Ivan Izonin

Orcid: 0000-0002-9761-0096

According to our database1, Ivan Izonin authored at least 63 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Step Dynamic Ensemble Selection to Estimate Software Effort.
Appl. Artif. Intell., December, 2024

A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis.
Sensors, August, 2024

Advancements in AI-Based Information Technologies: Solutions for Quality and Security.
Syst., February, 2024

Quality and Security of Critical Infrastructure Systems.
Big Data Cogn. Comput., January, 2024

Synthesis of Convolutional Neural Network architectures for biomedical image classification.
Biomed. Signal Process. Control., 2024

PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage.
Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), 2024

Artificial Intelligence for the Future of Construction - abstract.
Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), 2024

Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition.
Proceedings of the 14th International Conference on Advanced Computer Information Technologies, 2024

2023
Smart systems and data-driven services in healthcare.
Comput. Biol. Medicine, May, 2023

Mathematical models of the information interaction process in 5G-IoT ecosystem: Different functional scenarios.
ICT Express, April, 2023

Smart technologies and its application for medical/healthcare services.
J. Reliab. Intell. Environ., March, 2023

Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks.
J. Artif. Intell. Soft Comput. Res., March, 2023

Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network.
Big Data Min. Anal., March, 2023

Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data.
Entropy, February, 2023

An Approach toward Automatic Specifics Diagnosis of Breast Cancer Based on an Immunohistochemical Image.
J. Imaging, January, 2023

An improved ANN-based global-local approximation for small medical data analysis.
EAI Endorsed Trans. Pervasive Health Technol., 2023

Editorial.
J. Cyber Secur. Mobil., 2023

Effective Software Effort Estimation Leveraging Machine Learning for Digital Transformation.
IEEE Access, 2023

A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation.
Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis.
Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets.
Mach. Learn. Knowl. Extr., December, 2022

Cyber Attack Evaluation Dataset for Deep Packet Inspection and Analysis.
Dataset, September, 2022

Special Issue on Safe and Reliable AI for Smart Sustainable Cities.
Symmetry, 2022

Mathematical Simulation of Behavior of Female Breast Consisting Malignant Tumor During Hormonal Changes.
IEEE Access, 2022

Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics.
IEEE Access, 2022

Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks.
Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data.
Proceedings of the Database and Expert Systems Applications, 2022

Towards Data Normalization Task for the Efficient Mining of Medical Data.
Proceedings of the 12th International Conference on Advanced Computer Information Technologies, 2022

2021
The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach.
Symmetry, 2021

Study of the Operation Process of the E-Commerce Oriented Ecosystem of 5Ge Base Station, Which Supports the Functioning of Independent Virtual Network Segments.
J. Theor. Appl. Electron. Commer. Res., 2021

Guest editorial: Reliability and usability of machine learning and IoT for urban intelligence.
J. Reliab. Intell. Environ., 2021

The Hierarchical Classifier for COVID-19 Resistance Evaluation.
Data, 2021

Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks.
Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19, 2021

Optimization of Technological's Processes Industry 4.0 Parameters for Details Manufacturing via Stamping: Rules of Queuing Systems.
Proceedings of the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2021) / The 16th International Conference on Future Networks and Communications (FNC-2021) / The 11th International Conference on Sustainable Energy Information Technology, 2021

Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task.
Proceedings of the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2021) / The 16th International Conference on Future Networks and Communications (FNC-2021) / The 11th International Conference on Sustainable Energy Information Technology, 2021

An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

A GRNN-based Approach towards Prediction from Small Datasets in Medical Application.
Proceedings of the 12th International Conference on Ambient Systems, 2021

Input Doubling Method based on SVR with <i>RBF</i> kernel in Clinical Practice: Focus on Small Data.
Proceedings of the 12th International Conference on Ambient Systems, 2021

2020
An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble.
Sensors, 2020

Forecast Method for Audit Data Analysis by Modified Liquid State Machine.
Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, 2020

Information Technology for Choosing the Trademark Considering the Attitude of Consumer (short paper).
Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, 2020

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach.
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Computational Models and Methods for Automated Risks Assessments in Deterministic Stationary Systems.
Proceedings of the 1st International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2020) co-located with XX International scientific and technical conference on Information Technologies in Education and Management (ІТЕМ 2020), 2020

2019
Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks.
Proceedings of the Mobile Web and Intelligent Information Systems, 2019

Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure.
Proceedings of the Advances in Computational Intelligence, 2019

SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset.
Proceedings of the Advances in Computational Intelligence, 2019

Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance.
Proceedings of the Big Data Innovations and Applications, 2019

GRNN Approach Towards Missing Data Recovery Between IoT Systems.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2019

An Efficient Image Encryption Scheme using Projective Transformations.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

An Approach Towards Image Encryption and Decryption using Quaternary Fractional-Linear Operations.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

Information Protection Service using Topological Image Coverage.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

An Extended-Input GRNN and its Application.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

Image Encryption and Decryption Schemes Using Linear and Quadratic Fractal Algorithms and Their Systems.
Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), 2019

2018
Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs.
Data, 2018

Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure.
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

Non-iterative Neural-like Predictor for Solar Energy in Libya.
Proceedings of the 14th International Conference on ICT in Education, 2018

Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region.
Proceedings of the 14th International Conference on ICT in Education, 2018

Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

2016
Two-frames image superresolution based on the aggregate divergence matrix.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

2015
Learning-based image super-resolution using weight coefficients of synaptic connections.
Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015


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