Raviteja Vangara

According to our database, Raviteja Vangara authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment.

Marcos Díaz-Gay, Raviteja Vangara, Mark Barnes, Xi Wang, S. M. Ashiqul Islam, Ian Vermes, Stephen Duke, Nithish Bharadhwaj Narasimman, Ting Yang, Zichen Jiang, Sarah J. Moody, Sergey Senkin, Paul Brennan, Michael R. Stratton, Ludmil B. Alexandrov

Bioinform., December, 2023

2022

Improved Protein Decoy Selection via Non-Negative Matrix Factorization.

Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

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

Nonnegative Tensor-Train Low-Rank Approximations of the Smoluchowski Coagulation Equation.

Gianmarco Manzini, Erik Skau, Duc Phan Minh Truong, Raviteja Vangara

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

Distributed non-negative matrix factorization with determination of the number of latent features.

Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo N. Djidjev, Boian S. Alexandrov

J. Supercomput., 2020

Identification of Anomalous Diffusion Sources by Unsupervised Learning.

Raviteja Vangara, Kim Ø. Rasmussen, Dimiter N. Petsev, Golan Bel, Boian S. Alexandrov

CoRR, 2020

A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization.

Benjamin T. Nebgen, Raviteja Vangara, Miguel Ángel Hombrados-Herrera, Svetlana Kuksova, Boian S. Alexandrov

CoRR, 2020

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

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Distributed Non-Negative Tensor Train Decomposition.

Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

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

Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

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

Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019