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Journal Articles
- 2023
[j1]So-Ra Han
, Mingyu Park, Sai Kosaraju, Jeungmin Lee, Hyun Lee, Jun Hyuck Lee, Tae-Jin Oh, Mingon Kang:
Evidential deep learning for trustworthy prediction of enzyme commission number. Briefings Bioinform. 25(1) (2023)
Conference and Workshop Papers
- 2024
- [c7]Megha Gupta, Shripal Shah, Mohammad Masum, Sai Chandra Kosaraju:
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency. CCWC 2024: 521-526 - 2020
- [c6]Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang:
PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data. PSB 2020: 355-366 - 2019
- [c5]Nelson Zange Tsaku, Sai Kosaraju:
Boosting Recommendation Systems through an Offline Machine Learning Evaluation Approach. ACM Southeast Regional Conference 2019: 182-185 - [c4]Sai Kosaraju, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang:
Table of Contents Recognition in OCR Documents using Image-based Machine Learning. ACM Southeast Regional Conference 2019: 186-189 - [c3]Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang:
Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. BIBM 2019: 973-977 - [c2]Sai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang:
DoT-Net: Document Layout Classification Using Texture-Based CNN. ICDAR 2019: 1029-1034 - 2018
- [c1]Mohammad Masum, Sai Kosaraju, Tanju Bayramoglu, Girish Modgil, Mingon Kang:
Automatic knowledge extraction from OCR documents using hierarchical document analysis. RACS 2018: 189-194
Coauthor Index
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