Farzaneh Khoshnevisan
Farzaneh Khoshnevisan
Senior Data Scientist, Intuit
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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
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
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
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
Unifying Domain Adaptation and Domain Generalization for Robust Prediction across Minority Racial Groups
F Khoshnevisan, M Chi
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
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
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
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
Convolutional recurrent generative adversarial network for anomaly detection
FAN Zhewen, F Khoshnevisan
US Patent App. 16/985,467, 2021
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
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
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
A Variational Recurrent Adversarial Multi-Source Domain Adaptation Framework for Septic Shock Early Prediction Across Medical Systems
F Khoshnevisan
North Carolina State University, 2021
Framework agnostic summarization of multi-channel communication
FAN Zhewen, F Khoshnevisan, K Byungkyu, Y Wang, S Sharma
US Patent 11,783,112, 2023
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
Calibrated risk scoring and sampling
KE Swift-spong, S Narayanaswamy, CA Oliveira, K Byungkyu, ...
US Patent App. 17/390,816, 2023
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