Patrik Waldmann

According to our database, Patrik Waldmann authored at least 10 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

A Proximal Multi-Objective Optimization Method for Incorporation of Polygenic Breeding Values in Genomic Prediction.

Patrik Waldmann, Yuhua Fan

IEEE Trans. Comput. Biol. Bioinform., 2026

Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.

Yuhua Fan, Ilkka Launonen, Mikko J. Sillanpää, Patrik Waldmann

Briefings Bioinform., 2026

2025

Multi-task genomic prediction using gated residual variable selection neural networks.

Yuhua Fan, Patrik Waldmann

BMC Bioinform., December, 2025

A Review of Causal Methods for High-Dimensional Data.

Zewude A. Berkessa, Esa Läärä, Patrik Waldmann

IEEE Access, 2025

2024

Tabular deep learning: a comparative study applied to multi-task genome-wide prediction.

Yuhua Fan, Patrik Waldmann

BMC Bioinform., December, 2024

Weighted L1 and L0 Regularization Using Proximal Operator Splitting Methods.

Zewude A. Berkessa, Patrik Waldmann

Trans. Mach. Learn. Res., 2024

Evaluation of Sparse Proximal Multi-Task Learning for Genome-Wide Prediction.

Yuhua Fan, Ilkka Launonen, Mikko J. Sillanpää, Patrik Waldmann

IEEE Access, 2024

2021

A proximal LAVA method for genome-wide association and prediction of traits with mixed inheritance patterns.

Patrik Waldmann

BMC Bioinform., 2021

2019

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction.

Patrik Waldmann, Maja Ferencakovic, Gábor Mészáros, Negar Khayatzadeh, Ino Curik, Johann Sölkner

BMC Bioinform., 2019

2004

BAPS 2: enhanced possibilities for the analysis of genetic population structure.

Jukka Corander, Patrik Waldmann, Pekka Marttinen, Mikko J. Sillanpää

Bioinform., 2004