Some results in abstract optimal linear filtering. - Vladimir N. Fomin; Michael V. Ruzhansky (CDC, 2000)

Abstract Optimal Linear Filtering. - Vladimir N. Fomin; Michael V. Ruzhansky (SIAM J. Control. Optim., 2000)

Criteria for Bochner's extension problem. - Michael V. Ruzhansky; Mitsuru Sugimoto (Asymptot. Anal., 2010)

Approximation property and nuclearity on mixed-norm Lp, modulation and Wiener amalgam spaces. - J. Delgado; Michael V. Ruzhansky; B. Wang (J. Lond. Math. Soc., 2016)

Feature extraction for license plate location based on L0-norm smoothing. - Junqing Huang; Michael V. Ruzhansky; Haoxiang Feng; Lingfang Zheng; Xin Huang; Haihui Wang (Open Comput. Sci., 2019)

Tsunami propagation for singular topographies. - Arshyn Altybay; Michael V. Ruzhansky; Mohammed Elamine Sebih; Niyaz Tokmagambetov (CoRR, 2020)

A parallel hybrid implementation of the 2D acoustic wave equation. - Arshyn Altybay; Michael V. Ruzhansky; Niyaz Tokmagambetov (CoRR, 2020)

The heat equation with strongly singular potentials. - Arshyn Altybay; Michael V. Ruzhansky; Mohammed Elamine Sebih; Niyaz Tokmagambetov (Appl. Math. Comput., 2021)

Explicit solutions for linear variable-coefficient fractional differential equations with respect to functions. - Joel E. Restrepo; Michael V. Ruzhansky; Durvudkhan Suragan (Appl. Math. Comput., 2021)

A note on K-functional, Modulus of smoothness, Jackson theorem and Bernstein-Nikolskii-Stechkin inequality on Damek-Ricci spaces. - Vishvesh Kumar; Michael V. Ruzhansky (J. Approx. Theory, 2021)

A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. - Xuechao Wang; Junqing Huang; Marianna Chatzakou; Kadri Medijainen; Pille Taba; Aaro Toomela; Sven Nõmm; Michael V. Ruzhansky (CBMS, 2023)

Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising. - Junqing Huang; Haihui Wang; Michael V. Ruzhansky (CoRR, 2023)

Semi-sparsity Priors for Image Structure Analysis and Extraction. - Junqing Huang; Haihui Wang; Michael V. Ruzhansky (CoRR, 2023)

Optimal Image Transport on Sparse Dictionaries. - Junqing Huang; Haihui Wang; Andreas Weiermann; Michael V. Ruzhansky (CoRR, 2023)

Semi-Sparsity for Smoothing Filters. - Junqing Huang; Haihui Wang; Xuechao Wang; Michael V. Ruzhansky (IEEE Trans. Image Process., 2023)

Intrinsic Image Transfer for Illumination Manipulation. - Junqing Huang; Michael V. Ruzhansky; Qianying Zhang; Haihui Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. - Xuechao Wang; Junqing Huang; Marianna Chatzakou; Kadri Medijainen; Aaro Toomela; Sven Nõmm; Michael V. Ruzhansky (Comput. Methods Programs Biomed., 2024)

Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease. - Xuechao Wang; Junqing Huang; Marianna Chatzakou; Sven Nõmm; Elli Valla; Kadri Medijainen; Pille Taba; Aaro Toomela; Michael V. Ruzhansky (Biomed. Signal Process. Control., 2024)

PointExplainer: Towards Transparent Parkinson's Disease Diagnosis. - Xuechao Wang; Sven Nomm; Junqing Huang; Kadri Medijainen; Aaro Toomela; Michael V. Ruzhansky (CoRR, 2025)