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Journal Articles
- 2021
[j5]Sangeeta Srivastava
, Ashwani Varshney, Supriya Katyal, Ravneet Kaur, Vibha Gaur:
A smart learning assistance tool for inclusive education. J. Intell. Fuzzy Syst. 40(6): 11981-11994 (2021)- [j4]Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora:
One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks 17(2): 12:1-12:27 (2021) - 2017
- [j3]Shailey Chawla, Sangeeta Srivastava, Punam Bedi:
Improving the quality of web applications with web specific goal driven requirements engineering. Int. J. Syst. Assur. Eng. Manag. 8(1s): 65-77 (2017) - 2016
- [j2]Shailey Chawla, Sangeeta Srivastava, Punam Bedi:
Goals and scenarios based web requirements engineering. Comput. Syst. Sci. Eng. 31(1) (2016) - 2014
- [j1]Shailey Chawla, Sangeeta Srivastava, Punam Bedi:
Evaluation of web-specific goal oriented requirements language models with quantitative reasoning. ACM SIGSOFT Softw. Eng. Notes 39(2): 1-9 (2014)
Conference and Workshop Papers
- 2022
- [c10]Sangeeta Srivastava, Ho-Hsiang Wu, João Rulff, Magdalena Fuentes, Mark Cartwright, Cláudio T. Silva, Anish Arora, Juan Pablo Bello:
A Study on Robustness to Perturbations for Representations of Environmental Sound. EUSIPCO 2022: 125-129 - [c9]Sangeeta Srivastava, Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf:
Conformer-Based Self-Supervised Learning For Non-Speech Audio Tasks. ICASSP 2022: 8862-8866 - [c8]Jihoon Yun, Sangeeta Srivastava, Dhrubojyoti Roy, Nathan Stohs, Charlie Mydlarz, Mahin Salman, Bea Steers, Juan Pablo Bello, Anish Arora:
Infrastructure-free, Deep Learned Urban Noise Monitoring at ~100mW. ICCPS 2022: 56-67 - 2021
- [c7]Sangeeta Srivastava, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, Anish Arora:
Specialized Embedding Approximation for Edge Intelligence: A Case Study in Urban Sound Classification. ICASSP 2021: 8378-8382 - 2019
- [c6]Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora:
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys@SenSys 2019: 1-10 - [c5]Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora:
Lightweight, Deep RNNs for Radar Classification. BuildSys@SenSys 2019: 360-361 - 2012
- [c4]Shailey Chawla, Sangeeta Srivastava:
A Requirements Analysis Approach for Web Engineering. SPIT 2012: 154-159 - 2011
- [c3]Shailey Chawla, Sangeeta Srivastava, Punam Bedi:
GOREWEB Framework for Goal Oriented Requirements Engineering of Web Applications. IC3 2011: 229-241 - 2010
- [c2]Sangeeta Srivastava, Shailey Chawla:
Multifaceted Classification of Websites for Goal Oriented Requirement Engineering. IC3 (1) 2010: 479-485 - 2002
- [c1]Naveen Prakash, Sangeeta Srivastava:
Engineering Methods for Schema Transformation: Application to XML. Engineering Information Systems in the Internet Context 2002: 153-176
Informal and Other Publications
- 2024
- [i6]Anfeng Xu, Biqiao Zhang, Shuyu Kong, Yiteng Huang, Zhaojun Yang, Sangeeta Srivastava, Ming Sun:
Effective Integration of KAN for Keyword Spotting. CoRR abs/2409.08605 (2024) - 2022
- [i5]Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora:
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. CoRR abs/2202.05994 (2022) - [i4]Jihoon Yun, Sangeeta Srivastava, Dhrubojyoti Roy, Nathan Stohs, Charlie Mydlarz, Mahin Salman, Bea Steers, Juan Pablo Bello, Anish Arora:
Infrastructure-free, Deep Learned Urban Noise Monitoring at ~100mW. CoRR abs/2203.06220 (2022) - [i3]Sangeeta Srivastava, Ho-Hsiang Wu, João Rulff, Magdalena Fuentes, Mark Cartwright, Cláudio T. Silva, Anish Arora, Juan Pablo Bello:
A Study on Robustness to Perturbations for Representations of Environmental Sound. CoRR abs/2203.10425 (2022) - 2021
- [i2]Sangeeta Srivastava, Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf:
Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks. CoRR abs/2110.07313 (2021) - 2019
- [i1]Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora:
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. CoRR abs/1909.03082 (2019)
Coauthor Index
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