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2020 – today
- 2024
[j23]Lior Rabkin, Ilan Cohen, Gonen Singer
:
Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming. Eng. Appl. Artif. Intell. 132: 107914 (2024)- [j22]Ohad Volk, Gonen Singer:
An adaptive cost-sensitive learning approach in neural networks to minimize local training-test class distributions mismatch. Intell. Syst. Appl. 21: 200316 (2024) - [j21]David Levin, Gonen Singer:
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette. J. Big Data 11(1): 79 (2024) - 2023
- [j20]Eugene Khmelnitsky, Gonen Singer:
Optimal Real Estate Pricing and Offer Acceptance Strategy. IEEE Access 11: 58644-58653 (2023) - [j19]Ohad Volk, Anat Ratnovsky, Sara Naftali, Gonen Singer:
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method. Biomed. Signal Process. Control. 85: 104962 (2023) - [j18]Danit Shifman Abukasis, Izack Cohen, Kejun Huang, Xiaochen Xian, Gonen Singer:
An adaptive machine learning algorithm for the resource-constrained classification problem. Eng. Appl. Artif. Intell. 119: 105741 (2023) - [j17]Rotem Haba, Gonen Singer, Sara Naftali, Mordechai R. Kramer, Anat Ratnovsky:
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms. Expert Syst. Appl. 223: 119799 (2023) - [i4]Shir Friedman, Gonen Singer, Neta Rabin:
Graph-based Extreme Feature Selection for Multi-class Classification Tasks. CoRR abs/2303.01792 (2023) - [i3]David Levin, Gonen Singer:
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette. CoRR abs/2309.02272 (2023) - 2022
- [j16]Hila Chalutz Ben-Gal, Iris A. Forma, Gonen Singer:
A flexible employee recruitment and compensation model: A bi-level optimization approach. Comput. Ind. Eng. 165: 107916 (2022) - [j15]Gonen Singer, Maya Golan, Rachel Shiff, Dvir Kleper:
Evaluating the Effectiveness of Accommodations Given to Students With Learning Impairments: Ordinal and Interpretable Machine-Learning-Based Methodology. IEEE Trans. Learn. Technol. 15(6): 736-746 (2022) - [i2]Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer:
Adaptive Learning for the Resource-Constrained Classification Problem. CoRR abs/2207.09196 (2022) - 2021
- [j14]Gonen Singer, Yuval Cohen:
A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0. Eng. Appl. Artif. Intell. 102: 104236 (2021) - [j13]Gonen Singer, Anat Ratnovsky, Sara Naftali:
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. 173: 114707 (2021) - [j12]Gonen Singer, Maya Golan:
Applying data mining algorithms to encourage mental health disclosure in the workplace. Int. J. Bus. Inf. Syst. 36(4): 553-571 (2021) - [j11]Yuval Cohen, Gonen Singer:
A smart process controller framework for Industry 4.0 settings. J. Intell. Manuf. 32(7): 1975-1995 (2021) - [i1]Ohad Volk, Gonen Singer:
Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems. CoRR abs/2111.07382 (2021) - 2020
- [j10]Dana Pessach, Gonen Singer, Dan Avrahami, Hila Chalutz Ben-Gal, Erez Shmueli, Irad Ben-Gal:
Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. Decis. Support Syst. 134: 113290 (2020) - [j9]Gonen Singer, Izack Cohen:
An Objective-Based Entropy Approach for Interpretable Decision Tree Models in Support of Human Resource Management: The Case of Absenteeism at Work. Entropy 22(8): 821 (2020) - [j8]Gonen Singer, Matan Marudi:
Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic. Entropy 22(8): 871 (2020) - [j7]Gonen Singer, Roee Anuar, Irad Ben-Gal:
A weighted information-gain measure for ordinal classification trees. Expert Syst. Appl. 152: 113375 (2020) - [j6]Maya Golan, Yuval Cohen, Gonen Singer:
A framework for operator - workstation interaction in Industry 4.0. Int. J. Prod. Res. 58(8): 2421-2432 (2020)
2010 – 2019
- 2019
- [j5]Neta Rabin, Maya Golan, Gonen Singer, Dvir Kleper:
Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests. Eng. Appl. Artif. Intell. 85: 492-503 (2019) - [j4]Irad Ben-Gal, Shahar Weinstock, Gonen Singer, Nicholas Bambos:
Clustering Users by Their Mobility Behavioral Patterns. ACM Trans. Knowl. Discov. Data 13(4): 45:1-45:28 (2019) - 2015
- [j3]Eugene Khmelnitsky, Gonen Singer:
An optimal inventory management problem with reputation-dependent demand. Ann. Oper. Res. 231(1): 305-316 (2015) - [j2]Eugene Khmelnitsky, Gonen Singer:
Erratum to: An optimal inventory management problem with reputation-dependent demand. Ann. Oper. Res. 231(1): 317-318 (2015)
2000 – 2009
- 2007
- [j1]Gonen Singer, Irad Ben-Gal:
The funnel experiment: The Markov-based SPC approach. Qual. Reliab. Eng. Int. 23(8): 899-913 (2007)
Coauthor Index
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