Ashish Anand

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

Rapid Reconstruction of Time-Varying Gene Regulatory Networks.

Saptarshi Pyne, Alok Ranjan Kumar, Ashish Anand

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.

Madhusudan Paul, Ashish Anand, Saptarshi Pyne

SN Comput. Sci., 2020

IQ-VQA: Intelligent Visual Question Answering.

Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha

CoRR, 2020

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

Aparajita Dutta, Aman Dalmia, Athul R, Kusum Kumari Singh, Ashish Anand

Comput. Biol. Medicine, 2020

CQ-VQA: Visual Question Answering on Categorized Questions.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

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.

Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases.

Akshay Parekh, Ashish Anand, Amit Awekar

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019

Unsupervised Representation Learning of DNA Sequences.

Vishal Agarwal, N. Jayanth Kumar Reddy, Ashish Anand

CoRR, 2019

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

Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar

CoRR, 2019

Impact of the Continuous Evolution of Gene Ontology on Similarity Measures.

Madhusudan Paul, Ashish Anand, Saptarshi Pyne

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

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

Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar

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.

Vishv Mohan Malhotra, Ashish Anand

Proceedings of the Twenty-First Australasian Computing Education Conference, 2019

2018

Drug-drug interaction extraction from biomedical texts using long short-term memory network.

Sunil Kumar Sahu, Ashish Anand

J. Biomed. Informatics, 2018

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

Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar

CoRR, 2018

SpliceVec: Distributed feature representations for splice junction prediction.

Aparajita Dutta, Tushar Dubey, Kusum Kumari Singh, Ashish Anand

Comput. Biol. Chem., 2018

What matters in a transferable neural network model for relation classification in the biomedical domain?

Sunil Kumar Sahu, Ashish Anand

Artif. Intell. Medicine, 2018

2017

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

Sunil Kumar Sahu, Ashish Anand

CoRR, 2017

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

Sunil Kumar Sahu, Ashish Anand

CoRR, 2017

Investigating how well contextual features are captured by bi-directional recurrent neural network models.

Kushal Chawla, Sunil Kumar Sahu, Ashish Anand

Proceedings of the 14th International Conference on Natural Language Processing, 2017

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings.

Abhishek, Ashish Anand, Amit Awekar

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.

Sahil Manchanda, Ashish Anand

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.

Desh Raj, Sunil Kumar Sahu, Ashish Anand

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models.

Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016

Relation extraction from clinical texts using domain invariant convolutional neural network.

Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

Recurrent neural network models for disease name recognition using domain invariant features.

Sunil Kumar Sahu, Ashish Anand

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Inferring disease correlation from healthcare data.

Gargi Priyadarshini, Ashish Anand

CoRR, 2015

Evaluating distributed word representations for capturing semantics of biomedical concepts.

Muneeb Th, Sunil Kumar Sahu, Ashish Anand

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.

Ashish Anand, Ganesan Pugalenthi, Gary B. Fogel, Ponnuthurai N. Suganthan

Pattern Recognit. Lett., 2010

Integration of functional information of genes in fuzzy clustering of short time series gene expression data.

Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008

Prediction of Transcription Factor Families Using DNA Sequence Features.

Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan

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.

Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Feature Selection Using Rough Sets.

Mohua Banerjee, Sushmita Mitra, Ashish Anand

Proceedings of the Multi-Objective Machine Learning, 2006

ARP and ICMP weaknesses: Impact and network performance analysis of a novel attack strategy.

Ashish Anand, Rahul Rishi, Mukesh Kumar

Proceedings of the Third IASTED International Conference on Communication, 2006

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities.

Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan

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.

Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi

Evol. Comput., 2002