Prerna Agarwal

Orcid: 0000-0003-4439-0082

According to our database1, Prerna Agarwal authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Business Process Observability.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning.
CoRR, 2022

A Process-Aware Decision Support System for Business Processes.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Detecting COVID using CNN from Chest X-Beams.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

Methodology to test Optimal Encryption Algorithms for IoT Applications.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2021
Graph Autoencoders for Business Process Anomaly Detection.
Proceedings of the Business Process Management - 19th International Conference, 2021

2020
Unsupervised Contextual State Representation for Improved Business Process Models.
Proceedings of the Business Process Management Workshops, 2020

Analyzing Comments in Ticket Resolution to Capture Underlying Process Interactions.
Proceedings of the Business Process Management Workshops, 2020

2019
Radial Loss for Learning Fine-grained Video Similarity Metric.
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Convolutional Neural Networks with Deep Part Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2019

Counterfactual Reasoning for Process Optimization Using Structural Causal Models.
Proceedings of the Business Process Management Forum, 2019

2018
Indian Regional Movie Dataset for Recommender Systems.
CoRR, 2018

DyPerm: Maximizing Permanence for Dynamic Community Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Issues and challenges of data security in a cloud computing environment.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Situated Tangible Robot Programming.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016
Discovering Spatial Regions of High Correlation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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