| A computationally efficient evolutionary algorithm for real-parameter optimization K Deb, A Anand, D Joshi Evolutionary computation 10 (4), 371-395, 2002 | 754 | 2002 |
| Drug-drug interaction extraction from biomedical texts using long short-term memory network SK Sahu, A Anand Journal of biomedical informatics 86, 15-24, 2018 | 199 | 2018 |
| An approach for classification of highly imbalanced data using weighting and undersampling A Anand, G Pugalenthi, GB Fogel, PN Suganthan Amino acids 39, 1385-1391, 2010 | 186 | 2010 |
| Real-coded evolutionary algorithms with parent-centric recombination K Deb, D Joshi, A Anand Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 152 | 2002 |
| Relation extraction from clinical texts using domain invariant convolutional neural network SK Sahu, A Anand, K Oruganty, M Gattu arXiv preprint arXiv:1606.09370, 2016 | 121 | 2016 |
| Evaluating distributed word representations for capturing semantics of biomedical concepts TH Muneeb, S Sahu, A Anand Proceedings of BioNLP 15, 158-163, 2015 | 115 | 2015 |
| Recurrent neural network models for disease name recognition using domain invariant features SK Sahu, A Anand arXiv preprint arXiv:1606.09371, 2016 | 91 | 2016 |
| Predicting protein structural class by SVM with class-wise optimized features and decision probabilities A Anand, G Pugalenthi, PN Suganthan Journal of theoretical biology 253 (2), 375-380, 2008 | 73 | 2008 |
| Disruption of the murine PIASx gene results in reduced testis weight H Santti, L Mikkonen, A Anand, S Hirvonen-Santti, J Toppari, ... Journal of molecular endocrinology 34 (3), 645-654, 2005 | 63 | 2005 |
| Biomedical event trigger identification using bidirectional recurrent neural network based models PVSS Rahul, SK Sahu, A Anand arXiv preprint arXiv:1705.09516, 2017 | 44 | 2017 |
| Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text D Raj, S Sahu, A Anand Proceedings of the 21st conference on computational natural language …, 2017 | 43 | 2017 |
| Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates A Anand, PN Suganthan Journal of theoretical biology 259 (3), 533-540, 2009 | 43 | 2009 |
| SpliceVec: distributed feature representations for splice junction prediction A Dutta, T Dubey, KK Singh, A Anand Computational biology and chemistry 74, 434-441, 2018 | 31 | 2018 |
| Predicting online doctor ratings from user reviews using convolutional neural networks RD Sharma, S Tripathi, SK Sahu, S Mittal, A Anand International Journal of Machine Learning and Computing 6 (2), 149, 2016 | 31 | 2016 |
| Feature selection using rough sets M Banerjee, S Mitra, A Anand Multi-Objective Machine Learning, 3-20, 2006 | 25 | 2006 |
| Using the Chou’s 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks A Dutta, A Dalmia, R Athul, KK Singh, A Anand Computers in Biology and Medicine 116, 103558, 2020 | 17 | 2020 |
| Unsupervised representation learning of DNA sequences V Agarwal, N Reddy, A Anand arXiv preprint arXiv:1906.03087, 2019 | 11 | 2019 |
| What matters in a transferable neural network model for relation classification in the biomedical domain? SK Sahu, A Anand Artificial Intelligence in Medicine 87, 60-66, 2018 | 10 | 2018 |
| ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora S Basu, S Chakraborty, A Hassan, S Siddique, A Anand Proceedings of the first workshop on scholarly document processing, 127-137, 2020 | 9 | 2020 |
| Unified neural architecture for drug, disease, and clinical entity recognition SK Sahu, A Anand Deep Learning Techniques for Biomedical and Health Informatics, 1-19, 2020 | 9 | 2020 |
Sunil Kumar SahuSr. Applied Scientist, Inception, G42Verified email at inceptioniai.org
