Stamatis Karlos

45 papers B 1C 2Misc 1Journal 20Unranked 20

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis
2023	J	`jnl`	WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2022	J	`jnl`	ETHOS: a multi-label hate speech detection dataset. Complex Intell. Syst. Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2022	—	`conf`	Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
2021	B	`conf`	A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2021	J	`jnl`	Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
2021	—	`conf`	Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
2021	J	`jnl`	Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
2020	J	`jnl`	A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis
2020	J	`jnl`	An active learning ensemble method for regression tasks. Intell. Data Anal. Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2020	J	`jnl`	ETHOS: an Online Hate Speech Detection Dataset. CoRR Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2020	J	`jnl`	Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. Informatics Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
2020	J	`jnl`	Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis
2020	—	`conf`	Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2020	—	`—`	Ανάπτυξη μερικώς επιβλεπόμενων αλγορίθμων μηχανικής μάθησης Stamatis Karlos
2019	J	`jnl`	A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2019	J	`jnl`	Active learning Rotation Forest for multiclass classification. Comput. Intell. Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
2019	J	`jnl`	Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis
2019	—	`conf`	Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis
2019	Misc	`conf`	Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis
2019	J	`jnl`	Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis
2019	—	`conf`	Self-trained eXtreme Gradient Boosting Trees. IISA Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2018	—	`conf`	A Semi-supervised regressor based on model trees. SETN Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2018	—	`conf`	Active fuzzy rule induction. EAIS Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis
2018	—	`conf`	An incremental self-trained ensemble algorithm. EAIS Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis
2018	—	`conf`	An incrementally updateable ensemble learner. PCI Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis
2018	—	`conf`	Local weighted Averaged 2-Dependence Estimator. SETN Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis
2018	—	`conf`	Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis
2018	J	`jnl`	Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos
2017	—	`conf`	A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. PCI Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas
2017	—	`conf`	Automated hand gesture recognition exploiting Active Learning methods. PCI Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos
2017	—	`conf`	Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas
2017	J	`jnl`	Locally application of naive Bayes for self-training. Evol. Syst. Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2017	J	`jnl`	Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2017	J	`jnl`	Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2017	C	`conf`	Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas
2016	J	`jnl`	A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Automated hand gesture recognition for educational applications. PCI Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis
2016	—	`conf`	Effectiveness of semi-supervised learning in bankruptcy prediction. IISA Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas
2016	J	`jnl`	Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Semi-supervised forecasting of fraudulent financial statements. PCI Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Speech Recognition Combining MFCCs and Image Features. SPECOM Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2015	C	`conf`	Self-Train LogitBoost for Semi-supervised Learning. EANN Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2015	—	`conf`	Speaker Identification Using Semi-supervised Learning. SPECOM Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas