Study on Extrinsic Text Plagiarism Detection Techniques and Tools. D Gupta Journal of Engineering Science & Technology Review 9 (5), 2016 | 94 | 2016 |
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis M Venugopalan, D Gupta Knowledge-based systems 246, 108668, 2022 | 79 | 2022 |
Investigation of nutritional status of children based on machine learning techniques using Indian demographic and health survey data S Khare, S Kavyashree, D Gupta, A Jyotishi Procedia computer science 115, 338-349, 2017 | 79 | 2017 |
Exploring sentiment analysis on twitter data M Venugopalan, D Gupta 2015 eighth international conference on contemporary computing (IC3), 241-247, 2015 | 77 | 2015 |
A method to predict diagnostic codes for chronic diseases using machine learning techniques D Gupta, S Khare, A Aggarwal 2016 International Conference on Computing, Communication and Automation …, 2016 | 76 | 2016 |
Enhanced speech emotion detection using deep neural networks S Lalitha, S Tripathi, D Gupta International Journal of Speech Technology 22, 497-510, 2019 | 67 | 2019 |
Time series analysis of air pollution in Bengaluru using ARIMA model MSK Abhilash, A Thakur, D Gupta, B Sreevidya Ambient Communications and Computer Systems: RACCCS 2017, 413-426, 2018 | 63 | 2018 |
Colon cancer prediction on histological images using deep learning features and Bayesian optimized SVM T Babu, T Singh, D Gupta, S Hameed Journal of Intelligent & Fuzzy Systems 41 (5), 5275-5286, 2021 | 55 | 2021 |
Using Natural Language Processing Techniques and Fuzzy-Semantic Similarity for Automatic External Plagiarism Detection D Gupta, V k., CK Singh. Third International Conference on Advances in Computing, Communications and …, 2014 | 55 | 2014 |
Identification of divergence for English to Hindi EBMT D Gupta, N Chatterjee Proceedings of Machine Translation Summit IX: Papers, 2003 | 55 | 2003 |
Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges K Vani, D Gupta Information Processing & Management 54 (3), 408-432, 2018 | 53 | 2018 |
Detection of idea plagiarism using syntax–semantic concept extractions with genetic algorithm K Vani, D Gupta Expert Systems with Applications 73, 11-26, 2017 | 52 | 2017 |
Association rule analysis in cardiovascular disease S Khare, D Gupta 2016 second international conference on cognitive computing and information …, 2016 | 49 | 2016 |
Using K-means Cluster based Techniques in External Plagiarism Detection V K, D Gupta International Conference on Contemporary Computing and Informatics, 1268-1273, 2014 | 46* | 2014 |
Morpho-syntactic information for automatic error analysis of statistical machine translation output M Popović, A de Gispert, D Gupta, P Lambert, H Ney, JB Mariño, ... Proceedings on the Workshop on Statistical Machine Translation, 1-6, 2006 | 44 | 2006 |
Recognizing named entities in agriculture documents using LDA based topic modelling techniques V Gangadharan, D Gupta Procedia Computer Science 171, 1337-1345, 2020 | 40 | 2020 |
Dementia detection from speech using machine learning and deep learning architectures MR Kumar, S Vekkot, S Lalitha, D Gupta, VJ Govindraj, K Shaukat, ... Sensors 22 (23), 9311, 2022 | 32 | 2022 |
Text plagiarism classification using syntax based linguistic features K Vani, D Gupta Expert Systems with Applications 88, 448-464, 2017 | 31 | 2017 |
Investigating the impact of combined similarity metrics and POS tagging in extrinsic text plagiarism detection system K Vani, D Gupta 2015 international conference on advances in computing, communications and …, 2015 | 31 | 2015 |
Exploration of Machine Learning Techniques for Cardiovascular Disease V Dominic, D Gupta, S Khare Applied Medical Informatics 36 (1), 23-32, 2015 | 31* | 2015 |