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Veena Mayya
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2020 – today
- 2024
- [j6]Veena Mayya, Christian King, Giang T. Vu, Varadraj Prabhu Gurupur:
Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures. IEEE Access 12: 153564-153579 (2024) - [j5]Veena K. M., Venkat Tummala, Yuva Sahith Varma Sangaraju, Marreddy Sai Vineel Reddy, Preetham Kumar, Veena Mayya, Uma Kulkarni, Sulatha V. Bhandary, Shailaja S.:
FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images. SoftwareX 26: 101646 (2024) - 2023
- [j4]Veena Mayya, S. Sowmya Kamath, Uma Kulkarni, Divyalakshmi Kaiyoor Surya, U. Rajendra Acharya:
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images. Appl. Intell. 53(2): 1548-1566 (2023) - [j3]Veena Mayya, Karthik K, Krishnananda Prabhu Karadka, S. Sowmya Kamath:
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data. Int. J. Medical Eng. Informatics 15(6): 501-515 (2023) - [c8]Souhrid Nandi, Apoorva Anurag, Veena Mayya, Jayakumar Jeganathan:
Real-Time Web Application to Classify Diabetic Foot Ulcer. ICCCNT 2023: 1-7 - [c7]Supreetha R., Sowmya Kamath S., Veena Mayya:
Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography. ICCCNT 2023: 1-7 - 2022
- [j2]B. C. Srimedha, Rashmi Naveen Raj, Veena Mayya:
A Comprehensive Machine Learning Based Pipeline for an Accurate Early Prediction of Sepsis in ICU. IEEE Access 10: 105120-105132 (2022) - 2021
- [j1]Veena Mayya, Sowmya Kamath S., Gokul S. Krishnan, Tushaar Gangavarapu:
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. Future Gener. Comput. Syst. 118: 374-391 (2021) - [c6]Veena Mayya, Karthik K, Kamath S. Sowmya, Krishnananda Karadka, Jayakumar Jeganathan:
COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data. HEALTHINF 2021: 659-666 - [c5]Veena Mayya, S. Sowmya Kamath, Vijayan Sugumaran:
$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes. CIBCB 2021: 1-7 - [c4]Sowmya Kamath S., Veena Mayya, Priyadarshini R:
A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data. ICCCNT 2021: 1-5 - [c3]Yuvraj Dalia, Adikar Bharath, Veena Mayya, S. Sowmya Kamath:
DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis. ICCCSP 2021: 250-255
2010 – 2019
- 2017
- [c2]Veena Mayya, Aparna Nayak:
Parallel Implementation of Rotation Visual Cryptography on GPU using CUDA. ICAIP 2017: 62-65 - 2016
- [c1]Veena Mayya, Radhika M. Pai, M. M. Manohara Pai:
Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences. ICACCI 2016: 699-703
Coauthor Index
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last updated on 2024-11-08 21:31 CET by the dblp team
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