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ORCIDSiddharth Agarwal
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2020 – today
- 2024
[j6]Siddharth Agarwal
, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions. IEEE Trans. Serv. Comput. 17(5): 1899-1910 (2024)- [c14]Johnson Umeike, Siddharth Agarwal, Nikita Lazarev, Mohammad Alian:
Userspace Networking in gem5. ISPASS 2024: 179-191 - [c13]Siddharth Agarwal, Gaël Pillonnet, Hongyu Lu, Nader Sherif Kassem Fathy, Patrick P. Mercier:
A Current-Source-Free Constant-Current Wireless Adiabatic Neural Stimulator Achieving a 5.5-27.7x Improved RF-to-Electrode Stimulation Efficiency Factor. VLSI Technology and Circuits 2024: 1-2 - [i17]Thirumalaesh Ashokkumar, Katherine A. Skinner, Siddharth Agarwal, Ankit Vora, Ashutosh Bhown:
A Detection and Filtering Framework for Collaborative Localization. CoRR abs/2403.05513 (2024) - [i16]David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
A self-supervised text-vision framework for automated brain abnormality detection. CoRR abs/2405.02782 (2024) - [i15]Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth:
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? CoRR abs/2405.05647 (2024) - [i14]Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth:
Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. CoRR abs/2405.05658 (2024) - [i13]Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya:
Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions. CoRR abs/2411.07444 (2024) - [i12]Karan Daga, Siddharth Agarwal, Zaeem Moti, Matthew BK Lee, Munaib Din, David Wood, Marc Modat, Thomas C. Booth:
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review. CoRR abs/2412.04749 (2024) - [i11]Vishnu Teja Kunde, Jean-François Chamberland, Siddharth Agarwal:
Camera-Based Localization and Enhanced Normalized Mutual Information. CoRR abs/2412.16137 (2024) - 2023
- [c12]Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung Ho Ahn, Tianyin Xu, Nam Sung Kim:
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. MICRO 2023: 105-121 - [i10]Mayank Deshpande, Siddharth Agarwal, Vukka Snigdha, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. CoRR abs/2301.02790 (2023) - [i9]Siddharth Agarwal, Minwoo Lee, Ren Wang, Mohammad Alian:
Enabling Kernel Bypass Networking on gem5. CoRR abs/2301.09470 (2023) - [i8]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions. CoRR abs/2308.05937 (2023) - [i7]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing. CoRR abs/2308.07541 (2023) - 2022
- [j5]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Deep learning models for triaging hospital head MRI examinations. Medical Image Anal. 78: 102391 (2022) - [j4]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Accurate brain-age models for routine clinical MRI examinations. NeuroImage 249: 118871 (2022) - [c11]Mohammad Alian, Siddharth Agarwal, Jongmin Shin, Neel Patel, Yifan Yuan, Daehoon Kim, Ren Wang, Nam Sung Kim:
IDIO: Network-Driven, Inbound Network Data Orchestration on Server Processors. MICRO 2022: 480-493 - [c10]Mayank Deshpande, Siddharth Agarwal, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. SSCI 2022: 1172-1179 - 2021
- [c9]Siddharth Agarwal, Maria Alejandra Rodriguez, Rajkumar Buyya:
A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency. CCGRID 2021: 797-803 - [c8]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. MIDL 2021: 813-841 - [i6]Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty:
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization. CoRR abs/2101.09569 (2021) - [i5]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. CoRR abs/2106.08176 (2021) - 2020
- [j3]Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James R. McBride:
Ford Multi-AV Seasonal Dataset. Int. J. Robotics Res. 39(12) (2020) - [i4]Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James R. McBride:
Ford Multi-AV Seasonal Dataset. CoRR abs/2003.07969 (2020) - [i3]Ankit Vora, Siddharth Agarwal, Gaurav Pandey, James R. McBride:
Aerial Imagery based LIDAR Localization for Autonomous Vehicles. CoRR abs/2003.11192 (2020)
2010 – 2019
- 2019
- [c7]Samuel Todd Flanagan, Drupad K. Khublani, Jean-François Chamberland, Siddharth Agarwal, Ankit Vora:
Localization in Autonomous Vehicles Using a Generalized Inner Product. GlobalSIP 2019: 1-5 - [c6]Siddharth Agarwal, Ashis Maity:
A 10-MHz Current-Mode Fixed-Frequency Hysteretic Controlled DC-DC Converter With Fast Transient Response. MWSCAS 2019: 945-948 - [i2]Tyler G. R. Reid, Sarah E. Houts, Robert Cammarata, Graham Mills, Siddharth Agarwal, Ankit Vora, Gaurav Pandey:
Localization Requirements for Autonomous Vehicles. CoRR abs/1906.01061 (2019) - 2018
- [j2]Juan Castorena, Siddharth Agarwal:
Ground-Edge-Based LIDAR Localization Without a Reflectivity Calibration for Autonomous Driving. IEEE Robotics Autom. Lett. 3(1): 344-351 (2018) - [c5]Prasanna Vijayanathan, Ritesh Maheshwari, Rahul Malik, Shen Zhang, Siddharth Agarwal, Anant Rao, Goksel Genc:
Characterizing Emerging Markets: An Evaluation of TCP congestion control with real internet traffic over HTTP2. ICNC 2018: 122-126 - 2017
- [i1]Juan Castorena, Siddharth Agarwal:
Ground Edge based LIDAR Localization without a Reflectivity Calibration for Autonomous Driving. CoRR abs/1710.02192 (2017) - 2015
- [c4]Anand Gupta, Devendra Tiwari, Siddharth Agarwal, Monal Jain:
Fuzzy Based Support System for Melanoma Diagnosis. MIKE 2015: 235-246 - [c3]Siddharth Agarwal, Harish Karnick, Nirmal Pant, Urvesh Patel:
Genre and Style Based Painting Classification. WACV 2015: 588-594 - 2014
- [c2]Siddharth Agarwal, Robin R. Murphy, Julie A. Adams:
Characteristics of indoor disaster environments for small UASs. SSRR 2014: 1-6 - 2013
- [c1]Siddharth Agarwal, Amey Karkare:
Functional SMT solving with Z3 and racket. FormaliSE@ICSE 2013: 15-21 - 2012
- [j1]Siddharth Agarwal, Abhinav Rungta, R. Padmavathy, Mayank Shankar, Nipun Rajan:
An Improved Fast and Secure Hash Algorithm. J. Inf. Process. Syst. 8(1): 119-132 (2012)
Coauthor Index
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