Empirically Driven Orthonormal Bases for Functional Data Analysis. - Hiba Nassar; Krzysztof Podgórski (ENUMATH, 2019)

Splinets - efficient orthonormalization of the B-splines. - Xijia Liu; Hiba Nassar; Krzysztof Podgórski (CoRR, 2019)

Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis. - Rani Basna; Hiba Nassar; Krzysztof Podgórski (CoRR, 2021)

Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning. - Mads Emil Dahlgaard; Morten Wehlast Jørgensen; Niels Asp Fuglsang; Hiba Nassar (CoRR, 2022)

Dyadic diagonalization of positive definite band matrices and efficient B-spline orthogonalization. - Xijia Liu; Hiba Nassar; Krzysztof Podgórski (J. Comput. Appl. Math., 2022)

Data driven orthogonal basis selection for functional data analysis. - Rani Basna; Hiba Nassar; Krzysztof Podgórski (J. Multivar. Anal., 2022)

Splinets 1.5.0 - Periodic Splinets. - Hiba Nassar; Krzysztof Podgórski (CoRR, 2023)

Efficient spline orthogonal basis for representation of density functions. - Jana Burkotová; Ivana Pavlu; Hiba Nassar; Jitka Machalová; Karel Hron (CoRR, 2024)

Splinets - Orthogonal Splines for Functional Data Analysis. - Rani Basna; Hiba Nassar; Krzysztof Podgórski (R J., 2025)