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Journal Articles
- 2024
[j15]Chaitanya Kirti
, Ashish Anand, Prithwijit Guha:
Exploring Neural and Prompt-Based Approaches for Event Detection in Short Stories. Int. J. Asian Lang. Process. 34(2): 2450008:1-2450008:21 (2024)- 2023
- [j14]Vedant Sharma, Deepak Sharma, Ashish Anand:
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis. J. Comput. Inf. Sci. Eng. 23(4) (2023) - [j13]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
Dual Attention and Question Categorization-Based Visual Question Answering. IEEE Trans. Artif. Intell. 4(1): 81-91 (2023) - 2022
- [j12]Madhusudan Paul, Ashish Anand:
A New Family of Similarity Measures for Scoring Confidence of Protein Interactions Using Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 19-30 (2022) - 2021
- [j11]Aparajita Dutta, Kusum Kumari Singh, Ashish Anand:
SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks. J. Bioinform. Comput. Biol. 19(4): 2150014:1-2150014:24 (2021) - [j10]Saptarshi Pyne, Ashish Anand:
Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1608-1619 (2021) - 2020
- [j9]Aparajita Dutta, Aman Dalmia, Athul R, Kusum Kumari Singh, Ashish Anand:
Using the Chou's 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks. Comput. Biol. Medicine 116: 103558 (2020) - [j8]Madhusudan Paul, Ashish Anand:
Impact of low-confidence interactions on computational identification of protein complexes. J. Bioinform. Comput. Biol. 18(4): 2050025:1-2050025:16 (2020) - [j7]Madhusudan Paul, Ashish Anand, Saptarshi Pyne:
Impact of the Continuous Evolution of Gene Ontology on the Performance of Similarity Measures for Scoring Confidence of Protein Interactions. SN Comput. Sci. 1(6): 351 (2020) - [j6]Saptarshi Pyne, Alok Ranjan Kumar, Ashish Anand:
Rapid Reconstruction of Time-Varying Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 278-291 (2020) - 2018
- [j5]Sunil Kumar Sahu, Ashish Anand:
What matters in a transferable neural network model for relation classification in the biomedical domain? Artif. Intell. Medicine 87: 60-66 (2018) - [j4]Aparajita Dutta, Tushar Dubey, Kusum Kumari Singh, Ashish Anand:
SpliceVec: Distributed feature representations for splice junction prediction. Comput. Biol. Chem. 74: 434-441 (2018) - [j3]Sunil Kumar Sahu, Ashish Anand:
Drug-drug interaction extraction from biomedical texts using long short-term memory network. J. Biomed. Informatics 86: 15-24 (2018) - 2010
- [j2]Ashish Anand, Ganesan Pugalenthi, Gary B. Fogel, Ponnuthurai N. Suganthan:
Identification and analysis of transcription factor family-specific features derived from DNA and protein information. Pattern Recognit. Lett. 31(14): 2097-2102 (2010) - 2002
- [j1]Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi:
A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. Evol. Comput. 10(4): 345-369 (2002)
Conference and Workshop Papers
- 2023
- [c29]Akshay Parekh, Ashish Anand, Amit Awekar:
Relation Classification Model Performance as a Function of Dataset Label Noise. COMAD/CODS 2023: 139 - [c28]Chaitanya Kirti, Ayon Chattopadhyay, Ashish Anand, Prithwijit Guha:
Deciphering Storytelling Events: A Study of Neural and Prompt-Driven Event Detection in Short Stories. IALP 2023: 106-111 - [c27]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
Aggregated Co-attention based Visual Question Answering. ICVGIP 2023: 28:1-28:10 - [c26]Sanchit Pathak, Garima Singh, Ashish Anand, Prithwijit Guha:
S-VQA: Sentence-Based Visual Question Answering. ICVGIP 2023: 39:1-39:8 - 2022
- [c25]Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand:
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). AAAI 2022: 13031-13032 - [c24]Aparajita Dutta, Kusum Kumari Singh, Ashish Anand:
Identification of Splice Junctions Across Species Using BLSTM Model. ICCBB 2022: 1-6 - [c23]Akshay Parekh, Ashish Anand, Amit Awekar:
Improving Relation Classification Using Relation Hierarchy. NLDB 2022: 315-322 - 2020
- [c22]Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. COMAD/CODS 2020: 200-203 - [c21]Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand:
ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. SDP@EMNLP 2020: 127-137 - [c20]Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha:
IQ-VQA: Intelligent Visual Question Answering. ICPR Workshops (2) 2020: 357-370 - [c19]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
Multi-stage Attention based Visual Question Answering. ICPR 2020: 9407-9414 - [c18]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
CQ-VQA: Visual Question Answering on Categorized Questions. IJCNN 2020: 1-8 - 2019
- [c17]Vishv Mohan Malhotra, Ashish Anand:
Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests. ACE 2019: 1-10 - [c16]Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar:
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. AKBC 2019 - [c15]Madhusudan Paul, Ashish Anand, Saptarshi Pyne:
Impact of the Continuous Evolution of Gene Ontology on Similarity Measures. PReMI (2) 2019: 122-129 - 2017
- [c14]Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand:
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. BioNLP 2017: 316-321 - [c13]Desh Raj, Sunil Kumar Sahu, Ashish Anand:
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. CoNLL 2017: 311-321 - [c12]Sahil Manchanda, Ashish Anand:
Representation Learning of Drug and Disease Terms for Drug Repositioning. CYBCONF 2017: 1-6 - [c11]Abhishek, Ashish Anand, Amit Awekar:
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. EACL (1) 2017: 797-807 - [c10]Kushal Chawla, Sunil Kumar Sahu, Ashish Anand:
Investigating how well contextual features are captured by bi-directional recurrent neural network models. ICON 2017: 273-282 - 2016
- [c9]Sunil Kumar Sahu, Ashish Anand:
Recurrent neural network models for disease name recognition using domain invariant features. ACL (1) 2016 - [c8]Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu:
Relation extraction from clinical texts using domain invariant convolutional neural network. BioNLP@ACL 2016: 206-215 - 2015
- [c7]Muneeb Th, Sunil Kumar Sahu, Ashish Anand:
Evaluating distributed word representations for capturing semantics of biomedical concepts. BioNLP@IJCNLP 2015: 158-163 - 2010
- [c6]Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan:
Integration of functional information of genes in fuzzy clustering of short time series gene expression data. IEEE Congress on Evolutionary Computation 2010: 1-8 - 2008
- [c5]Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan:
Prediction of Transcription Factor Families Using DNA Sequence Features. PRIB 2008: 154-164 - 2007
- [c4]Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation 2007: 297-304 - 2006
- [c3]Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan:
Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. CIBCB 2006: 1-6 - [c2]Ashish Anand, Rahul Rishi, Mukesh Kumar:
ARP and ICMP weaknesses: Impact and network performance analysis of a novel attack strategy. Communication, Network, and Information Security 2006: 144-149 - 2002
- [c1]Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand:
Real-coded evolutionary algorithms with parent-centric recombination. IEEE Congress on Evolutionary Computation 2002: 61-66
Parts in Books or Collections
- 2006
- [p1]Mohua Banerjee, Sushmita Mitra, Ashish Anand:
Feature Selection Using Rough Sets. Multi-Objective Machine Learning 2006: 3-20
Informal and Other Publications
- 2024
- [i21]Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand:
End-to-End Argument Mining as Augmented Natural Language Generation. CoRR abs/2406.08606 (2024) - 2023
- [i20]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
VQA with Cascade of Self- and Co-Attention Blocks. CoRR abs/2302.14777 (2023) - [i19]Akshay Parekh, Ashish Anand, Amit Awekar:
Noise in Relation Classification Dataset TACRED: Characterization and Reduction. CoRR abs/2311.12298 (2023) - 2021
- [i18]Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand:
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages. CoRR abs/2111.11815 (2021) - [i17]Akshay Parekh, Ashish Anand, Amit Awekar:
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. CoRR abs/2112.13320 (2021) - 2020
- [i16]Aakansha Mishra, Ashish Anand, Prithwijit Guha:
CQ-VQA: Visual Question Answering on Categorized Questions. CoRR abs/2002.06800 (2020) - [i15]Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha:
IQ-VQA: Intelligent Visual Question Answering. CoRR abs/2007.04422 (2020) - 2019
- [i14]Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar:
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. CoRR abs/1904.13178 (2019) - [i13]Vishal Agarwal, N. Jayanth Kumar Reddy, Ashish Anand:
Unsupervised Representation Learning of DNA Sequences. CoRR abs/1906.03087 (2019) - [i12]Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. CoRR abs/1909.06249 (2019) - 2018
- [i11]Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar:
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. CoRR abs/1810.08782 (2018) - 2017
- [i10]Sunil Kumar Sahu, Ashish Anand:
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network. CoRR abs/1701.08303 (2017) - [i9]Abhishek, Ashish Anand, Amit Awekar:
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. CoRR abs/1702.06709 (2017) - [i8]Sahil Manchanda, Ashish Anand:
Representation learning of drug and disease terms for drug repositioning. CoRR abs/1705.05183 (2017) - [i7]Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand:
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. CoRR abs/1705.09516 (2017) - [i6]Sunil Kumar Sahu, Ashish Anand:
What matters in a transferable neural network model for relation classification in the biomedical domain? CoRR abs/1708.03446 (2017) - [i5]Sunil Kumar Sahu, Ashish Anand:
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition. CoRR abs/1708.03447 (2017) - [i4]Kushal Chawla, Sunil Kumar Sahu, Ashish Anand:
Investigating how well contextual features are captured by bi-directional recurrent neural network models. CoRR abs/1709.00659 (2017) - 2016
- [i3]Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu:
Relation extraction from clinical texts using domain invariant convolutional neural network. CoRR abs/1606.09370 (2016) - [i2]Sunil Kumar Sahu, Ashish Anand:
Recurrent neural network models for disease name recognition using domain invariant features. CoRR abs/1606.09371 (2016) - 2015
- [i1]Gargi Priyadarshini, Ashish Anand:
Inferring disease correlation from healthcare data. CoRR abs/1510.03051 (2015)
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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