Stamatis Karlos

发表

Semi-supervised regression: A recent review

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

Evaluating Active Learning Methods for Bankruptcy Prediction

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, 2017, BFAL.

Self-Trained LMT for Semisupervised Learning

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

Self-Train LogitBoost for Semi-supervised Learning

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

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).

An incrementally updateable ensemble learner

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

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

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

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

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

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

Stamatis Karlos, Sotiris Kotsiantis, Vangjel Kazllarof, 2020 .

Using Active Learning Methods for Predicting Fraudulent Financial Statements

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, 2017, EANN.

An active learning ensemble method for regression tasks

Georgios Kostopoulos, Nikos Fazakis, Kyriakos N. Sgarbas, 2020, Intell. Data Anal..

Optimized Active Learning Strategy for Audiovisual Speaker Recognition

Nikos Fazakis, Vasileios G. Kanas, Stamatis Karlos, 2018, SPECOM.

Automated hand gesture recognition exploiting Active Learning methods

Michalis Nik Xenos, Stamatis Karlos, Sotiris Kotsiantis, 2017, PCI.

Active fuzzy rule induction

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

Speech Recognition Combining MFCCs and Image Features

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2016, SPECOM.

An incremental self-trained ensemble algorithm

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

Local weighted Averaged 2-Dependence Estimator

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

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

Panayiotis E. Pintelas, Ioannis E. Livieris, Stamatis Karlos, 2017, PCI.

Audio System Spatial Image Evaluation via Binaural Feature Classification

John Mourjopoulos, Stamatis Karlos, Gavriil Kamaris, 2017 .

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2020, SETN.

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

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

A multi-scheme semi-supervised regression approach

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

Speaker Identification Using Semi-supervised Learning

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

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).

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

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

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

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

Locally application of naive Bayes for self-training

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2017, Evol. Syst..

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme

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

A Semi-supervised regressor based on model trees

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

ETHOS: a multi-label hate speech detection dataset pdf

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

Self-trained eXtreme Gradient Boosting Trees

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

Self-Trained Stacking Model for Semi-Supervised Learning

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

Automated hand gesture recognition for educational applications

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

A Semisupervised Cascade Classification Algorithm

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

Self-trained Rotation Forest for semi-supervised learning

Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas, 2017, J. Intell. Fuzzy Syst..

Active learning Rotation Forest for multiclass classification

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

Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms

John Mourjopoulos, Nikos Fazakis, Stamatis Karlos, 2016 .

Semi-supervised forecasting of fraudulent financial statements

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2016, PCI.

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

Grigorios Tsoumakas, Stamatis Karlos, Nikolaos Mylonas, 2021, Pattern Recognit. Lett..

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

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

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.

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

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

ETHOS: a multi-label hate speech detection dataset

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