Alexey N . Averkin | REA Plekhanov (original) (raw)

Alexey N . Averkin

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Papers by Alexey N . Averkin

Research paper thumbnail of Explanatory Artificial Intelligence, Results and Prospects

Describes the DARPA Explanatory Artificial Intelligence (XAI) program, which seeks to create arti... more Describes the DARPA Explanatory Artificial Intelligence (XAI) program, which seeks to create artificial intelligence systems whose learning models and solutions can be understood and properly validated by end users. DARPA considers XAI as artificial intelligence systems AI that can explain their decision to a human user, characterize their strengths and weaknesses, and how they will behave in the future. To achieve this goal, methods have been developed for constructing explainable models of intelligent systems that are effective explanatory interfaces and psychological models of users for effective explanation. The XAI development teams are described that solve these three problems by creating and developing explainable machine learning (ML) technologies, developing principles, strategies, and methods of human-computer interaction for obtaining effective explanations and applying psychological explanatory theories to assess the quality of XAI systems.

Research paper thumbnail of D.A. Pospelov and the Development of Artificial Intelligence in the Soviet Union and the Russian Federation

Pattern recognition and image analysis, Dec 1, 2023

Research paper thumbnail of Possibilities of deep learning neural networks for satellite image recognition

Journal of physics, Dec 1, 2020

The main problem solved in this project is the analysis of big data using a system of computer pr... more The main problem solved in this project is the analysis of big data using a system of computer processing and recognition of satellite images, based on a deep neural network architecture. The goal of the project is to develop methodological, theoretical and practical aspects of building such systems in poorly formalized subject areas, as well as to study the possibilities and advantages of building predictive models for analyzing fresh water reserves and predicting the direction, speed and nature of the spread of large fires using such systems. and assessments of the economic impact of these natural disasters.

Research paper thumbnail of Explainable Artificial Intelligence in Medical Image Analysis: State of the Art and Prospects

Research paper thumbnail of Нечеткие поведенческие моделипринятия решений c учетомиррациональности поведения человека

Научные труды Вольного экономического общества России, 2014

физико-математических наук, доцент, доцент кафедры информатики Российского экономического универс... more физико-математических наук, доцент, доцент кафедры информатики Российского экономического университета имени Г.В. Плеханова

Research paper thumbnail of Ideas of Lotfi Zadeh in Explainable Artificial Intelligence

Studies in fuzziness and soft computing, 2023

Research paper thumbnail of ИНТЕЛЛЕКТУАЛЬНЫЕ КОГНИТИВНЫЕ СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ

Научные труды Вольного экономического общества России, 2014

Research paper thumbnail of Evaluation of Alternatives for the Disposition of Surplus Weapons-Usable Plutonium on the Basis of Fuzzy Sets

European Society for Fuzzy Logic and Technology Conference, 2007

Multiattribute evaluation of alternatives for the disposition of surplus weapons-usable plutonium... more Multiattribute evaluation of alternatives for the disposition of surplus weapons-usable plutonium on the base of fuzzy sets has been made.

Research paper thumbnail of Explainable Artificial Intelligence in Clinical Decision Support Systems

Research paper thumbnail of Explainable Artificial Intelligence: Rules Extraction from Neural Networks

Research paper thumbnail of Fuzzy modelling relation in AI systems

Research paper thumbnail of Fuzzy Approach to Explainable Artificial Intelligence

Research paper thumbnail of Formal description of interaction between elements of a complex system

Research paper thumbnail of About Valery Borisovich TARASOV (16.02.1955–22.07.2021)

Research paper thumbnail of Rule Extraction Methods from Neural Networks

Advances in intelligent systems and computing, 2023

Research paper thumbnail of The Ideas of L. Zadeh and R. Aliev in the 3rd Generation of Artificial Intelligence

Research paper thumbnail of Application of models of fuzzy hierarchical estimation in the system of hybrid models of short-term forecasting

Research paper thumbnail of Перспективы применения гибридных методов прогнозирования показателей Государственной программы России «Развитие науки и технологий»

Программные продукты и системы, Aug 27, 2014

Research paper thumbnail of Hybrid intelligent system of rules extraction for decision making

Journal of physics, Dec 1, 2020

This article attempts to give an overview of several algorithms for extracting rules from an arti... more This article attempts to give an overview of several algorithms for extracting rules from an artificial neural network. The goal of this article is to find critical links three important parts of artificial intelligence – production models, fuzzy logic and deep learning. Such an approach will stimulate researchers in the field of soft computing to develop applied systems in the field of explanational artificial intelligence and machine learning.

Research paper thumbnail of Time series analysis based on the biologically inspired modular approach

Procedia Computer Science, 2017

Peer-review under responsibility of the scientific committee of the 9th International Conference ... more Peer-review under responsibility of the scientific committee of the 9th International Conference on Theory and application of Soft Computing, Computing with Words and Perception.

Research paper thumbnail of Explanatory Artificial Intelligence, Results and Prospects

Describes the DARPA Explanatory Artificial Intelligence (XAI) program, which seeks to create arti... more Describes the DARPA Explanatory Artificial Intelligence (XAI) program, which seeks to create artificial intelligence systems whose learning models and solutions can be understood and properly validated by end users. DARPA considers XAI as artificial intelligence systems AI that can explain their decision to a human user, characterize their strengths and weaknesses, and how they will behave in the future. To achieve this goal, methods have been developed for constructing explainable models of intelligent systems that are effective explanatory interfaces and psychological models of users for effective explanation. The XAI development teams are described that solve these three problems by creating and developing explainable machine learning (ML) technologies, developing principles, strategies, and methods of human-computer interaction for obtaining effective explanations and applying psychological explanatory theories to assess the quality of XAI systems.

Research paper thumbnail of D.A. Pospelov and the Development of Artificial Intelligence in the Soviet Union and the Russian Federation

Pattern recognition and image analysis, Dec 1, 2023

Research paper thumbnail of Possibilities of deep learning neural networks for satellite image recognition

Journal of physics, Dec 1, 2020

The main problem solved in this project is the analysis of big data using a system of computer pr... more The main problem solved in this project is the analysis of big data using a system of computer processing and recognition of satellite images, based on a deep neural network architecture. The goal of the project is to develop methodological, theoretical and practical aspects of building such systems in poorly formalized subject areas, as well as to study the possibilities and advantages of building predictive models for analyzing fresh water reserves and predicting the direction, speed and nature of the spread of large fires using such systems. and assessments of the economic impact of these natural disasters.

Research paper thumbnail of Explainable Artificial Intelligence in Medical Image Analysis: State of the Art and Prospects

Research paper thumbnail of Нечеткие поведенческие моделипринятия решений c учетомиррациональности поведения человека

Научные труды Вольного экономического общества России, 2014

физико-математических наук, доцент, доцент кафедры информатики Российского экономического универс... more физико-математических наук, доцент, доцент кафедры информатики Российского экономического университета имени Г.В. Плеханова

Research paper thumbnail of Ideas of Lotfi Zadeh in Explainable Artificial Intelligence

Studies in fuzziness and soft computing, 2023

Research paper thumbnail of ИНТЕЛЛЕКТУАЛЬНЫЕ КОГНИТИВНЫЕ СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ

Научные труды Вольного экономического общества России, 2014

Research paper thumbnail of Evaluation of Alternatives for the Disposition of Surplus Weapons-Usable Plutonium on the Basis of Fuzzy Sets

European Society for Fuzzy Logic and Technology Conference, 2007

Multiattribute evaluation of alternatives for the disposition of surplus weapons-usable plutonium... more Multiattribute evaluation of alternatives for the disposition of surplus weapons-usable plutonium on the base of fuzzy sets has been made.

Research paper thumbnail of Explainable Artificial Intelligence in Clinical Decision Support Systems

Research paper thumbnail of Explainable Artificial Intelligence: Rules Extraction from Neural Networks

Research paper thumbnail of Fuzzy modelling relation in AI systems

Research paper thumbnail of Fuzzy Approach to Explainable Artificial Intelligence

Research paper thumbnail of Formal description of interaction between elements of a complex system

Research paper thumbnail of About Valery Borisovich TARASOV (16.02.1955–22.07.2021)

Research paper thumbnail of Rule Extraction Methods from Neural Networks

Advances in intelligent systems and computing, 2023

Research paper thumbnail of The Ideas of L. Zadeh and R. Aliev in the 3rd Generation of Artificial Intelligence

Research paper thumbnail of Application of models of fuzzy hierarchical estimation in the system of hybrid models of short-term forecasting

Research paper thumbnail of Перспективы применения гибридных методов прогнозирования показателей Государственной программы России «Развитие науки и технологий»

Программные продукты и системы, Aug 27, 2014

Research paper thumbnail of Hybrid intelligent system of rules extraction for decision making

Journal of physics, Dec 1, 2020

This article attempts to give an overview of several algorithms for extracting rules from an arti... more This article attempts to give an overview of several algorithms for extracting rules from an artificial neural network. The goal of this article is to find critical links three important parts of artificial intelligence – production models, fuzzy logic and deep learning. Such an approach will stimulate researchers in the field of soft computing to develop applied systems in the field of explanational artificial intelligence and machine learning.

Research paper thumbnail of Time series analysis based on the biologically inspired modular approach

Procedia Computer Science, 2017

Peer-review under responsibility of the scientific committee of the 9th International Conference ... more Peer-review under responsibility of the scientific committee of the 9th International Conference on Theory and application of Soft Computing, Computing with Words and Perception.

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