Boian S. Alexandrov
Orcid: 0000-0001-8636-4603
According to our database1,
Boian S. Alexandrov
authored at least 59 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
J. Supercomput., March, 2024
J. Supercomput., February, 2024
Tensor networks for solving the time-independent Boltzmann neutron transport equation.
J. Comput. Phys., 2024
Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation.
CoRR, 2024
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
CoRR, 2024
CoRR, 2024
Tensor Network Space-Time Spectral Collocation Method for Time Dependent Convection-Diffusion-Reaction Equations.
CoRR, 2024
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
2023
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.
ACM Trans. Priv. Secur., November, 2023
J. Parallel Distributed Comput., September, 2023
The tensor-train mimetic finite difference method for three-dimensional Maxwell's wave propagation equations.
Math. Comput. Simul., 2023
Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation.
CoRR, 2023
Proceedings of the IEEE Military Communications Conference, 2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition.
ACM Trans. Knowl. Discov. Data, 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Numer. Linear Algebra Appl., 2022
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection.
CoRR, 2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation.
CoRR, 2022
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data.
CoRR, 2022
CoRR, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022
2021
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the 21st Eurographics Conference on Visualization, 2021
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021
Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization.
Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021
2020
Distributed non-negative matrix factorization with determination of the number of latent features.
J. Supercomput., 2020
Mach. Learn. Sci. Technol., 2020
Coarse-grain cluster analysis of tensors with application to climate biome identification.
Mach. Learn. Sci. Technol., 2020
Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions.
CoRR, 2020
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization.
CoRR, 2020
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Proceedings of the International Conference on Rebooting Computing, 2020
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers.
Stat. Anal. Data Min., 2019
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.
J. Comput. Phys., 2019
Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2017
2016
Machine learning approach for identification of release sources in advection-diffusion systems.
CoRR, 2016
Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering.
CoRR, 2016
2013
Binding of Nucleoid-Associated Protein Fis to DNA Is Regulated by DNA Breathing Dynamics.
PLoS Comput. Biol., 2013
2009
Toward a Detailed Description of the Thermally Induced Dynamics of the Core Promoter.
PLoS Comput. Biol., 2009