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Nikos Fazakis

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2017
[j5]
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Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Locally application of naive Bayes for self-training. Evolving Systems 8(1): 3-18 (2017)
[j4]
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Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-Trained Stacking Model for Semi-Supervised Learning. International Journal on Artificial Intelligence Tools 26(2): 1-21 (2017)
[j3]
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Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-trained Rotation Forest for semi-supervised learning. Journal of Intelligent and Fuzzy Systems 32(1): 711-722 (2017)
2016
[j2]
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Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
A Semisupervised Cascade Classification Algorithm. Applied Comp. Int. Soft Computing 2016: 5919717:1-5919717:14 (2016)
[j1]
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Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Self-Trained LMT for Semisupervised Learning. Comp. Int. and Neurosc. 2016: 3057481:1-3057481:13 (2016)
[c6]
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Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA 2016: 1-6
[c5]
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Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas:
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA 2016: 1-6
[c4]
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  - conf/pci/KarlosFKS16
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Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Semi-supervised forecasting of fraudulent financial statements. PCI 2016: 34
[c3]
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Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Speech Recognition Combining MFCCs and Image Features. SPECOM 2016: 651-658
2015
[c2]
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Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Self-Train LogitBoost for Semi-supervised Learning. EANN 2015: 139-148
[c1]
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Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Speaker Identification Using Semi-supervised Learning. SPECOM 2015: 389-396

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