Thiruvarangan Ramaraj

According to our database, Thiruvarangan Ramaraj authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning.

Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda

Proceedings of the International Conference on Machine Learning and Applications, 2025

Video Label Refinement for Temporal Localization.

Jennifer Piane, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Enhancing Pulmonary Nodule Localization Based on Latent Representations.

Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

Scalable Alignment-Free Phylogenomics Using Normalized Compression Distance (NCD): A Case Study in Tomato (Solanum Lycopersicum) Whole Genomes.

Hongzhi Hu, Thiruvarangan Ramaraj, John D. Rogers

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data.

Sashank Makanaboyina, Zonglin Yang, Rahul Vijay, Thiruvarangan Ramaraj

Proceedings of the International Conference on Machine Learning and Applications, 2024

Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy.

Colin Buenvenida, Brandon Kong, Shane Jung, Kaiwen Kam, Jacob D. Furst, Thiruvarangan Ramaraj

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning.

Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Development of an ontology for biofilms.

Thiruvarangan Ramaraj, Bo Wen Liu, Britney Gibbs, Azalea Mendoza, David L. Millman, Brendan Mumey, Matthew Fields, Callum Bell

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Genotype-to-Phenotype Associations with Frequented Region Variants.

Indika Kahanda, Buwani Manuweera, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary, Joann Mudge

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification.

Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Lung Nodule Malignancy Subtype Discovery with Semantic Learning.

Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2019

Pangenome-Wide Association Studies with Frequented Regions.

Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Poster: Pangenome-Wide Association Studies with Frequented Regions.

Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2017

Exploring Frequented Regions in Pan-Genomic Graphs.

Alan M. Cleary, Indika Kahanda, Brendan Mumey, Joann Mudge, Thiruvarangan Ramaraj

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017