Stamatis Karlos

According to our database, Stamatis Karlos authored at least 43 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas

Artif. Intell. Medicine, March, 2023

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

Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis

Neural Comput. Appl., 2023

2022

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

Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

2021

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing.

Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas

Pattern Recognit. Lett., 2021

Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles.

Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

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

Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Ανάπτυξη μερικώς επιβλεπόμενων αλγορίθμων μηχανικής μάθησης

Stamatis Karlos

PhD thesis, 2020

Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks.

Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis

Informatics, 2020

An active learning ensemble method for regression tasks.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Intell. Data Anal., 2020

ETHOS: an Online Hate Speech Detection Dataset.

Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas

CoRR, 2020

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

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis

Algorithms, 2020

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

Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis

IEEE Access, 2020

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors.

Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

2019

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

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis

IEEE Trans. Learn. Technol., 2019

A multi-scheme semi-supervised regression approach.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Pattern Recognit. Lett., 2019

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

Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis

Entropy, 2019

Active learning Rotation Forest for multiclass classification.

Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis

Comput. Intell., 2019

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

Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis

Proceedings of the 10th International Conference on Information, 2019

Self-trained eXtreme Gradient Boosting Trees.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th International Conference on Information, 2019

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme.

Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

Semi-supervised regression: A recent review.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos

J. Intell. Fuzzy Syst., 2018

Optimized Active Learning Strategy for Audiovisual Speaker Recognition.

Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis

Proceedings of the Speech and Computer - 20th International Conference, 2018

Local weighted Averaged 2-Dependence Estimator.

Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

A Semi-supervised regressor based on model trees.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

An incrementally updateable ensemble learner.

Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

An incremental self-trained ensemble algorithm.

Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

Active fuzzy rule induction.

Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017

Self-trained Rotation Forest for semi-supervised learning.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

J. Intell. Fuzzy Syst., 2017

Self-Trained Stacking Model for Semi-Supervised Learning.

Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Int. J. Artif. Intell. Tools, 2017

Locally application of naive Bayes for self-training.

Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Evol. Syst., 2017

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update.

Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas

Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Automated hand gesture recognition exploiting Active Learning methods.

Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos

Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Using Active Learning Methods for Predicting Fraudulent Financial Statements.

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Engineering Applications of Neural Networks, 2017

Evaluating Active Learning Methods for Bankruptcy Prediction.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

2016

Self-Trained LMT for Semisupervised Learning.

Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Comput. Intell. Neurosci., 2016

A Semisupervised Cascade Classification Algorithm.

Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Appl. Comput. Intell. Soft Comput., 2016

Speech Recognition Combining MFCCs and Image Features.

Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Speech and Computer - 18th International Conference, 2016

Automated hand gesture recognition for educational applications.

Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis

Proceedings of the 20th Pan-Hellenic Conference on Informatics, 2016

Semi-supervised forecasting of fraudulent financial statements.

Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 20th Pan-Hellenic Conference on Informatics, 2016

Effectiveness of semi-supervised learning in bankruptcy prediction.

Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas

Proceedings of the 7th International Conference on Information, 2016

Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 7th International Conference on Information, 2016

2015

Speaker Identification Using Semi-supervised Learning.

Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Speech and Computer - 17th International Conference, 2015

Self-Train LogitBoost for Semi-supervised Learning.

Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Engineering Applications of Neural Networks, 2015