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Browsing by Author "IAPASCURTA, Victor"

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Dealing With Missing Continuous Biomedical Data: a Data Recovery Method for Machine Learning Purposes

IAPASCURTA, Victor (Technical University of Moldova, 2022)

There are different approaches to dealing with missing data. A common one is by deleting observations containing such data, but it is not applicable when the volume of the data is limited. In this case, a number of methods ...
Estimation of Kolmogorov-Chaitin complexity on continuous biomedical data for machine learning purposes

IAPASCURTA, Victor (Springer Nature, 2024)

In the field of scientific research, the quest for understanding and explaining complex phenomena often involves uncovering patterns and underlying structures. To achieve this, researchers employ various methodologies and ...
Kolmogorov-Chaitin Algorithmic Complexity for EEG Analysis

IAPASCURTA, Victor; FIODOROV, Ion (Technical University of Moldova, 2022)

Electroencephalography as a generally accepted method of monitoring the electrical activity of brain neurons is widely used both in diseases and in healthy conditions. The recorded electrical signal is usually obtained ...
A Less Common Algorithmic Complexity Approach to EEG Signal Processing for Machine Learning

IAPASCURTA, Victor (Springer Nature Switzerland, 2023)

Electroencephalography (EEG) is a widely used neuroimaging technique that records the electrical activity of the brain. EEG analysis provides valuable insights into brain dynamics and understanding of neural processes. As ...
Modeling the human circulatory system using system dynamics: possibilities, benefits, and practical applications

IAPASCURTA, Victor (Technical University of Moldova, 2024)

System dynamics is a robust methodology for understanding the behavior of complex systems over time. Employing feedback loops, stocks, flows, and time delays provides a framework for simulating and analyzing dynamic systems. ...
Multi-agent approach for sepsis management

IAPASCURTA, Victor; FIODOROV, Ion; BELII, Adrian; BOSTAN, Viorel (Korean Society of Medical Informatics, 2025)

Objectives: The high incidence of sepsis necessitates the development of practical decision-making tools for intensivists, especially during the early, critical phases of management. This study evaluates a multi-agent ...
NLP Tools for Epileptic Seizure Prediction Using EEG Data: A Comparative Study of Three ML Models

IAPASCURTA, Victor; FIODOROV, Ion (Springer Nature Switzerland, 2023)

Natural Language Processing (NLP) is an ever-evolving field of computer science that involves the development of algorithms that can process, analyze and understand human language. One of the most exciting areas of NLP is ...
Semifinal results of a research project involving algorithmic complexity estimation and machine learning

IAPASCURTA, Victor (Technical University of Moldova, 2024)

In recent years, the intersection of algorithmic complexity and machine learning has opened new avenues for analyzing continuous biomedical data. This paper presents the semifinal results of a research project focused on ...

Browsing by Author "IAPASCURTA, Victor"

Browsing by Author "IAPASCURTA, Victor"

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