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Проектирование инструментария для выбора методов интерпретируемого машинного обучения
С. 247–257.
Suvorova A., Смирнова А. В.
Interpretable Machine Learning (IML) methods provide valuable insights into model behaviour, but due to variety of available interpretation tools, the particular solution can be not the optimal fit to the needs of the target users. To support decision making in model building and exploration, we propose a modular framework for algorithm selection. The framework is based on the overview of properties of IML methods, available metrics and existing guidelines for explanation systems development and evaluation.
Shestov A., Klenitskiy A., Denisova D. et al., , in: Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 – April 2, 2026, Proceedings, Part II. (LNCS, volume 16484).: Cham: Springer Publishing Company, 2026. P. 596–605.
Modern representation learning increasingly relies on unsu-pervised and self-supervised methods trained on large-scale unlabeled data. While these approaches achieve impressive generalization across tasks and domains, evaluating embedding quality without labels remains an open challenge. In this work, we propose Persistence, a topology-aware metric based on persistent homology that quantifies the geomet-ric structure and topological richness ...
Added: June 18, 2026
Suvorova A., В кн.: XXII национальная конференция по искусственному интеллекту с международным участием (КИИ-2025)Т. 1.: СПб.: Санкт-Петербургский Федеральный исследовательский центр РАН, 2025. С. 310–318.
В работе исследуется проблема чрезмерного полагания (overreliance) пользователей на результаты интерпретации моделей машинного обучения, а также способов ее решения с помощью пояснений, генерируемых большими языковыми моделями (LLM). Результаты эксперимента показали, что большинство моделей, так же как и пользователи-люди в исходном эксперименте, игнорировали аномалии или предлагали правдоподобные, но ложные объяснения, рационализируя выводы. Это указывает на риски ...
Added: February 15, 2026
Sadeghi Z., Alizadehsani R., Cifci M. A. et al., Computers and Electrical Engineering 2024 Vol. 118 No. A Article 109370
Explainable Artificial Intelligence (XAI) encompasses the strategies and methodologies used in constructing AI systems that enable end-users to comprehend and interpret the outputs and predictions made by AI models. The increasing deployment of opaque AI applications in high-stakes fields, particularly healthcare, has amplified the need for clarity and explainability. This stems from the potential high-impact ...
Added: June 8, 2024
Magai German, Soroka A., , in: Advances in Neural Computation, Machine Learning, and Cognitive Research VIIVol. 1120.: 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 29, 2023
Tamara Teplova, Tatiana Sokolova, David Kissa, Resources Policy 2023 Vol. 86 No. B Article 104253
The purpose of the paper is to reveal the impact of different environment, social, and corporate governance (ESG) indicators on stock liquidity in the emerging Russian market, which is heavily dominated by the natural resources sector. We first apply Explainable Artificial Intelligence (AI) to identify and rank determining factors for stock liquidity on a sample ...
Added: October 23, 2023
Jin S., Lee H., Park C. et al., IEEE Transactions on Visualization and Computer Graphics 2023 Vol. 29 No. 1 P. 1102–1112
With deep learning (DL) outperforming conventional methods for different tasks, much effort has been devoted to utilizing DL in various domains. Researchers and developers in the traffic domain have also designed and improved DL models for forecasting tasks such as estimation of traffic speed and time of arrival. However, there exist many challenges in analyzing ...
Added: May 17, 2023
Demidovskij A., Savina T., Suvorov A. et al., , in: Proceedings of Seventh International Congress on Information and Communication Technology. ICICT 2022, London, Volume 2Vol. 2.: Springer, 2022. P. 785–794.
Added: August 11, 2022
Kuznetsov V. V., Moskalenko V. A., Gribanov D. et al., Frontiers in Genetics 2021 Article 638191
We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder. Our goal was to encode the original ECG signal using as few features as possible. Using this method we extracted a vector of new 25 features, which in many cases can be interpreted. The generated ECG has ...
Added: October 29, 2021
Anna Smirnova, Suvorova A., , in: Digital Transformation and Global Society: 5th International Conference, DTGS 2020, St. Petersburg, Russia, June 17–19, 2020, Revised Selected Papers.: Springer, 2020. Ch. 8 P. 107–116.
Added: September 30, 2021
Ignatov D. I., Kwuida L., , in: Ontologies and Concepts in Mind and Machine. 25th International Conference on Conceptual Structures, ICCS 2020.: Springer, 2020. P. 90–102.
Among the family of rule-based classification models, there are classifiers based on conjunctions of binary attributes. For example, the JSM-method of automatic reasoning (named after John Stuart Mill) was formulated as a classification technique in terms of intents of formal concepts as classification hypotheses. These JSM-hypotheses already represent an interpretable model since the respective conjunctions ...
Added: October 30, 2020
Ignatov D. I., Kwuida L., , in: Proceedings of the Fifthteenth International Conference on Concept Lattices and Their ApplicationsVol. 2668.: CEUR-WS.org, 2020. P. 259–271.
We propose the usage of two power indices from cooperative game theory and public choice theory for ranking attributes of closed sets, namely intents of formal concepts (or closed itemsets). The introduced indices are related to extensional concept stability and based on counting generators, especially those that contain a selected attribute. The introduction of such ...
Added: October 30, 2020
Krylov S., Пчельникова М. И., Вестник компьютерных и информационных технологий 2015 № 12 С. 50–55
The user interface is a common ground of software internals with environment. Parameterization of UI (user interface) allows to estimate success of the software product. UI can be judged quantitatively. In this article applicable metrics of the user interface are presented. The measurements on successful and unsuccessful software products are compared. The first group of ...
Added: November 9, 2018
Shunin T., Zubkova N., Sergey Shershakov, , in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018.: Springer, 2018. P. 261–273.
Process mining deals with various types of formal models. Some of them are used at intermediate stages of synthesis and analysis, whereas others are the desired goals themselves. Transition systems (TS) are widely used in both scenarios. Process discovery, which is a special case of the synthesis problem, tries to find patterns in event logs. ...
Added: June 21, 2018
Бобриков В. В., Ненова Е. Н., Ignatov D. I., , in: Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016Vol. 1627.: Aachen: CEUR Workshop Proceedings, 2016. P. 1–12.
We propose a new quality metric for recommender systems. The main feature of our approach is the fact, that we take into account the set of requirements, which are important for business application of a recommender. Thus, we construct a general criterion, named “audience satisfaction”, which thoroughly describe the result of interaction between users and ...
Added: October 24, 2016
Сухов А. А., Semin V. G., Nikolsky S. N., В кн.: Программное и информационное обеспечение систем различного назначения на базе персональных ЭВМ: межвузовский сборник научных трудовВып. 13.: М.: Московский государственный университет приборостроения и информатики, 2010. С. 80–86.
В статье приведены результаты разработки подхода к построению модели качества процесса сопровождения ИТ-систем. Предложены метрики для оценки качества процесса управления проблемами. ...
Added: May 11, 2012