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ORCIDStamatis Karlos
- > Home > Persons > Stamatis Karlos
Publications
- 2023
[j16]Stamatis Karlos
, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis:
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. 35(1): 3-20 (2023)- 2020
- [j14]Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis:
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access 8: 2122-2133 (2020) - [j13]Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis:
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms 13(1): 26 (2020) - [j12]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
An active learning ensemble method for regression tasks. Intell. Data Anal. 24(3): 607-623 (2020) - [j11]Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis:
Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. Informatics 7(4): 50 (2020) - 2019
- [j10]Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis:
Active learning Rotation Forest for multiclass classification. Comput. Intell. 35(4): 891-918 (2019) - [j9]Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis:
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy 21(10): 988 (2019) - [j8]Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. 125: 758-765 (2019) - [j7]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis:
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. 12(2): 212-224 (2019) - [c20]Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis:
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI 2019: 37-49 - [c19]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-trained eXtreme Gradient Boosting Trees. IISA 2019: 1-6 - [c18]Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis:
Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA 2019: 1-8 - 2018
- [j6]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos:
Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. 35(2): 1483-1500 (2018) - [c17]Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis:
Active fuzzy rule induction. EAIS 2018: 1-8 - [c16]Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis:
An incremental self-trained ensemble algorithm. EAIS 2018: 1-8 - [c15]Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis:
An incrementally updateable ensemble learner. PCI 2018: 243-248 - [c14]Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
A Semi-supervised regressor based on model trees. SETN 2018: 6:1-6:7 - [c13]Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis:
Local weighted Averaged 2-Dependence Estimator. SETN 2018: 28:1-28:4 - [c12]Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis:
Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM 2018: 281-290 - 2017
- [j5]Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Locally application of naive Bayes for self-training. Evol. Syst. 8(1): 3-18 (2017) - [j4]Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools 26(2): 1750001:1-1750001:21 (2017) - [j3]Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. 32(1): 711-722 (2017) - [c11]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas:
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL 2017: 57-66 - [c10]Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas:
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN 2017: 351-362 - [c9]Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos:
Automated hand gesture recognition exploiting Active Learning methods. PCI 2017: 3:1-3:6 - 2016
- [j2]Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. 2016: 5919717:1-5919717:14 (2016) - [j1]Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. 2016: 3057481:1-3057481:13 (2016) - [c7]Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA 2016: 1-6 - [c6]Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas:
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA 2016: 1-6 - [c5]Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis:
Automated hand gesture recognition for educational applications. PCI 2016: 20 - [c4]Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Semi-supervised forecasting of fraudulent financial statements. PCI 2016: 34 - [c3]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]Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Self-Train LogitBoost for Semi-supervised Learning. EANN 2015: 139-148 - [c1]Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
Speaker Identification Using Semi-supervised Learning. SPECOM 2015: 389-396
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