Ashish Anand
Ashish Anand
Professor of Computer Science, IIT Guwahati, India
Verified email at - Homepage
Cited by
Cited by
A computationally efficient evolutionary algorithm for real-parameter optimization
K Deb, A Anand, D Joshi
Evolutionary computation 10 (4), 371-395, 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
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
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
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
Evaluating distributed word representations for capturing semantics of biomedical concepts
TH Muneeb, S Sahu, A Anand
Proceedings of BioNLP 15, 158-163, 2015
Fine-grained entity type classification by jointly learning representations and label embeddings
A Anand, A Awekar
arXiv preprint arXiv:1702.06709, 2017
Recurrent neural network models for disease name recognition using domain invariant features
SK Sahu, A Anand
arXiv preprint arXiv:1606.09371, 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
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
Biomedical event trigger identification using bidirectional recurrent neural network based models
PVSS Rahul, SK Sahu, A Anand
arXiv preprint arXiv:1705.09516, 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
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
SpliceVec: distributed feature representations for splice junction prediction
A Dutta, T Dubey, KK Singh, A Anand
Computational biology and chemistry 74, 434-441, 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
Feature selection using rough sets
M Banerjee, S Mitra, A Anand
Multi-objective machine learning, 3-20, 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
Unsupervised representation learning of DNA sequences
V Agarwal, N Reddy, A Anand
arXiv preprint arXiv:1906.03087, 2019
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
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
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