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Alexandros Bousdekis
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2020 – today
- 2024
- [j14]Savvas Kaftantzis, Alexandros Bousdekis, Georgia Theodoropoulou, Georgios Miaoulis:
Predictive business process monitoring with AutoML for next activity prediction. Intell. Decis. Technol. 18(3): 1965-1980 (2024) - [c30]Alexandros Bousdekis, Gregoris Mentzas, Dimitris Apostolou, Stefan Wellsandt:
Assessing Trustworthy Artificial Intelligence of Voice-Enabled Intelligent Assistants for the Operator 5.0. APMS (2) 2024: 220-234 - [c29]Mattheos Fikardos, Alexandros Bousdekis, Umair Haider, George Aristofanous, Katerina Lepenioti, Federica Mandreoli, Stefan Wellsandt, Enrico Taglini, Gregoris Mentzas:
Human - Data Analytics Interaction Through Voice Assistance in Electric Vehicle's Battery Testing. APMS (4) 2024: 278-292 - 2023
- [j13]Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou
, Gregoris Mentzas:
Data analytics in quality 4.0: literature review and future research directions. Int. J. Comput. Integr. Manuf. 36(5): 678-701 (2023) - [j12]Alexandros Bousdekis, Athanasios Kerasiotis, Silvester Kotsias, Georgia Theodoropoulou
Modelling and Predictive Monitoring of Business Processes under Uncertainty with Reinforcement Learning. Sensors 23(15): 6931 (2023) - [j11]Ilias Merkoureas, Antonia Kaouni, Georgia Theodoropoulou
Smyrida: A web application for process mining and interactive visualization. SoftwareX 22: 101327 (2023) - [c28]Stefan Wellsandt, Mina Foosherian, Alexandros Bousdekis, Bernhard Lutzer, Fotis Paraskevopoulos, Yiannis Verginadis, Gregoris Mentzas:
Fostering Human-AI Collaboration with Digital Intelligent Assistance in Manufacturing SMEs. APMS (1) 2023: 649-661 - [c27]Afroditi Fouka, Katerina Lepenioti, Alexandros Bousdekis, Gregoris Mentzas:
Modelling Data-Driven Digital Twins of EV Batteries for Predictive Analytics. IISA 2023: 1-8 - 2022
- [j10]Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-Dieter Thoben:
Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants. Annu. Rev. Control. 53: 382-390 (2022) - [j9]Moritz von Stietencron
Towards logistics 4.0: an edge-cloud software framework for big data analytics in logistics processes. Int. J. Prod. Res. 60(19): 5994-6012 (2022) - [c26]Mattheos Fikardos
An Automated Machine Learning Framework for Predictive Analytics in Quality Control. APMS (1) 2022: 19-26 - [c25]Alexandros Bousdekis, Gregoris Mentzas, Dimitris Apostolou, Stefan Wellsandt:
Evaluation of AI-Based Digital Assistants in Smart Manufacturing. APMS (2) 2022: 503-510 - [c24]Afroditi Fouka, Katerina Lepenioti, Alexandros Bousdekis, Gregoris Mentzas:
A Machine Learning Framework for Li-Ion Battery Lifetime Prognostics. IISA 2022: 1-8 - [c23]Silvester Kotsias, Athanasios Kerasiotis, Alexandros Bousdekis, Georgia Theodoropoulou, Georgios Miaoulis:
Predictive and Prescriptive Business Process Monitoring with Reinforcement Learning. NiDS 2022: 245-254 - 2021
- [j8]Katerina Lepenioti
Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning. IEEE Access 9: 100677-100693 (2021) - [j7]Alexandros Bousdekis, Gregoris Mentzas:
Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0. Frontiers Big Data 4: 644651 (2021) - [c22]Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas:
Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference. CAiSE Workshops 2021: 155-166 - [c21]Gregoris Mentzas, Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou:
Data-Driven Collaborative Human-AI Decision Making. I3E 2021: 120-131 - [c20]Alexandros Bousdekis, Stefan Wellsandt, Enrica Bosani, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas:
Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics. APMS (4) 2021: 303-310 - [c19]Vasilis Karlis, Katerina Lepenioti, Alexandros Bousdekis, Gregoris Mentzas:
Stock Trend Prediction by Fusing Prices and Indices with LSTM Neural Networks. IISA 2021: 1-7 - [c18]Ioannis Prasidis, Nikolaos-Paraskevas Theodoropoulos, Alexandros Bousdekis, Georgia Theodoropoulou, Georgios Miaoulis:
Handling Uncertainty in Predictive Business Process Monitoring with Bayesian Networks. IISA 2021: 1-8 - [c17]Aimilia Zisimou, Ioanna Kalaitzoglou, Georgia Theodoropoulou, Alexandros Bousdekis, Georgios Miaoulis:
Evaluation of Public Funding Processes by Mining Event Logs. IISA 2021: 1-7 - [c16]Antonia Kaouni, Georgia Theodoropoulou, Alexandros Bousdekis, Athanasios Voulodimos, Georgios Miaoulis:
Visual Analytics in Process Mining for Supporting Business Process Improvement. NiDS 2021: 166-175 - 2020
- [j6]Alexandros Bousdekis
Sensor-Driven Learning of Time-Dependent Parameters for Prescriptive Analytics. IEEE Access 8: 92383-92392 (2020) - [j5]Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Prescriptive analytics: Literature review and research challenges. Int. J. Inf. Manag. 50: 57-70 (2020) - [c15]Katerina Lepenioti, Minas Pertselakis, Alexandros Bousdekis, Andreas Louca, Fenareti Lampathaki
Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing. CAiSE Workshops 2020: 5-16 - [c14]Moritz von Stietencron, Marco Lewandowski, Katerina Lepenioti, Alexandros Bousdekis, Karl Hribernik, Dimitris Apostolou, Gregoris Mentzas:
Streaming Analytics in Edge-Cloud Environment for Logistics Processes. APMS (2) 2020: 245-253 - [c13]Georgia Theodoropoulou, Alexandros Bousdekis, Georgios Miaoulis, Athanasios Voulodimos:
Process Mining for Activities of Daily Living in Smart Homecare. PCI 2020: 197-201 - [c12]Alexandros Bousdekis, Dimitris Kardaras:
Digital Transformation of Local Government: A Case Study from Greece. CBI (2) 2020: 131-140
2010 – 2019
- 2019
- [c11]Alexandros Bousdekis, Katerina Lepenioti, Dimitrios Ntalaperas
A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry. CAiSE Workshops 2019: 95-106 - 2018
- [b1]Alexandros Bousdekis:
Proactive computing in industrial maintenance decision making. National Technical University of Athens, Greece, 2018 - [j4]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Enabling condition-based maintenance decisions with proactive event-driven computing. Comput. Ind. 100: 173-183 (2018) - [j3]Alexandros Bousdekis, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance. J. Intell. Manuf. 29(6): 1303-1316 (2018) - [c10]Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Prescriptive Analytics: A Survey of Approaches and Methods. BIS (Workshops) 2018: 449-460 - [c9]Alexandros Bousdekis, Gregoris Mentzas
A Unified Architecture for Proactive Maintenance in Manufacturing Enterprises. I-ESA 2018: 307-317 - 2017
- [j2]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment. Int. J. Monit. Surveillance Technol. Res. 5(4): 38-62 (2017) - [c8]Alexandros Bousdekis, Gregoris Mentzas
Condition-Based Predictive Maintenance in the Frame of Industry 4.0. APMS (1) 2017: 399-406 - [c7]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection. APMS (1) 2017: 416-424 - [c6]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
An information system for deciding and acting ahead of time in sensing enterprises. IISA 2017: 1-6 - 2016
- [c5]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas:
Continuous Improvement of Proactive Event-driven Decision Making through Sensor-Enabled Feedback (SEF). ICEIS (2) 2016: 166-173 - [c4]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
A probabilistic model for context-aware proactive decision making. IISA 2016: 1-6 - 2015
- [j1]Alexandros Bousdekis, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
A proactive decision making framework for condition-based maintenance. Ind. Manag. Data Syst. 115(7): 1225-1250 (2015) - [c3]Alexandros Bousdekis, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas:
Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing. ICEIS (1) 2015: 487-494 - [c2]Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises. OTM Workshops 2015: 137-146 - 2014
- [c1]Babis Magoutas, Nenad Stojanovic, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas, Ljiljana Stojanovic:
Anticipation-driven Architecture for Proactive Enterprise Decision Making. CAiSE (Forum/Doctoral Consortium) 2014: 121-128
Coauthor Index
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