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Stamatis Karlos
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2020 – today
- 2023
- [j17]Nikolaos Mylonas
, Stamatis Karlos, Grigorios Tsoumakas:
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine 137: 102505 (2023) - [j16]Stamatis Karlos
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. 35(1): 3-20 (2023) - 2022
- [c24]Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN 2022: 42:1-42:10 - 2021
- [j15]Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas:
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. 151: 62-68 (2021) - [c23]Nikolaos Mylonas
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME 2021: 397-407 - [c22]Argyrios S. Vartholomaios
Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops 2021: 227-238 - [i2]Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas:
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR abs/2107.03825 (2021) - 2020
- [b1]Stamatis Karlos:
Ανάπτυξη μερικώς επιβλεπόμενων αλγορίθμων μηχανικής μάθησης. University of Patras, Greece, 2020 - [j14]Christos K. Aridas
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access 8: 2122-2133 (2020) - [j13]Stamatis Karlos
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms 13(1): 26 (2020) - [j12]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
An active learning ensemble method for regression tasks. Intell. Data Anal. 24(3): 607-623 (2020) - [j11]Vangjel Kazllarof, Stamatis Karlos
Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. Informatics 7(4): 50 (2020) - [c21]Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas:
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN 2020: 175-184 - [i1]Ioannis Mollas
ETHOS: an Online Hate Speech Detection Dataset. CoRR abs/2006.08328 (2020)
2010 – 2019
- 2019
- [j10]Vangjel Kazllarof, Stamatis Karlos
Active learning Rotation Forest for multiclass classification. Comput. Intell. 35(4): 891-918 (2019) - [j9]Nikos Fazakis
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy 21(10): 988 (2019) - [j8]Nikos Fazakis
A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. 125: 758-765 (2019) - [j7]Georgios Kostopoulos
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. 12(2): 212-224 (2019) - [c20]Stamatis Karlos
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI 2019: 37-49 - [c19]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained eXtreme Gradient Boosting Trees. IISA 2019: 1-6 - [c18]Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis:
Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA 2019: 1-8 - 2018
- [j6]Georgios Kostopoulos, Stamatis Karlos
Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. 35(2): 1483-1500 (2018) - [c17]Aikaterini Karanikola, Stamatis Karlos
Active fuzzy rule induction. EAIS 2018: 1-8 - [c16]Stamatis Karlos
An incremental self-trained ensemble algorithm. EAIS 2018: 1-8 - [c15]Aikaterini Karanikola, Stamatis Karlos
An incrementally updateable ensemble learner. PCI 2018: 243-248 - [c14]Nikos Fazakis
A Semi-supervised regressor based on model trees. SETN 2018: 6:1-6:7 - [c13]Stamatis Karlos
Local weighted Averaged 2-Dependence Estimator. SETN 2018: 28:1-28:4 - [c12]Stamatis Karlos
Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM 2018: 281-290 - 2017
- [j5]Stamatis Karlos
Locally application of naive Bayes for self-training. Evol. Syst. 8(1): 3-18 (2017) - [j4]Stamatis Karlos
Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools 26(2): 1750001:1-1750001:21 (2017) - [j3]Nikos Fazakis
Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. 32(1): 711-722 (2017) - [c11]Georgios Kostopoulos, Stamatis Karlos
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL 2017: 57-66 - [c10]Stamatis Karlos
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN 2017: 351-362 - [c9]Vangjel Kazllarof, Stamatis Karlos
Automated hand gesture recognition exploiting Active Learning methods. PCI 2017: 3:1-3:6 - [c8]Ioannis E. Livieris, Stamatis Karlos
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. PCI 2017: 21:1-21:5 - 2016
- [j2]Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas:
A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. 2016: 5919717:1-5919717:14 (2016) - [j1]Nikos Fazakis
Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. 2016: 3057481:1-3057481:13 (2016) - [c7]Nikos Fazakis
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA 2016: 1-6 - [c6]Stamatis Karlos
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA 2016: 1-6 - [c5]Vangjel Kazllarof, Stamatis Karlos
Automated hand gesture recognition for educational applications. PCI 2016: 20 - [c4]Stamatis Karlos
Semi-supervised forecasting of fraudulent financial statements. PCI 2016: 34 - [c3]Stamatis Karlos
Speech Recognition Combining MFCCs and Image Features. SPECOM 2016: 651-658 - 2015
- [c2]Stamatis Karlos
Self-Train LogitBoost for Semi-supervised Learning. EANN 2015: 139-148 - [c1]Nikos Fazakis
Speaker Identification Using Semi-supervised Learning. SPECOM 2015: 389-396
Coauthor Index
aka: Sotiris Kotsiantis
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