Persian language understanding using a two-step extended hidden vector state parser. - Fattaneh Jabbari; Hossein Sameti; Mohammad Hadi Bokaei (MLSP, 2011)

Unilateral semi-supervised learning of extended hidden vector state for Persian Language Understanding. - Fattaneh Jabbari; Hossein Sameti; Mohammad Hadi Bokaei (NLPKE, 2011)

Developing an Open-domain English-Farsi Translation System Using AFEC: Amirkabir Bilingual Farsi-English Corpus. - Fattaneh Jabbari; Somayeh Bakshaei; Seyyed Mohammad Mohammadzadeh Ziabary; Shahram Khadivi (CAAS@AMTA, 2012)

Active learning of EHVS parser for Persian language understanding. - Mohammad Amin Tajgardoon; Fattaneh Jabbari; Hossein Sameti; Sara Bahaadini (IST, 2012)

Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. - Fattaneh Jabbari; Mohammad Hassan Falakmasir; Kevin D. Ashley (FLAIRS, 2016)

Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints. - Fattaneh Jabbari; Joseph D. Ramsey; Peter Spirtes; Gregory F. Cooper (ECML/PKDD (2), 2017)

Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration. - Fattaneh Jabbari; Mahdi Pakdaman Naeini; Gregory F. Cooper (CoRR, 2017)

Instance-Specific Bayesian Network Structure Learning. - Fattaneh Jabbari; Shyam Visweswaran; Gregory F. Cooper (PGM, 2018)

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. - Fattaneh Jabbari; Shyam Visweswaran; Gregory F. Cooper (BIBM, 2019)

Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. - Fattaneh Jabbari; Liza C. Villaruz; Mike Davis; Gregory F. Cooper (AIME, 2020)

An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. - Fattaneh Jabbari; Gregory F. Cooper (SDM, 2020)

Causal and interventional Markov boundaries. - Sofia Triantafillou; Fattaneh Jabbari; Gregory F. Cooper (UAI, 2021)

Causal Markov Boundaries. - Sofia Triantafillou; Fattaneh Jabbari; Gregory F. Cooper (CoRR, 2021)

An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. - Xueer Chen; Lujia Chen 001; Cornelius H. L. Kürten; Fattaneh Jabbari; Lazar Vujanovic; Ying Ding 003; Binfeng Lu; Kevin Lu; Aditi Kulkarni; Tracy Tabib; Robert Lafyatis; Gregory F. Cooper; et al. (PLoS Comput. Biol., 2022)

Learning Treatment Effects from Observational and Experimental Data. - Sofia Triantafillou; Fattaneh Jabbari; Gregory F. Cooper (AISTATS, 2023)