Privacy against aggregate knowledge attacks. - Olga Gkountouna; Katerina Lepenioti; Manolis Terrovitis (ICDE Workshops, 2013)

Prescriptive Analytics: A Survey of Approaches and Methods. - Katerina Lepenioti; Alexandros Bousdekis; Dimitris Apostolou; Gregoris Mentzas (BIS (Workshops), 2018)

Supporting Conceptual Change with a Game-Like Fraction Tutor. - Despina Lepenioti; Stella Vosniadou; Katerina Lepenioti; Dimitrios Mathioudakis; Christina Aleksandris (IISA, 2018)

A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry. - Alexandros Bousdekis; Katerina Lepenioti; Dimitrios Ntalaperas; Danai Vergeti; Dimitris Apostolou; Vasilis Boursinos (CAiSE Workshops, 2019)

Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing. - Katerina Lepenioti; Minas Pertselakis; Alexandros Bousdekis; Andreas Louca; Fenareti Lampathaki; Dimitris Apostolou; Gregoris Mentzas; Stathis Anastasiou (CAiSE Workshops, 2020)

Streaming Analytics in Edge-Cloud Environment for Logistics Processes. - Moritz von Stietencron; Marco Lewandowski; Katerina Lepenioti; Alexandros Bousdekis; Karl Hribernik; Dimitris Apostolou; Gregoris Mentzas (APMS (2), 2020)

Prescriptive analytics: Literature review and research challenges. - Katerina Lepenioti; Alexandros Bousdekis; Dimitris Apostolou; Gregoris Mentzas (Int. J. Inf. Manag., 2020)

Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference. - Afroditi Fouka; Alexandros Bousdekis; Katerina Lepenioti; Gregoris Mentzas (CAiSE Workshops, 2021)

Data-Driven Collaborative Human-AI Decision Making. - Gregoris Mentzas; Katerina Lepenioti; Alexandros Bousdekis; Dimitris Apostolou (I3E, 2021)

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics. - Alexandros Bousdekis; Stefan Wellsandt; Enrica Bosani; Katerina Lepenioti; Dimitris Apostolou; Karl Hribernik; Gregoris Mentzas (APMS (4), 2021)

Stock Trend Prediction by Fusing Prices and Indices with LSTM Neural Networks. - Vasilis Karlis; Katerina Lepenioti; Alexandros Bousdekis; Gregoris Mentzas (IISA, 2021)

Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning. - Katerina Lepenioti; Alexandros Bousdekis; Dimitris Apostolou; Gregoris Mentzas (IEEE Access, 2021)

An Automated Machine Learning Framework for Predictive Analytics in Quality Control. - Mattheos Fikardos; Katerina Lepenioti; Alexandros Bousdekis; Enrica Bosani; Dimitris Apostolou; Gregoris Mentzas (APMS (1), 2022)

Supporting Data Analytics in Manufacturing with a Digital Assistant. - Stefan Wellsandt; Mina Foosherian; Katerina Lepenioti; Mattheos Fikardos; Gregoris Mentzas; Klaus-Dieter Thoben (APMS (2), 2022)

A Machine Learning Framework for Li-Ion Battery Lifetime Prognostics. - Afroditi Fouka; Katerina Lepenioti; Alexandros Bousdekis; Gregoris Mentzas (IISA, 2022)

Towards logistics 4.0: an edge-cloud software framework for big data analytics in logistics processes. - Moritz von Stietencron; Karl Hribernik; Katerina Lepenioti; Alexandros Bousdekis; Marco Lewandowski; Dimitris Apostolou; Gregoris Mentzas (Int. J. Prod. Res., 2022)

Modelling Data-Driven Digital Twins of EV Batteries for Predictive Analytics. - Afroditi Fouka; Katerina Lepenioti; Alexandros Bousdekis; Gregoris Mentzas (IISA, 2023)

Data analytics in quality 4.0: literature review and future research directions. - Alexandros Bousdekis; Katerina Lepenioti; Dimitris Apostolou; Gregoris Mentzas (Int. J. Comput. Integr. Manuf., 2023)

Human - Data Analytics Interaction Through Voice Assistance in Electric Vehicle's Battery Testing. - Mattheos Fikardos; Alexandros Bousdekis; Umair Haider; George Aristofanous; Katerina Lepenioti; Federica Mandreoli; Stefan Wellsandt; Enrico Taglini; Gregoris Mentzas (APMS (4), 2024)

Degradation Modelling and Prognostics of Rotating Equipment with Automated Machine Learning. - Stefanos Kontos; Alexandros Bousdekis; Katerina Lepenioti; Gregoris Mentzas (ISM, 2024)

State of Charge Prediction of EV Li-ion Batteries with Machine Learning: A Comparative Analysis. - Afroditi Fouka; Alexandros Bousdekis; Katerina Lepenioti; Gregoris Mentzas (SETN, 2024)

Exploring the landscape of trustworthy artificial intelligence: Status and challenges. - Gregoris Mentzas; Mattheos Fikardos; Katerina Lepenioti; Dimitris Apostolou (Intell. Decis. Technol., 2024)

Augmented intelligence with voice assistance and automated machine learning in Industry 5.0. - Alexandros Bousdekis; Mina Foosherian; Mattheos Fikardos; Stefan Wellsandt; Katerina Lepenioti; Enrica Bosani; Gregoris Mentzas; Klaus-Dieter Thoben (Frontiers Artif. Intell., 2025)