AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
- Santosh Palaskar
- Vijay E
- et al.
- 2024
- IAAI 2024
Avirup Saha
Overview
Pronouns
He/Him/His
Title
Research Scientist
Location
IBM Research - India
Bengaluru, India
Bio
Avirup Saha graduated with a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur. His Ph.D. thesis was on temporal point processes and graph-based semi-supervised learning. He currently works in the field of AI for Automation.
Publications
Towards Business Process Observability
- Avirup Saha
- Prerna Agarwal
- et al.
- 2024
- CODS-COMAD 2024
Forecasting the Impact of Anomalous Events on Business Process Performance
- Avirup Saha
- Sambit Ghosh
- et al.
- 2024
- CODS-COMAD 2024
Predicting Business Process Events in Presence of Anomalous IT Events
- Avani Gupta
- Avirup Saha
- et al.
- 2024
- CODS-COMAD 2024
Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior
- 2023
- CODS-COMAD 2023
Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior
- 2021
- KDD 2021
Anu question answering system
- Balaji Ganesan
- Avirup Saha
- et al.
- 2020
- ISWC-Posters 2020
Top collaborators
NG
Neelamadhav Gantayat
Senior Research Software Engineer
RS
Renuka Sindhgatta
STSM, AI for Business Process Automation
BG
Balaji Ganesan
Senior Research Engineer
PD
Pankaj Dayama
Senior Technical Staff Member & Manager, AI for Industry 4.0, Master Inventor