| Discovery of causal models that contain latent variables through Bayesian scoring of independence constraints F Jabbari, J Ramsey, P Spirtes, G Cooper Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 33 | 2017 |
| Instance-specific Bayesian network structure learning F Jabbari, S Visweswaran, GF Cooper International Conference on Probabilistic Graphical Models, 169-180, 2018 | 32 | 2018 |
| Developing an open-domain English-Farsi translation system using AFEC: Amirkabir bilingual Farsi-English corpus F Jabbari, S Bakshaei, SMM Ziabary, S Khadivi Fourth Workshop on Computational Approaches to Arabic-Script-based Languages …, 2012 | 24 | 2012 |
| An instance-specific algorithm for learning the structure of causal Bayesian networks containing latent variables F Jabbari, GF Cooper Proceedings of the 2020 SIAM International Conference on Data Mining, 433-441, 2020 | 10 | 2020 |
| Causal markov boundaries S Triantafillou, F Jabbari, G Cooper arXiv preprint arXiv:2103.07560, 2021 | 7 | 2021 |
| An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors X Chen, L Chen, CHL Kürten, F Jabbari, L Vujanovic, Y Ding, B Lu, K Lu, ... PLOS Computational Biology 18 (12), e1010761, 2022 | 5 | 2022 |
| An empirical investigation of instance-specific causal bayesian network learning F Jabbari, S Visweswaran, GF Cooper 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
| Obtaining accurate probabilistic causal inference by post-processing calibration F Jabbari, MP Naeini, GF Cooper arXiv preprint arXiv:1712.08626, 2017 | 5 | 2017 |
| Identifying thesis statements in student essays: The class imbalance challenge and resolution F Jabbari, MH Falakmasir, KD Ashley The Twenty-Ninth International Flairs Conference, 2016 | 5 | 2016 |
| Unilateral semi-supervised learning of extended hidden vector state for persian language understanding F Jabbari, H Sameti, MH Bokaei 2011 7th International Conference on Natural Language Processing and …, 2011 | 4 | 2011 |
| Lung cancer survival prediction using instance-specific Bayesian networks F Jabbari, LC Villaruz, M Davis, GF Cooper Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 3 | 2020 |
| An assessment of the calibration of causal relationships learned using rfci and bootstrapping MP Naeini, F Jabbari, G Cooper 4th Workshop on Data Mining for Medical Informatics: Causal Inference for …, 2017 | 2 | 2017 |
| Causal and interventional Markov boundaries S Triantafillou, F Jabbari, GF Cooper Uncertainty in Artificial Intelligence, 1434-1443, 2021 | 1 | 2021 |
| Instance-Specific Causal Bayesian Network Structure Learning F Jabbari University of Pittsburgh, 2020 | 1 | 2020 |
| A novel unsupervised method for named-entity identification in resource-poor languages using bilingual corpus RM Seraj, F Jabbari, S Khadivi 7'th International Symposium on Telecommunications (IST'2014), 519-523, 2014 | 1 | 2014 |
| Learning Treatment Effects from Observational and Experimental Data S Triantafillou, F Jabbari, GF Cooper International Conference on Artificial Intelligence and Statistics, 7126-7146, 2023 | | 2023 |
| Active learning of EHVS parser for Persian language understanding MA Tajgardoon, F Jabbari, H Sameti, S Bahaadini 6th International Symposium on Telecommunications (IST), 827-832, 2012 | | 2012 |
| Glottal Pulse Shape Optimization using Simulated Annealing S Bahaadini, H Sameti, F Jabbari, SH Mohammadi The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | | 2012 |
| Persian language understanding using a two-step extended hidden vector state parser MH Bokaei 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | | 2011 |
| Causal and Interventional Markov Boundaries (Supplementary Material) S Triantafillou, F Jabbari, GF Cooper | | |
Gregory CooperProfessor of Biomedical Informatics, University of PittsburghEmail verificata su pitt.edu
