Igor Isaev

Orcid: 0000-0001-7121-2383

According to our database1, Igor Isaev authored at least 7 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Multitasking learning in missing data recovery for the integration of geophysical methods in solving an inverse problem of exploration geophysics.
Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

2018
Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017
Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution.
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

Training with Noise Addition in Neural Network Solution of Inverse Problems: Procedures for Selection of the Optimal Network.
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

2016
Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2013
Study of Influence of Parameter Grouping on the Error of Neural Network Solution of the Inverse Problem of Electrical Prospecting.
Proceedings of the Engineering Applications of Neural Networks, 2013


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