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ORCIDJatin Prakash
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Journal Articles
- 2024
[j5]Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar:
Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder. J. Comput. Inf. Sci. Eng. 24(7) (2024)- 2023
- [j4]Nagendra Singh Ranawat
, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar:
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump. Eng. Appl. Artif. Intell. 122: 106092 (2023) - [j3]Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar:
Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers. J. Comput. Inf. Sci. Eng. 23(4) (2023) - [j2]Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar:
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models. J. Comput. Inf. Sci. Eng. 23(5) (2023) - 2021
- [j1]Jatin Prakash, Pavan Kumar Kankar, Ankur Miglani:
Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions. J. Comput. Inf. Sci. Eng. 21(6) (2021)
Conference and Workshop Papers
- 2024
- [c4]Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma:
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. ICLR 2024 - 2023
- [c3]Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma:
Renee: End-To-End Training of Extreme Classification Models. MLSys 2023 - 2022
- [c2]Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora:
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. CVPR 2022: 16060-16069 - [c1]Ramya Hebbalaguppe, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora:
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions. ECML/PKDD (3) 2022: 529-545
Informal and Other Publications
- 2024
- [i3]Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma:
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR abs/2408.09585 (2024) - 2022
- [i2]Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora:
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. CoRR abs/2203.13834 (2022) - [i1]Ramya S. Hebbalaguppe, Soumya Suvra Goshal, Jatin Prakash, Harshad Khadilkar, Chetan Arora:
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions. CoRR abs/2207.13916 (2022)
Coauthor Index
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