Ajinkya Prabhune

According to our database1, Ajinkya Prabhune authored at least 22 papers between 2015 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

An AI-based Alarm Prediction in Industrial Process Control Systems.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021
BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

Anomaly detection in the time-series data of industrial plants using neural network architectures.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

HTIE: A Hierarchical Task Identification Framework for E-mails.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

Shotifier: A Binary Shot Conversion Classifier Pipeline for Football Forwards.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

I-Mouse: A Framework for Player Assistance in Adaptive Serious Games.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
EnFVe: An Ensemble Fact Verification Pipeline.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

User Assistance for Serious Games Using Hidden Markov Model.
Proceedings of the Addressing Global Challenges and Quality Education, 2020

Classifying Cognitive Load for a Proactive In-car Voice Assistant.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

DWreck: A Data Wrecker Framework for Generating Unclean Datasets.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

2019
The MASi repository service - Comprehensive, metadata-driven and multi-community research data management.
Future Gener. Comput. Syst., 2019

FIF: A NLP-based Feature Identification Framework for Data Warehouses.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

2018
Generic and adaptive metadata management framework for scientific data repositories.
PhD thesis, 2018

P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces.
Distributed Parallel Databases, 2018

MetaStore: an adaptive metadata management framework for heterogeneous metadata models.
Distributed Parallel Databases, 2018

2017
Towards a metadata-driven multi-community research data management service.
PeerJ Prepr., 2017

Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs.
Proceedings of the Provenance and Annotation of Data and Processes, 2016

MetaStore: A metadata framework for scientific data repositories.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Software workflow for the automatic tagging of medieval manuscript images (SWATI).
Proceedings of the Document Recognition and Retrieval XXII, 2015

An Optimized Generic Client Service API for Managing Large Datasets within a Data Repository.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015


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