| Cd-hpf: New habitability score via data analytic modeling K Bora, S Saha, S Agrawal, M Safonova, S Routh, A Narasimhamurthy Astronomy and Computing 17, 129-143, 2016 | 59 | 2016 |
| Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets S Saha, S Basak, M Safonova, K Bora, S Agrawal, P Sarkar, J Murthy Astronomy and computing 23, 141-150, 2018 | 43 | 2018 |
| Habitability classification of exoplanets: a machine learning insight S Basak, A Mathur, AJ Theophilus, G Deshpande, J Murthy The European Physical Journal Special Topics 230, 2221-2251, 2021 | 20 | 2021 |
| Ceesa meets machine learning: A constant elasticity earth similarity approach to habitability and classification of exoplanets S Basak, S Saha, A Mathur, K Bora, S Makhija, M Safonova, S Agrawal Astronomy and Computing 30, 100335, 2020 | 17 | 2020 |
| ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy S Saha, S Agrawal, K Bora, S Routh, A Narasimhamurthy arXiv preprint arXiv:1504.07865, 2015 | 11 | 2015 |
| Quantifying the classification of exoplanets: in search for the right habitability metric M Safonova, A Mathur, S Basak, K Bora, S Agrawal The European Physical Journal Special Topics 230, 2207-2220, 2021 | 10 | 2021 |
| A new activation function for artificial neural net based habitability classification S Saha, A Mathur, K Bora, S Basak, S Agrawal 2018 international conference on advances in computing, communications and …, 2018 | 8 | 2018 |
| A comparative analysis of the cobb-douglas habitability score (cdhs) with the earth similarity index (esi) S Agrawal, S Basak, K Bora, J Murthy 2018 International Conference on Advances in Computing, Communications and …, 2018 | 5 | 2018 |
| SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification S Saha, A Mathur, K Bora, S Agrawal, S Basak arXiv preprint arXiv:1806.01844, 2018 | 4 | 2018 |
| A comparative analysis of the cobb-douglas habitability score (cdhs) with the earth similarity index (esi). arXiv S Agrawal, S Basak, S Saha, K Bora, J Murthy arXiv preprint arXiv:1804.11176, 2018 | 3 | 2018 |
| Machine Learning in Astronomy: a workman’s manual S Saha, K Bora, S Basak, S Agrawal, M Safonova, G Srinivasa, J Murthy, ... Bangalore, 2018 | 1 | 2018 |
| A Comparative Study in Classification Methods of Exoplanets: Machine Learning Exploration via Mining and Automatic Labeling of the Habitability Catalog S Agrawal, S Basak, S Saha, M Rosario-Franco, S Routh, K Bora, ... | 1 | 2015 |
| CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets SA S.Basaka, S.Saha, A.Mathur, K.Bora, S.Makhija, M.Safonova Journal of Astronomy and Computing 30, 2020 | | 2020 |
| Machine Learning Approaches for Supernovae Classification S Agrawal, K Bora, S Routh Handbook of Research on Applied Cybernetics and Systems Science, 207-219, 2017 | | 2017 |
| A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI) SAS Basak, S Saha, K Bora, J Murthy | | |
| Pros and Cons of Classification of Exoplanets: in Search for the Right Habitability Metric M Safonova, S Saha, S Basak, S Agrawal, M Kashyap, J Murthy, K Bora | | |
| Star Galaxy Separation using Adaboost and Asymmetric Adaboost S Basak, S Saha, K Bora, S Sarkar, S Agrawal | | |
Surbhi AgrawalRVITMVerified email at rvei.edu.in
