Farzaneh Khoshnevisan

14 papers A* 1B 2Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2022 A* conf
Cross-Lingual Adversarial Domain Adaptation for Novice Programming.
AAAI
Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
2022 — conf
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction.
ICHI
Ge Gao, Farzaneh Khoshnevisan, Min Chi
2022 J jnl
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction.
CoRR
Ge Gao, Farzaneh Khoshnevisan, Min Chi
2021 — conf
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups.
ECML/PKDD (1)
Farzaneh Khoshnevisan, Min Chi
2020 — conf
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems.
IEEE BigData
Farzaneh Khoshnevisan, Min Chi
2020 J jnl
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems.
CoRR
Farzaneh Khoshnevisan, Min Chi
2020 J jnl
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection.
CoRR
Farzaneh Khoshnevisan, Zhewen Fan, Vitor R. Carvalho
2019 — conf
Missing Data Imputation for MIMIC-III using Matrix Decomposition.
ICHI
Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi
2019 — conf
Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions.
BCB
Ali Jazayeri, Muge Capan, Christopher C. Yang, Farzaneh Khoshnevisan, Min Chi, Ryan Arnold
2019 B conf
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks.
EDM
Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
2019 J jnl
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series.
CoRR
Farzaneh Khoshnevisan, Zhewen Fan
2018 — conf
Recent Temporal Pattern Mining for Septic Shock Early Prediction.
ICHI
Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi
2018 B conf
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features.
EDM
Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang
2018 J jnl
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features.
CoRR
Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling