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ORCIDArvind Agarwal
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2020 – today
- 2024
[j5]Abderrachid Hamrani
, Arvind Agarwal, Amine Allouhi, Dwayne McDaniel:
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review. J. Intell. Manuf. 35(6): 2407-2439 (2024)- [i11]Ritwik Chaudhuri, Rajmohan C, Kirushikesh D. B., Arvind Agarwal:
Automated Question Generation on Tabular Data for Conversational Data Exploration. CoRR abs/2407.12859 (2024) - 2023
- [j4]Huate Li, Subramanian Sundaram, Ruifeng Hu, Lihua Lou, Francisco Sanchez, William McDonald, Arvind Agarwal, Christopher S. Chen, Thomas G. Bifano:
Dynamic Control of Contractile Force in Engineered Heart Tissue. IEEE Trans. Biomed. Eng. 70(7): 2237-2245 (2023) - [c29]Rajmohan C, Ritwik Chaudhuri, Balaji Ganesan, Anupam Sanghi, Arvind Agarwal, Sameep Mehta:
Tutorial on Semantic Automation for Data Discovery. COMAD/CODS 2023: 330-334 - [c28]Daniel Karl I. Weidele, Gaetano Rossiello, Gregory Bramble, Abel N. Valente, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Mauro Martino, Nandana Mihindukulasooriya, Haritha Ananthakrishnan, Hendrik Strobelt, Hima Patel, Alfio Massimiliano Gliozzo, Owen Cornec, Ankush Gupta, Sameep Mehta, Manish Kesarwani, Horst Samulowitz, Oktie Hassanzadeh, Arvind Agarwal, Lisa Amini:
Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) 2023 - 2022
- [c27]Aakash Khochare, Yogesh Simmhan, Sameep Mehta, Arvind Agarwal:
Toward Scientific Workflows in a Serverless World. e-Science 2022: 399-400 - [e1]Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran:
Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13773, Springer 2022, ISBN 978-3-031-24093-5 [contents] - 2021
- [c26]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment. EMNLP (1) 2021: 10780-10792 - [c25]Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha C. Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu:
Development of an Enterprise-Grade Contract Understanding System. NAACL-HLT (Industry Papers) 2021: 222-229 - [c24]Vanya Bannihatti Kumar, Balaji Ganesan, Muhammed Ameen, Devbrat Sharma, Arvind Agarwal:
Automated Evaluation of GNN Explanations with Neuro Symbolic Reasoning. NeurIPS (Competition and Demos) 2021: 314-318 - [i10]Vanya BK, Balaji Ganesan, Aniket Saxena, Devbrat Sharma, Arvind Agarwal:
Towards Automated Evaluation of Explanations in Graph Neural Networks. CoRR abs/2106.11864 (2021) - 2020
- [c23]Arvind Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta:
Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions. ICPR 2020: 7692-7698 - [c22]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: a supervised deep learning approach to ontology alignment. OM@ISWC 2020: 216-224 - [c21]Balaji Ganesan, Avirup Saha, Jaydeep Sen, Matheen Ahmed Pasha, Sumit Bhatia, Arvind Agarwal:
Anu Question Answering System. ISWC (Demos/Industry) 2020: 394-396 - [i9]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
Multifaceted Context Representation using Dual Attention for Ontology Alignment. CoRR abs/2010.11721 (2020)
2010 – 2019
- 2019
- [j3]Arvind Agarwal, Aparna Gupta, Arun Kumar, Srikanth G. Tamilselvam:
Learning risk culture of banks using news analytics. Eur. J. Oper. Res. 277(2): 770-783 (2019) - [c20]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. EMNLP/IJCNLP (1) 2019: 1980-1989 - [i8]Srikanth G. Tamilselvam, Ankush Gupta, Arvind Agarwal:
Compliance Change Tracking in Business Process Services. CoRR abs/1908.07190 (2019) - 2018
- [c19]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. AAAI 2018: 3440-3447 - [c18]Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai:
A Deep Generative Framework for Paraphrase Generation. AAAI 2018: 5149-5156 - [c17]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
Dialogue-act-driven Conversation Model : An Experimental Study. COLING 2018: 1246-1256 - 2017
- [j2]Arvind Agarwal, Balaji Ganesan, Ankush Gupta, Nitisha Jain, Hima Karanam, Arun Kumar, Nishtha Madaan, Vitobha Munigala, Srikanth Tamilselvam:
Cognitive Compliance for Financial Regulations. IT Prof. 19(4): 28-35 (2017) - [i7]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar:
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. CoRR abs/1709.04250 (2017) - [i6]Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai:
A Deep Generative Framework for Paraphrase Generation. CoRR abs/1709.05074 (2017) - 2016
- [c16]Abhishek Kodilkar, Arvind Agarwal, Kalapureddy MCR, J. S. Pillai:
A preliminary analysis of cloud classification results using Ka-band polarimetric radar signatures. IGARSS 2016: 544-547 - [c15]Arvind Agarwal, J. S. Pillai, K. Aurobindo, J. D. Abhyankar, Giri Isola, Poornima Srivastava, Abhishek Kodilkar:
Monsoon cloud observations using a low power vertical looking Ka Band Cloud radar. IGARSS 2016: 2146-2149 - [c14]Cailing Dong, Arvind Agarwal:
A Relevant Content Filtering Based Framework for Data Stream Summarization. SocInfo (2) 2016: 194-209 - [i5]Cailing Dong, Arvind Agarwal:
A Relevant Content Filtering Based Framework For Data Stream Summarization. CoRR abs/1606.07351 (2016) - 2015
- [c13]Saurabh Kataria, Arvind Agarwal:
Supervised Topic Models for Microblog Classification. ICDM 2015: 793-798 - [c12]Saurabh Kataria, Arvind Agarwal:
Distributed Representations for Content-Based and Personalized Tag Recommendation. ICDM Workshops 2015: 1388-1395 - 2014
- [c11]Arvind Agarwal, Nathan Gnanasambandam:
Efficient Dynamic Methods for Predictive Action Strategy Optimization for Risk Driven Multi-channel Communication. IEEE SCC 2014: 552-559 - [c10]Cailing Dong, Arvind Agarwal:
WS2F: A weakly supervised framework for data stream filtering. IEEE BigData 2014: 50-57 - [c9]Chandrima Sarkar, Sumit Bhatia, Arvind Agarwal, Juan Li:
Feature Analysis for Computational Personality Recognition Using YouTube Personality Data set. WCPR@MM 2014: 11-14 - [i4]Arvind Agarwal, Saurabh Kataria:
Multitask Learning for Sequence Labeling Tasks. CoRR abs/1404.6580 (2014) - 2012
- [b1]Arvind Agarwal:
Geometric Methods in Machine Learning and Data Mining. University of Maryland, College Park, MD, USA, 2012 - [c8]Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan:
Learning to rank for robust question answering. CIKM 2012: 833-842 - [c7]Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian:
Sensor Network Localization for Moving Sensors. ICDM Workshops 2012: 202-209 - 2011
- [c6]Arvind Agarwal, Hal Daumé III:
A Geometric View of Conjugate Priors. IJCAI 2011: 2558-2563 - [c5]Arvind Agarwal, Hal Daumé III:
Generative Kernels for Exponential Families. AISTATS 2011: 85-92 - 2010
- [j1]Arvind Agarwal, Hal Daumé III:
A geometric view of conjugate priors. Mach. Learn. 81(1): 99-113 (2010) - [c4]Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian:
Universal multi-dimensional scaling. KDD 2010: 1149-1158 - [c3]Arvind Agarwal, Hal Daumé III, Samuel Gerber:
Learning Multiple Tasks using Manifold Regularization. NIPS 2010: 46-54 - [i3]Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian:
A Unified Algorithmic Framework for Multi-Dimensional Scaling. CoRR abs/1003.0529 (2010) - [i2]Arvind Agarwal, Hal Daumé III:
Exponential Family Hybrid Semi-Supervised Learning. CoRR abs/1003.0696 (2010) - [i1]Arvind Agarwal, Hal Daumé III:
A Geometric View of Conjugate Priors. CoRR abs/1005.0047 (2010)
2000 – 2009
- 2009
- [c2]Anudeepa S. Kholapure, Arvind Agarwal, Aurobindo K., Shikha Nema:
Design of a Timing Signal Generator (TSG) for RADAR Using FPGA. ICETET 2009: 406-409 - [c1]Arvind Agarwal, Hal Daumé III:
Exponential Family Hybrid Semi-Supervised Learning. IJCAI 2009: 974-979
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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