Levin, David ; Singer, Gonen. / Optimizing multi-sensor systems : A case study of graph-based automatic feature selection. In: AIP Conference Proceedings. 2026 ; Vol. 3381, No. 1.
Forma, Iris A. ; Singer, Inbal ; Singer, Gonen et al. / A bi-level optimization decision support tool for maximizing company profit through employee retention. In: Heliyon. 2026 ; Vol. 12, No. 6.
Abrutzky, Mor ; Friedman, Shir ; Singer, Gonen et al. / A graph-based sparse filter feature selection method for multi-class and ordinal data. International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the International Joint Conference on Neural Networks).
Levin, David ; Singer, Gonen. / GB-AFS : graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette. In: Journal of Big Data. 2024 ; Vol. 11, No. 1.
Danino-Levi, Michal ; Goldberg, Tal ; Keter, Maya et al. / Computational analysis of super-resolved in situ sequencing data reveals genes modified by immune-tumor contact events. In: RNA. 2024 ; Vol. 30, No. 7. pp. 749-759.
Volk, Ohad ; Singer, Gonen. / An adaptive cost-sensitive learning approach in neural networks to minimize local training–test class distributions mismatch. In: Intelligent Systems with Applications. 2024 ; Vol. 21.
Haba, Rotem ; Singer, Gonen ; Naftali, Sara et al. / A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms. In: Expert Systems with Applications. 2023 ; Vol. 223.
Volk, Ohad ; Ratnovsky, Anat ; Naftali, Sara et al. / Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method. In: Biomedical Signal Processing and Control. 2023 ; Vol. 85.
Singer, Gonen ; Golan, Maya ; Shiff, Rachel et al. / Evaluating the Effectiveness of Accommodations Given to Students with Learning Impairments : Ordinal and Interpretable Machine-Learning-Based Methodology. In: IEEE Transactions on Learning Technologies. 2022 ; Vol. 15, No. 6. pp. 736-746.
Avrahami, Dan ; Pessach, Dana ; Singer, Gonen et al. / A human resources analytics and machine-learning examination of turnover : implications for theory and practice. In: International Journal of Manpower. 2022 ; Vol. 43, No. 6. pp. 1405-1424.
Ben-Gal, Hila Chalutz ; Forma, Iris A. ; Singer, Gonen. / A flexible employee recruitment and compensation model : A bi-level optimization approach. In: Computers and Industrial Engineering. 2022 ; Vol. 165.
Ben-Gal, Hila Chalutz ; Avrahami, Dan ; Pessach, Dana et al. / A HUMAN RESOURCES ANALYTICS EXAMINATION OF TURNOVER : IMPLICATION FOR THEORY AND PRACTICE. In: Academy of Management Annual Meeting Proceedings. 2021.
Cohen, Yuval ; Singer, Gonen. / A smart process controller framework for Industry 4.0 settings. In: Journal of Intelligent Manufacturing. 2021 ; Vol. 32, No. 7. pp. 1975-1995.
Singer, Gonen ; Ratnovsky, Anat ; Naftali, Sara. / Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms. In: Expert Systems with Applications. 2021 ; Vol. 173.
Singer, Gonen ; Cohen, Yuval. / A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0. In: Engineering Applications of Artificial Intelligence. 2021 ; Vol. 102.
Singer, Gonen ; Golan, Maya. / Applying data mining algorithms to encourage mental health disclosure in the workplace. In: International Journal of Business Information Systems. 2021 ; Vol. 36, No. 4. pp. 553-571.
BEN-GAL, HILA CHALUTZ ; AVRAHAMI, DAN ; PESSACH, DANA et al. / A MACHINE LEARNING EXAMINATION OF TURNOVER : HIDDEN PATTERNS AND NEW INSIGHTS. In: Academy of Management Annual Meeting Proceedings. 2021 ; Vol. 2021, No. 1. pp. 1-6.
Singer, Gonen ; Marudi, Matan. / Ordinal decision-tree-based ensemble approaches : The case of controlling the daily local growth rate of the COVID-19 epidemic. In: Entropy. 2020 ; Vol. 22, No. 8.
Singer, Gonen ; Golan, Maya ; Rabin, Neta et al. / Evaluation of the effect of learning disabilities and accommodations on the prediction of the stability of academic behaviour of undergraduate engineering students using decision trees. In: European Journal of Engineering Education. 2020 ; Vol. 45, No. 4. pp. 614-630.
Golan, Maya ; Cohen, Yuval ; Singer, Gonen. / A framework for operator– workstation interaction in Industry 4.0. In: International Journal of Production Research. 2020 ; Vol. 58, No. 8. pp. 2421-2432.
Pessach, Dana ; Singer, Gonen ; Avrahami, Dan et al. / Employees recruitment : A prescriptive analytics approach via machine learning and mathematical programming. In: Decision Support Systems. 2020 ; Vol. 134.
Singer, Gonen ; Cohen, Izack. / An objective-based entropy approach for interpretable decision tree models in support of human resource management : The case of absenteeism at work. In: Entropy. 2020 ; Vol. 22, No. 8.
Golan, Maya ; Singer, Gonen ; Rabin, Neta et al. / Integrating actual time usage into the assessment of examination time extensions provided to disabled college engineering students. In: Assessment and Evaluation in Higher Education. 2020 ; Vol. 45, No. 7. pp. 988-1000.
Rabin, N. ; Golan, M. ; Singer, G. et al. / Modeling and Analysis of Students’ Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests. In: Engineering Applications of Artificial Intelligence. 2019 ; Vol. 85. pp. 492-503.
Singer, Gonen ; Golan, Maya. / Identification of subgroups of terror attacks with shared characteristics for the purpose of preventing mass-casualty attacks : A data-mining approach. In: Crime Science. 2019 ; Vol. 8, No. 1.
Singer, Gonen ; Golan, Maya ; Cohen, Yuval. / From product documentation to a method prototype and standard times : A new technique for complex manual assembly. In: International Journal of Production Research. 2014 ; Vol. 52, No. 2. pp. 507-520.
Ben-Gal, Irad ; Dana, Alexandra ; Shkolnik, Niv et al. / Efficient construction of decision trees by the dual information distance method. In: Quality Technology and Quantitative Management. 2014 ; Vol. 11, No. 1. pp. 133-147.
Cohen, Yuval ; Singer, Gonen ; Golan, Maya et al. / Automating the transformation from a prototype to a method of assembly. Innovations and Advances in Computer, Information, Systems Sciences, and Engineering. 2013. pp. 99-106 (Lecture Notes in Electrical Engineering).
Singer, Gonen ; Khmelnitsky, Eugene. / A finite-horizon, stochastic optimal control policy for a production-inventory system with backlog-dependent lost sales. In: IIE Transactions (Institute of Industrial Engineers). 2010 ; Vol. 42, No. 12. pp. 855-864.
Khmelnitsky, E. ; Singer, G. / A stochastic inventory control problem with reputation-dependent demand. Proceedings of the 13th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'09. 4 PART 1. ed. IFAC Secretariat, 2009. pp. 1689-1693 (IFAC Proceedings Volumes (IFAC-PapersOnline); 4 PART 1).
Khmelnitsky, E. ; Singer, G. / Optimal control of a stochastic system : State-costate analysis. Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control, MIC 2007. 2007. pp. 224-228 (Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC).
Ben-Gal, Irad ; Singer, Gonen. / Statistical process control via context modeling of finite-state processes : An application to production monitoring. In: IIE Transactions (Institute of Industrial Engineers). 2004 ; Vol. 36, No. 5. pp. 401-415.
