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Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
This survey presents a comprehensive overview of natural language interfaces for tabular data querying and visualization, which allow users to interact with data using natural language queries.
Predicting Three Types of Freezing of Gait Events Using Deep Learning Models
Freezing of gait is a Parkinson's Disease symptom that episodically inflicts a patient with the inability to step or turn while walking.
A Machine Learning Approach to Detect Dehydration in Afghan Children
Child dehydration is a significant health concern, especially among children under 5 years of age who are more susceptible to diarrhea and vomiting.
Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification
Experimental results show that the proposed feature ranking method is able to attain a higher accuracy (96. 6\% and 98. 6\% using SVM and NN, respectively) for classifying different stages of ccRCC with a reduced feature set as compared to existing work.
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning
The term personality may be expressed in terms of the individual differences in characteristics pattern of thinking, feeling, and behavior.
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks
This method with two countries, Spain and Brazil, is seen to achieve the best performance amongst all the combinations as well as compared to other traditional regression models.
