Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering. - Filip L. Iliev; Valentin G. Stanev; Velimir V. Vesselinov; Boian S. Alexandrov (CoRR, 2016)

Machine learning approach for identification of release sources in advection-diffusion systems. - Valentin G. Stanev; Filip L. Iliev; Velimir V. Vesselinov; Boian S. Alexandrov (CoRR, 2016)

Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers. - Boian S. Alexandrov; Valentin G. Stanev; Velimir V. Vesselinov; Kim Ø. Rasmussen (Stat. Anal. Data Min., 2019)

Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. - Raviteja Vangara; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Manish Bhattarai; Valentin G. Stanev; Boian S. Alexandrov (ICMLA, 2020)

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. - Valentin G. Stanev; Erik Skau; Ichiro Takeuchi; Boian S. Alexandrov (LSSC, 2021)

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. - Raviteja Vangara; Manish Bhattarai; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Valentin G. Stanev; Boian S. Alexandrov (IEEE Access, 2021)

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. - Manish Bhattarai; Ryan Barron; Maksim Ekin Eren; Minh Vu; Ves Grantcharov; Ismael Boureima; Valentin G. Stanev; Cynthia Matuszek; Vladimir I. Valtchinov; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2024)

Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation. - Dongik Lee; Valentin G. Stanev; Xiaohang Zhang; Mijeong Kang; Ichiro Takeuchi; Seunghun Lee (CoRR, 2025)

Topic Modeling and Link-Prediction for Material Property Discovery. - Ryan Barron; Maksim Ekin Eren; Valentin G. Stanev; Cynthia Matuszek; Boian S. Alexandrov (CoRR, 2025)