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ORCIDGregory Davrazos
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2020 – today
- 2025
[j6]George Raftopoulos
, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis:
A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models. Algorithms 18(7): 435 (2025)- [c11]Gregory Davrazos, Nikos Fazakis, Sotiris Kotsiantis:
Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning. AIAI (3) 2025: 74-86 - [c10]George Raftopoulos, Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Semi-supervised Learning for Early Certification Prediction in MOOCs. AIAI (3) 2025: 300-314 - 2024
- [j5]George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis:
Fair and Transparent Student Admission Prediction Using Machine Learning Models. Algorithms 17(12): 572 (2024) - [c9]Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Enhancing Occupancy Detection Through IoT: A Comparative Analysis of Classifiers. IISA 2024: 1-4 - [c8]Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Enhancing Predictive Maintenance with Interpretable AutoML: A Case Study on Detecting Ball-Bearing Faults Using IoT Data. IISA 2024: 1-4 - [c7]Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Predictive Vigilance: Harnessing Internet of Things and Machine Learning for Smoke Detection. IISA 2024: 1-4 - [c6]Gregory Davrazos, George Raftopoulos, Georgios Kostopoulos, Sotiris Kotsiantis:
Optimizing Service Efficiency: Incoming Call Forecasting Utilizing Smart City Open Data - A Case Study. SETN 2024: 36:1-36:4 - 2023
- [j4]Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis:
Financial sentiment analysis: Classic methods vs. deep learning models. Intell. Decis. Technol. 17(4): 893-915 (2023) - [c5]Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis:
Water Quality Estimation from IoT Sensors Using a Meta-ensemble. AIAI (Workshops) 2023: 393-403 - [c4]Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning. IISA 2023: 1-4 - [c3]Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Android Malware Detection in IoT Mobile Devices using a Meta-ensemble Classifier. IISA 2023: 1-4 - [c2]Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier. IISA 2023: 1-4 - [c1]Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning. IISA 2023: 1-4
2000 – 2009
- 2007
- [j3]Gregory Davrazos, Nick T. Koussoulas:
Modeling and stability analysis of state-switched hybrid systems via Differential Petri Nets. Simul. Model. Pract. Theory 15(8): 879-893 (2007) - 2006
- [j2]Vasileios Deligiannis, Gregory Davrazos, Stamatis Manesis, T. Arampatzis:
Flatness Conservation in the n-trailer System Equipped with a Sliding Kingpin Mechanism. J. Intell. Robotic Syst. 46(2): 151-162 (2006) - 2003
- [j1]Stamatis Manesis, Nick T. Koussoulas, Gregory Davrazos:
On the Suppression of Off-tracking in Multi-articulated Vehicles through a Movable Junction Technique. J. Intell. Robotic Syst. 37(4): 399-414 (2003)
Coauthor Index
aka: Sotiris Kotsiantis
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