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The applicability domain refers to the range of data for which the prediction of the predictive model is expected to be reliable and accurate and using a model outside its applicability domain can lead to incorrect results. The ability to define the
Externí odkaz:
http://arxiv.org/abs/2411.00920
Akademický článek
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Autor:
Bharath Kumar Raghuraman
Publikováno v:
Analytical Science Advances. 4:23-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f49421532730f018b88179cdc542ff
https://doi.org/10.1002/ansa.202200047
https://doi.org/10.1002/ansa.202200047
Autor:
Subbaih, Kalpa, Bolla, Bharath Kumar
The surge of e-commerce reviews has presented a challenge in manually annotating the vast volume of reviews to comprehend their underlying aspects and sentiments. This research focused on leveraging weakly supervised learning to tackle aspect categor
Externí odkaz:
http://arxiv.org/abs/2312.15526
Autor:
Margam, Bharath Kumar1, Chakraborty, Nihar Ranjan1 nrchakraborty@gmail.com
Publikováno v:
Electronic Journal of Plant Breeding. Sep2024, Vol. 15 Issue 3, p782-793. 12p.
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-28 (2024)
Abstract In India, there is an urgent need to meet the food production due to the country’s rapidly expanding population. There is a downturn in the farming sector and the farmers are shifting to other firms due to insufficient output in the sector
Externí odkaz:
https://doaj.org/article/ffe001d381ca4348861569c89e87aa03
Publikováno v:
Beni-Suef University Journal of Basic and Applied Sciences, Vol 13, Iss 1, Pp 1-19 (2024)
Abstract Background The global landscape of public health faces significant challenges attributed to the prevalence of cancer and the emergence of treatment resistance. This study addresses these challenges by focusing on Cyclin-dependent Kinase 2 (C
Externí odkaz:
https://doaj.org/article/7134cd92c9f44ffbae5c492d81f75a0b
Time series forecasting has seen many methods attempted over the past few decades, including traditional technical analysis, algorithmic statistical models, and more recent machine learning and artificial intelligence approaches. Recently, neural net
Externí odkaz:
http://arxiv.org/abs/2306.13931
The present study aimed to address the issue of imbalanced data in classification tasks and evaluated the suitability of SMOTE, ADASYN, and GAN techniques in generating synthetic data to address the class imbalance and improve the performance of clas
Externí odkaz:
http://arxiv.org/abs/2306.13929
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Breast cancer remains a leading cause of mortality among women worldwide, with drug resistance driven by transcription factors and mutations posing significant challenges. To address this, we present ResisenseNet, a predictive model for drug
Externí odkaz:
https://doaj.org/article/29576b4f395840f3b8fc9ad5e03e713a