Zobrazeno 1 - 10 of 47 pro vyhledávání: '"Gaurav Nanda"'
1
Akademický článek
Probabilistic Ensemble Framework for Injury Narrative Classification
Autor: Srushti Vichare, Gaurav Nanda, Raji Sundararajan
Publikováno v: AI, Vol 5, Iss 3, Pp 1684-1694 (2024)
In this research, we analyzed narratives from the National Electronic Injury Surveillance System (NEISS) dataset to predict the top two injury codes using a comparative study of ensemble machine learning (ML) models. Four ensemble models were evaluat
Externí odkaz: https://doaj.org/article/44fc7cf5c51243918627890afde1379b
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2
Akademický článek
Comparing human text classification performance and explainability with large language and machine learning models using eye-tracking
Autor: Jeevithashree Divya Venkatesh, Aparajita Jaiswal, Gaurav Nanda
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract To understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine learning (ML) model and l
Externí odkaz: https://doaj.org/article/e2e41c0d9a5643b2837a440b7052d506
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3
Akademický článek
Evaluating the Performance of Topic Modeling Techniques with Human Validation to Support Qualitative Analysis
Autor: Julian D. Romero, Miguel A. Feijoo-Garcia, Gaurav Nanda, Brittany Newell, Alejandra J. Magana
Publikováno v: Big Data and Cognitive Computing, Vol 8, Iss 10, p 132 (2024)
Examining the effectiveness of machine learning techniques in analyzing engineering students’ decision-making processes through topic modeling during simulation-based design tasks is crucial for advancing educational methods and tools. Thus, this s
Externí odkaz: https://doaj.org/article/b9db010e83e24f72a7442568d4293f27
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4
Akademický článek
Evaluating the Coverage and Depth of Latent Dirichlet Allocation Topic Model in Comparison with Human Coding of Qualitative Data: The Case of Education Research
Autor: Gaurav Nanda, Aparajita Jaiswal, Hugo Castellanos, Yuzhe Zhou, Alex Choi, Alejandra J. Magana
Publikováno v: Machine Learning and Knowledge Extraction, Vol 5, Iss 2, Pp 473-490 (2023)
Fields in the social sciences, such as education research, have started to expand the use of computer-based research methods to supplement traditional research approaches. Natural language processing techniques, such as topic modeling, may support qu
Externí odkaz: https://doaj.org/article/4d7d58dee34d4629ad733e3b6c93f68b
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6
Application of a Machine Learning–Based Decision Support Tool to Improve an Injury Surveillance System Workflow
Autor: Jesani, Catchpoole, Gaurav, Nanda, Kirsten, Vallmuur, Goshad, Nand, Mark, Lehto
Publikováno v: Applied Clinical Informatics. 13:700-710
Background Emergency department (ED)-based injury surveillance systems across many countries face resourcing challenges related to manual validation and coding of data. Objective This study describes the evaluation of a machine learning (ML)-based de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8893cb6f95431b9d97a9ac64d27245d
https://doi.org/10.1055/a-1863-7176
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8
Attribute-Sentiment-Guided Summarization of User Opinions From Online Reviews
Autor: Yi Han, Gaurav Nanda, Mohsen Moghaddam
Publikováno v: Journal of Mechanical Design. 145
Eliciting informative user opinions from online reviews is a key success factor for innovative product design and development. The unstructured, noisy, and verbose nature of user reviews, however, often complicate large-scale need finding in a format
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f177d18b798b8133879e082608a5ca0f
https://doi.org/10.1115/1.4055736
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