Ashish Anand

发表

Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models

Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand, 2017, BioNLP.

Feature Selection Using Rough Sets

Sushmita Mitra, Mohua Banerjee, Ashish Anand, 2006, Multi-Objective Machine Learning.

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization

Kalyanmoy Deb, Dhiraj Joshi, Ashish Anand, 2002, Evolutionary Computation.

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

Sunil Kumar Sahu, Ashish Anand, Kushal Chawla, 2017, ICON.

Evaluating distributed word representations for capturing semantics of biomedical concepts

Sunil Kumar Sahu, Ashish Anand, Muneeb Th, 2015, BioNLP@IJCNLP.

Rapid Reconstruction of Time-Varying Gene Regulatory Networks

Ashish Anand, Saptarshi Pyne, Alok Ranjan Kumar, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Representation Learning of Drug and Disease Terms for Drug Repositioning

Ashish Anand, Sahil Manchanda, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

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

Rahul Rishi, Ashish Anand, Mukesh Kumar, 2006, Communication, Network, and Information Security.

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

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

Sunil Kumar Sahu, Ashish Anand, Ashish Anand, 2017, Deep Learning Techniques for Biomedical and Health Informatics.

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

Sunil Kumar Sahu, Ashish Anand, Ashish Anand, 2017, J. Biomed. Informatics.

Inferring disease correlation from healthcare data pdf

Ashish Anand, Gargi Priyadarshini, Ashish Anand, 2015, ArXiv.

Predicting Online Doctor Ratings from User Reviews Using Convolutional Neural Networks

Sunil Kumar Sahu, Ashish Anand, Samarth Tripathi, 2016 .

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

Nikhil R. Pal, Ponnuthurai N. Suganthan, Ashish Anand, 2010, IEEE Congress on Evolutionary Computation.

cDB: Strong Regulatory Compliant Databases

Ashish Anand, 2009 .

Inference of splicing motifs through visualization of recurrent networks

Ashish Anand, Aparajita Dutta, Kusum Kumari Singh, 2018, bioRxiv.

Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests

Ashish Anand, Vishv M. Malhotra, Vishv Mohan Malhotra, 2019, ACE '19.

Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text

Sunil Kumar Sahu, Ashish Anand, Desh Raj, 2017, CoNLL.

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

Sunil Kumar Sahu, Ashish Anand, Ashish Anand, 2017, Artif. Intell. Medicine.

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

Sunil Kumar Sahu, Ashish Anand, Ashish Anand, 2016, ACL.

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

Garima Malik, Sanya Bathla Taneja, Ashish Anand, 2019, AKBC.

Unsupervised Representation Learning of DNA Sequences pdf

Vishal Agarwal, Ashish Anand, N Jayanth Kumar Reddy, 2019, ArXiv.

Identification and analysis of transcription factor family-specific features derived from DNA and protein information

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2010, Pattern Recognit. Lett..

Microgrid control: A comparative study on control strategies for controlling the circulating current

Ashish Anand, P. Usha, Sangeeta Modi, 2015, 2015 Communication, Control and Intelligent Systems (CCIS).

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

Ashish Anand, Amar Prakash Azad, Abhishek, 2018, ArXiv.

Prediction of Transcription Factor Families Using DNA Sequence Features

Ponnuthurai N. Suganthan, Gary B. Fogel, Ashish Anand, 2008, PRIB.

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases

Ashish Anand, Amit Awekar, Akshay Parekh, 2020, COMAD/CODS.

SpliceVec: distributed feature representations for splice junction prediction

Ashish Anand, Aparajita Dutta, Tushar Dubey, 2017, bioRxiv.

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

Ashish Anand, Abhishek, Amit Awekar, 2017, EACL.

A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data

Kalyanmoy Deb, Ponnuthurai N. Suganthan, Ashish Anand, 2007, 2007 IEEE Congress on Evolutionary Computation.

Relation extraction from clinical texts using domain invariant convolutional neural network

Sunil Kumar Sahu, Ashish Anand, Mahanandeeshwar Gattu, 2016, BioNLP@ACL.

SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks

Ashish Anand, Aparajita Dutta, Kusum Kumari Singh, 2021, J. Bioinform. Comput. Biol..

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages pdf

Gouri Sankar Majumder, Ashish Anand, Akshara Prabhakar, 2021, ArXiv.

Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy pdf

Ashish Anand, Amit Awekar, Akshay Parekh, 2021, ArXiv.