Arvind Agarwal

Orcid: 0000-0002-0715-4972

According to our database1, Arvind Agarwal authored at least 39 papers between 2009 and 2023.

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Bibliography

2023
Dynamic Control of Contractile Force in Engineered Heart Tissue.
IEEE Trans. Biomed. Eng., July, 2023


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

2022
Toward Scientific Workflows in a Serverless World.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Towards Automated Evaluation of Explanations in Graph Neural Networks.
CoRR, 2021

Automated Evaluation of GNN Explanations with Neuro Symbolic Reasoning.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Development of an Enterprise-Grade Contract Understanding System.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Multifaceted Context Representation using Dual Attention for Ontology Alignment.
CoRR, 2020

VeeAlign: a supervised deep learning approach to ontology alignment.
Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

Anu Question Answering System.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Learning risk culture of banks using news analytics.
Eur. J. Oper. Res., 2019

Compliance Change Tracking in Business Process Services.
CoRR, 2019

A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Dialogue-act-driven Conversation Model : An Experimental Study.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Deep Generative Framework for Paraphrase Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cognitive Compliance for Financial Regulations.
IT Prof., 2017

Dialogue Act Sequence Labeling using Hierarchical encoder with CRF.
CoRR, 2017

2016
A Relevant Content Filtering Based Framework for Data Stream Summarization.
Proceedings of the Social Informatics - 8th International Conference, 2016

A preliminary analysis of cloud classification results using Ka-band polarimetric radar signatures.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Monsoon cloud observations using a low power vertical looking Ka Band Cloud radar.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Distributed Representations for Content-Based and Personalized Tag Recommendation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Supervised Topic Models for Microblog Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Multitask Learning for Sequence Labeling Tasks.
CoRR, 2014

Feature Analysis for Computational Personality Recognition Using YouTube Personality Data set.
Proceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition, 2014

WS<sup>2</sup>F: A weakly supervised framework for data stream filtering.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Efficient Dynamic Methods for Predictive Action Strategy Optimization for Risk Driven Multi-channel Communication.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2012
Geometric Methods in Machine Learning and Data Mining.
PhD thesis, 2012

Sensor Network Localization for Moving Sensors.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Learning to rank for robust question answering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Generative Kernels for Exponential Families.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010
A geometric view of conjugate priors.
Mach. Learn., 2010

A Unified Algorithmic Framework for Multi-Dimensional Scaling
CoRR, 2010

Learning Multiple Tasks using Manifold Regularization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Universal multi-dimensional scaling.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Exponential Family Hybrid Semi-Supervised Learning.
Proceedings of the IJCAI 2009, 2009

Design of a Timing Signal Generator (TSG) for RADAR Using FPGA.
Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009


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