Stamatis Karlos, Postdoctoral Researcher

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Sotiris KotsiantisAssociate Professor, Department of Mathematics, University of Patras, GreeceVerified email at math.upatras.gr
Nikos FazakisUniversity of PatrasVerified email at fazakis.gr
Kyriakos Sgarbas (Κυριάκος Σγάρμπας)Assoc. Professor, Dept. of Electrical & Computer Engineering, University of Patras, Hellas (Greece)Verified email at upatras.gr
Dr. Georgios KostopoulosHellenic Open University, University of Patras-Department of Mathematics, ESDLab, GreeceVerified email at sch.gr
Grigorios TsoumakasAristotle University of ThessalonikiVerified email at csd.auth.gr
Vasileios G. KanasUniversity of PatrasVerified email at upatras.gr
Christos K. AridasComputational Intelligence Laboratory, Department of Mathematics, University of Patras, GreeceVerified email at upatras.gr
Vangjel KazllarofVerified email at upatras.gr
Ioannis MollasAristotle University of Thessaloniki, School of InformaticsVerified email at csd.auth.gr
Omiros RagosDepartment of Mathematics, University of Patras, GreeceVerified email at math.upatras.gr
Vasilis TampakasProfessor, Department of Electrical and Computer Engineering, University of PeloponnesusVerified email at uop.gr
Aikaterini KaranikolaPhD Student, University of PatrasVerified email at upatras.gr
Terpinas StergiosUndergraduate Student at Electrical and Computer Engineering, University of PatrasVerified email at upnet.gr
Gavriil KamarisPhD candidate, University of Patras, GreeceVerified email at upatras.gr
Dimitris KoutsaidisR&D Engineer / ECE GraduateVerified email at upnet.gr
Eirini KateriPhD student, ECS, University of Southampton, UKVerified email at soton.ac.uk
Michalis XenosProfessor of Computer Science, Computer Enginnering and Informatics Department, Patras UniversityVerified email at ceid.upatras.gr
Vasilis PapastefanopoulosUniversity of PatrasVerified email at upatras.gr
Nikolaos MylonasPostdoctoral Researcher, Information Technologies Institute, CERTHVerified email at iti.gr

Stamatis Karlos, Postdoctoral Researcher

School of Informatics, Aristotle University of Thessaloniki

Verified email at csd.auth.gr - Homepage

Machine Learning Supervised Learning (SL)Partially/Semi-SL Active Learning Ensemble Learners


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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	156	2018
ETHOS: a multi-label hate speech detection dataset I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas Complex & Intelligent Systems 8 (6), 4663-4678, 2022	99	2022
Ethos: an online hate speech detection dataset I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas arXiv preprint arXiv:2006.08328, 2020	93	2020
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	70	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	62	2020
Self‐Trained LMT for Semisupervised Learning N Fazakis, S Karlos, S Kotsiantis, K Sgarbas Computational intelligence and neuroscience 2016 (1), 3057481, 2016	44	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	41	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	40	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	21	2019
A multi-scheme semi-supervised regression approach N Fazakis, S Karlos, S Kotsiantis, K Sgarbas Pattern Recognition Letters 125, 758-765, 2019	20	2019
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	15	2021
Active learning Rotation Forest for multiclass classification V Kazllarof, S Karlos, S Kotsiantis Computational Intelligence 35 (4), 891-918, 2019	15	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	14	2023
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	14	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	13	2015
Locally application of naive Bayes for self-training S Karlos, N Fazakis, AP Panagopoulou, S Kotsiantis, K Sgarbas Evolving Systems 8, 3-18, 2017	12	2017
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	12	2017
Effectiveness of semi-supervised learning in bankruptcy prediction S Karlos, S Kotsiantis, N Fazakis, K Sgarbas 2016 7th International Conference on Information, Intelligence, Systems …, 2016	12	2016
Evaluating active learning methods for bankruptcy prediction G Kostopoulos, S Karlos, S Kotsiantis, V Tampakas Brain Function Assessment in Learning: First International Conference, BFAL …, 2017	11	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	11	2017

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