C. Chrysostomou

发表

Complex Resonant Recognition Model in analysing Influenza a virus subtype protein sequences

P. Haris, H. Seker, C. Chrysostomou, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Modelling turbulent premixed flames using convolutional neural networks: application to sub-grid scale variance and filtered reaction rate.

L. Vervisch, Z. Nikolaou, S. Cant, 2018, 1810.07944.

Unsupervised identification of the phase transition on the 2D-Ising model

C. Chrysostomou, A. Athenodorou, C. Alexandrou, 2019, 1903.03506.

First permanent molars with accentuated line patterns: Assessment of childhood health in an urban complex of the fifth millennium before the present.

C. Chrysostomou, K. Lorentz, W. Dirks, 2020, Archives of oral biology.

Use of dental microstructure to investigate the role of prenatal and early life physiological stress in age at death

C. Chrysostomou, C. Chrysostomou, K. Lorentz, 2019, Journal of Archaeological Science.

Structural classification of protein sequences based on signal processing and support vector machines

Huseyin Seker, Charalambos Chrysostomou, H. Seker, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Evidence that DNA repair genes, a family of tumor suppressor genes, are associated with evolution rate and size of genomes

H. Dweep, K. Voskarides, C. Chrysostomou, 2019, Human Genomics.

Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm

María José del Jesús, Cristóbal J. Carmona, Huseyin Seker, 2013, Appl. Soft Comput..

Construction of protein dendrograms based on amino acid indices and Discrete Fourier Transform

Charalambos Chrysostomou, Huseyin Seker, H. Seker, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Characterisation and classification of protein sequences by using enhanced amino acid indices and signal processing-based methods

Charalambos Chrysostomou, C. Chrysostomou, 2013 .

The BioMart community portal: an innovative alternative to large, centralized data repositories

Pietro Liò, Olivier Sallou, Philippe Bardou, 2015, Nucleic Acids Res..

Novel protein weight matrix generated from amino acid indices

Huseyin Seker, Charalambos Chrysostomou, H. Seker, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Signal-processing-based bioinformatics approach for the identification of influenza A virus subtypes in Neuraminidase genes

Huseyin Seker, Charalambos Chrysostomou, H. Seker, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

European Prevention of Alzheimer's Dementia Registry: Recruitment and prescreening approach for a longitudinal cohort and prevention trials

Giovanni B. Frisoni, Anthony J. Brookes, Charalambos Chrysostomou, 2018, Alzheimer's & Dementia.

The critical temperature of the 2D-Ising model through deep learning autoencoders

C. Chrysostomou, A. Athenodorou, C. Alexandrou, 2020, The European Physical Journal B.

Deep convolutional neural networks for generating atomistic configurations of multi-component macromolecules from coarse-grained models.

M. Doxastakis, V. Harmandaris, C. Chrysostomou, 2022, The Journal of chemical physics.

SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network

Loizos Koutsantonis, Christos Lemesios, Charalambos Chrysostomou, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data for Monitoring Historic Clusters in Cypriot Cities

A. Agapiou, V. Lysandrou, P. Fokaides, 2023, Energies.

The sound of proteins

Huseyin Seker, Charalambos Chrysostomou, Lorenzo Picinali, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Ultrasound diaphragmatic manual and semi-automated motion measurements: Application in simulated and in vivo data of critically ill subjects

Giorgos Minas, Constantinos S Pattichis, Christos P Loizou, 2020, Comput. Methods Programs Biomed..

Measurement of ultrasonic diaphragmatic motion

Christos P. Loizou, Constantinos S. Pattichis, Charalambos Chrysostomou, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach

Huseyin Seker, Charalambos Chrysostomou, Harris Partaourides, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views

C. Chrysostomou, Theodoros Christoudias, James Oldfield, 2020, ICPR Workshops.

Prediction of protein allergenicity based on signal-processing bioinformatics approach

Huseyin Seker, Charalambos Chrysostomou, H. Seker, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Sinogram Denoise Based on Generative Adversarial Networks

C. Chrysostomou, 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Construction of protein distance matrix based on amino acid indices and Discrete Fourier Transform

Huseyin Seker, Charalambos Chrysostomou, H. Seker, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

CISAPS: Complex Informational Spectrum for the Analysis of Protein Sequences

Huseyin Seker, Nizamettin Aydin, Charalambos Chrysostomou, 2015, Adv. Bioinformatics.

Extension to distributed annotation system: Summary and summaryplot commands

Anthony J. Brookes, Charalambos Chrysostomou, A. Brookes, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Extension to Distributed Annotation System: Summary command

Anthony J. Brookes, Charalambos Chrysostomou, Robert K. Hastings, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction

C. Papanicolas, C. Chrysostomou, L. Koutsantonis, 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

A Reconstruction Method Based on Deep Convolutional Neural Network for SPECT Imaging

Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Evaluation of a Neural Network-Based Closure for the Unresolved Stresses in Turbulent Premixed V-Flames

Z. M. Nikolaou, L. Vervisch, C. Chrysostomou, 2020, Flow, Turbulence and Combustion.

Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear

Charalambos Chrysostomou, Luc Vervisch, Zacharias M. Nikolaou, 2019, 1904.08167.

Progress Variable Variance and Filtered Rate Modelling Using Convolutional Neural Networks and Flamelet Methods

Charalambos Chrysostomou, Luc Vervisch, Stewart Cant, 2019, Flow, Turbulence and Combustion.

The critical temperature of the 2D-Ising model through deep learning autoencoders

C. Chrysostomou, A. Athenodorou, C. Alexandrou, 2020, The European Physical Journal B.