Ashish Anand - RankMe

83 papers A* 3B 8C 3Journal 43Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers. CoRR Prachuryya Kaushik, Ashish Anand
2026	J	`jnl`	Ent-BAM: A Generative Framework for Biomedical Argument Mining Enriched With Entity Information. IEEE Trans. Artif. Intell. Nilmadhab Das, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand
2026	J	`jnl`	Malware Classification using Diluted Convolutional Neural Network with Fast Gradient Sign Method. CoRR Ashish Anand, Bhupendra Singh, Sunil Khemka, Bireswar Banerjee, Vishi Singh Bhatia, Piyush Ranjan
2026	A*	`conf`	SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages. AAAI Prachuryya Kaushik, Ashish Anand
2025	—	`conf`	CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition. IJCNLP-AACL (long papers) Prachuryya Kaushik, Ashish Anand
2025	B	`conf`	End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction. IJCNN Nilmadhab Das, Vishal Vaibhav, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand
2025	J	`jnl`	End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction. CoRR Nilmadhab Das, Vishal Vaibhav, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand
2025	B	`conf`	Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language. IJCNN Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand
2025	J	`jnl`	From Argumentative Text to Argument Knowledge Graph: A New Framework for Structured Argumentation. CoRR Debarati Bhattacharjee, Ashish Anand
2025	—	`conf`	HALO-GPT: Hindi Active Learning with Oracle GPT-3.5. FIRE Ajanta Maurya, V. Vijaya Saradhi, Ashish Anand
2025	—	`conf`	Labeling Function Generation for NER Task: Limitation of LLMs. CODS Ajanta Maurya, Jay Khinchi, V. Vijaya Saradhi, Ashish Anand
2025	—	`conf`	On the Role of Key Phrases in Argument Mining. NAACL (Findings) Nilmadhab Das, V. Vijaya Saradhi, Ashish Anand
2025	A*	`conf`	TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages. SIGIR Prachuryya Kaushik, Shivansh Mishra, Ashish Anand
2024	J	`jnl`	AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models. CoRR Mansi, Pranshu Pandya, Mahek Bhavesh Vora, Soumya Bharadwaj, Ashish Anand
2024	J	`jnl`	End-to-End Argument Mining as Augmented Natural Language Generation. CoRR Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand
2024	J	`jnl`	Enhancing Event Extraction from Short Stories through Contextualized Prompts. CoRR Chaitanya Kirti, Ayon Chattopadhyay, Ashish Anand, Prithwijit Guha
2024	J	`jnl`	Exploring Neural and Prompt-Based Approaches for Event Detection in Short Stories. Int. J. Asian Lang. Process. Chaitanya Kirti, Ashish Anand, Prithwijit Guha
2024	—	`conf`	Visual Question Answering with Cascade of Self- and Co-Attention Blocks. ICPR (19) Aakansha Mishra, Ashish Anand, Prithwijit Guha
2023	—	`conf`	Aggregated Co-attention based Visual Question Answering. ICVGIP Aakansha Mishra, Ashish Anand, Prithwijit Guha
2023	—	`conf`	Deciphering Storytelling Events: A Study of Neural and Prompt-Driven Event Detection in Short Stories. IALP Chaitanya Kirti, Ayon Chattopadhyay, Ashish Anand, Prithwijit Guha
2023	J	`jnl`	Dual Attention and Question Categorization-Based Visual Question Answering. IEEE Trans. Artif. Intell. Aakansha Mishra, Ashish Anand, Prithwijit Guha
2023	J	`jnl`	Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis. J. Comput. Inf. Sci. Eng. Vedant Sharma, Deepak Sharma, Ashish Anand
2023	J	`jnl`	Noise in Relation Classification Dataset TACRED: Characterization and Reduction. CoRR Akshay Parekh, Ashish Anand, Amit Awekar
2023	—	`conf`	Relation Classification Model Performance as a Function of Dataset Label Noise. COMAD/CODS Akshay Parekh, Ashish Anand, Amit Awekar
2023	—	`conf`	S-VQA: Sentence-Based Visual Question Answering. ICVGIP Sanchit Pathak, Garima Singh, Ashish Anand, Prithwijit Guha
2023	J	`jnl`	VQA with Cascade of Self- and Co-Attention Blocks. CoRR Aakansha Mishra, Ashish Anand, Prithwijit Guha
2022	J	`jnl`	A New Family of Similarity Measures for Scoring Confidence of Protein Interactions Using Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. Madhusudan Paul, Ashish Anand
2022	A*	`conf`	CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). AAAI Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand
2022	—	`conf`	Identification of Splice Junctions Across Species Using BLSTM Model. ICCBB Aparajita Dutta, Kusum Kumari Singh, Ashish Anand
2022	C	`conf`	Improving Relation Classification Using Relation Hierarchy. NLDB Akshay Parekh, Ashish Anand, Amit Awekar
2021	J	`jnl`	Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. CoRR Akshay Parekh, Ashish Anand, Amit Awekar
2021	J	`jnl`	CL-NERIL: A Cross-Lingual Model for NER in Indian Languages. CoRR Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand
2021	J	`jnl`	Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory. IEEE ACM Trans. Comput. Biol. Bioinform. Saptarshi Pyne, Ashish Anand
2021	J	`jnl`	SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks. J. Bioinform. Comput. Biol. Aparajita Dutta, Kusum Kumari Singh, Ashish Anand
2020	B	`conf`	CQ-VQA: Visual Question Answering on Categorized Questions. IJCNN Aakansha Mishra, Ashish Anand, Prithwijit Guha
2020	J	`jnl`	CQ-VQA: Visual Question Answering on Categorized Questions. CoRR Aakansha Mishra, Ashish Anand, Prithwijit Guha
2020	—	`conf`	ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. SDP@EMNLP Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand
2020	—	`conf`	IQ-VQA: Intelligent Visual Question Answering. ICPR Workshops (2) Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha
2020	J	`jnl`	IQ-VQA: Intelligent Visual Question Answering. CoRR Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha
2020	J	`jnl`	Impact of low-confidence interactions on computational identification of protein complexes. J. Bioinform. Comput. Biol. Madhusudan Paul, Ashish Anand
2020	J	`jnl`	Impact of the Continuous Evolution of Gene Ontology on the Performance of Similarity Measures for Scoring Confidence of Protein Interactions. SN Comput. Sci. Madhusudan Paul, Ashish Anand, Saptarshi Pyne
2020	B	`conf`	Multi-stage Attention based Visual Question Answering. ICPR Aakansha Mishra, Ashish Anand, Prithwijit Guha
2020	J	`jnl`	Rapid Reconstruction of Time-Varying Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Saptarshi Pyne, Alok Ranjan Kumar, Ashish Anand
2020	—	`conf`	Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. COMAD/CODS Akshay Parekh, Ashish Anand, Amit Awekar
2020	J	`jnl`	Using the Chou's 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks. Comput. Biol. Medicine Aparajita Dutta, Aman Dalmia, Athul R, Kusum Kumari Singh, Ashish Anand
2019	—	`conf`	Collective Learning From Diverse Datasets for Entity Typing in the Wild. EYRE@CIKM Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar
2019	—	`conf`	Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. AKBC Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
2019	J	`jnl`	Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. CoRR Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
2019	—	`conf`	Impact of the Continuous Evolution of Gene Ontology on Similarity Measures. PReMI (2) Madhusudan Paul, Ashish Anand, Saptarshi Pyne
2019	J	`jnl`	Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. CoRR Akshay Parekh, Ashish Anand, Amit Awekar
2019	C	`conf`	Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests. ACE Vishv Mohan Malhotra, Ashish Anand
2019	J	`jnl`	Unsupervised Representation Learning of DNA Sequences. CoRR Vishal Agarwal, N. Jayanth Kumar Reddy, Ashish Anand
2018	J	`jnl`	A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. CoRR Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar
2018	J	`jnl`	Drug-drug interaction extraction from biomedical texts using long short-term memory network. J. Biomed. Informatics Sunil Kumar Sahu, Ashish Anand
2018	J	`jnl`	SpliceVec: Distributed feature representations for splice junction prediction. Comput. Biol. Chem. Aparajita Dutta, Tushar Dubey, Kusum Kumari Singh, Ashish Anand
2018	J	`jnl`	What matters in a transferable neural network model for relation classification in the biomedical domain? Artif. Intell. Medicine Sunil Kumar Sahu, Ashish Anand
2017	—	`conf`	Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. BioNLP Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand
2017	J	`jnl`	Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. CoRR Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand
2017	J	`jnl`	Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network. CoRR Sunil Kumar Sahu, Ashish Anand
2017	—	`conf`	Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. EACL (1) Abhishek, Ashish Anand, Amit Awekar
2017	J	`jnl`	Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. CoRR Abhishek, Ashish Anand, Amit Awekar
2017	—	`conf`	Investigating how well contextual features are captured by bi-directional recurrent neural network models. ICON Kushal Chawla, Sunil Kumar Sahu, Ashish Anand
2017	J	`jnl`	Investigating how well contextual features are captured by bi-directional recurrent neural network models. CoRR Kushal Chawla, Sunil Kumar Sahu, Ashish Anand
2017	B	`conf`	Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. CoNLL Desh Raj, Sunil Kumar Sahu, Ashish Anand
2017	—	`conf`	Representation Learning of Drug and Disease Terms for Drug Repositioning. CYBCONF Sahil Manchanda, Ashish Anand
2017	J	`jnl`	Representation learning of drug and disease terms for drug repositioning. CoRR Sahil Manchanda, Ashish Anand
2017	J	`jnl`	Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition. CoRR Sunil Kumar Sahu, Ashish Anand
2017	J	`jnl`	What matters in a transferable neural network model for relation classification in the biomedical domain? CoRR Sunil Kumar Sahu, Ashish Anand
2016	—	`conf`	Recurrent neural network models for disease name recognition using domain invariant features. ACL (1) Sunil Kumar Sahu, Ashish Anand
2016	J	`jnl`	Recurrent neural network models for disease name recognition using domain invariant features. CoRR Sunil Kumar Sahu, Ashish Anand
2016	—	`conf`	Relation extraction from clinical texts using domain invariant convolutional neural network. BioNLP@ACL Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu
2016	J	`jnl`	Relation extraction from clinical texts using domain invariant convolutional neural network. CoRR Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu
2015	—	`conf`	Evaluating distributed word representations for capturing semantics of biomedical concepts. BioNLP@IJCNLP Muneeb Th, Sunil Kumar Sahu, Ashish Anand
2015	J	`jnl`	Inferring disease correlation from healthcare data. CoRR Gargi Priyadarshini, Ashish Anand
2010	J	`jnl`	Identification and analysis of transcription factor family-specific features derived from DNA and protein information. Pattern Recognit. Lett. Ashish Anand, Ganesan Pugalenthi, Gary B. Fogel, Ponnuthurai N. Suganthan
2010	B	`conf`	Integration of functional information of genes in fuzzy clustering of short time series gene expression data. IEEE Congress on Evolutionary Computation Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan
2008	—	`conf`	Prediction of Transcription Factor Families Using DNA Sequence Features. PRIB Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan
2007	B	`conf`	A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb
2006	—	`conf`	ARP and ICMP weaknesses: Impact and network performance analysis of a novel attack strategy. Communication, Network, and Information Security Ashish Anand, Rahul Rishi, Mukesh Kumar
2006	C	`conf`	Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. CIBCB Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan
2006	—	`ch.`	Feature Selection Using Rough Sets. Multi-Objective Machine Learning Mohua Banerjee, Sushmita Mitra, Ashish Anand
2002	J	`jnl`	A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. Evol. Comput. Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi
2002	B	`conf`	Real-coded evolutionary algorithms with parent-centric recombination. IEEE Congress on Evolutionary Computation Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand