Stamatis Karlos

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Using Semi-Supervised Learning Methods for Credit Score Problem

S. Kotsiantis, Vasileios Papastefanopoulos, Stamatis Karlos, 2022 .

ETHOS: a multi-label hate speech detection dataset pdf

Grigorios Tsoumakas, Stamatis Karlos, Ioannis Mollas, 2020, Complex & Intelligent Systems.

Predicting and Interpreting Students’ Grades in Distance Higher Education through a Semi-Regression Method

S. Kotsiantis, Stamatis Karlos, Georgios Kostopoulos, 2020, Applied Sciences.

Semi-supervised regression: A recent review

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, 2018, J. Intell. Fuzzy Syst..

An incrementally updateable ensemble learner

Stamatis Karlos, Sotiris Kotsiantis, Aikaterini Karanikola, 2018, PCI.

A Semi-supervised regressor based on model trees

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2018, SETN.

An incremental self-trained ensemble algorithm

Nikos Fazakis, Vasileios G. Kanas, Stamatis Karlos, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes

Sotiris Kotsiantis, Vasileios G. Kanas, Stamatis Karlos, 2021, Neural Computing and Applications.

Active learning Rotation Forest for multiclass classification

Sotiris Kotsiantis, Stamatis Karlos, Vangjel Kazllarof, 2019, Comput. Intell..

Active fuzzy rule induction

Stamatis Karlos, Sotiris Kotsiantis, Aikaterini Karanikola, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Self-Trained LMT for Semisupervised Learning

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2015, Comput. Intell. Neurosci..

Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles

Grigorios Tsoumakas, Stamatis Karlos, Argyrios Vartholomaios, 2021, DEXA Workshops.

ETHOS: a multi-label hate speech detection dataset

Grigorios Tsoumakas, Stamatis Karlos, Ioannis Mollas, 2020, Complex & Intelligent Systems.

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets

Sotiris B. Kotsiantis, Nikos Fazakis, Vasileios G. Kanas, 2020, IEEE Access.

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme

Nikos Fazakis, Vasileios G. Kanas, Stamatis Karlos, 2019, Entropy.

A multi-scheme semi-supervised regression approach

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2019, Pattern Recognit. Lett..

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity

Grigorios Tsoumakas, I. Vlahavas, Stamatis Karlos, 2022, Hellenic Conference on Artificial Intelligence.

A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, 2020, Algorithms.

WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors

Grigorios Tsoumakas, Nikolaos Mylonas, Stamatis Karlos, 2023, Artif. Intell. Medicine.

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2021, AIME.

Multiview Learning for Early Prognosis of Academic Performance: A Case Study

Georgios Kostopoulos, Sotiris Kotsiantis, Stamatis Karlos, 2019, IEEE Transactions on Learning Technologies.

Effectiveness of semi-supervised learning in bankruptcy prediction

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme

Nikos Fazakis, Vasileios G. Kanas, Stamatis Karlos, 2019, AIAI.

Automated hand gesture recognition for educational applications

Stamatis Karlos, Sotiris Kotsiantis, Vangjel Kazllarof, 2016, PCI.

Self-Trained Stacking Model for Semi-Supervised Learning

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2017, Int. J. Artif. Intell. Tools.

Speaker Identification Using Semi-supervised Learning

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2015, SPECOM.

Combining Active Learning with Self-train algorithm for classification of multimodal problems

Nikos Fazakis, Sotiris Kotsiantis, Vasileios G. Kanas, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

ETHOS: a multi-label hate speech detection dataset

Grigorios Tsoumakas, Stamatis Karlos, Ioannis Mollas, 2020, Complex & Intelligent Systems.

A Semisupervised Cascade Classification Algorithm

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2016, Appl. Comput. Intell. Soft Comput..