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Prabavathy Balasundaram
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2020 – today
- 2024
- [c13]Prabavathy Balasundaram, Karthikeyan Swaminathan, Oviasree Sampath, Pradeep Km:
Concept Detection and Caption Prediction of Radiology Images Using Convolutional Neural Networks. CLEF (Working Notes) 2024: 1508-1516 - [c12]Prabavathy Balasundaram, Karthikeyan Swaminathan, Oviasree Sampath, Pradeep Km:
Oppositional Thinking Analysis: Conspiracy Theories vs Critical Thinking Narratives. CLEF (Working Notes) 2024: 2521-2526 - 2023
- [c11]Prabavathy Balasundaram, G. Gnana Sai, Kishore N, Olirva M, Makesh Vaibhav A. G, Naren Srinivasan Murali, Parlapalli Sai Harshith:
Efficient Fusion Techniques for Result Diversification and Image Interestingness Tasks. CLEF (Working Notes) 2023: 1403-1414 - [c10]G. Gnana Sai, Aswath Venkatesh, Kishore N, Olirva M, Balaji V. A, Prabavathy Balasundaram:
Enhancing Hate Speech Detection in Sinhala and Gujarati: Leveraging BERT Models and Linguistic Constraints. FIRE (Working Notes) 2023: 435-444 - [c9]M. Krithik Sathya, K. H. Gopalakrishnan, Manickam PA, Prabavathy Balasundaram:
Sinhala and Gujarati Hate Speech Detection. FIRE (Working Notes) 2023: 521-531 - [c8]Ankitha Reddy A, Pranav Moorthi, Samyuktaa Sivakumar, Shwetha S, Prabavathy Balasundaram:
A Hybrid Approach To Stroke Detection In Swimming. MediaEval 2023 - 2022
- [c7]Lekshmi Kalinathan, Prabavathy Balasundaram, Yogesh Munees E, Siddharth S, Shrijith Mr, Shrikeshavinee Ramachandran, Shruti Sriram, Ramdhanush Venkatakrishnan:
A Fusion Approach for Web Search Result Diversification using Machine Learning Algorithms. CLEF (Working Notes) 2022: 1435-1442 - [c6]Sushaanth Srinivasan, Sharvesh Shankar, Nitheesh Kumar N, Sabarivasan Velayutham, Thejas N, Vikash Anand N, Lekshmi Kalinathan, Prabavathy Balasundaram:
Automated Classification of Lung Tuberculosis Using 3D Deep Convolutional Neural Networks. CLEF (Working Notes) 2022: 1572-1579 - [c5]Shreya Sriram, Madhuri Mahalingam, Sarah Aymen Naseer, Shajith Hameed, Rahul Rajagopalan, Sai Shashaank R, Lekshmi Kalinathan, Prabavathy Balasundaram:
Ensembled Approach for Web Search Result Diversification Using Neural Networks. CLEF (Working Notes) 2022: 1580-1589 - [c4]Pravinkrishnan K, Naren Sivakumar, Ainsely Jebaraj, C. Padma Pooja, Supraja Sridhar, Prabavathy Balasundaram, Lekshmi Kalinathan:
Classification of Plant Species Using AlexNet Architecture. CLEF (Working Notes) 2022: 2087-2093 - 2021
- [c3]Lekshmi Kalinathan, Prabavathy Balasundaram, Pradeep Ganesh, Sandeep Sekhar Bathala, Rahul Kumar Mukesh:
Automatic Snake Classification using Deep Learning Algorithm. CLEF (Working Notes) 2021: 1587-1596 - [c2]Prabavathy Balasundaram, Sriram Muralidharan, Sruthi Bijoy:
An Improved Content Based Image Retrieval System using Unsupervised Deep Neural Network and Locality Sensitive Hashing. ICCCSP 2021: 1-7
2010 – 2019
- 2019
- [j4]Prabavathy Balasundaram, Chitra Babu
, Pradeep Rengaswamy:
A distributed load balancing algorithm for deduplicated storage. Turkish J. Electr. Eng. Comput. Sci. 27(5): 3994-4008 (2019) - [c1]Himanshu Singhal
, Harish Ravi, Sathiya Narayan Chakravarthy, Prabavathy Balasundaram, Chitra Babu
:
EPMS: A Framework for Large-Scale Patient Matching. ICTAI 2019: 1096-1101 - 2018
- [j3]Prabavathy Balasundaram, Chitra Babu
:
Concurrency control algorithms for deduplicated cloud storage. Turkish J. Electr. Eng. Comput. Sci. 26(2): 936-947 (2018) - 2017
- [j2]Prabavathy Balasundaram, Chitra Babu
, Subha Devi M:
Improving Read Throughput of Deduplicated Cloud Storage using Frequent Pattern-Based Prefetching Technique. Comput. J. 60(3): 444-456 (2017) - 2012
- [j1]Prabavathy Balasundaram, Amrita Ramadoss, Manju Muthaiya:
IE browser compatibility for web applications. SIGWEB Newsl. 2012(Autumn): 5:1-5:15 (2012)
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