Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Agathocleous, Michalis"
Now showing items 1-8 of 8
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Conference Object
Clockwork Recurrent Neural Networks for fast and accurate protein secondary structure prediction
Dimitriou, P.; Agathocleous, Michalis; Christodoulou, Chris; Promponas, Vasilis J. (University of Cyprus, 2018)
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Article
A comparative study on filtering protein secondary structure prediction
Kountouris, P.; Agathocleous, Michalis; Promponas, Vasilis J.; Christodoulou, Georgia; Hadjicostas, S.; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging ...
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Conference Object
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification
Dionysiou, Antreas; Agathocleous, Michalis; Christodoulou, Chris; Promponas, Vasilis (Springer International Publishing, 2018)Trying to extract features from complex sequential data for classification and prediction problems is an extremely difficult task. Deep Machine Learning techniques, such as Convolutional Neural Networks (CNNs), have been ...
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Conference Object
Fast and accurate protein secondary structure prediction using Clockwork Recurrent Neural Networks
Dimitriou, P.; Agathocleous, Michalis; Christodoulou, Chris; Promponas, Vasilis J. (Hellenic Society for Computational Biology and Bioinformatics, 2018)
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Conference Object
A Hybrid Machine Learning Algorithm for Complex Sequential Data Classification, Using a Novel Data Representation Method
Dionysiou, A.; Agathocleous, Michalis; Christodoulou, Chris; Promponas, Vasilis J. (University of Cyprus, 2018)
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Article
Neural networks: The panacea in fraud detection?
Krambia-Kapardis, M.; Christodoulou, Chris C.; Agathocleous, Michalis (2010)Purpose: The purpose of the paper is to test the use of artificial neural networks (ANNs) as a tool in fraud detection. Design/methodology/approach: Following a review of the relevant literature on fraud detection by ...
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Article
Protein secondary structure prediction with bidirectional recurrent neural nets: Can weight updating for each residue enhance performance?
Agathocleous, Michalis; Christodoulou, Georgia; Promponas, Vasilis J.; Christodoulou, Chris C.; Vassiliades, Vassilis; Antoniou, Antonis (2010)Successful protein secondary structure prediction is an important step towards modelling protein 3D structure, with several practical applications. Even though in the last four decades several PSSP algorithms have been ...
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Article
Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm
Agathocleous, Michalis; Christodoulou, Chris C.; Promponas, Vasilis J.; Kountouris, P.; Vassiliades, Vassilis (2016)Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...