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Ashwin Kumar
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2020 – today
- 2024
- [c14]Stephen Russell, Fabio Montes Suros, Ashwin Kumar:
Exploiting Machine Learning Bias: Predicting Medical Denials. AAAI Spring Symposia 2024: 58-63 - [c13]Ashwin Kumar, Ajinkya Tanksale, Armaan Chowfin, Mohan Rajasekhar Ajjampudi, Arnav Mishra, Abuhujair Khan, Vishal Saha, Priyanka Naik, Mythili Vutukuru:
Pyramis: Domain Specific Language for Developing Multi-tier Systems. APNet 2024: 156-162 - [c12]Ashwin Kumar, Rajneesh Katkam, Pranav Chaudhary, Priyanka Naik, Mythili Vutukuru:
AppSteer: Framework for Improving Multicore Scalability of Network Functions via Application-aware Packet Steering. CCGrid 2024: 18-27 - [c11]Ashwin Kumar, Abhik Bose, Khushboo Tiwari, Arnav Mishra, Abhishek Dixit, Abuhujair Khan, Mythili Vutukuru:
Feasibility of Application Layer Header Parsing in eBPF and P4. IFIP Networking 2024: 475-481 - [i6]Oren Bell, Ashwin Kumar, Chris Gill:
Host-Based Allocators for Device Memory. CoRR abs/2405.07079 (2024) - [i5]Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - [i4]Yonatan Urman, Zachary Shah, Ashwin Kumar, Bruno P. Soares, Kawin Setsompop:
Accelerating Longitudinal MRI using Prior Informed Latent Diffusion. CoRR abs/2407.00537 (2024) - 2023
- [j5]Balika J. Chelliah, Mohammad Mustafa Malik, Ashwin Kumar, Nitin Singh, Rajan Regin:
Similarity-based optimised and adaptive adversarial attack on image classification using neural network. Int. J. Intell. Eng. Informatics 11(1): 71-95 (2023) - [c10]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. ICAPS 2023: 227-235 - [c9]Ashwin Kumar:
Algorithmic Fairness in Temporal Resource Allocation. AAMAS 2023: 2940-2942 - [c8]Ashwin Kumar:
Enhancing Sentiment Analysis Accuracy in IMDb Movie Reviews with Deep Learning Models: A Comparative Study of RNN and CNN Models. ICCST 2023: 1-9 - [c7]Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). IJCAI 2023: 6985-6989 - [i3]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. CoRR abs/2303.14332 (2023) - [i2]Ruida Zeng, Aadarsh Jha, Ashwin Kumar, Terry Luo:
Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition. CoRR abs/2304.13506 (2023) - [i1]Stylianos Loukas Vasileiou, Ashwin Kumar, William Yeoh, Tran Cao Son, Francesca Toni:
DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions. CoRR abs/2306.14694 (2023) - 2022
- [j4]Stephen Russell, Ashwin Kumar:
Providing Care: Intrinsic Human-Machine Teams and Data. Entropy 24(10): 1369 (2022) - [j3]Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems. J. Artif. Intell. Res. 73: 1473-1534 (2022) - [c6]Ashwin Kumar, Stylianos Loukas Vasileiou, Melanie Bancilhon, Alvitta Ottley, William Yeoh:
VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems. ICAPS 2022: 701-709 - [c5]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching. ATT@IJCAI 2022: 77-90 - [c4]Ashwin Kumar, Simon N. Vandekar, Kurt Schilling, Aashim Bhatia, Bennett A. Landman, Seth A. Smith:
Mapping pediatric spinal cord development with age. Medical Imaging: Image Processing 2022 - 2021
- [c3]Ashwin Kumar, Priyanka Naik, Sahil Patki, Pranav Chaudhary, Mythili Vutukuru:
Evaluating Network Stacks for the Virtualized Mobile Packet Core. APNet 2021: 72-79 - [c2]Tingyan Deng, Shubham Gulati, Ashwin Kumar, William Rodriguez, Benoit M. Dawant, Alexander Langerman:
Automated detection of surgical wounds in videos of open neck procedures using a mask R-CNN. Medical Imaging: Image-Guided Procedures 2021
2010 – 2019
- 2014
- [c1]Ingo Frommholz, David Graves, Haiming Liu, Ashwin Kumar, Gordon Brady:
Great War stories told by the people - Crowdsourced cultural heritage in digital museums. JCDL 2014: 419-420
2000 – 2009
- 2009
- [j2]Ashwin Kumar, Kees A. Schouhamer Immink:
Design of close-to-capacity constrained codes for multi-level optical recording. IEEE Trans. Commun. 57(4): 954-959 (2009) - 2008
- [j1]Ashwin Kumar, Kees A. Schouhamer Immink:
Construction of Capacity Achieving (M, d, infty) Constrained Codes With Least Decoder Window Length. IEEE Trans. Inf. Theory 54(10): 4724-4726 (2008)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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