Boian S. Alexandrov

发表

Weak matching of temporal interval graphs of sensors for robust multimodal event detection in noise

Lakshman Prasad, Boian S. Alexandrov, Benjamin T. Nebgen, 2020, Defense + Commercial Sensing.

Entropy–Driven Conformations Controlling DNA Functions

Alan R. Bishop, Boian S. Alexandrov, Kim Ø. Rasmussen, 2012 .

Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization

Gopinath Chennupati, Hristo Djidjev, Amarda Shehu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

W14_CONTAMINANTREMEDIATION: High Performance Computing (HPC) for Multi-scale Decision Analyses: From Pore-scale Processes to Field-scale Contaminant Remediation

Velimir V. Vesselinov, Boian S. Alexandrov, Daniel O'Malley, 2016 .

Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers

Velimir V. Vesselinov, Boian S. Alexandrov, Valentin Stanev, 2019, Stat. Anal. Data Min..

Multi-resolution Cluster Analysis - Addressing Trust in Climate Classification

Phillip J. Wolfram, Derek DeSantis, Boian S. Alexandrov, 2019 .

Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering

Ichiro Takeuchi, Velimir V. Vesselinov, Boian S. Alexandrov, 2018, npj Computational Materials.

Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method

Velimir V. Vesselinov, Boian S. Alexandrov, Valentin Stanev, 2018, Applied Mathematical Modelling.

The role of structural parameters in DNA cyclization

Ludmil B. Alexandrov, Boian S. Alexandrov, Kim Ø. Rasmussen, 2016, BMC Bioinformatics.

Binding of Nucleoid-Associated Protein Fis to DNA Is Regulated by DNA Breathing Dynamics

Fangping Mu, William S. Hlavacek, Elizabeth Hong-Geller, 2013, PLoS Comput. Biol..

Toward a Detailed Description of the Thermally Induced Dynamics of the Core Promoter

Sang Wook Yoo, Boian S. Alexandrov, Kim Ø. Rasmussen, 2009, PLoS Comput. Biol..

Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics

Hristo Djidjev, Velimir V. Vesselinov, Boian S. Alexandrov, 2018 .

A neural network for determination of latent dimensionality in non-negative matrix factorization pdf

Raviteja Vangara, Boian S. Alexandrov, Benjamin T. Nebgen, 2020, Machine Learning: Science and Technology.

Determination of Latent Dimensionality in International Trade Flow pdf

Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov, 2020, ArXiv.

Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing

Satish Karra, Maruti Kumar Mudunuru, Velimir V. Vesselinov, 2018, J. Comput. Phys..

Identification of Anomalous Diffusion Sources by Unsupervised Learning pdf

Raviteja Vangara, Boian S. Alexandrov, Dimiter N. Petsev, 2020, Physical Review Research.

Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

Velimir V. Vesselinov, Ludmil B. Alexandrov, Boian S. Alexandrov, 2017, PloS one.

Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures

Gopinath Chennupati, Hristo Djidjev, Nasrin Akhter, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes

Velimir V. Vesselinov, Sandrasegaram Gnanakaran, Boian S. Alexandrov, 2019, bioRxiv.

Semi-supervised Machine Learning for Analysis of Hydrogeochemical Data and Models

Velimir V. Vesselinov, Boian S. Alexandrov, Daniel O'Malley, 2017 .

Machine learning approach for identification of release sources in advection-diffusion systems pdf

Velimir V. Vesselinov, Boian S. Alexandrov, Filip L. Iliev, 2016, ArXiv.

COVID-19 multidimensional kaggle literature organization

Boian S. Alexandrov, Maksim E. Eren, Chris Hamer, 2021, DocEng.

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization pdf

Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov, 2022, ArXiv.

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization

Erik Skau, Gopinath Chennupati, Hristo Djidjev, 2021, IEEE Access.

Boolean Hierarchical Tucker Networks on Quantum Annealers pdf

Georg Hahn, Boian S. Alexandrov, Daniel O'Malley, 2021, LSSC.

Tensor Text-Mining Methods for Malware Identification and Detection, Malware Dynamics Characterization, and Hosts Ranking

Boian S. Alexandrov, Maksim Eren, 2021 .

Determination of the number of clusters by symmetric non-negative matrix factorization

Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, 2021, Defense + Commercial Sensing.

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition

Jesus Pulido, John Patchett, Manish Bhattarai, 2021 .

Quantum Annealing Algorithms for Boolean Tensor Networks

Georg Hahn, Boian S. Alexandrov, Daniel O'Malley, 2021 .

Specificity and Heterogeneity of Terahertz Radiation Effect on Gene Expression in Mouse Mesenchymal Stem Cells

Alan R. Bishop, Ludmil B. Alexandrov, M. Lisa Phipps, 2013, Scientific Reports.

Mammalian Stem Cells Reprogramming in Response to Terahertz Radiation

Alan R. Bishop, Ludmil B. Alexandrov, M. Lisa Phipps, 2010, PloS one.

Non-thermal effects of terahertz radiation on gene expression in mouse stem cells

Alan R. Bishop, Ludmil B. Alexandrov, M. Lisa Phipps, 2011, Biomedical optics express.

DNA dynamics play a role as a basal transcription factor in the positioning and regulation of gene transcription initiation

Alan R. Bishop, Ludmil B. Alexandrov, Sang Wook Yoo, 2009, Nucleic acids research.

Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization

Velimir V. Vesselinov, Boian S. Alexandrov, V. Vesselinov, 2014 .

DNA Dynamics Is Likely to Be a Factor in the Genomic Nucleotide Repeats Expansions Related to Diseases

Isaac S. Kohane, Alan R. Bishop, Ludmil B. Alexandrov, 2011, PloS one.