Real-coded evolutionary algorithms with parent-centric recombination. - Kalyanrnoy Deb; Dhiraj Joshi; Ashish Anand (IEEE Congress on Evolutionary Computation, 2002)

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. - Kalyanmoy Deb; Ashish Anand; Dhiraj Joshi (Evol. Comput., 2002)

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. - Ashish Anand; Gary B. Fogel; E. Ke Tang; Ponnuthurai N. Suganthan (CIBCB, 2006)

ARP and ICMP weaknesses: Impact and network performance analysis of a novel attack strategy. - Ashish Anand; Rahul Rishi; Mukesh Kumar (Communication, Network, and Information Security, 2006)

Feature Selection Using Rough Sets. - Mohua Banerjee; Sushmita Mitra; Ashish Anand (Multi-Objective Machine Learning, 2006)

A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. - Ashish Anand; Ponnuthurai N. Suganthan; Kalyanmoy Deb (IEEE Congress on Evolutionary Computation, 2007)

Prediction of Transcription Factor Families Using DNA Sequence Features. - Ashish Anand; Gary B. Fogel; Ganesan Pugalenthi; Ponnuthurai N. Suganthan (PRIB, 2008)

Integration of functional information of genes in fuzzy clustering of short time series gene expression data. - Ashish Anand; Nikhil R. Pal; Ponnuthurai Nagaratnam Suganthan (IEEE Congress on Evolutionary Computation, 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)

Evaluating distributed word representations for capturing semantics of biomedical concepts. - Muneeb Th; Sunil Kumar Sahu; Ashish Anand (BioNLP@IJCNLP, 2015)

Inferring disease correlation from healthcare data. - Gargi Priyadarshini; Ashish Anand (CoRR, 2015)

Recurrent neural network models for disease name recognition using domain invariant features. - Sunil Kumar Sahu; Ashish Anand (ACL (1), 2016)

Relation extraction from clinical texts using domain invariant convolutional neural network. - Sunil Kumar Sahu; Ashish Anand; Krishnadev Oruganty; Mahanandeeshwar Gattu (BioNLP@ACL, 2016)

Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. - Patchigolla V. S. S. Rahul; Sunil Kumar Sahu; Ashish Anand (BioNLP, 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 (CoNLL, 2017)

Representation Learning of Drug and Disease Terms for Drug Repositioning. - Sahil Manchanda; Ashish Anand (CYBCONF, 2017)

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. - Abhishek; Ashish Anand; Amit Awekar (EACL (1), 2017)

Investigating how well contextual features are captured by bi-directional recurrent neural network models. - Kushal Chawla; Sunil Kumar Sahu; Ashish Anand (ICON, 2017)

Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network. - Sunil Kumar Sahu; Ashish Anand (CoRR, 2017)

Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition. - Sunil Kumar Sahu; Ashish Anand (CoRR, 2017)

What matters in a transferable neural network model for relation classification in the biomedical domain? - Sunil Kumar Sahu; Ashish Anand (Artif. Intell. Medicine, 2018)

SpliceVec: Distributed feature representations for splice junction prediction. - Aparajita Dutta; Tushar Dubey; Kusum Kumari Singh; Ashish Anand (Comput. Biol. Chem., 2018)

A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. - Abhishek; Amar Prakash Azad; Balaji Ganesan; Ashish Anand; Amit Awekar (CoRR, 2018)

Drug-drug interaction extraction from biomedical texts using long short-term memory network. - Sunil Kumar Sahu; Ashish Anand (J. Biomed. Informatics, 2018)

Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests. - Vishv Mohan Malhotra; Ashish Anand (ACE, 2019)

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. - Abhishek Abhishek; Sanya Bathla Taneja; Garima Malik; Ashish Anand; Amit Awekar (AKBC, 2019)

Collective Learning From Diverse Datasets for Entity Typing in the Wild. - Abhishek Abhishek; Amar Prakash Azad; Balaji Ganesan; Ashish Anand; Amit Awekar (EYRE@CIKM, 2019)

Impact of the Continuous Evolution of Gene Ontology on Similarity Measures. - Madhusudan Paul; Ashish Anand; Saptarshi Pyne (PReMI (2), 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)

Unsupervised Representation Learning of DNA Sequences. - Vishal Agarwal; N. Jayanth Kumar Reddy; Ashish Anand (CoRR, 2019)

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. - Akshay Parekh; Ashish Anand; Amit Awekar (COMAD/CODS, 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 (SDP@EMNLP, 2020)

IQ-VQA: Intelligent Visual Question Answering. - Vatsal Goel; Mohit Chandak; Ashish Anand; Prithwijit Guha (ICPR Workshops (2), 2020)

Multi-stage Attention based Visual Question Answering. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (ICPR, 2020)

CQ-VQA: Visual Question Answering on Categorized Questions. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (IJCNN, 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)

Impact of low-confidence interactions on computational identification of protein complexes. - Madhusudan Paul; Ashish Anand (J. Bioinform. Comput. Biol., 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)

Rapid Reconstruction of Time-Varying Gene Regulatory Networks. - Saptarshi Pyne; Alok Ranjan Kumar; Ashish Anand (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages. - Akshara Prabhakar; Gouri Sankar Majumder; Ashish Anand (CoRR, 2021)

Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. - Akshay Parekh; Ashish Anand; Amit Awekar (CoRR, 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)

Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory. - Saptarshi Pyne; Ashish Anand (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). - Akshara Prabhakar; Gouri Sankar Majumder; Ashish Anand (AAAI, 2022)

Identification of Splice Junctions Across Species Using BLSTM Model. - Aparajita Dutta; Kusum Kumari Singh; Ashish Anand (ICCBB, 2022)

Improving Relation Classification Using Relation Hierarchy. - Akshay Parekh; Ashish Anand; Amit Awekar (NLDB, 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)

Relation Classification Model Performance as a Function of Dataset Label Noise. - Akshay Parekh; Ashish Anand; Amit Awekar (COMAD/CODS, 2023)

Deciphering Storytelling Events: A Study of Neural and Prompt-Driven Event Detection in Short Stories. - Chaitanya Kirti; Ayon Chattopadhyay; Ashish Anand; Prithwijit Guha (IALP, 2023)

Aggregated Co-attention based Visual Question Answering. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (ICVGIP, 2023)

S-VQA: Sentence-Based Visual Question Answering. - Sanchit Pathak; Garima Singh; Ashish Anand; Prithwijit Guha (ICVGIP, 2023)

VQA with Cascade of Self- and Co-Attention Blocks. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (CoRR, 2023)

Noise in Relation Classification Dataset TACRED: Characterization and Reduction. - Akshay Parekh; Ashish Anand; Amit Awekar (CoRR, 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)

Dual Attention and Question Categorization-Based Visual Question Answering. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (IEEE Trans. Artif. Intell., 2023)

Visual Question Answering with Cascade of Self- and Co-Attention Blocks. - Aakansha Mishra; Ashish Anand; Prithwijit Guha (ICPR (19), 2024)

End-to-End Argument Mining as Augmented Natural Language Generation. - Nilmadhab Das; Vishal Choudhary; Vijaya V. Saradhi; Ashish Anand (CoRR, 2024)

Enhancing Event Extraction from Short Stories through Contextualized Prompts. - Chaitanya Kirti; Ayon Chattopadhyay; Ashish Anand; Prithwijit Guha (CoRR, 2024)

AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models. - Mansi; Pranshu Pandya; Mahek Bhavesh Vora; Soumya Bharadwaj; Ashish Anand (CoRR, 2024)

Exploring Neural and Prompt-Based Approaches for Event Detection in Short Stories. - Chaitanya Kirti; Ashish Anand; Prithwijit Guha (Int. J. Asian Lang. Process., 2024)

On the Role of Key Phrases in Argument Mining. - Nilmadhab Das; Vijaya V. Saradhi; Ashish Anand (NAACL (Findings), 2025)

TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages. - Prachuryya Kaushik; Shivansh Mishra; Ashish Anand (SIGIR, 2025)

From Argumentative Text to Argument Knowledge Graph: A New Framework for Structured Argumentation. - Debarati Bhattacharjee; Ashish Anand (CoRR, 2025)