Aleksandr Talitckii

According to our database, Aleksandr Talitckii authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A μ-Analysis and Synthesis Framework for Partial Integral Equations using IQCs.

Thijs Lenssen, Aleksandr Talitckii, Matthew M. Peet, Amritam Das

CoRR, November, 2025

A New Parametric Uncertainty Approach to Systems With Time-Varying Delay and Feedback Stabilization.

Aleksandr Talitckii, Eduardo S. Tognetti, Peter J. Seiler, Matthew M. Peet

IEEE Control. Syst. Lett., 2025

2024

Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis.

Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet

IEEE J. Biomed. Health Informatics, April, 2024

Efficient Convex Algorithms for Universal Kernel Learning.

Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet

J. Mach. Learn. Res., 2024

2023

Integral Quadratic Constraints with Infinite-Dimensional Channels.

Aleksandr Talitckii, Matthew M. Peet, Peter Seiler

Proceedings of the American Control Conference, 2023

2022

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease.

Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov

IEEE Trans. Instrum. Meas., 2022

Employing Feature Selection Algorithms to Determine the Immune State of Mice with Rheumatoid Arthritis.

Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii, Abhinav P. Acharya, Matthew M. Peet

CoRR, 2022

2021

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors.

Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Aleksei Shcherbak, Oscar Mayora, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Dmitry V. Dylov, Andrey Somov

IEEE Trans. Instrum. Meas., 2021

2020

Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage.

Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Oscar Mayora, Venet Osmani, Olga Zimniakova, Maxim Semenov, Ekaterina Bril, Dmitry V. Dylov, Andrey Somov

Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020