Fattaneh Jabbari

According to our database, Fattaneh Jabbari authored at least 15 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning Treatment Effects from Observational and Experimental Data.

Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.

Xueer Chen, Lujia Chen, Cornelius H. L. Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F. Cooper, Robert Ferris, Xinghua Lu

PLoS Comput. Biol., December, 2022

2021

Causal Markov Boundaries.

Sofia Triantafillou, Fattaneh Jabbari, Gregory Cooper

CoRR, 2021

Causal and interventional Markov boundaries.

Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables.

Fattaneh Jabbari, Gregory F. Cooper

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks.

Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning.

Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Instance-Specific Bayesian Network Structure Learning.

Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017

Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration.

Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper

CoRR, 2017

Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints.

Fattaneh Jabbari, Joseph D. Ramsey, Peter Spirtes, Gregory F. Cooper

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution.

Fattaneh Jabbari, Mohammad Hassan Falakmasir, Kevin D. Ashley

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2012

Active learning of EHVS parser for Persian language understanding.

Mohammad Amin Tajgardoon, Fattaneh Jabbari, Hossein Sameti, Sara Bahaadini

Proceedings of the 6th International Symposium on Telecommunications, 2012

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

Proceedings of the Fourth Workshop on Computational Approaches to Arabic-Script-based Languages, 2012

2011

Unilateral semi-supervised learning of extended hidden vector state for Persian Language Understanding.

Fattaneh Jabbari, Hossein Sameti, Mohammad Hadi Bokaei

Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

Persian language understanding using a two-step extended hidden vector state parser.

Fattaneh Jabbari, Hossein Sameti, Mohammad Hadi Bokaei

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011