| An extensive experimental survey of regression methods M Fernández-Delgadoa, MS Sirsat, E Cernadas, S Alawadi, S Barro, ... Neural Networks, 2018 | 174 | 2018 |
| Machine Learning for Brain Stroke: A Review MS Sirsat, E Fermé, J Câmara Journal of Stroke and Cerebrovascular Diseases 29 (10), 2020 | 74 | 2020 |
| Classification of agricultural soil parameters in India MS Sirsat, E Cernadas, M Fernández-Delgado, R Khan Computers and Electronics in Agriculture 135, 269–279, 2017 | 73 | 2017 |
| Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods MS Sirsat, E Cernadas, M Fernández-Delgado, S Barro Computers and Electronics in Agriculture 154, 120-133, 2018 | 52 | 2018 |
| A validation of the DeLone and McLean model on the educational information system of the Maharashtra State (India) SS Sirsat, MS Sirsat International Journal of Education and Learning Systems 1, 2016 | 41 | 2016 |
| Machine Learning predictive model of grapevine yield based on agroclimatic patterns MS Sirsat, J Mendes-Moreira, C Ferreira, M Cunha Engineering in Agriculture, Environment and Food 12 (4), 443-450, 2019 | 23 | 2019 |
| Analysis of Research Data using MapReduce Word Count Algorithm M Sahane, S Sirsat, R Khan Internl. Journal of Advanced Research in Computer and Commn. Engg 4, 2015 | 11 | 2015 |
| Prediction of Primary Pupil Enrollment in Government School Using Data Mining Forecasting Technique M Sahane, S Sirsat, R Khan, B Aglave International Journal of Advanced Research in Computer Science and Software …, 2014 | 6 | 2014 |
| AI-Rehab: A Framework for AI Driven Neurorehabilitation Training - The Profiling Challenge Y Almeida, MS Sirsat, S Bermúdez i Badia, E Fermé Proceedings of the 13th International Joint Conference on Biomedical …, 2020 | 4* | 2020 |
| Genomic Prediction of Wheat Grain Yield Using Machine Learning MS Sirsat, PR Oblessuc, RS Ramiro Agriculture 12 (9), 2022 | 1 | 2022 |
| Suplementary material of paper “Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods” MS Sirsat, E Cernadas, M Fernández-Delgado, S Barro Computers and Electronics in Agriculture 154, 2018 | | 2018 |
E. CernadasCITIUS, University of Santiago de CompostelaVerified email at usc.es
