Stamatis Karlos

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 43

Top Topics

Bankruptcy Prediction

Hand Gesture Recognition

Active Learning

Binary Classification Problems

Top Venues

Publications

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) (2023)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine 137 (2023)
Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN (2022)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops (2021)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME (2021)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR (2021)
Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. 151 (2021)
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 (2020)
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
ETHOS: an Online Hate Speech Detection Dataset. CoRR (2020)
Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
An active learning ensemble method for regression tasks. Intell. Data Anal. 24 (3) (2020)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. Informatics 7 (4) (2020)
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms 13 (1) (2020)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN (2020)
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)
Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained eXtreme Gradient Boosting Trees. IISA (2019)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
Active learning Rotation Forest for multiclass classification. Comput. Intell. 35 (4) (2019)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. 125 (2019)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. 12 (2) (2019)
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) (2019)
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)
Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis
Local weighted Averaged 2-Dependence Estimator. SETN (2018)
Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis
An incremental self-trained ensemble algorithm. EAIS (2018)
Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis
Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM (2018)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
A Semi-supervised regressor based on model trees. SETN (2018)
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis
An incrementally updateable ensemble learner. PCI (2018)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos
Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. 35 (2) (2018)
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis
Active fuzzy rule induction. EAIS (2018)
Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools 26 (2) (2017)
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN (2017)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos
Automated hand gesture recognition exploiting Active Learning methods. PCI (2017)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL (2017)
Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Locally application of naive Bayes for self-training. Evol. Syst. 8 (1) (2017)
Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. PCI (2017)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. 32 (1) (2017)
Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Semi-supervised forecasting of fraudulent financial statements. PCI (2016)
Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Speech Recognition Combining MFCCs and Image Features. SPECOM (2016)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA (2016)
Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis
Automated hand gesture recognition for educational applications. PCI (2016)
Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. 2016 (2016)
Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. 2016 (2016)
Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA (2016)
Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Self-Train LogitBoost for Semi-supervised Learning. EANN (2015)
Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Speaker Identification Using Semi-supervised Learning. SPECOM (2015)