To impute or not to impute: How machine learning modelers treat missing data
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Wanyi, Cummings, Mary |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compositional learning of functions in humans and machines
by: Zhou, Yanli, et al.
Published: (2024)
by: Zhou, Yanli, et al.
Published: (2024)
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
by: Rao, Akash K, et al.
Published: (2024)
by: Rao, Akash K, et al.
Published: (2024)
Using GPT-4 to guide causal machine learning
by: Constantinou, Anthony C., et al.
Published: (2024)
by: Constantinou, Anthony C., et al.
Published: (2024)
Can humans teach machines to code?
by: Hocquette, Céline, et al.
Published: (2024)
by: Hocquette, Céline, et al.
Published: (2024)
Exploring the impact of virtual reality user engagement on tourist behavioral response integrated an environment concern of touristic travel perspective: A new hybrid machine learning approach
by: Shang, D. W.
Published: (2024)
by: Shang, D. W.
Published: (2024)
Assessing cognitive function among older adults using machine learning and wearable device data: a feasibility study
by: Sakal, Collin, et al.
Published: (2023)
by: Sakal, Collin, et al.
Published: (2023)
Tailoring deep learning for real-time brain-computer interfaces: From offline models to calibration-free online decoding
by: Wimpff, Martin, et al.
Published: (2025)
by: Wimpff, Martin, et al.
Published: (2025)
SEGAN: semi-supervised learning approach for missing data imputation
by: Pan, Xiaohua, et al.
Published: (2024)
by: Pan, Xiaohua, et al.
Published: (2024)
The Duet of Representations and How Explanations Exacerbate It
by: Wan, Charles, et al.
Published: (2024)
by: Wan, Charles, et al.
Published: (2024)
From $t$-SNE to UMAP with contrastive learning
by: Damrich, Sebastian, et al.
Published: (2022)
by: Damrich, Sebastian, et al.
Published: (2022)
Machine learning approach in the development of building occupant personas
by: Anik, Sheik Murad Hassan, et al.
Published: (2022)
by: Anik, Sheik Murad Hassan, et al.
Published: (2022)
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
by: Beck, Jacob, et al.
Published: (2025)
by: Beck, Jacob, et al.
Published: (2025)
Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges
by: Hatherley, Joshua, et al.
Published: (2025)
by: Hatherley, Joshua, et al.
Published: (2025)
Detecting cyberbullying in Spanish texts through deep learning techniques
by: Cumba-Armijos, Paúl, et al.
Published: (2025)
by: Cumba-Armijos, Paúl, et al.
Published: (2025)
Distinguishing performance gains from learning when using generative AI
by: Yan, Lixiang, et al.
Published: (2026)
by: Yan, Lixiang, et al.
Published: (2026)
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
by: Park, Unnseo, et al.
Published: (2024)
by: Park, Unnseo, et al.
Published: (2024)
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
by: Choi, Ryuhaerang, et al.
Published: (2024)
by: Choi, Ryuhaerang, et al.
Published: (2024)
Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations
by: Röber, Tabea E., et al.
Published: (2026)
by: Röber, Tabea E., et al.
Published: (2026)
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
by: Rosenberger, Julian, et al.
Published: (2025)
by: Rosenberger, Julian, et al.
Published: (2025)
Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
by: Mahmoudi-Nejad, Athar, et al.
Published: (2024)
by: Mahmoudi-Nejad, Athar, et al.
Published: (2024)
Clinician input steers frontier AI models toward both accurate and harmful decisions
by: Lopez, Ivan, et al.
Published: (2026)
by: Lopez, Ivan, et al.
Published: (2026)
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
Comparison of gait phase detection using traditional machine learning and deep learning techniques
by: Nazari, Farhad, et al.
Published: (2024)
by: Nazari, Farhad, et al.
Published: (2024)
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
by: Chen, John, et al.
Published: (2025)
by: Chen, John, et al.
Published: (2025)
Pre-trained Transformer-models using chronic invasive electrophysiology for symptom decoding without patient-individual training
by: Merk, Timon, et al.
Published: (2025)
by: Merk, Timon, et al.
Published: (2025)
Another look at statistical inference with machine learning-imputed data
by: Gronsbell, Jessica, et al.
Published: (2024)
by: Gronsbell, Jessica, et al.
Published: (2024)
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
by: Enokibori, Yu
Published: (2023)
by: Enokibori, Yu
Published: (2023)
How many labelers do you have? A closer look at gold-standard labels
by: Cheng, Chen, et al.
Published: (2022)
by: Cheng, Chen, et al.
Published: (2022)
A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
by: Chen, Chi-Sheng, et al.
Published: (2026)
by: Chen, Chi-Sheng, et al.
Published: (2026)
Nirvana AI Governance: How AI Policymaking Is Committing Three Old Fallacies
by: Zhang, Jiawei
Published: (2024)
by: Zhang, Jiawei
Published: (2024)
Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs
by: Yang, Xiaoxiao, et al.
Published: (2025)
by: Yang, Xiaoxiao, et al.
Published: (2025)
ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
by: Xu, Xueyuan, et al.
Published: (2025)
by: Xu, Xueyuan, et al.
Published: (2025)
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
by: Gong, Jiahui, et al.
Published: (2024)
by: Gong, Jiahui, et al.
Published: (2024)
MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow
by: Jiang, Yuan-Hao, et al.
Published: (2025)
by: Jiang, Yuan-Hao, et al.
Published: (2025)
Participation in the age of foundation models
by: Suresh, Harini, et al.
Published: (2024)
by: Suresh, Harini, et al.
Published: (2024)
Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?
by: Wang, Bo, et al.
Published: (2025)
by: Wang, Bo, et al.
Published: (2025)
Signals of Success and Struggle: Early Prediction and Physiological Signatures of Human Performance across Task Complexity
by: Cao, Yufei, et al.
Published: (2026)
by: Cao, Yufei, et al.
Published: (2026)
HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
by: Zhang, Haodong, et al.
Published: (2026)
by: Zhang, Haodong, et al.
Published: (2026)
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
by: Guerdan, Luke, et al.
Published: (2025)
by: Guerdan, Luke, et al.
Published: (2025)
GUIDE: Real-Time Human-Shaped Agents
by: Zhang, Lingyu, et al.
Published: (2024)
by: Zhang, Lingyu, et al.
Published: (2024)
Similar Items
-
Compositional learning of functions in humans and machines
by: Zhou, Yanli, et al.
Published: (2024) -
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
by: Rao, Akash K, et al.
Published: (2024) -
Using GPT-4 to guide causal machine learning
by: Constantinou, Anthony C., et al.
Published: (2024) -
Can humans teach machines to code?
by: Hocquette, Céline, et al.
Published: (2024) -
Exploring the impact of virtual reality user engagement on tourist behavioral response integrated an environment concern of touristic travel perspective: A new hybrid machine learning approach
by: Shang, D. W.
Published: (2024)