Cover Image

No imputation without representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lenz, Oliver Urs, Peralta, Daniel, Cornelis, Chris
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Polar Encoding: A Simple Baseline Approach for Classification with Missing Values
by: Lenz, Oliver Urs, et al.
Published: (2022)

A unified weighting framework for evaluating nearest neighbour classification
by: Lenz, Oliver Urs, et al.
Published: (2023)

Choquet-Based Fuzzy Rough Sets
by: Theerens, Adnan, et al.
Published: (2022)

Monotonic anomaly detection
by: Lenz, Oliver Urs, et al.
Published: (2024)

TREB: a BERT attempt for imputing tabular data imputation
by: Wang, Shuyue, et al.
Published: (2024)

Fuzzy Rough Sets Based on Fuzzy Quantification
by: Theerens, Adnan, et al.
Published: (2022)

Fuzzy Rough Choquet Distances for Classification
by: Theerens, Adnan, et al.
Published: (2024)

To impute or not to impute: How machine learning modelers treat missing data
by: Chen, Wanyi, et al.
Published: (2025)

Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
by: Theerens, Adnan, et al.
Published: (2025)

Imputation using training labels and classification via label imputation
by: Nguyen, Thu, et al.
Published: (2023)

Another look at statistical inference with machine learning-imputed data
by: Gronsbell, Jessica, et al.
Published: (2024)

SEGAN: semi-supervised learning approach for missing data imputation
by: Pan, Xiaohua, et al.
Published: (2024)

missForestPredict -- Missing data imputation for prediction settings
by: Albu, Elena, et al.
Published: (2024)

Iterative missing value imputation based on feature importance
by: Guo, Cong, et al.
Published: (2023)

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
by: Do, Tu T., et al.
Published: (2023)

Missing data imputation for noisy time-series data and applications in healthcare
by: Le, Lien P., et al.
Published: (2024)

Missing value imputation with adversarial random forests -- MissARF
by: Golchian, Pegah, et al.
Published: (2025)

Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
by: Liu, Ying, et al.
Published: (2023)

MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series
by: Ku, Dohyun, et al.
Published: (2025)

mDAE : modified Denoising AutoEncoder for missing data imputation
by: Dupuy, Mariette, et al.
Published: (2024)

Random features models: a way to study the success of naive imputation
by: Ayme, Alexis, et al.
Published: (2024)

Masking criteria for selecting an imputation model
by: Yang, Yanjiao, et al.
Published: (2025)

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
by: Liu, Mingxuan, et al.
Published: (2022)

Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
by: Schwerter, Jakob, et al.
Published: (2024)

Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024)

FRRI: a novel algorithm for fuzzy-rough rule induction
by: Bollaert, Henri, et al.
Published: (2024)

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
by: Liguori, Antonio, et al.
Published: (2023)

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
by: Banus, Jaume, et al.
Published: (2020)

No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
by: Legast, Magali, et al.
Published: (2026)

How many stations are sufficient? Exploring the effect of urban weather station density reduction on imputation accuracy of air temperature and humidity
by: Plein, Marvin, et al.
Published: (2025)

Boundary-enhanced time series data imputation with long-term dependency diffusion models
by: Xiao, Chunjing, et al.
Published: (2025)

Well log data generation and imputation using sequence-based generative adversarial networks
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)

Machine learning for four-dimensional SU(3) lattice gauge theories
by: Wenger, Urs
Published: (2026)

Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization
by: Manzhos, Sergei, et al.
Published: (2023)

FreqFlow: Long-term forecasting using lightweight flow matching
by: Moghadas, Seyed Mohamad, et al.
Published: (2025)

When Machine Learning Gets Personal: Evaluating Prediction and Explanation
by: Cornelis, Louisa, et al.
Published: (2025)

High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation
by: Camaño, Chris, et al.
Published: (2024)

High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates
by: Weberpals, Janick, et al.
Published: (2024)

Constrained belief updates explain geometric structures in transformer representations
by: Piotrowski, Mateusz, et al.
Published: (2025)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)