:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Devaux, Anthony, Genuer, Robin, Pérès, Karine, Proust-Lima, Cécile
Format:	Preprint
Published:	2021
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2102.01466
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Random survival forests with multivariate longitudinal endogenous covariates
by: Devaux, Anthony, et al.
Published: (2022)

Random Forests for time-fixed and time-dependent predictors: The DynForest R package
by: Devaux, Anthony, et al.
Published: (2023)

Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)

Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data
by: Ségalas, Corentin, et al.
Published: (2024)

Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data
by: Corentin Ségalas, et al.
Published: (2024)

Fréchet random forests for metric space valued regression with non euclidean predictors
by: Capitaine, Louis, et al.
Published: (2019)

Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
by: Ding, Xiucai, et al.
Published: (2024)

Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
by: Wang, Zijian, et al.
Published: (2025)

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?
by: Zajko, Antoni, et al.
Published: (2025)

Learning plug-in surrogate endpoints for randomized experiments
by: Margueritte, Alessandro-Umberto, et al.
Published: (2026)

Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
by: Saikai, Yuji, et al.
Published: (2023)

A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024)

Neumann eigenmaps for landmark embedding
by: Sule, Shashank, et al.
Published: (2025)

Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
by: Jonkers, Jef, et al.
Published: (2025)

Latent mixed-effect models for high-dimensional longitudinal data
by: Ong, Priscilla, et al.
Published: (2024)

Combining LLM decision and RL action selection to improve RL policy for adaptive interventions
by: Karine, Karine, et al.
Published: (2025)

StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention
by: Karine, Karine, et al.
Published: (2024)

A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach
by: Kaur, Navreet, et al.
Published: (2025)

Data/moment-driven approaches for fast predictive control of collective dynamics
by: Albi, Giacomo, et al.
Published: (2024)

Which images to label for few-shot medical landmark detection?
by: Quan, Quan, et al.
Published: (2021)

SeqRisk: Transformer-augmented latent variable model for robust survival prediction with longitudinal data
by: Öğretir, Mine, et al.
Published: (2024)

Breath as a biomarker: A survey of contact and contactless applications and approaches in respiratory monitoring
by: Wakili, Almustapha A., et al.
Published: (2025)

Embedding generalization within the learning dynamics: An approach based-on sample path large deviation theory
by: Befekadu, Getachew K.
Published: (2024)

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
by: Jonkers, Jef, et al.
Published: (2025)

ORIGAMI: A generative transformer architecture for predictions from semi-structured data
by: Rückstieß, Thomas, et al.
Published: (2024)

Can artificial intelligence predict clinical trial outcomes?
by: Jin, Shuyi, et al.
Published: (2024)

Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer's disease and related dementia
by: Lespinasse, Jérémie, et al.
Published: (2023)

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
by: Goda, Márton Á., et al.
Published: (2025)

Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States
by: Karine, Karine, et al.
Published: (2025)

BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
by: Karine, Karine, et al.
Published: (2024)

Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks
by: Ramos, Mayk Caldas, et al.
Published: (2023)

B-score: Detecting biases in large language models using response history
by: Vo, An, et al.
Published: (2025)

Three-dimensional signal processing: a new approach in dynamical sampling via tensor products
by: Wang, Yisen, et al.
Published: (2025)

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
by: Svensson, David, et al.
Published: (2025)

Feature importance to explain multimodal prediction models. A clinical use case
by: van de Beld, Jorn-Jan, et al.
Published: (2024)

An unified approach to link prediction in collaboration networks
by: Sosa, Juan, et al.
Published: (2024)

Digitally enriching a screening population for pancreatic cancer using routine blood-based measures and clinical histories
by: Varghese, Chris, et al.
Published: (2026)

Conformal prediction for multi-dimensional time series by ellipsoidal sets
by: Xu, Chen, et al.
Published: (2024)

MIEO: encoding clinical data to enhance cardiovascular event prediction
by: Borghini, Davide, et al.
Published: (2025)

In-context learning to predict critical transitions in dynamical systems
by: Sevinchan, Yunus, et al.
Published: (2026)