| A review on fairness in machine learning D Pessach, E Shmueli ACM Computing Surveys (CSUR) 55 (3), 1-44, 2022 | 299 | 2022 |
| Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming D Pessach, G Singer, D Avrahami, H Ben-Gal Chalutz, E Shmueli, ... Decision Support Systems, 113290, 2020 | 213 | 2020 |
| Algorithmic fairness D Pessach, E Shmueli Machine Learning for Data Science Handbook: Data Mining and Knowledge …, 2023 | 197 | 2023 |
| Improving fairness of artificial intelligence algorithms in privileged-group selection bias data settings D Pessach, E Shmueli Expert Systems with Applications 185, 115667, 2021 | 36 | 2021 |
| A human resources analytics and machine-learning examination of turnover: implications for theory and practice D Avrahami, D Pessach, G Singer, H Chalutz Ben-Gal International Journal of Manpower 43 (6), 1405-1424, 2022 | 31 | 2022 |
| Algorithmic fairness. arXiv D Pessach, E Shmueli arXiv preprint arXiv:2001.09784, 2020 | 6 | 2020 |
| Dynamic repositioning in a bike sharing system D Pessach, T Raviv, M Tzur Working Paper, Tel-Aviv University, 2014 | 6 | 2014 |
| Dynamic Repositioning in Bike-Sharing Systems D Pessach, T Raviv, M Tzur 1st Conference on Vehicle Routing and Logistics Optimization (VEROLOG …, 2012 | 6 | 2012 |
| Dynamic Repositioning in Bike Sharing Systems D Pessach, T Raviv, M Tzur Conference, Operations Research Society of Israel (ORSIS), 2012 | 6 | 2012 |
| Dynamic Repositioning in Bike-Sharing Systems D Pessach, T Raviv, M Tzur The Institute for Operations Research and the Management Sciences (INFORMS …, 2011 | 6 | 2011 |
| Fairness-driven private collaborative machine learning D Pessach, T Tassa, E Shmueli ACM Transactions on Intelligent Systems and Technology 15 (2), 1-30, 2024 | 3 | 2024 |
| A machine learning examination of turnover: hidden patterns and new insights H Chalutz Ben-Gal, D Avrahami, D Pessach, G Singer Academy of Management Proceedings 2021 (1), 12152, 2021 | 3 | 2021 |
| Fairness-Driven Private Collaborative Machine Learning D Pessach, T Tassa, E Shmueli https://arxiv.org/abs/2109.14376, 2021 | | 2021 |
| Examination of turnover: HR analytics perspective H Chalutz Ben-Gal, G Singer, D Pessach, D Avrahami 37th European Group of Organization Studies (EGOS) Colloquium, AI at Work …, 2021 | | 2021 |
| Examination of Turnover: HR Analytics Perspective H Chalutz Ben-Gal, D Avrahami, G Singer, D Pessach, I Ben-Gal The 2021 European Academy of Management (EURAM) Conference, 2021 | | 2021 |
| Using Machine Learning to Improve Employees Recruitment and Placement D Pessach, G Singer, D Avrahami, H Chalutz Ben-Gal, E Shmueli, ... The 21st National Conference of Industrial Engineering and Management, Israel, 2019 | | 2019 |
| Addressing the growing complexity of global work through human resources analytics: hidden patterns in turnover H Chalutz Ben-Gal, D Avrahami, D Pessach, G Singer 34th EGOS Colloquium in Tallinn, Estonia, July 5–7, 2018, 2018 | | 2018 |
| A Two-Phase Methodology for a Granular Job Placement Optimization D Pessach, G Singer, D Avrahami, H Chalutz Ben-Gal, I Ben-Gal The 20th National Conference of Industrial Engineering and Management, Israel, 2017 | | 2017 |
