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Conference and Workshop Papers
- 2024
[c5]Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran:
High Significant Fault Detection in Azure Core Workload Insights. AAAI 2024: 22779-22787- [c4]Pranay Lohia, Badri Narayana Patro, Naveen Panwar, Vijay Agneeswaran:
SPASE: Spatial Saliency Explanation For Time Series Models. ICASSP 2024: 5180-5184 - 2022
- [c3]Binay Gupta, Anirban Chatterjee, Subhadip Paul, Harika Matha, Lalitdutt Parsai, Kunal Banerjee, Vijay Agneeswaran:
Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment. ICAART (3) 2022: 655-662 - [c2]Pranay Dugar, Aditya Vikram, Anirban Chatterjee, Kunal Banerjee, Vijay Agneeswaran:
Don't Miss the Fine Print! An Enhanced Framework to Extract Text from Low Resolution Images. VISIGRAPP (5: VISAPP) 2022: 664-671 - 2020
- [c1]Chandra Mohan Meena, Sarwesh Suman, Vijay Agneeswaran:
Finding Bottleneck in Machine Learning Model Life Cycle. OpML 2020
Informal and Other Publications
- 2024
- [i2]Pranay Lohia, Laurent Boué, Sharath Kumar Rangappa, Vijay Agneeswaran:
High Significant Fault Detection in Azure Core Workload Insights. CoRR abs/2404.09302 (2024) - 2022
- [i1]Vishwas Choudhary, Binay Gupta, Anirban Chatterjee, Subhadip Paul, Kunal Banerjee, Vijay Agneeswaran:
Detecting Concept Drift in the Presence of Sparsity - A Case Study of Automated Change Risk Assessment System. CoRR abs/2207.13287 (2022)
Coauthor Index
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