Stamatis Karlos, Postdoctoral Researcher
Stamatis Karlos, Postdoctoral Researcher
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Cited by
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Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
Ethos: an online hate speech detection dataset
I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas
arXiv preprint arXiv:2006.08328, 2020
ETHOS: a multi-label hate speech detection dataset
I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas
Complex & Intelligent Systems 8 (6), 4663-4678, 2022
Uncertainty based under-sampling for learning naive bayes classifiers under imbalanced data sets
CK Aridas, S Karlos, VG Kanas, N Fazakis, SB Kotsiantis
IEEE Access 8, 2122-2133, 2019
A soft-voting ensemble based co-training scheme using static selection for binary classification problems
S Karlos, G Kostopoulos, S Kotsiantis
Algorithms 13 (1), 26, 2020
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 10-10, 2016
Multiview learning for early prognosis of academic performance: a case study
G Kostopoulos, S Karlos, S Kotsiantis
IEEE Transactions on Learning Technologies 12 (2), 212-224, 2019
Predicting and Interpreting Students’ Grades in Distance Higher Education through a Semi-Regression Method
SK Stamatis Karlos, Georgios Kostopoulos
Applied Sciences 10 (23), 8413, 2020
Combination of active learning and semi-supervised learning under a self-training scheme
N Fazakis, VG Kanas, CK Aridas, S Karlos, S Kotsiantis
Entropy 21 (10), 988, 2019
A multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes
S Karlos, C Aridas, VG Kanas, S Kotsiantis
Neural Computing and Applications, 1-18, 2023
Short-term renewable energy forecasting in greece using prophet decomposition and tree-based ensembles
A Vartholomaios, S Karlos, E Kouloumpris, G Tsoumakas
International Conference on Database and Expert Systems Applications, 227-238, 2021
Active learning Rotation Forest for multiclass classification
V Kazllarof, S Karlos, S Kotsiantis
Computational Intelligence 35 (4), 891-918, 2019
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Speech and Computer: 17th International Conference, SPECOM 2015, Athens …, 2015
Self-trained rotation forest for semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Journal of Intelligent & Fuzzy Systems 32 (1), 711-722, 2017
Locally application of naive Bayes for self-training
S Karlos, N Fazakis, AP Panagopoulou, S Kotsiantis, K Sgarbas
Evolving Systems 8, 3-18, 2017
Using active learning methods for predicting fraudulent financial statements
S Karlos, G Kostopoulos, S Kotsiantis, V Tampakas
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Zero-shot classification of biomedical articles with emerging mesh descriptors
N Mylonas, S Karlos, G Tsoumakas
11th hellenic conference on artificial intelligence, 175-184, 2020
Combining active learning with self-train algorithm for classification of multimodal problems
S Karlos, VG Kanas, C Aridas, N Fazakis, S Kotsiantis
2019 10th International Conference on Information, Intelligence, Systems and …, 2019
Self-trained stacking model for semi-supervised learning
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
International journal on artificial intelligence tools 26 (02), 1750001, 2017
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