Boian S. Alexandrov

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 76

Top Topics

Matrix Factorization

Tensor Decomposition

Automatic Model Selection

Wave Propagation

Top Venues

Publications

Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR (2024)
Dibyendu Adak, Mustafa Engin Danis, Duc P. Truong, Kim Ø. Rasmussen, Boian S. Alexandrov
Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation. CoRR (2024)
Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
Tensor-Train WENO Scheme for Compressible Flows. CoRR (2024)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (3) (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR (2024)
Ismael Boureima, Manish Bhattarai, Maksim Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (4) (2024)
Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
Tensor networks for solving the time-independent Boltzmann neutron transport equation. J. Comput. Phys. 507 (2024)
Dibyendu Adak, Duc P. Truong, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
Tensor Network Space-Time Spectral Collocation Method for Time Dependent Convection-Diffusion-Reaction Equations. CoRR (2024)
Ryan Barron, Maksim Eken Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR (2024)
Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS (2024)
Selma Wanna, Ryan Barron, Nick Solovyev, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. CoRR (2024)
Anowarul Kabir, Manish Bhattarai, Kim Ø. Rasmussen, Amarda Shehu, Anny Usheva, Alan R. Bishop, Boian S. Alexandrov
Examining DNA breathing with pyDNA-EPBD. Bioinform. 39 (10) (2023)
Alexander Most, Maksim Ekin Eren, Nigel Lawrence, Boian S. Alexandrov
Electrical Grid Anomaly Detection via Tensor Decomposition. CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI (2023)
Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. 179 (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26 (4) (2023)
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. ICMLA (2023)
Gianmarco Manzini, Boian S. Alexandrov, Duc Phan Minh Truong, Radoslav G. Vuchkov
The Tensor-Train Mimetic Finite Difference Method for Three-Dimensional Maxwell's Wave Propagation Equations. LSSC (2023)
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
Robust Adversarial Defense by Tensor Factorization. ICMLA (2023)
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Benjamin T. Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
Robust Adversarial Defense by Tensor Factorization. CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR (2023)
Alexander Most, Maksim Ekin Eren, Boian S. Alexandrov, Nigel Lawrence
Electrical Grid Anomaly Detection via Tensor Decomposition. MILCOM (2023)
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. CoRR (2023)
Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation. CoRR (2023)
Gianmarco Manzini, Duc Phan Minh Truong, Radoslav G. Vuchkov, Boian S. Alexandrov
The tensor-train mimetic finite difference method for three-dimensional Maxwell's wave propagation equations. Math. Comput. Simul. 210 (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR (2023)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR (2022)
Derek DeSantis, Erik Skau, Duc P. Truong, Boian S. Alexandrov
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
Improved Protein Decoy Selection via Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR (2022)
Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR (2022)
Boian S. Alexandrov, Derek F. DeSantis, Gianmarco Manzini, Erik W. Skau
Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC. Numer. Linear Algebra Appl. 29 (6) (2022)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng (2022)
Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. CoRR (2022)
Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
One-Shot Federated Group Collaborative Filtering. ICMLA (2022)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC (2022)
Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR (2022)
Duc P. Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. CoRR (2021)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) (2021)
Duc P. Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. IEEE Access 9 (2021)
Giancarlo Sanchez, Erik Skau, Boian S. Alexandrov
Automatic Model Determination for Quaternion NMF. IEEE Access 9 (2021)
Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
COVID-19 Multidimensional Kaggle Literature Organization. CoRR (2021)
Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
COVID-19 multidimensional kaggle literature organization. DocEng (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR (2021)
Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov
Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. IEEE Access 9 (2021)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR (2021)
Kazi Lutful Kabir, Manish Bhattarai, Boian S. Alexandrov, Amarda Shehu
Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization. ICCABS (2021)
Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu
Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization. BIBM (2020)
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
Determination of latent dimensionality in international trade flow. Mach. Learn. Sci. Technol. 1 (4) (2020)
Raviteja Vangara, Kim Ø. Rasmussen, Dimiter N. Petsev, Golan Bel, Boian S. Alexandrov
Identification of Anomalous Diffusion Sources by Unsupervised Learning. CoRR (2020)
Benjamin T. Nebgen, Raviteja Vangara, Miguel Ángel Hombrados-Herrera, Svetlana Kuksova, Boian S. Alexandrov
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization. CoRR (2020)
Maksim Ekin Eren, Juston S. Moore, Boian S. Alexandrov
Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. ISI (2020)
Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian S. Alexandrov
Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification. CoRR (2020)
Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. ICMLA (2020)
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
Determination of Latent Dimensionality in International Trade Flow. CoRR (2020)
Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian S. Alexandrov
Coarse-grain cluster analysis of tensors with application to climate biome identification. Mach. Learn. Sci. Technol. 1 (4) (2020)
Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo N. Djidjev, Boian S. Alexandrov
Distributed non-negative matrix factorization with determination of the number of latent features. J. Supercomput. 76 (9) (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. HPEC (2020)
Hector Carrillo-Cabada, Erik Skau, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev
An Out of Memory tSVD for Big-Data Factorization. IEEE Access 8 (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. CoRR (2020)
Derek DeSantis, Erik Skau, Boian S. Alexandrov
Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions. CoRR (2020)
Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Tucker-1 Boolean Tensor Factorization with Quantum Annealers. ICRC (2020)
Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers. Stat. Anal. Data Min. 12 (4) (2019)
Boian S. Alexandrov, Derek DeSantis, Gianmarco Manzini, Erik Skau
Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors. CoRR (2019)
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. J. Comput. Phys. 395 (2019)
Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. BIBM (2019)
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. CoRR (2018)
Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov
Nonnegative/binary matrix factorization with a D-Wave quantum annealer. CoRR (2017)
Ludmil B. Alexandrov, Alan R. Bishop, Kim Ø. Rasmussen, Boian S. Alexandrov
The role of structural parameters in DNA cyclization. BMC Bioinform. 17 (2016)
Valentin G. Stanev, Filip L. Iliev, Velimir V. Vesselinov, Boian S. Alexandrov
Machine learning approach for identification of release sources in advection-diffusion systems. CoRR (2016)
Filip L. Iliev, Valentin G. Stanev, Velimir V. Vesselinov, Boian S. Alexandrov
Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering. CoRR (2016)
Kristy Nowak-Lovato, Ludmil B. Alexandrov, Afsheen Banisadr, Amy L. Bauer, Alan R. Bishop, Anny Usheva, Fangping Mu, Elizabeth Hong-Geller, Kim Ø. Rasmussen, William S. Hlavacek, Boian S. Alexandrov
Binding of Nucleoid-Associated Protein Fis to DNA Is Regulated by DNA Breathing Dynamics. PLoS Comput. Biol. 9 (1) (2013)
Boian S. Alexandrov, Vladimir Gelev, Sang Wook Yoo, Alan R. Bishop, Kim Ø. Rasmussen, Anny Usheva
Toward a Detailed Description of the Thermally Induced Dynamics of the Core Promoter. PLoS Comput. Biol. 5 (3) (2009)