Оценивание креативности на основе анализа изображений с помощью нейронных сетей
Искусственный интеллект и принятие решений. 2021. № 1. С. 86-97.
Uglanova I., Гельвер Е. С., Tarasov S., Gracheva D., Vyrva E.
The present study investigated the possibilities of assessing student creativity based on neural networks approaches for image analysis. The use of psychometric data analysis in the methodology of Latent Class Analysis (LCA) allowed us to obtain data labels to train the neural network without experts’ involvement. The high accuracy in network predictions for identifying image creativity suggested large-scale prospects for machine learning to assess complex educational and psychological characteristics
, , et al., Scientific and Technical Information Processing 2022 Vol. 49 No. 5 P. 371-378
This paper examines whether it is possible to assess creativity by analyzing images using neural networks. The psychometric data analysis used for latent class analysis makes it possible to obtain labels for training neural networks without the participation of experts. Highly accurate network prediction for identifying image creativity makes it possible to speak about the ...
Added: March 10, 2023
, , , 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., Computational Materials Science 2023 Vol. 218 Article 111985
Finding efficient means of quantitatively describing material microstructure is a critical step towards harnessing data-centric machine learning approaches to understanding and predicting processing–microstructure–property relationships. Current quantitative descriptors of microstructure tend to consider only specific, narrow features such as grain size or phase fractions, but these metrics discard vast amounts of information. Since the gain in ...
Added: April 10, 2023
, , 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
, , Научно-исследовательский финансовый институт. Финансовый журнал 2019 Т. 47 № 1 С. 76-87
In the field of cryptoeconomics the Ethereum (Ethereum Foundation) project gave opportunity to create “own” cryptocurrency – new token based on its smart-contract platform to everyone without lowlevel programming skills. Then it became obvious that tokens could be used for crowdfunding as the Ethereum did in 2014. Unregulated and easy to access such scheme became popular among related to ...
Added: November 5, 2020
, 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
Художественные особенности произведений компьютерного искусства, созданных с использованием технологий машинного обучения
, Артикульт 2022 № 4(48) С. 36-48
This article has analyzed the artworks, the general creative principles, and approaches connected with machine learning and neural networks. The idea that the computer can replace humans for deciding routine, algorithmic, and even analytical tasks, has raised the question about the uses of machines for creative jobs. This process forms new possibilities, non-obvious images, themes, ...
Added: October 19, 2022
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
ASSESSING CREATIVITY IN PRIMARY SCHOOL USING IMAGE ANALYSIS WITH NEURAL NETWORKS: A TWO-STEP APPROACH
, , et al., , in : EDULEARN21 Proceedings 13th International Conference on Education and New Learning Technologies July 5th-6th, 2021. : IATED, 2021. P. 8096-8103.
Most creativity assessment tools involve graphical solutions (images) evaluated by experts. Scoring with the engagement of human raters requires time and effort, and the automated scoring methods are insensitive to the content. As an alternative to both expert judgments and fully automatic scoring, machine learning (ML) demonstrated a great contribution to the field of educational ...
Added: September 2, 2021
, , Journal of Physics: Conference Series 2018 Т. 1117 № conference 1
Reservoir Computing (RC) is taking attention of neural networks structures developers because of machine learning algorithms are simple at the high level of generalization of the models. The approaches are numerous. RC can be applied to different architectures including recurrent neural networks with irregular connections that are called Echo State Networks (ESN). However, the existence ...
Added: November 15, 2018
Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains
, , in : WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining. : Association for Computing Machinery (ACM), 2021. P. 1113-1114.
There is a diverse variety of demographic data that can be analyzed with modern methods of data mining to achieve better results. On the one hand, the main chosen task is to compare different methods for the next event prediction and gender prediction, on the other hand, we pay special attention to interpretable patterns describing ...
Added: June 4, 2021
A recommender subsystem construction for calculating the probability of a violation by a locomotive driver using machine-learning algorithms
, , , in : Proceedings 2020 IEEE East-West Design & Test Symposium (EWDTS). : Varna : IEEE, 2020. P. 351-355.
This article describes the issues of analysis and assessment of the human factor for predicting the violation committed by the locomotive driver when driving the electric rolling stock. An intelligent system overview for assessing the likelihood of a violation by a locomotive driver is given. Such a system can generate recommendations depending on previously committed ...
Added: September 8, 2020
Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers
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
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
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
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)
Ekaterinburg : CEUR Workshop Proceedings, 2014
AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science. LIST OF TOPICS (NON EXHAUSTIVE) Applications of Data Mining and Machine ...
Added: August 28, 2014
, , et al., Voting: a machine learning approach / . 2020. No. 145.
Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how ‘well’ a few prominent voting rules can be learned by a neural network. To address this ...
Added: October 31, 2021
, , , Mathematics 2021 No. 9 Article 624
With the always increasing amount of image data, it has become a necessity to automatically look for and process information in these images. As fashion is captured in images, the fashion sector provides the perfect foundation to be supported by the integration of a service or application that is built on an image classification model. ...
Added: September 14, 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
, В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
Added: July 27, 2022
Восприятие культурных различий и межкультурной компетентности российскими студентами с разным уровнем креативности
, Общественные науки и современность 2020 № 1 С. 132-147
Numerous foreign studies have shown that intercultural interactions can stimulate creativity when a person is adapted enough to such an experience. Intercultural competence can be seen as an indicator of such adaptation. However, recent studies have shown ambiguous relationship between components of intercultural competence and creativity. This study is a qualitative analysis of the perception ...
Added: March 17, 2020
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
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