Aparajita Khan

According to our database, Aparajita Khan authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

Learning Regional Monsoon Patterns with a Multimodal Attention U-Net.

Swaib Ilias Mazumder, Manish Kumar, Aparajita Khan

CoRR, September, 2025

Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering.

Aparajita Khan, Pradipta Maji

IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance.

Ingrid Luo, Anna Graber-Naidich, Mengrui Zhang, Rakshit Kaushik, Grant M. Nieda, Tony Chen, Bo Gu, Eunji Choi, Victoria Y. Ding, Fatma Gunturkun, Mina Satoyoshi, Archana Bhat, Tae Yoon Lee, Chloe C. Su, Timothy John Ellis-Caleo, A. Solomon Henry, Manisha Desai, Leah Backhus, Natalie S. Lui, Ann N. Leung, Joel W. Neal, Allison W. Kurian, Curtis P. Langlotz, Heather Wakelee, Su-Ying Liang, Aparajita Khan, Summer S. Han

npj Digit. Medicine, 2025

2022

Multi-Manifold Optimization for Multi-View Subspace Clustering.

Aparajita Khan, Pradipta Maji

IEEE Trans. Neural Networks Learn. Syst., 2022

Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data.

Aparajita Khan, Pradipta Maji

IEEE Trans. Cybern., 2022

2021

Approximate Graph Laplacians for Multimodal Data Clustering.

Aparajita Khan, Pradipta Maji

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Low-Rank Joint Subspace Construction for Cancer Subtype Discovery.

Aparajita Khan, Pradipta Maji

IEEE ACM Trans. Comput. Biol. Bioinform., 2020