Gonen Singer
Orcid: 0000-0002-2610-9579
According to our database1,
Gonen Singer
authored at least 27 papers
between 2007 and 2024.
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Bibliography
2024
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette.
J. Big Data, December, 2024
An adaptive cost-sensitive learning approach in neural networks to minimize local training-test class distributions mismatch.
Intell. Syst. Appl., March, 2024
Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.
Eng. Appl. Artif. Intell., 2024
2023
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms.
Expert Syst. Appl., August, 2023
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method.
Biomed. Signal Process. Control., August, 2023
An adaptive machine learning algorithm for the resource-constrained classification problem.
Eng. Appl. Artif. Intell., March, 2023
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette.
CoRR, 2023
CoRR, 2023
2022
Evaluating the Effectiveness of Accommodations Given to Students With Learning Impairments: Ordinal and Interpretable Machine-Learning-Based Methodology.
IEEE Trans. Learn. Technol., 2022
A flexible employee recruitment and compensation model: A bi-level optimization approach.
Comput. Ind. Eng., 2022
2021
J. Intell. Manuf., 2021
Applying data mining algorithms to encourage mental health disclosure in the workplace.
Int. J. Bus. Inf. Syst., 2021
Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms.
Expert Syst. Appl., 2021
A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0.
Eng. Appl. Artif. Intell., 2021
Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems.
CoRR, 2021
2020
Int. J. Prod. Res., 2020
Expert Syst. Appl., 2020
Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic.
Entropy, 2020
An Objective-Based Entropy Approach for Interpretable Decision Tree Models in Support of Human Resource Management: The Case of Absenteeism at Work.
Entropy, 2020
Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming.
Decis. Support Syst., 2020
2019
ACM Trans. Knowl. Discov. Data, 2019
Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests.
Eng. Appl. Artif. Intell., 2019
2015
Erratum to: An optimal inventory management problem with reputation-dependent demand.
Ann. Oper. Res., 2015
Ann. Oper. Res., 2015
2007