Georgina Cosma

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with T. Martin McGinnity

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Publications

2023
[j21]
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Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. SN Comput. Sci. 4(6): 832 (2023)
2020
[j13]
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Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing 404: 351-366 (2020)
[j12]
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  - journals/nn/TaherkhaniBLCMM20
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Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity:
A review of learning in biologically plausible spiking neural networks. Neural Networks 122: 253-272 (2020)
[j11]
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Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity:
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. IEEE Trans. Cogn. Dev. Syst. 12(3): 427-438 (2020)
2019
[j10]
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  - journals/access/CosmaM19
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Georgina Cosma, Thomas Martin McGinnity:
Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. IEEE Access 7: 107400-107412 (2019)
[c17]
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  - conf/icann/MachadoCM19
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Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. ICANN (1) 2019: 351-362
[i1]
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  - journals/corr/abs-1909-08288
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Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. CoRR abs/1909.08288 (2019)
2018
[j8]
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  - journals/ijon/TaherkhaniCM18
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Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity:
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing 322: 22-37 (2018)
[c14]
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  - conf/ijcnn/MachadoOCM18
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Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity:
Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. IJCNN 2018: 1-8

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