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Kotsiantis, Sotiris B.
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1

kNN Classification: a review:

Syriopoulos, Panos K. ; Kalampalikis, Nektarios G. ; Kotsiantis, Sotiris B..
Annals of Mathematics and Artificial Intelligence.  , 2023
Link: https://doi.org/10.1007/..
 
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2

Survey on KNN Methods in Data Science:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,
Syriopoulos, Panos K. ; Kotsiantis, Sotiris B. ; Vrahatis, Michael N. - p. 379-393 , 2022
Link: https://doi.org/10.1007/..
 
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3

Density-Based Geometric One-Class Classifier Combined with ..:

Kim, Do Gyun ; Choi, Jin Young ; Kotsiantis, Sotiris B.
Mathematical Problems in Engineering.  2022 (2022)  - p. 1-18 , 2022
Link: https://doi.org/10.1155/..
 
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4

XGBoost Optimized by Adaptive Particle Swarm Optimization f..:

Qin, Chao ; Zhang, Yunfeng ; Bao, Fangxun...
Mathematical Problems in Engineering.  2021 (2021)  - p. 1-18 , 2021
Link: https://doi.org/10.1155/..
 
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5

Pruning Multilayered ELM Using Cholesky Factorization and G..:

Liu, Jingyi ; Liu, Xinxin ; Liu, Chongmin...
Mathematical Problems in Engineering.  2021 (2021)  - p. 1-11 , 2021
Link: https://doi.org/10.1155/..
 
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6

Uncertainty Based Under-Sampling for Learning Naive Bayes C..:

Aridas, Christos K. ; Karlos, Stamatis ; Kanas, Vasileios G...
IEEE Access.  8 (2020)  - p. 2122-2133 , 2020
Link: https://doi.org/10.1109/..
 
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7

A new ensemble method for outlier identification:

, In: 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence),
Alexandropoulos, Stamatios-Aggelos N. ; Kotsiantis, Sotiris B. ; Piperigou, Violetta E.. - p. 769-774 , 2020
Link: https://doi.org/10.1109/..
 
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8

Machine learning and nonlinear models for the estimation of..:

Charalampakis, Aristotelis E. ; Tsiatas, George C. ; Kotsiantis, Sotiris B.
Engineering Structures.  216 (2020)  - p. 110765 , 2020
Link: https://doi.org/10.1016/..
 
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9

Financial Fraudulent Statements Detection through a Deep De..:

, In: 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA),
Temponeras, Georgios S. ; Alexandropoulos, Stamatios-Aggelos N. ; Kotsiantis, Sotiris B.. - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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10

Multi-Objective Evolutionary Optimization Algorithms for Ma..:

, In: Approximation and Optimization; Springer Optimization and Its Applications,
Alexandropoulos, Stamatios-Aggelos N. ; Aridas, Christos K. ; Kotsiantis, Sotiris B.. - p. 35-55 , 2019
Link: https://doi.org/10.1007/..
 
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11

A Deep Dense Neural Network for Bankruptcy Prediction:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Alexandropoulos, Stamatios-Aggelos N. ; Aridas, Christos K. ; Kotsiantis, Sotiris B.. - p. 435-444 , 2019
Link: https://doi.org/10.1007/..
 
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12

Data preprocessing in predictive data mining:

Alexandropoulos, Stamatios-Aggelos N. ; Kotsiantis, Sotiris B. ; Vrahatis, Michael N.
The Knowledge Engineering Review.  34 (2019)  - p. , 2019
Link: https://doi.org/10.1017/..
 
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13

Stacking Strong Ensembles of Classifiers:

, In: IFIP Advances in Information and Communication Technology; Artificial Intelligence Applications and Innovations,
Alexandropoulos, Stamatios-Aggelos N. ; Aridas, Christos K. ; Kotsiantis, Sotiris B.. - p. 545-556 , 2019
Link: https://doi.org/10.1007/..
 
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14

Hybrid local boosting utilizing unlabeled data in classific..:

Aridas, Christos K. ; Kotsiantis, Sotiris B. ; Vrahatis, Michael N.
Evolving Systems.  10 (2017)  1 - p. 51-61 , 2017
Link: https://doi.org/10.1007/..
 
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15

Bagging and boosting variants for handling classifications ..:

Kotsiantis, Sotiris B.
The Knowledge Engineering Review.  29 (2013)  1 - p. 78-100 , 2013
Link: https://doi.org/10.1017/..
 
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