| AI in healthcare: time-series forecasting using statistical, neural, and ensemble architectures S Kaushik, A Choudhury, PK Sheron, N Dasgupta, S Natarajan, LA Pickett, ... Frontiers in big data 3, 4, 2020 | 149 | 2020 |
| Practical big data analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R N Dasgupta Packt Publishing Ltd, 2018 | 32 | 2018 |
| Ensemble of multi-headed machine learning architectures for time-series forecasting of healthcare expenditures S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, V Dutt Applications of Machine Learning, 199-216, 2020 | 23 | 2020 |
| Using LSTMs for predicting patient's expenditure on medications S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, V Dutt 2017 International Conference on Machine Learning and Data Science (MLDS …, 2017 | 19 | 2017 |
| Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India N Dasgupta Advances in Space Research 70 (4), 863-879, 2022 | 15 | 2022 |
| Using daily nighttime lights to monitor spatiotemporal patterns of human lifestyle under covid-19: The case of saudi arabia M Alahmadi, S Mansour, N Dasgupta, A Abulibdeh, PM Atkinson, ... Remote Sensing 13 (22), 4633, 2021 | 12 | 2021 |
| Evaluating frequent-set mining approaches in machine-learning problems with several attributes: a case study in healthcare S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, V Dutt Machine Learning and Data Mining in Pattern Recognition: 14th International …, 2018 | 11 | 2018 |
| Comparative Analysis of Features Selection Techniques for Classification in Healthcare. S Kaushik, A Choudhury, AK Jatav, N Dasgupta, S Natarajan, LA Pickett, ... MLDM (2), 458-472, 2019 | 7 | 2019 |
| AI in healthcare: time-series forecasting using statistical, neural, and ensemble architectures. Front Big Data 3: 4 S Kaushik, A Choudhury, PK Sheron, N Dasgupta, S Natarajan, LA Pickett, ... | 5 | 2020 |
| Evaluating single-and multi-headed neural architectures for time-series forecasting of healthcare expenditures S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, D Bisht Computational Intelligence Theoretical Advances and Advanced Applications …, 2020 | 4 | 2020 |
| Using nighttime lights data to assess the resumption of religious and socioeconomic activities post-COVID-19 M Alahmadi, S Mansour, N Dasgupta, DJ Martin Remote Sensing 15 (4), 1064, 2023 | 3 | 2023 |
| A Machine Learning Approach with Night Lights to Predict the Financial Impact of COVID-19 in India N Dasgupta Available at SSRN 3754405, 2020 | 1 | 2020 |
| Evaluating Auto-encoder and Principal Component Analysis for Feature Engineering in Electronic Health Records S Kaushik, A Choudhury, N Dasgupta, S Natarajan, L Pickett, V Dutt ITISE 2019. Proceedings of papers. Vol 2, 2019 | 1 | 2019 |
| A study of Statistical and Predictive Analysis of US Pain Medications S Kaushik, A Choudhury, N Dasgupta, L Pickett, V Dutt International Conference on Machine-Learning and Data Science, IEEE Conference, 2017 | 1 | 2017 |
| Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency A Devi, S Uttrani, A Singla, S Jha, N Dasgupta, S Natarajan, RS Punekar, ... | | |
| Discovering Features using Apriori Algorithm in Pharma: A Case Study Involving Pain Medications Apriori Algorithm in Pharma S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, V Dutt | | |
| Find hidden patterns in your RWE datasets using Machine Learning and Open-Source tools S Kaushik, A Choudhury, N Dasgupta, S Natarajan, LA Pickett, V Dutt | | |
