Alexandros Bousdekis

Orcid: 0000-0003-4439-303X

According to our database1, Alexandros Bousdekis authored at least 47 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Predictive business process monitoring with AutoML for next activity prediction.
Intell. Decis. Technol., 2024

State of Charge Prediction of EV Li-ion Batteries with Machine Learning: A Comparative Analysis.
Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

Remaining Cycle Time Prediction in Business Processes with TPOT Regression for Automated Machine Learning.
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024

Human - Data Analytics Interaction Through Voice Assistance in Electric Vehicle's Battery Testing.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024

Assessing Trustworthy Artificial Intelligence of Voice-Enabled Intelligent Assistants for the Operator 5.0.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024

2023
Modelling and Predictive Monitoring of Business Processes under Uncertainty with Reinforcement Learning.
Sensors, August, 2023

Smyrida: A web application for process mining and interactive visualization.
SoftwareX, May, 2023

Data analytics in quality 4.0: literature review and future research directions.
Int. J. Comput. Integr. Manuf., May, 2023

Modelling Data-Driven Digital Twins of EV Batteries for Predictive Analytics.
Proceedings of the 14th International Conference on Information, 2023

Fostering Human-AI Collaboration with Digital Intelligent Assistance in Manufacturing SMEs.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023

2022
Towards logistics 4.0: an edge-cloud software framework for big data analytics in logistics processes.
Int. J. Prod. Res., 2022

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants.
Annu. Rev. Control., 2022

Predictive and Prescriptive Business Process Monitoring with Reinforcement Learning.
Proceedings of the Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference, 2022

A Machine Learning Framework for Li-Ion Battery Lifetime Prognostics.
Proceedings of the 13th International Conference on Information, 2022

An Automated Machine Learning Framework for Predictive Analytics in Quality Control.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

Evaluation of AI-Based Digital Assistants in Smart Manufacturing.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

2021
Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0.
Frontiers Big Data, 2021

Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning.
IEEE Access, 2021

Visual Analytics in Process Mining for Supporting Business Process Improvement.
Proceedings of the Novelties in Intelligent Digital Systems - Proceedings of the 1st International Conference (NiDS 2021), Athens, Greece, September 30, 2021

Evaluation of Public Funding Processes by Mining Event Logs.
Proceedings of the 12th International Conference on Information, 2021

Handling Uncertainty in Predictive Business Process Monitoring with Bayesian Networks.
Proceedings of the 12th International Conference on Information, 2021

Stock Trend Prediction by Fusing Prices and Indices with LSTM Neural Networks.
Proceedings of the 12th International Conference on Information, 2021

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

Data-Driven Collaborative Human-AI Decision Making.
Proceedings of the Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021

Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference.
Proceedings of the Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28, 2021

2020
Prescriptive analytics: Literature review and research challenges.
Int. J. Inf. Manag., 2020

Sensor-Driven Learning of Time-Dependent Parameters for Prescriptive Analytics.
IEEE Access, 2020

Digital Transformation of Local Government: A Case Study from Greece.
Proceedings of the 22nd IEEE Conference on Business Informatics, 2020

Process Mining for Activities of Daily Living in Smart Homecare.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Streaming Analytics in Edge-Cloud Environment for Logistics Processes.
Proceedings of the Advances in Production Management Systems. Towards Smart and Digital Manufacturing, 2020

Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing.
Proceedings of the Advanced Information Systems Engineering Workshops, 2020

2019
A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry.
Proceedings of the Advanced Information Systems Engineering Workshops, 2019

2018
Proactive computing in industrial maintenance decision making
PhD thesis, 2018

Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance.
J. Intell. Manuf., 2018

Enabling condition-based maintenance decisions with proactive event-driven computing.
Comput. Ind., 2018

A Unified Architecture for Proactive Maintenance in Manufacturing Enterprises.
Proceedings of the Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability, 2018

Prescriptive Analytics: A Survey of Approaches and Methods.
Proceedings of the Business Information Systems Workshops, 2018

2017
Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment.
Int. J. Monit. Surveillance Technol. Res., 2017

An information system for deciding and acting ahead of time in sensing enterprises.
Proceedings of the 8th International Conference on Information, 2017

A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection.
Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

Condition-Based Predictive Maintenance in the Frame of Industry 4.0.
Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

2016
A probabilistic model for context-aware proactive decision making.
Proceedings of the 7th International Conference on Information, 2016

Continuous Improvement of Proactive Event-driven Decision Making through Sensor-Enabled Feedback (SEF).
Proceedings of the ICEIS 2016, 2016

2015
A proactive decision making framework for condition-based maintenance.
Ind. Manag. Data Syst., 2015

A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Workshops, 2015

Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing.
Proceedings of the ICEIS 2015, 2015

2014
Anticipation-driven Architecture for Proactive Enterprise Decision Making.
Proceedings of the Joint Proceedings of the CAiSE 2014 Forum and CAiSE 2014 Doctoral Consortium co-located with the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), 2014


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