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Michaela Areti Zervou
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2020 – today
- 2023
- [c6]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Efficient Protein Structural Class Prediction Via Chaos Game Representation and Recurrent Neural Networks. ICASSP 2023: 1-5 - [i1]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Unleashing the Power of Artificial Intelligence for Personalised Drug Design. ERCIM News 2023(134) (2023) - 2022
- [c5]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks. EUSIPCO 2022: 1228-1232 - 2021
- [j1]Michaela Areti Zervou, Effrosyni Doutsi, Pavlos Pavlidis, Panagiotis Tsakalides:
Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs. Bioinform. 37(13): 1796-1804 (2021) - [c4]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification. EUSIPCO 2021: 1216-1220 - 2020
- [c3]Michaela Areti Zervou, Effrosyni Doutsi, Pavlos Pavlidis, Panagiotis Tsakalides:
Efficient Dynamic Analysis of Low-similarity Proteins for Structural Class Prediction. EUSIPCO 2020: 1328-1332
2010 – 2019
- 2019
- [c2]Michaela Areti Zervou, George Tzagkarakis, Panagiotis Tsakalides:
Automated Screening of Dyslexia via Dynamical Recurrence Analysis of Wearable Sensor Data. BIBE 2019: 770-774 - [c1]Michaela Areti Zervou, George Tzagkarakis, Athanasia Panousopoulou, Panagiotis Tsakalides:
A Self-Tuned Architecture for Human Activity Recognition Based on a Dynamical Recurrence Analysis of Wearable Sensor Data. EUSIPCO 2019: 1-5
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