Mike Van Ness

11 papers A* 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Interpretable Prediction and Feature Selection for Survival Analysis.
KDD (1)
Mike Van Ness, Madeleine Udell
2025 J jnl
dnamite: A Python Package for Neural Additive Models.
CoRR
Mike Van Ness, Madeleine Udell
2024 — conf
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models.
ML4H@NeurIPS
Mike Van Ness, Billy Block, Madeleine Udell
2024 J jnl
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models.
CoRR
Mike Van Ness, Billy Block, Madeleine Udell
2024 J jnl
Interpretable Prediction and Feature Selection for Survival Analysis.
CoRR
Mike Van Ness, Madeleine Udell
2023 J jnl
Cross-Frequency Time Series Meta-Forecasting.
CoRR
Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy
2023 — conf
Interpretable Survival Analysis for Heart Failure Risk Prediction.
ML4H@NeurIPS
Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023 J jnl
Interpretable Survival Analysis for Heart Failure Risk Prediction.
CoRR
Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023 A* conf
The Missing Indicator Method: From Low to High Dimensions.
KDD
Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2022 J jnl
The Missing Indicator Method: From Low to High Dimensions.
CoRR
Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2021 — conf
CDF Normalization for Controlling the Distribution of Hidden Nodes.
ICBINB@NeurIPS
Mike Van Ness, Madeleine Udell