Manish Bhattarai

Orcid: 0000-0002-1421-3643

According to our database1, Manish Bhattarai authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures.
J. Supercomput., March, 2024

Distributed out-of-memory NMF on CPU/GPU architectures.
J. Supercomput., February, 2024

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
CoRR, 2024

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.
CoRR, 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

Examining DNA breathing with pyDNA-EPBD.
Bioinform., October, 2023

Distributed non-negative RESCAL with automatic model selection for exascale data.
J. Parallel Distributed Comput., September, 2023

Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution.
CoRR, 2023

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Robust Adversarial Defense by Tensor Factorization.
Proceedings of the International Conference on Machine Learning and Applications, 2023

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

Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data.
CoRR, 2022

One-Shot Federated Group Collaborative Filtering.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Distributed Out-of-Memory SVD on CPU/GPU Architectures.
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
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments.
CoRR, 2021

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization.
IEEE Access, 2021

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.
Proceedings of the 21st Eurographics Conference on Visualization, 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

A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
A Novel Indoor Positioning System for unprepared firefighting scenarios.
CoRR, 2020

A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting.
IEEE Access, 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

An embedded deep learning system for augmented reality in firefighting applications.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Distributed Non-Negative Tensor Train Decomposition.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Learning Spatial Relationships between Samples of Patent Image Shapes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Detection and Identification of Objects and Humans in Thermal Images.
CoRR, 2019


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