Maxim Proskurin

Orcid: 0000-0002-6601-3133

According to our database1, Maxim Proskurin authored at least 7 papers between 2019 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Case study of digital innovation process improvement, using BPMN, case-based reasoning, and text mining.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

2021
Predicting Customer Churn Using Machine Learning in IT Startups.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

2020
Application of Game Theory for Decisions Making on the Development of IT Products.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Product Development of Start-up Through Modeling of Customer Interaction Based on Data Mining.
DSMP (Selected Papers), 2020

Trainable Neural Networks Modelling for a Forecasting of Start-Up Product Development.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019
Investigation of Forecasting Methods of the State of Complex IT-Projects with the Use of Deep Learning Neural Networks.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Methods of Proactive Management of Complex Projects Based on Neural Networks.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019


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