pub test 1

@inproceedings{8852033,

title = {Efficient Learning Rate Adaptation for Convolutional Neural Network Training},

author = {S V Georgakopoulos and V P Plagianakos},

doi = {10.1109/IJCNN.2019.8852033},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 International Joint Conference on Neural Networks (IJCNN)},

pages = {1-8},

keywords = {Neural Networks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2018convolutional,

title = {Convolutional neural networks for toxic comment classification},

author = {Spiros V Georgakopoulos and Sotiris K Tasoulis and Aristidis G Vrahatis and Vassilis P Plagianakos},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 10th hellenic conference on artificial intelligence},

pages = {1--6},

keywords = {Data Mining, Neural Networks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{delibasis2018assessing,

title = {Assessing image analysis filters as augmented input to convolutional neural networks for image classification},

author = {Kostas Delibasis and Ilias Maglogiannis and S Georgakopoulos and Konstantina Kottari and V Plagianakos},

year  = {2018},

date = {2018-01-01},

booktitle = {International Conference on Artificial Neural Networks},

pages = {188--196},

organization = {Springer},

keywords = {Neural Networks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2017novel,

title = {A novel adaptive learning rate algorithm for convolutional neural network training},

author = {Spiros V Georgakopoulos and Vassilis P Plagianakos},

year  = {2017},

date = {2017-01-01},

booktitle = {International Conference on Engineering Applications of Neural Networks},

pages = {327--336},

organization = {Springer},

keywords = {Neural Networks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8852033,

title = {Efficient Learning Rate Adaptation for Convolutional Neural Network Training},

author = {S V Georgakopoulos and V P Plagianakos},

doi = {10.1109/IJCNN.2019.8852033},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 International Joint Conference on Neural Networks (IJCNN)},

pages = {1-8},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2018convolutional,

title = {Convolutional neural networks for toxic comment classification},

author = {Spiros V Georgakopoulos and Sotiris K Tasoulis and Aristidis G Vrahatis and Vassilis P Plagianakos},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 10th hellenic conference on artificial intelligence},

pages = {1--6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{delibasis2018assessing,

title = {Assessing image analysis filters as augmented input to convolutional neural networks for image classification},

author = {Kostas Delibasis and Ilias Maglogiannis and S Georgakopoulos and Konstantina Kottari and V Plagianakos},

year  = {2018},

date = {2018-01-01},

booktitle = {International Conference on Artificial Neural Networks},

pages = {188--196},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2017novel,

title = {A novel adaptive learning rate algorithm for convolutional neural network training},

author = {Spiros V Georgakopoulos and Vassilis P Plagianakos},

year  = {2017},

date = {2017-01-01},

booktitle = {International Conference on Engineering Applications of Neural Networks},

pages = {327--336},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2017detection,

title = {Detection of malignant melanomas in dermoscopic images using convolutional neural network with transfer learning},

author = {Spiros V Georgakopoulos and Konstantina Kottari and Kostas Delibasis and Vassilis P Plagianakos and Ilias Maglogiannis},

year  = {2017},

date = {2017-01-01},

booktitle = {International Conference on Engineering Applications of Neural Networks},

pages = {404--414},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2016weakly,

title = {Weakly-supervised convolutional learning for detection of inflammatory gastrointestinal lesions},

author = {Spiros V Georgakopoulos and Dimitris K Iakovidis and Michael Vasilakakis and Vassilis P Plagianakos and Anastasios Koulaouzidis},

year  = {2016},

date = {2016-01-01},

booktitle = {2016 IEEE international conference on imaging systems and techniques (IST)},

pages = {510--514},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{georgakopoulos2016convolutional,

title = {Convolutional neural networks for pose recognition in binary omni-directional images},

author = {Spiros V Georgakopoulos and Konstantina Kottari and Kostas Delibasis and Vassilis P Plagianakos and Ilias Maglogiannis},

year  = {2016},

date = {2016-01-01},

booktitle = {IFIP International Conference on Artificial Intelligence Applications and Innovations},

pages = {106--116},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pavlidis2006human,

title = {Human designed vs. genetically programmed differential evolution operators},

author = {Nicos G Pavlidis and Vassilis P Plagianakos and Dimitris K Tasoulis and Michael N Vrahatis},

year  = {2006},

date = {2006-01-01},

booktitle = {2006 IEEE International Conference on Evolutionary Computation},

pages = {1880--1886},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{epitropakis2006higher,

title = {Higher-order neural networks training using differential evolution},

author = {MG Epitropakis and VP Plagianakos and MN Vrahatis},

year  = {2006},

date = {2006-01-01},

booktitle = {Int. Conf. of Numerical Analysis and Applied Mathematics, Wiley-VCH, Crete, Greece},

pages = {376--379},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsk,

title = {Spiking neural network training using evolutionary algorithms},

author = {Nicos Pavlidis and O K Tasoulis and V P Plagianakos and George Nikiforidis and Michael Vrahatis},

doi = {10.1109/IJCNN.2005.1556240},

isbn = {0-7803-9048-2},

year  = {2005},

date = {2005-01-01},

pages = {2190 - 2194 vol. 4},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{plagianakos2005computational,

title = {Computational intelligence techniques for acute leukemia gene expression data classification},

author = {VP Plagianakos and DK Tasoulis and MN Vrahatis},

year  = {2005},

date = {2005-01-01},

booktitle = {Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.},

volume = {4},

pages = {2469--2474},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pavlidis2005computational,

title = {Computational intelligence methods for financial forecasting},

author = {NG Pavlidis and DK Tasoulis and VP Plagianakos and C Siriopoulos and MN Vrahatis},

year  = {2005},

date = {2005-01-01},

booktitle = {Proceedings of the International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2005)(ed. TE Simos), Lecture Series on Computer and Computational Sciences},

volume = {4},

pages = {1416--1419},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}