:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Minus, Emily, Coley, R. Yates, Shortreed, Susan M., Williamson, Brian D.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2504.16185
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
di: Runjia Zou, et al.
Pubblicazione: (2026)

Evaluating Clinical Implementation of Risk Prediction Based Interventions Using Difference‐In‐Differences
di: Maricela Cruz, et al.
Pubblicazione: (2025)

Performance of weakly-supervised electronic health record-based phenotyping methods in rare-outcome settings
di: Hong, Yunjing, et al.
Pubblicazione: (2026)

Trustworthy predictive distributions for rare events via diagnostic transport maps
di: Cucuzzella, Elizabeth, et al.
Pubblicazione: (2026)

The surprising efficiency of temporal difference learning for rare event prediction
di: Cheng, Xiaoou, et al.
Pubblicazione: (2024)

Efficient nonparametric statistical inference on population feature importance using Shapley values
di: Williamson, Brian D., et al.
Pubblicazione: (2020)

FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations
di: Sire, Charlie, et al.
Pubblicazione: (2023)

Practical considerations for variable screening in the super learner
di: Williamson, Brian D., et al.
Pubblicazione: (2023)

Statistical multi-metric evaluation and visualization of LLM system predictive performance
di: Ackerman, Samuel, et al.
Pubblicazione: (2025)

Formalising causal inference as prediction on a target population
di: Höltgen, Benedikt, et al.
Pubblicazione: (2024)

Efficient and Programmable Exploration of Synthesizable Chemical Space
di: Luo, Shitong, et al.
Pubblicazione: (2025)

Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
di: Qiu, Sky, et al.
Pubblicazione: (2026)

Electron flow matching for generative reaction mechanism prediction obeying conservation laws
di: Joung, Joonyoung F., et al.
Pubblicazione: (2025)

Challenging reaction prediction models to generalize to novel chemistry
di: Bradshaw, John, et al.
Pubblicazione: (2025)

The impact of conformer quality on learned representations of molecular conformer ensembles
di: Adams, Keir, et al.
Pubblicazione: (2025)

Generalized Prediction-Powered Inference, with Application to Binary Classifier Evaluation
di: Zou, Runjia, et al.
Pubblicazione: (2026)

Robust performance metrics for imbalanced classification problems
di: Holzmann, Hajo, et al.
Pubblicazione: (2024)

A general framework for inference on algorithm-agnostic variable importance
di: Williamson, Brian D., et al.
Pubblicazione: (2020)

AI-boosted rare event sampling to characterize extreme weather
di: Lancelin, Amaury, et al.
Pubblicazione: (2025)

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition
di: Mahmoud, Chiheb Ben, et al.
Pubblicazione: (2024)

Label-free estimation of clinically relevant performance metrics under distribution shifts
di: Flühmann, Tim, et al.
Pubblicazione: (2025)

A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
di: Lo, Alston, et al.
Pubblicazione: (2025)

Evidential time-to-event prediction with calibrated uncertainty quantification
di: Huang, Ling, et al.
Pubblicazione: (2024)

Estimation of AMOC transition probabilities using a machine learning based rare-event algorithm
di: Jacques-Dumas, Valérian, et al.
Pubblicazione: (2024)

Tracking large chemical reaction networks and rare events by neural networks
di: Weng, Jiayu, et al.
Pubblicazione: (2025)

Flexible variable selection in the presence of missing data
di: Williamson, B. D., et al.
Pubblicazione: (2022)

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
di: Yuan, Han, et al.
Pubblicazione: (2021)

Online learning in bandits with predicted context
di: Guo, Yongyi, et al.
Pubblicazione: (2023)

Uncertainty measurement for complex event prediction in safety-critical systems
di: Peixoto, Maria J. P., et al.
Pubblicazione: (2024)

ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
di: Adams, Keir, et al.
Pubblicazione: (2024)

Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
di: Pagán, Josué, et al.
Pubblicazione: (2024)

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention
di: Williamson, Brian D., et al.
Pubblicazione: (2023)

Anticipating the Selectivity of Intramolecular Cyclization Reaction Pathways with Neural Network Potentials
di: Casetti, Nicholas, et al.
Pubblicazione: (2025)

Capability of using the normalizing flows for extraction rare gamma events in the TAIGA experiment
di: Kryukov, A. P., et al.
Pubblicazione: (2025)

Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
di: Gao, Wenhao, et al.
Pubblicazione: (2024)

Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
di: Wu, Luhuan, et al.
Pubblicazione: (2024)

The Certainty Ratio $C_ρ$: a novel metric for assessing the reliability of classifier predictions
di: Aguilar-Ruiz, Jesus S.
Pubblicazione: (2024)

Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models
di: Alves, Bruna, et al.
Pubblicazione: (2026)

An evidential time-to-event prediction model based on Gaussian random fuzzy numbers
di: Huang, Ling, et al.
Pubblicazione: (2024)

3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells
di: Vargas, Ricardo Emanuel Vaz, et al.
Pubblicazione: (2025)