1. Gradient-based methods for solving non-negative matrix tri-factorization problem
Janez Povh, Rok Hribar, 2020

Keywords: non-negative matrix factorization, p-matching problem, data co-clustering, patients sub-typing, drug repurposing, high-performance computing
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3. Towards a data-integrated cell
Noël Malod-Dognin, Julia Petschnigg, Sam F. L. Windels, Janez Povh, Harry Hemmingway, Robin Ketteler, Nataša Pržulj, 2019, original scientific article

Keywords: non-negative matrix factorization, data integration, cancer-related genes, pan-cancer genes, integrated cell, biological networks
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5. Incremental matrix factorization for simultaneous learning from parallel data streams
Martin Jakomin, 2019, doctoral dissertation

Keywords: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator
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7. Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
Rok Hribar, Timotej Hrga, Gregor Papa, Gašper Petelin, Janez Povh, Nataša Pržulj, Vida Vukašinović, 2022, original scientific article

Keywords: non-negative matrix factorization, fixed point method, block coordinate descent, projected gradient method, adaptive moment estimation method
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