Ashish Anand

According to our database, Ashish Anand authored at least 57 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring Neural and Prompt-Based Approaches for Event Detection in Short Stories.

Chaitanya Kirti, Ashish Anand, Prithwijit Guha

Int. J. Asian Lang. Process., June, 2024

End-to-End Argument Mining as Augmented Natural Language Generation.

Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand

CoRR, 2024

Visual Question Answering with Cascade of Self- and Co-Attention Blocks.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Dual Attention and Question Categorization-Based Visual Question Answering.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

IEEE Trans. Artif. Intell., February, 2023

Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis.

Vedant Sharma, Deepak Sharma, Ashish Anand

J. Comput. Inf. Sci. Eng., 2023

Noise in Relation Classification Dataset TACRED: Characterization and Reduction.

Akshay Parekh, Ashish Anand, Amit Awekar

CoRR, 2023

VQA with Cascade of Self- and Co-Attention Blocks.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

CoRR, 2023

S-VQA: Sentence-Based Visual Question Answering.

Sanchit Pathak, Garima Singh, Ashish Anand, Prithwijit Guha

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

Aggregated Co-attention based Visual Question Answering.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

Deciphering Storytelling Events: A Study of Neural and Prompt-Driven Event Detection in Short Stories.

Chaitanya Kirti, Ayon Chattopadhyay, Ashish Anand, Prithwijit Guha

Proceedings of the International Conference on Asian Language Processing, 2023

Relation Classification Model Performance as a Function of Dataset Label Noise.

Akshay Parekh, Ashish Anand, Amit Awekar

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

A New Family of Similarity Measures for Scoring Confidence of Protein Interactions Using Gene Ontology.

Madhusudan Paul, Ashish Anand

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Improving Relation Classification Using Relation Hierarchy.

Akshay Parekh, Ashish Anand, Amit Awekar

Proceedings of the Natural Language Processing and Information Systems, 2022

Identification of Splice Junctions Across Species Using BLSTM Model.

Aparajita Dutta, Kusum Kumari Singh, Ashish Anand

Proceedings of the 6th International Conference on Computational Biology and Bioinformatics, 2022

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract).

Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory.

Saptarshi Pyne, Ashish Anand

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Aparajita Dutta, Kusum Kumari Singh, Ashish Anand

J. Bioinform. Comput. Biol., 2021

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

Akshay Parekh, Ashish Anand, Amit Awekar

CoRR, 2021

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

Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand

CoRR, 2021

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

Impact of low-confidence interactions on computational identification of protein complexes.

Madhusudan Paul, Ashish Anand

J. Bioinform. Comput. Biol., 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

Multi-stage Attention based Visual Question Answering.

Aakansha Mishra, Ashish Anand, Prithwijit Guha

Proceedings of the 25th International Conference on Pattern Recognition, 2020

IQ-VQA: Intelligent Visual Question Answering.

Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 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

Real-coded evolutionary algorithms with parent-centric recombination.

Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand

Proceedings of the 2002 Congress on Evolutionary Computation, 2002