Ashish Anand

According to our database1, Ashish Anand authored at least 35 papers between 2002 and 2020.

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Bibliography

2020
Rapid Reconstruction of Time-Varying Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Impact of the Continuous Evolution of Gene Ontology on the Performance of Similarity Measures for Scoring Confidence of Protein Interactions.
SN Comput. Sci., 2020

IQ-VQA: Intelligent Visual Question Answering.
CoRR, 2020

Using the Chou's 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks.
Comput. Biol. Medicine, 2020

CQ-VQA: Visual Question Answering on Categorized Questions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Unsupervised Representation Learning of DNA Sequences.
CoRR, 2019

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage.
CoRR, 2019

Impact of the Continuous Evolution of Gene Ontology on Similarity Measures.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests.
Proceedings of the Twenty-First Australasian Computing Education Conference, 2019

2018
Drug-drug interaction extraction from biomedical texts using long short-term memory network.
J. Biomed. Informatics, 2018

A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing.
CoRR, 2018

SpliceVec: Distributed feature representations for splice junction prediction.
Comput. Biol. Chem., 2018

What matters in a transferable neural network model for relation classification in the biomedical domain?
Artif. Intell. Medicine, 2018

2017
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition.
CoRR, 2017

Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network.
CoRR, 2017

Investigating how well contextual features are captured by bi-directional recurrent neural network models.
Proceedings of the 14th International Conference on Natural Language Processing, 2017

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Representation Learning of Drug and Disease Terms for Drug Repositioning.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016
Relation extraction from clinical texts using domain invariant convolutional neural network.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

Recurrent neural network models for disease name recognition using domain invariant features.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Inferring disease correlation from healthcare data.
CoRR, 2015

Evaluating distributed word representations for capturing semantics of biomedical concepts.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

2010
Identification and analysis of transcription factor family-specific features derived from DNA and protein information.
Pattern Recognit. Lett., 2010

Integration of functional information of genes in fuzzy clustering of short time series gene expression data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
Prediction of Transcription Factor Families Using DNA Sequence Features.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

2007
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Feature Selection Using Rough Sets.
Proceedings of the Multi-Objective Machine Learning, 2006

ARP and ICMP weaknesses: Impact and network performance analysis of a novel attack strategy.
Proceedings of the Third IASTED International Conference on Communication, 2006

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2002
A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization.
Evol. Comput., 2002


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