‪Stamatis Karlos, Postdoctoral Researcher‬

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Sotiris KotsiantisAssociate Professor, Department of Mathematics, University of Patras, GreeceEmail confirmado em math.upatras.gr
Nikos FazakisUniversity of PatrasEmail confirmado em fazakis.gr
Kyriakos Sgarbas (Κυριάκος Σγάρμπας)Assoc. Professor, Dept. of Electrical & Computer Engineering, University of Patras, Hellas (Greece)Email confirmado em upatras.gr
Dr. Georgios KostopoulosHellenic Open University, University of Patras-Department of Mathematics, ESDLab, GreeceEmail confirmado em sch.gr
Grigorios TsoumakasAristotle University of ThessalonikiEmail confirmado em csd.auth.gr
Vasileios G. KanasUniversity of PatrasEmail confirmado em upatras.gr
Christos K. AridasComputational Intelligence Laboratory, Department of Mathematics, University of Patras, GreeceEmail confirmado em upatras.gr
Vangjel KazllarofEmail confirmado em upatras.gr
Ioannis MollasAristotle University of Thessaloniki, School of InformaticsEmail confirmado em csd.auth.gr
Omiros RagosDepartment of Mathematics, University of Patras, GreeceEmail confirmado em math.upatras.gr
Aikaterini KaranikolaPhD Student, University of PatrasEmail confirmado em upatras.gr
Vasilis TampakasProfessor, Department of Electrical and Computer Engineering, University of PeloponnesusEmail confirmado em uop.gr
Terpinas StergiosUndergraduate Student at Electrical and Computer Engineering, University of PatrasEmail confirmado em upnet.gr
Gavriil KamarisPhD candidate, University of Patras, GreeceEmail confirmado em upatras.gr
Dimitris KoutsaidisR&D Engineer / ECE GraduateEmail confirmado em upnet.gr
Eirini KateriPhD student, ECS, University of Southampton, UKEmail confirmado em soton.ac.uk
Michalis XenosProfessor of Computer Science, Computer Enginnering and Informatics Department, Patras UniversityEmail confirmado em ceid.upatras.gr
Vasilis PapastefanopoulosUniversity of PatrasEmail confirmado em upatras.gr
Nikolaos MylonasPostdoctoral Researcher, Information Technologies Institute, CERTHEmail confirmado em iti.gr

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Stamatis Karlos, Postdoctoral Researcher

School of Informatics, Aristotle University of Thessaloniki

Email confirmado em csd.auth.gr - Página inicial

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


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
ETHOS: a multi-label hate speech detection dataset I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas Complex & Intelligent Systems 8 (6), 4663-4678, 2022	218	2022
Semi-supervised regression: A recent review G Kostopoulos, S Karlos, S Kotsiantis, O Ragos Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018	175	2018
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	77	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	70	2020
Self‐Trained LMT for Semisupervised Learning N Fazakis, S Karlos, S Kotsiantis, K Sgarbas Computational intelligence and neuroscience 2016 (1), 3057481, 2016	47	2016
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	44	2020
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	43	2019
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	27	2019
A multi-scheme semi-supervised regression approach N Fazakis, S Karlos, S Kotsiantis, K Sgarbas Pattern Recognition Letters 125, 758-765, 2019	23	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	21	2021
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	16	2023
Active learning Rotation Forest for multiclass classification V Kazllarof, S Karlos, S Kotsiantis Computational Intelligence 35 (4), 891-918, 2019	15	2019
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	13	2019
Locally application of naive Bayes for self-training S Karlos, N Fazakis, AP Panagopoulou, S Kotsiantis, K Sgarbas Evolving Systems 8, 3-18, 2017	13	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	13	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	13	2016
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
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	12	2020
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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