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ORCIDFarzaneh Khoshnevisan
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2020 – today
- 2022
[c9]Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
Cross-Lingual Adversarial Domain Adaptation for Novice Programming. AAAI 2022: 7682-7690- [c8]Ge Gao, Farzaneh Khoshnevisan, Min Chi:
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. ICHI 2022: 151-162 - [i5]Ge Gao, Farzaneh Khoshnevisan, Min Chi:
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. CoRR abs/2203.08245 (2022) - 2021
- [c7]Farzaneh Khoshnevisan, Min Chi:
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups. ECML/PKDD (1) 2021: 521-537 - 2020
- [c6]Farzaneh Khoshnevisan, Min Chi:
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. IEEE BigData 2020: 64-73 - [i4]Farzaneh Khoshnevisan, Zhewen Fan, Vitor R. Carvalho:
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection. CoRR abs/2007.14254 (2020) - [i3]Farzaneh Khoshnevisan, Min Chi:
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. CoRR abs/2010.13952 (2020)
2010 – 2019
- 2019
- [c5]Ali Jazayeri, Muge Capan
, Christopher C. Yang, Farzaneh Khoshnevisan, Min Chi, Ryan Arnold:
Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions. BCB 2019: 87-96 - [c4]Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. EDM 2019 - [c3]Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi:
Missing Data Imputation for MIMIC-III using Matrix Decomposition. ICHI 2019: 1-3 - [i2]Farzaneh Khoshnevisan, Zhewen Fan:
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series. CoRR abs/1911.07104 (2019) - 2018
- [c2]Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang:
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features. EDM 2018 - [c1]Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi:
Recent Temporal Pattern Mining for Septic Shock Early Prediction. ICHI 2018: 229-240 - [i1]Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang:
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features. CoRR abs/1809.00052 (2018)
Coauthor Index
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