Aleksandr Talitckii

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Feature Selection Algorithms

Infinite Dimensional

Kernel Learning

Top Venues

IEEE Trans. Instrum. Meas.

IEEE J. Biomed. Health Informatics

Publications

Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet
Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Aleksandr Talitckii, Matthew M. Peet, Peter Seiler
Integral Quadratic Constraints with Infinite-Dimensional Channels. ACC (2023)
Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet
Efficient Convex Algorithms for Universal Kernel Learning. CoRR (2023)
Brendon K. Colbert, Joslyn L. Mangal, Aleksandr Talitckii, Abhinav P. Acharya, Matthew M. Peet
Employing Feature Selection Algorithms to Determine the Immune State of Mice with Rheumatoid Arthritis. CoRR (2022)
Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. IEEE Trans. Instrum. Meas. 71 (2022)
Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Aleksei Shcherbak, Oscar Mayora, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Dmitry V. Dylov, Andrey Somov
Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. IEEE Trans. Instrum. Meas. 70 (2021)
Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Oscar Mayora, Venet Osmani, Olga Zimniakova, Maxim Semenov, Ekaterina Bril, Dmitry V. Dylov, Andrey Somov
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. PervasiveHealth (2020)