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Comparative study of classifiers for leaf classification and extraction of medicinal properties

Published in 2021 Asian Conference on Innovation in Technology (ASIANCON), 2021

This paper investigates the relative efficiencies of K-Nearest Neighbors, Support Vector Machine, and Convolutional Neural Network classifiers in leaf classification.

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Paraphrase Detection in a Low Resourced Language: Kannada

Published in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023

This paper addresses paraphrase detection in Kannada, a low-resourced South-Indian language, finding that a decision tree classifier performs best, making it ideal for implementing a plagiarism detection system for Kannada documents.

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Paraphrase Generation and Deep Learning Models for Paraphrase Detection in a Low-Resourced Language: Kannada

Published in International Conference on Advances in Data-driven Computing and Intelligent Systems, 2023

This paper emphasizes the importance of advancing NLP research in Kannada, a complex South-Indian Dravidian language, highlighting that paraphrase generation can simplify concepts, enhance language comprehension, and improve translation accuracy.

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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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