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Farzaneh Khoshnevisan
Farzaneh Khoshnevisan
Senior Data Scientist, Intuit
Verified email at intuit.com
Title
Cited by
Cited by
Year
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features
N Gitinabard, F Khoshnevisan, CF Lynch, EY Wang
Educational Data Mining 2018, 2018
552018
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks
Y Mao, R Zhi, F Khoshnevisan, T Price, T Barnes, M Chi
Proceedings of The 12th International Conference on Educational Data Mining …, 2019
432019
Recent Temporal Pattern Mining for Septic Shock Early Prediction
F Khoshnevisan, J Ivy, M Capan, R Arnold, JM Huddleston, M Chi
2018 IEEE International Conference on Healthcare Informatics (ICHI) (2018 …, 2018
402018
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
F Khoshnevisan, M Chi
2020 IEEE International Conference on Big Data, 2020
122020
Unifying Domain Adaptation and Domain Generalization for Robust Prediction across Minority Racial Groups
F Khoshnevisan, M Chi
102021
Cross-Lingual Adversarial Domain Adaptation for Novice Programming
Y Mao, F Khoshnevisan, T Price, T Barnes, M Chi
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7682-7690, 2022
62022
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection
F Khoshnevisan, Z Fan, VR Carvalho
The 6th KDD Workshop on Mining and Learning from Time Series, 2020
62020
Convolutional recurrent generative adversarial network for anomaly detection
FAN Zhewen, F Khoshnevisan
US Patent App. 16/985,467, 2021
52021
Missing data imputation for MIMIC-III using matrix decomposition
X Yang, YJ Kim, F Khoshnevisan, Y Zhang, M Chi
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019
52019
Your actions or your associates? Predicting certification and dropout in MOOCs with behavioral and social features. arXiv 2018
N Gitinabard, F Khoshnevisan, CF Lynch, EY Wang
arXiv preprint arXiv:1809.00052, 0
5
Rsm-gan: A convolutional recurrent gan for anomaly detection in contaminated seasonal multivariate time series
F Khoshnevisan, Z Fan
arXiv preprint arXiv:1911.07104, 2019
42019
Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions
A Jazayeri, M Capan, C Yang, F Khoshnevisan, M Chi, R C. Arnold
The 10th ACM Conference on Bioinformatics, Computational Biology, and Health …, 2019
42019
Reconstructing missing ehrs using time-aware within-and cross-visit information for septic shock early prediction
G Gao, F Khoshnevisan, M Chi
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022
32022
A Variational Recurrent Adversarial Multi-Source Domain Adaptation Framework for Septic Shock Early Prediction Across Medical Systems
F Khoshnevisan
North Carolina State University, 2021
22021
Method and system of automatically predicting anomalies in online forms
J Kalyanam, FAN Zhewen, K Byungkyu, KE Swift-spong, ...
US Patent 11,620,274, 2023
2023
Calibrated risk scoring and sampling
KE Swift-spong, S Narayanaswamy, CA Oliveira, K Byungkyu, ...
US Patent App. 17/390,816, 2023
2023
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