
Array DBMSs strive to be the best systems for managing, processing, and even visualizing big N-d arrays. The last decade blossomed with R&D in array DBMS, making it a young and fast-evolving area. We present the first comprehensive tutorial on array DBMS R&D. We start from past impactful results that are still relevant today, then ...
Added: June 4, 2021
This volume compiles a selection of papers associated with the fourth edition of the Demonstration and Competition Track at NeurIPS 2020. The track comprised 16 competitions and 20 demonstrations. Competition and demonstration proposals were subject to a strict reviewing process to ensure the quality of the accepted events. After a selective process, the accepted competitions ...
Added: September 6, 2021
Epileptogenic high-frequency oscillations present larger amplitude both in mesial temporal and neocortical regions
, , et al., Frontiers in Human Neuroscience 2022 No. 16 Article 984306
High-frequency oscillations (HFO) are a promising biomarker for the identification of epileptogenic tissue. While HFO rates have been shown to predict seizure outcome, it is not yet clear whether their morphological features might improve this prediction. We validated HFO rates against seizure outcome and delineated the distribution of HFO morphological features. We collected stereo-EEG recordings ...
Added: October 1, 2022
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
, , 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
Предсказания, большие данные и новые измерители: о возможности технологий компьютерной лингвистики в теоретических лингвистических исследованиях
, 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
NY : IEEE, 2016
This paper aims to tackle the problem of brain network classification with machine learning algorithms using spectra of networks’ matrices. Two approaches are discussed: first, linear and tree-based models are trained on the vectors of sorted eigenvalues of the adjacency matrix, the Laplacian matrix and the normalized Laplacian; next, SVM classifier is trained with kernels ...
Added: December 9, 2016
, , 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
, , 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