Pavlo Tkachenko

Orcid: 0000-0003-1858-9063

According to our database1, Pavlo Tkachenko authored at least 23 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System.
Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

2022

The JKU DORA Traffic Dataset.
IEEE Access, 2022

A Grid-based Surrogate Safety Measure for Traffic Safety Assessment.
Proceedings of the International Conference on Connected Vehicle and Expo, 2022

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

Interaction Models for Merging and Cut-in Scenarios.
Proceedings of the 2021 European Control Conference, 2021

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

2020
Context Aware Control of ADAS.
Proceedings of the 2020 American Control Conference, 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

Gap Acceptance Based Safety Assessment Of Autonomous Overtaking Function.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Unsupervised Clustering of Highway Motion Patterns.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 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

2018
Outcome Oriented Evaluation of Autonomous Driving Functions.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Regularization by the Linear Functional Strategy with Multiple Kernels.
Frontiers Appl. Math. Stat., 2017

A parameter choice strategy for the inversion of multiple observations.
Adv. Comput. Math., 2017

2016
A linear functional strategy for regularized ranking.
Neural Networks, 2016

On the convergence rate and some applications of regularized ranking algorithms.
J. Complex., 2016

Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application.
Comput. Methods Programs Biomed., 2016

Regularization by Aggregation of Global and Local Data on the Sphere.
Comput. Methods Appl. Math., 2016

Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions.
Appl. Math. Comput., 2016

2015
Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere.
SIAM J. Numer. Anal., 2015

Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation.
Comput. Methods Appl. Math., 2015


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