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Effrosyni Doutsi
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2020 – today
- 2024
- [c17]Michaela Areti Zervou, Effrosyni Doutsi, Yannis Pantazis, Panagiotis Tsakalides:
Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold. ICASSP 2024: 1836-1840 - 2023
- [c16]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Efficient Protein Structural Class Prediction Via Chaos Game Representation and Recurrent Neural Networks. ICASSP 2023: 1-5 - [i3]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Unleashing the Power of Artificial Intelligence for Personalised Drug Design. ERCIM News 2023(134) (2023) - 2022
- [c15]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks. EUSIPCO 2022: 1228-1232 - [c14]Effrosyni Doutsi, Marc Antonini, Panagiotis Tsakalides:
Retina-Inspired Spatio-Temporal Filtering for Dynamic Video Coding. ICIP 2022: 3321-3325 - [c13]Anastasios Papanastasiou, Effrosyni Doutsi, Michalis E. Zervakis, Panagiotis Tsakalides:
Neuro-inspired Image Compression Architectures. IST 2022: 1-3 - 2021
- [j3]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) - [j2]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Panagiotis Tsakalides:
Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons. IEEE Trans. Image Process. 30: 4305-4315 (2021) - [c12]Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification. EUSIPCO 2021: 1216-1220 - [i2]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retinal-inspired Filtering for Dynamic Image Coding. CoRR abs/2103.11716 (2021) - [i1]Effrosyni Doutsi, Marc Antonini, Panagiotis Tsakalides:
Neuronal Communication Process Opens New Directions in Image and Video Compression Systems. ERCIM News 2021(125) (2021) - 2020
- [c11]Effrosyni Doutsi, Marc Antonini, Panagiotis Tsakalides:
An end-to-end spike-based image compression architecture. ACSSC 2020: 818-820 - [c10]Effrosyni Doutsi, Panagiotis Tsakalides:
Image Compression Based on Neuroscience Models: Rate-Distortion Performance of the Neural Code. DCC 2020: 364 - [c9]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
- [c8]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini:
Efficiency of the bio-inspired Leaky Integrate-and-Fire neuron for signal coding. EUSIPCO 2019: 1-5 - [c7]Effrosyni Doutsi, George Tzagkarakis, Panagiotis Tsakalides:
Neuro-Inspired Compression of RGB Images. EUSIPCO 2019: 1-5 - 2018
- [j1]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retina-Inspired Filter. IEEE Trans. Image Process. 27(7): 3484-3499 (2018) - [c6]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Neuro-Inspired Quantization. ICIP 2018: 689-693 - [c5]Melpomeni Dimopoulou, Effrosyni Doutsi, Marc Antonini:
A Retina-Inspired Encoder: An Innovative Step on Image Coding Using Leaky Integrate-and-Fire Neurons. ICIP 2018: 694-698 - 2016
- [c4]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retina-inspired video codec. PCS 2016: 1-5 - 2015
- [c3]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Event-based coding of still images using a bio-inspired frame. EBCCSP 2015: 1-8 - [c2]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Video analysis and synthesis based on a retinal-inspired frame. EUSIPCO 2015: 2226-2230 - [c1]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retinal-inspired filtering for dynamic image coding. ICIP 2015: 3505-3509
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last updated on 2024-08-06 22:06 CEST by the dblp team
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