Self-Train LogitBoost for Semi-supervised Learning. - Stamatis Karlos; Nikos Fazakis; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (EANN, 2015)

Speaker Identification Using Semi-supervised Learning. - Nikos Fazakis; Stamatis Karlos; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (SPECOM, 2015)

Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (IISA, 2016)

Effectiveness of semi-supervised learning in bankruptcy prediction. - Stamatis Karlos; Sotiris Kotsiantis; Nikos Fazakis; Kyriakos N. Sgarbas (IISA, 2016)

Semi-supervised forecasting of fraudulent financial statements. - Stamatis Karlos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos N. Sgarbas (PCI, 2016)

Automated hand gesture recognition for educational applications. - Vangjel Kazllarof; Stamatis Karlos; Angeliki-Panagiota Panagopoulou; Sotiris Kotsiantis (PCI, 2016)

Speech Recognition Combining MFCCs and Image Features. - Stamatis Karlos; Nikos Fazakis; Katerina Karanikola; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (SPECOM, 2016)

A Semisupervised Cascade Classification Algorithm. - Stamatis Karlos; Nikos Fazakis; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (Appl. Comput. Intell. Soft Comput., 2016)

Self-Trained LMT for Semisupervised Learning. - Nikos Fazakis; Stamatis Karlos; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (Comput. Intell. Neurosci., 2016)

Evaluating Active Learning Methods for Bankruptcy Prediction. - Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Vassilis Tampakas (BFAL, 2017)

Using Active Learning Methods for Predicting Fraudulent Financial Statements. - Stamatis Karlos; Georgios Kostopoulos; Sotiris Kotsiantis; Vassilis Tampakas (EANN, 2017)

Automated hand gesture recognition exploiting Active Learning methods. - Vangjel Kazllarof; Stamatis Karlos; Sotiris Kotsiantis; Michalis Xenos (PCI, 2017)

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. - Ioannis E. Livieris; Stamatis Karlos; Vassilis Tampakas; Panagiotis E. Pintelas (PCI, 2017)

Locally application of naive Bayes for self-training. - Stamatis Karlos; Nikos Fazakis; Angeliki-Panagiota Panagopoulou; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Evol. Syst., 2017)

Self-Trained Stacking Model for Semi-Supervised Learning. - Stamatis Karlos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Int. J. Artif. Intell. Tools, 2017)

Self-trained Rotation Forest for semi-supervised learning. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (J. Intell. Fuzzy Syst., 2017)

Active fuzzy rule induction. - Aikaterini Karanikola; Stamatis Karlos; Vangjel Kazllarof; Eirini Kateri; Sotiris Kotsiantis (EAIS, 2018)

An incremental self-trained ensemble algorithm. - Stamatis Karlos; Nikos Fazakis; Konstantinos Kaleris; Vasileios G. Kanas; Sotiris Kotsiantis (EAIS, 2018)

An incrementally updateable ensemble learner. - Aikaterini Karanikola; Stamatis Karlos; Vangjel Kazllarof; Sotiris Kotsiantis (PCI, 2018)

A Semi-supervised regressor based on model trees. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (SETN, 2018)

Local weighted Averaged 2-Dependence Estimator. - Stamatis Karlos; Aikaterini Karanikola; Vangjel Kazllarof; Sotiris Kotsiantis (SETN, 2018)

Optimized Active Learning Strategy for Audiovisual Speaker Recognition. - Stamatis Karlos; Konstantinos Kaleris; Nikos Fazakis; Vasileios G. Kanas; Sotiris Kotsiantis (SPECOM, 2018)

Semi-supervised regression: A recent review. - Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Omiros Ragos (J. Intell. Fuzzy Syst., 2018)

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. - Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Christos K. Aridas; Sotiris Kotsiantis (AIAI, 2019)

Self-trained eXtreme Gradient Boosting Trees. - Nikos Fazakis; Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (IISA, 2019)

Combining Active Learning with Self-train algorithm for classification of multimodal problems. - Stamatis Karlos; Vasileios G. Kanas; Christos K. Aridas; Nikos Fazakis; Sotiris Kotsiantis (IISA, 2019)

Active learning Rotation Forest for multiclass classification. - Vangjel Kazllarof; Stamatis Karlos; Sotiris Kotsiantis (Comput. Intell., 2019)

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. - Nikos Fazakis; Vasileios G. Kanas; Christos K. Aridas; Stamatis Karlos; Sotiris Kotsiantis (Entropy, 2019)

A multi-scheme semi-supervised regression approach. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Pattern Recognit. Lett., 2019)

Multiview Learning for Early Prognosis of Academic Performance: A Case Study. - Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis (IEEE Trans. Learn. Technol., 2019)

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (SETN, 2020)

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. - Christos K. Aridas; Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Sotiris B. Kotsiantis (IEEE Access, 2020)

A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. - Stamatis Karlos; Georgios Kostopoulos; Sotiris Kotsiantis (Algorithms, 2020)

ETHOS: an Online Hate Speech Detection Dataset. - Ioannis Mollas; Zoe Chrysopoulou; Stamatis Karlos; Grigorios Tsoumakas (CoRR, 2020)

An active learning ensemble method for regression tasks. - Nikos Fazakis; Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Intell. Data Anal., 2020)

Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. - Vangjel Kazllarof; Stamatis Karlos; Sotiris Kotsiantis (Informatics, 2020)

Ανάπτυξη μερικώς επιβλεπόμενων αλγορίθμων μηχανικής μάθησης - Stamatis Karlos (2020)

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (AIME, 2021)

Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. - Argyrios S. Vartholomaios; Stamatis Karlos; Eleftherios Kouloumpris; Grigorios Tsoumakas (DEXA Workshops, 2021)

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. - Stamatis Karlos; Nikolaos Mylonas; Grigorios Tsoumakas (Pattern Recognit. Lett., 2021)

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. - Eleftherios Kouloumpris; Athina Konstantinou; Stamatis Karlos; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2022)

Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. - Stamatis Karlos; Christos K. Aridas; Vasileios G. Kanas; Sotiris Kotsiantis (Neural Comput. Appl., 2023)

WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (Artif. Intell. Medicine, 2023)