Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Effrosyni Doutsi"'
4
Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs
Autor: Pavlos Pavlidis, Effrosyni Doutsi, Panagiotis Tsakalides, Michaela Areti Zervou
Publikováno v: Bioinformatics. 37:1796-1804
MotivationProtein structure prediction is one of the most significant problems in bioinformatics, as it has a prominent role in understanding the function and evolution of proteins. Designing a computationally efficient but at the same time accurate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40a2232c2609401643a7f6e3019d883
https://doi.org/10.1093/bioinformatics/btab407
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5
Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons
Autor: Marc Antonini, Effrosyni Doutsi, Lionel Fillatre, Panagiotis Tsakalides
Publikováno v: European Signal Processing Conference
This paper introduces a novel coding/decoding mechanism that mimics one of the most important properties of the human visual system: its ability to enhance the visual perception quality in time. In other words, the brain takes advantage of time to pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e653fdf3f26111b509407c5b604ef1
https://doi.org/10.1109/tip.2021.3070193
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8
Efficient Dynamic Analysis of Low-similarity Proteins for Structural Class Prediction
Autor: Pavlos Pavlidis, Panagiotis Tsakalides, Michaela Areti Zervou, Effrosyni Doutsi
Publikováno v: EUSIPCO
Prediction of protein structural classes from amino acid sequences is a challenging problem as it is profitable for analyzing protein function, interactions, and regulation. The majority of existing prediction methods for low-homology sequences utili
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2df08aaecb0f89f07edd1b1de420d528
https://doi.org/10.23919/eusipco47968.2020.9287619
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9
An end-to-end spike-based image compression architecture
Autor: Marc Antonini, Effrosyni Doutsi, Panagiotis Tsakalides
Publikováno v: Asilomar Conference
Asilomar Conference, Nov 2020, Asilomar, United States. pp.818-820
ACSSC
International audience; In this paper, we discover the special properties of neurons in terms of compression. Neurons are able to transform a visual stimulus into a sequence of discrete biphasic events, called spikes trains, forming the neural code.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df1484029eeb0033852cfa48de809e97
https://hal.archives-ouvertes.fr/hal-02908882
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10
Image Compression Based on Neuroscience Models: Rate-Distortion Performance of the Neural Code
Autor: Effrosyni Doutsi, Panagiotis Tsakalides
Publikováno v: DCC
Image compression still remains one of the most challenging scientific fields as it is widely used in almost every kind of application. To design groundbreaking architectures the image processing community concentrated at first on visual perception.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c57d0b3bbe23a461c84e7c633700c09
https://doi.org/10.1109/dcc47342.2020.00089
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