| Data-driven decision support in livestock farming for improved animal health, welfare and greenhouse gas emissions: Overview and challenges P Niloofar, DP Francis, S Lazarova-Molnar, A Vulpe, MC Vochin, G Suciu, ... Computers and Electronics in Agriculture 190, 106406, 2021 | 57 | 2021 |
| Data-driven fault tree modeling for reliability assessment of cyber-physical systems S Lazarova-Molnar, P Niloofar, GK Barta 2020 Winter Simulation Conference (WSC), 2719-2730, 2020 | 22 | 2020 |
| Automating reliability analysis: Data-driven learning and analysis of multi-state fault trees S Lazarova-Molnar, P Niloofar, GK Barta European Safety and Reliability Conference Conference (ESREL) 30 (8), 2020 | 15 | 2020 |
| A new multivariate imputation method based on Bayesian networks P Niloofar, M Ganjali Journal of applied statistics 41 (3), 501-518, 2014 | 15 | 2014 |
| Comparative evaluation of data requirements and level of decision support provided by decision support tools for reducing livestock-related greenhouse gas emissions DA Thumba, S Lazarova-Molnar, P Niloofar Journal of Cleaner Production 373, 133886, 2022 | 12 | 2022 |
| Fusion of data and expert knowledge for fault tree reliability analysis of cyber-physical systems P Niloofar, S Lazarova-Molnar 2021 5th International Conference on System Reliability and Safety (ICSRS …, 2021 | 11 | 2021 |
| Data-driven extraction and analysis of repairable fault trees from time series data P Niloofar, S Lazarova-Molnar Expert Systems with Applications 215, 119345, 2023 | 9 | 2023 |
| Collaborative data-driven reliability analysis of multi-state fault trees P Niloofar, S Lazarova-Molnar Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2023 | 8 | 2023 |
| Data-driven decision support tools for reducing ghg emissions from livestock production systems: Overview and challenges DA Thumba, S Lazarova-Molnar, P Niloofar 2020 7th International Conference on Internet of Things: Systems, Management …, 2020 | 8 | 2020 |
| Modeling and simulation for decision support in precision livestock farming P Niloofar, S Lazarova-Molnar, DP Francis, A Vulpe, G Suciu, ... 2020 Winter Simulation Conference (WSC), 2601-2612, 2020 | 7 | 2020 |
| Investigating effective factors on the Efficiency of Iranian Banking Industry (Simar and Wilson’s two-stage method) A TARKHANI, A Nazari, P Niloofar Quarterly Journal of Quantitative Economics 17 (2), 1-41, 2020 | 7 | 2020 |
| Estimating livestock greenhouse gas emissions: existing models, emerging technologies and associated challenges DA Thumba, S Lazarova-Molnar, P Niloofar 2021 6th International Conference on Smart and Sustainable Technologies …, 2021 | 5 | 2021 |
| Data-driven modelling of repairable fault trees from time series data with missing information P Niloofar, S Lazarova-Molnar 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 4 | 2021 |
| Assessing effective factors on poverty using Bayesian networks P Niloofar, M Ganjali Social Welfare Quarterly 7 (28), 107-128, 2008 | 4 | 2008 |
| A conceptual framework for holistic assessment of decision support systems for sustainable livestock farming P Niloofar, S Lazarova-Molnar, DA Thumba, KI Shahin Ecological Indicators 155, 111029, 2023 | 3 | 2023 |
| Inferring gene regulatory networks by an order independent algorithm using incomplete data sets R Aghdam, M Ganjali, P Niloofar, C Eslahchi Journal of Applied Statistics 43 (5), 893-913, 2016 | 3 | 2016 |
| Performance evaluation of imputation based on Bayesian Networks P Niloofar, M Ganjali, MR Farid Rohani Sankhya B 75, 90-111, 2013 | 3 | 2013 |
| Multi-objective Decision Support Tool for Sustainable Livestock Farming KI Shahin, S Lazarova-Molnar, P Niloofar 2023 8th International Conference on Smart and Sustainable Technologies …, 2023 | 2 | 2023 |
| An innovative algorithm for planning and scheduling healthcare units with the aim of reducing the length of stay for patients (Case study: Cardiac Surgery Ward of Razavi … M Sadeghi, P Niloofar, M Ziaee, Z Mojaradi Journal of Industrial Engineering and Management Studies 4 (1), 90-104, 2017 | 2 | 2017 |
| Improving the performance of Bayesian networks in non-ignorable missing data imputation P Niloofar, M Ganjali, MRF ROHANI Kuwait Journal of Science 40 (2), 2013 | 2 | 2013 |
