M Paul, and A Anand . "A New Family of Similarity Measures for Scoring Confidence of Protein Interactions using Gene Ontology." IEEE/ACM Transactions on Computational Biology and Bioinformatics (Accepted: May, 2021; In Press).
Publisher's site (Early Access)
A Dutta, K K Singh, and A Anand . "SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks." Journal of Bioinformatics and Computational Biology (Accepted: May, 2021; In Press).
M Paul, and A Anand . "Impact of low-confidence interactions on computational identification of protein complexes." Journal of Bioinformatics and Computational Biology (In Press).
A Dutta, A Dalmia, R. Athul, K K Singh, and A Anand . "Using the Chou’s 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks." Computers in Biology and Medicine (2019).
S Pyne, A Anand. "Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory".
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, In press.
Publisher's sitePreprintCode & data
S Pyne, A Anand. "Rapid Reconstruction of Time-varying Gene Regulatory Networks".
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, In press.
Publisher's sitePreprintCode & data
S K Sahu, A Anand. Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network. 2018. Vol 86: 15-24.
S K Sahu, A Anand. What matters in a transferable neural network model for relation classification in the biomedical domain? Artificial Intelligence in Medicine, 2018, Vol 87: 60-66. Publisher's site
A Dutta, T Dubey, K K Singh, A Anand. SpliceVec: Distributed feature representations for splice junction prediction. Computational Biology and Chemistry, 2018, Vol 74: 434-441.
M Paul, R Anand, A Anand. Detection of Highly Overlapping Communities in Complex Networks. Journal of Medical Imaging and Health Informatics, 2015, Vol 5(5), 1099-1103.
A Anand, G Pugalenthi, G B Fogel, And P N Suganthan. An approach for classification of highly imbalanced data using weighting and undersampling. Amino Acids, 2010, Vol 39(5), 1385-1391
A Anand, G Pugalenthi, G B Fogel, and P N Suganthan. Identification and analysis of transcription factor family-specific features derived from DNA and protein information. Pattern Recognition Letters, 2010, Vol 31(14), 2097-2102
A Anand, P N Suganthan. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates. Journal of Theoretical Biology, 2009, Vol 259(3), 533-540
A Anand, G Pugalenthi, P N Suganthan. Predicting protein structural class by SVM with class-wise optimized features and decision probabilities. Journal of Theoretical Biology, 2008, Vol 253(2), 375-380
H Santti H, L Mikkonen, A Anand; et al. Disruption of the murine PIASx gene results in reduced testis weight. Journal of Molecular Endocrinology, 2005, Vol 34(3), 645-654
K Deb, A Anand, D. Joshi. A computationally efficient evolutionary algorithm for real-parameter optimization. Evolutionary Computation, 2002, Vol 10(4), 371-395
V Goel, M Chandak, A Anand, and P Guha. 2021. IQ-VQA: Intelligent Visual Question. in Proceedings of International Conference on Pattern Recognition Workshop 2020-2021, Italy. [Publisher Site]
A Mishra, A Anand, and P Guha. 2020-2021. Multi-stage Attention based Visual Question Answering. in Proceedings of International Conference on Pattern Recognition (ICPR) 2021, Italy. [Publisher Site]
M Paul, A Anand. "A New Family of Similarity Measures for Scoring Confidence of Protein Interactions using Gene Ontology". Asia Pacific Bioinformatics Conference (APBC), Taiwan. 2021.
S Basu, S Chakraborty, A Hassan, S Siddique, A Anand. ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. In Proceedings of EMNLP Workshop on Scholarly Document Processing 2020. [Publisher Site]
A Mishra, A Anand, and P Guha. 2020. CQ-VQA: Visual Question Answering on Categorized Questions. in Proceedings of International Joint Conference on Neural Networks 2020, Glasgow, UK. (WCCI - IJCNN 2020). [PDF]
A Parekh, A Anand, and Amit Awekar. 2020. Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. In 7th ACM IKDD CoDS and 25th COMAD (CoDS COMAD 2020), January 5–7,2020, Hyderabad, India. [PDF]
M Paul, A Anand and S Pyne. Impact of the Continuous Evolution of Gene Ontology on Similarity Measures. Presented in Pattern Recognition and Machine Intelligence (PReMI) 2019, Tezpur, India.
Published in Lecture Notes in Computer Science, vol. 11942, pp. 122-129, Springer.
Abhishek, A P Azad, B Ganesan, A Anand, A Awekar. Collective Learning From Diverse Datasets for Entity Typing in the Wild. 2nd International Workshop on Entity Retrieval (EYRE), CIKM 2019. [ PDF ]
Abhishek, Sanya B Taneja, Garima Malik, Ashish Anand, Amit Awekar. Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. Accepted in AKBC 2019, USA. [ PDF]
V Agarwal, N Jayanth K Reddy, A Anand. Unsupervised Representation Learning for DNA sequences. In Proceedings of Workshop on Computational Biology, ICML 2019. [ PDF ]
V M Malhotra, A Anand}. Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests. 2019. ACE '19 Proceedings of the Twenty-First Australasian Computing Education Conference 2019.
A Dutta, T Dubey, K K Singh, A Anand. SpliceVec: distributed feature representations for splice junction prediction. Accepted in APBC 2018, Japan. [ PDF ]
D Raj, S K Sahu, A Anand. Learning local and global contexts using a convolutional recurrent network model for relation classication in biomedical text. Accepted in CoNLL 2017, Canada. [ PDF ]
Rahul, S K Sahu, A Anand. Biomedical Event Trigger Identification Using Recurrent Neural Network. In proceeding of ACL-BioNLP 2017, Canada. [ PDF ]
Abhishek, A Anand and A Awekar. Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. Accepted in EACL 2017, Spain (Long Paper). [ PDF ]
S K Sahu, A Anand, K Oruganty and M Gattu. Relation extraction from clinical texts using domain invariant convolutional neural network. Accepted in ACL BioNLP 2016, Germany. [ PDF ]
S K Sahu, A Anand. Recurrent neural network models for disease name recognition using domain
invariant features. Accepted in ACL 2016, Germany (Long) paper. [ PDF ] (Sunil acknowledges the travel grants from Google and Microsoft for presenting the paper in the conference.)
Muneeb TH, S K Sahu, A Anand. Evaluating distributed word representations for capturing semantics of biomedical concepts. Inproceedings of the ACL-BioNLP 2015 workshop, Beijing China. [ PDF ]
M Paul, R Anand, A Anand. Detection of Highly Overlapping Communities in Complex Networks. 5th International Conference on Computational Systems-Biology and Bioinformatics 2014, Singapore.
G Priyadarshini, A Anand. Inferring Disease Correlation from Healthcare Data, National Conference on Medical Informatics.2014. AIIMS, New Delhi
A Anand, N R Pal, P N Suganthan. Integration of Functional Information of Genes in Fuzzy Clustering of Short Time Series Gene Expression Data. In: Proceeding of IEEE World Congress on Computational Intelligence 2010, Barcelona, Spain
A Anand, G B Fogel, G Pugalenthi, P N Sunagnthan. Prediction of Transcription Factor Families Using DNA Sequence Features. In: Proceedings of Pattern Recognition in Bioinformatics 2008, Melbourne, Australia
A Anand, P N Suganthan, K Deb. A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data.In: IEEE Congress on Evolutionary Computation 2007, Vols 1-10, Pages: 297-304
A Anand, G B Fogel, E K Tang, P N Suganthan. Feature selection approach for quantitative prediction of transcriptional activities. Computational Intelligence and Bioinformatics and Computational Biology IEEE Symposium on, 2006.
K Deb, D Joshi, A Anand. Real-coded evolutionary algorithms with parent-centric recombination. In: Proceedings of the 2002 IEEE Congress on Evolutionary Computation, Hawaii
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. Publisher's site
Feature selection using Rough Set. M Banerjee, S Mitra, A Anand. Multiobjective machine lerarning (Eds Dr Yaochu Jin), Springer-Verlag 2006
Towards Genome-scale Disease Progression Modeling. Saptarshi Pyne, Alok R Kumar, Anand A. 17th International Conference on Bioinformatics (InCoB) 2018, New Delhi, India.
Multi-label classification with label clustering. Pranav Gupta, Anand A. 1st Indian workshop on Machine Learning, IIT Kanpur India.
A software architecture for de Novo induction of regulatory network from expression data. Ruegheimer F, Anand A, Schwikowski B. In: Proceedings of JOBIM 2011, Paris, France.
Inferring a latent regulation network for Bacillus subtilis using a kernel matrix completion approach. A Anand, S Drulhe, F Gwinner, F Ruegheimer, P Bochet, B Schwikowski. 11th International Conference on Systems Biology, ICSB, 2010, Edinburgh.