Venkataramana Gadhamshetty

According to our database1, Venkataramana Gadhamshetty authored at least 16 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery.
CoRR, 2024

2023
Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

BiofilmScanner: A Computational Intelligence Approach to Obtain Bacterial Cell Morphological Attributes from Biofilm Image.
CoRR, 2023

Machine Learning-Assisted Optical Detection of Multilayer Hexagonal Boron Nitride for Enhanced Characterization and Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer in Microbial Image Analysis: A Comparative Exploration of TransUNet, UNet, and DoubleUNet for SEM Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Computational methods for biofouling and corrosion-resistant graphene nanocomposites. A transdisciplinary approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

NLPADADE: Leveraging Natural Language Processing for Automated Detection of Adverse Drug Effects.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Fine-tuning a pre-trained Transformers-based model for gene name entity recognition in biomedical text using a customized dataset: case of Desulfovibrio vulgaris Hildenborough.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Semantic Image Segmentation Using Scant Pixel Annotations.
Mach. Learn. Knowl. Extr., 2022

Using BASIN-ML for Machine Learning-Based Statistical Analysis and Reporting for Biofilm Datasets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Leveraging Weak annotations for Deep learning tasks on Biofilm Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Automatic Extension of Medical Subject Headings (MeSH) Thesaurus to Emerging Research.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

GenNER - A highly scalable and optimal NER method for text-based gene and protein recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021


  Loading...