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2020 – today
- 2025
[j3]Adam Koletis, Pavlos Bitilis
, Georgios Bouchouras, Konstantinos Kotis:
A Comparative Analysis of Parkinson's Disease Diagnosis Approaches Using Drawing-Based Datasets: Utilizing Large Language Models, Machine Learning, and Fuzzy Ontologies. Inf. 16(9): 820 (2025)- [c5]Eleftherios-Efkleidis Stefanou, Pavlos Bitilis, Konstantinos Kotis:
Current Status, Trends and Challenges in AI-Based Bradykinesia and Tremor Detection on Edge Devices. IISA 2025: 1-4 - 2024
- [j2]Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras, Konstantinos Kotis:
Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks. Inf. 15(2): 100 (2024) - [c4]Georgios Bouchouras, Pavlos Bitilis, Konstantinos Kotis, George A. Vouros:
LLMs for the Engineering of a Parkinson Disease Monitoring and Alerting Ontology. ESWC Workshops 2024 - 2023
- [j1]Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras, Konstantinos Kotis:
Graph Neural Networks for Parkinson's Disease Monitoring and Alerting. Sensors 23(21): 8936 (2023) - [c3]Pavlos Bitilis, Nikolaos Zafeiropoulos, Adam Koletis, Konstantinos Kotis:
Uncovering the Semantics of PD Patients' Movement Data Collected via off-the-shelf Wearables. IISA 2023: 1-8 - [c2]Nikolaos Zafeiropoulos, Pavlos Bitilis, Konstantinos Kotis:
Wear4PDmove: an Ontology for Knowledge-based Personalized Health Monitoring of PD Patients. ISWC (Posters/Demos/Industry) 2023 - 2022
- [c1]Pavlos Bitilis, Niki Chatzipanagiotou:
Digitalizing the Football Experience: A study on Electronic Performance and Tracking Systems (EPTS) from the Perspective of Football Athletes and Training staff. NTSPORT@MobileHCI 2022
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