26 citations · 58 across the 13 of their papers we have counts for
4 papers · 1 filter
Context-NER : Contextual Phrase Generation at Scale
Himanshu Gupta, Shreyas Verma, Santosh Mashetty +1
Named Entity Recognition (NER) has seen significant progress in recent years, with numerous state-of-the-art (SOTA) models achieving high performance. However, very few studies hav…
Prediction of Students performance with Artificial Neural Network using Demographic Traits
Adeniyi Jide Kehinde, Abidemi Emmanuel Adeniyi, Roseline Oluwaseun Ogundokun +2
Many researchers have studied student academic performance in supervised and unsupervised learning using numerous data mining techniques. Neural networks often need a greater colle…
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models
Himanshu Gupta, Tanmay G. Kulkarni, Lov Kumar +2
Code Smell, similar to a bad smell, is a surface indication of something tainted but in terms of software writing practices. This metric is an indication of a deeper problem lies w…
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar +1
A code smell is a surface indicator of an inherent problem in the system, most often due to deviation from standard coding practices on the developers part during the development p…