The funnel experiment: The Markov-based SPC approach. - Gonen Singer; Irad Ben-Gal (Qual. Reliab. Eng. Int., 2007)

An optimal inventory management problem with reputation-dependent demand. - Eugene Khmelnitsky; Gonen Singer (Ann. Oper. Res., 2015)

Erratum to: An optimal inventory management problem with reputation-dependent demand. - Eugene Khmelnitsky; Gonen Singer (Ann. Oper. Res., 2015)

Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests. - Neta Rabin; Maya Golan; Gonen Singer; Dvir Kleper (Eng. Appl. Artif. Intell., 2019)

Clustering Users by Their Mobility Behavioral Patterns. - Irad Ben-Gal; Shahar Weinstock; Gonen Singer; Nicholas Bambos (ACM Trans. Knowl. Discov. Data, 2019)

Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. - Dana Pessach; Gonen Singer; Dan Avrahami; Hila Chalutz Ben-Gal; Erez Shmueli; Irad Ben-Gal (Decis. Support Syst., 2020)

An Objective-Based Entropy Approach for Interpretable Decision Tree Models in Support of Human Resource Management: The Case of Absenteeism at Work. - Gonen Singer; Izack Cohen (Entropy, 2020)

Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic. - Gonen Singer; Matan Marudi (Entropy, 2020)

A weighted information-gain measure for ordinal classification trees. - Gonen Singer; Roee Anuar; Irad Ben-Gal (Expert Syst. Appl., 2020)

A framework for operator - workstation interaction in Industry 4.0. - Maya Golan; Yuval Cohen; Gonen Singer (Int. J. Prod. Res., 2020)

Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems. - Ohad Volk; Gonen Singer (CoRR, 2021)

A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0. - Gonen Singer; Yuval Cohen (Eng. Appl. Artif. Intell., 2021)

Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms. - Gonen Singer; Anat Ratnovsky; Sara Naftali (Expert Syst. Appl., 2021)

Applying data mining algorithms to encourage mental health disclosure in the workplace. - Gonen Singer; Maya Golan (Int. J. Bus. Inf. Syst., 2021)

A smart process controller framework for Industry 4.0 settings. - Yuval Cohen; Gonen Singer (J. Intell. Manuf., 2021)

A flexible employee recruitment and compensation model: A bi-level optimization approach. - Hila Chalutz Ben-Gal; Iris A. Forma; Gonen Singer (Comput. Ind. Eng., 2022)

Adaptive Learning for the Resource-Constrained Classification Problem. - Danit Shifman Abukasis; Izack Cohen; Xiaochen Xian; Kejun Huang; Gonen Singer (CoRR, 2022)

Evaluating the Effectiveness of Accommodations Given to Students With Learning Impairments: Ordinal and Interpretable Machine-Learning-Based Methodology. - Gonen Singer; Maya Golan; Rachel Shiff; Dvir Kleper (IEEE Trans. Learn. Technol., 2022)

Optimal Real Estate Pricing and Offer Acceptance Strategy. - Eugene Khmelnitsky; Gonen Singer (IEEE Access, 2023)

Graph-based Extreme Feature Selection for Multi-class Classification Tasks. - Shir Friedman; Gonen Singer; Neta Rabin (CoRR, 2023)

Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette. - David Levin; Gonen Singer (CoRR, 2023)

An adaptive machine learning algorithm for the resource-constrained classification problem. - Danit Shifman Abukasis; Izack Cohen; Kejun Huang; Xiaochen Xian; Gonen Singer (Eng. Appl. Artif. Intell., 2023)

Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method. - Ohad Volk; Anat Ratnovsky; Sara Naftali; Gonen Singer (Biomed. Signal Process. Control., 2023)

A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms. - Rotem Haba; Gonen Singer; Sara Naftali; Mordechai R. Kramer; Anat Ratnovsky (Expert Syst. Appl., 2023)

Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming. - Lior Rabkin; Ilan Cohen; Gonen Singer (Eng. Appl. Artif. Intell., 2024)

An adaptive cost-sensitive learning approach in neural networks to minimize local training-test class distributions mismatch. - Ohad Volk; Gonen Singer (Intell. Syst. Appl., 2024)

GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette. - David Levin; Gonen Singer (J. Big Data, 2024)

Automatic Complementary Separation Pruning Toward Lightweight CNNs. - David Levin; Gonen Singer (CoRR, 2025)