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Nicoletta Prentzas
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2020 – today
- 2024
- [c8]Chara Skouteli
, Nicoletta Prentzas, Antonis C. Kakas, Constantinos S. Pattichis:
Explainable AI Modeling in the Prediction of Cardiovascular Disease Risk. MIE 2024: 978-982 - 2023
- [c7]Andria Nicolaou
A Comparative Study of Explainable AI models in the Assessment of Multiple Sclerosis. CAIP (2) 2023: 140-148 - [c6]Nicoletta Prentzas:
Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 158-163 - [c5]Nicoletta Prentzas, Constantinos S. Pattichis, Antonis C. Kakas:
Explainable Machine Learning via Argumentation. xAI (3) 2023: 371-398 - [i1]Nicoletta Prentzas, Antonis C. Kakas, Constantinos S. Pattichis:
Explainable AI applications in the Medical Domain: a systematic review. CoRR abs/2308.05411 (2023) - 2022
- [c4]Nicoletta Prentzas
Argumentation-based Explainable Machine Learning (ArgEML): a Real-life Use Case on Gynecological Cancer. ArgML@COMMA 2022: 1-13 - 2021
- [c3]Nicoletta Prentzas
Model Agnostic Explainability Techniques in Ultrasound Image Analysis. BIBE 2021: 1-6 - 2020
- [c2]Kleo G. Achilleos, Stephanos Leandrou, Nicoletta Prentzas, Panayiotis A. Kyriacou, Antonis C. Kakas
Extracting Explainable Assessments of Alzheimer's disease via Machine Learning on brain MRI imaging data. BIBE 2020: 1036-1041
2010 – 2019
- 2019
- [c1]Nicoletta Prentzas
Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction. BIBE 2019: 817-821
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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