SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chen, Weijie, McMillan, Alan |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI
par: Terhag, F., et autres
Publié: (2023)
par: Terhag, F., et autres
Publié: (2023)
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
par: Ferdousi, Rahatara, et autres
Publié: (2025)
par: Ferdousi, Rahatara, et autres
Publié: (2025)
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
par: Yeh, Sing-Yuan, et autres
Publié: (2025)
par: Yeh, Sing-Yuan, et autres
Publié: (2025)
Semiparametric Spatiotemporal Model with Mixed Frequencies
par: Malabanan, Vladimir A., et autres
Publié: (2021)
par: Malabanan, Vladimir A., et autres
Publié: (2021)
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
par: Pan, Haonan, et autres
Publié: (2025)
par: Pan, Haonan, et autres
Publié: (2025)
Uncertainty-Calibrated Explainable Artificial Intelligence for Fetal Ultrasound Plane Classification: A Systematic Review
par: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et autres
Publié: (2026)
par: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et autres
Publié: (2026)
Beyond Lux thresholds: a systematic pipeline for classifying biologically relevant light contexts from wearable data
par: Zhou, Yanuo
Publié: (2025)
par: Zhou, Yanuo
Publié: (2025)
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
par: Knottenbelt, William, et autres
Publié: (2024)
par: Knottenbelt, William, et autres
Publié: (2024)
AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI
par: Shastry, Praveen, et autres
Publié: (2025)
par: Shastry, Praveen, et autres
Publié: (2025)
Differentially Private Fisher Randomization Tests for Binary Outcomes
par: Sun, Qingyang, et autres
Publié: (2025)
par: Sun, Qingyang, et autres
Publié: (2025)
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
par: Cheohen, Caio, et autres
Publié: (2025)
par: Cheohen, Caio, et autres
Publié: (2025)
Surjective Independence of Causal Influences for Local Bayesian Network Structures
par: Drury, Kieran, et autres
Publié: (2025)
par: Drury, Kieran, et autres
Publié: (2025)
Scalable Posterior Uncertainty for Flexible Density-Based Clustering
par: Bariletto, Nicola, et autres
Publié: (2026)
par: Bariletto, Nicola, et autres
Publié: (2026)
AI-Driven Decision Support in Oncology: Evaluating Data Readiness for Skin Cancer Treatment
par: Grüger, Joscha, et autres
Publié: (2025)
par: Grüger, Joscha, et autres
Publié: (2025)
Bayesian thresholded modeling for integrating brain node and network predictors
par: Sun, Zhe, et autres
Publié: (2024)
par: Sun, Zhe, et autres
Publié: (2024)
Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning
par: Fokoué, Ernest, et autres
Publié: (2026)
par: Fokoué, Ernest, et autres
Publié: (2026)
Model-free Sign Estimation for High-Throughput Screenings
par: Loper, Jackson, et autres
Publié: (2022)
par: Loper, Jackson, et autres
Publié: (2022)
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application
par: Kinjo, Keita
Publié: (2024)
par: Kinjo, Keita
Publié: (2024)
Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
par: Navas-Ortega, Ana Carmen, et autres
Publié: (2025)
par: Navas-Ortega, Ana Carmen, et autres
Publié: (2025)
Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
par: Kahouadji, Nabil
Publié: (2024)
par: Kahouadji, Nabil
Publié: (2024)
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
par: Altamirano, Sara, et autres
Publié: (2025)
par: Altamirano, Sara, et autres
Publié: (2025)
Genetic Profile-Based Drug Sensitivity Prediction in Acute Myeloid Leukemia Patients Using SVR
par: Ruhama, Sadia
Publié: (2025)
par: Ruhama, Sadia
Publié: (2025)
Optimal quantum locally differentially private mechanisms in the high-privacy regime
par: Yoshida, Yuuya
Publié: (2026)
par: Yoshida, Yuuya
Publié: (2026)
Vision-Language Models for Acute Tuberculosis Diagnosis: A Multimodal Approach Combining Imaging and Clinical Data
par: Ganapthy, Ananya, et autres
Publié: (2025)
par: Ganapthy, Ananya, et autres
Publié: (2025)
EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage
par: Young, Richard J., et autres
Publié: (2026)
par: Young, Richard J., et autres
Publié: (2026)
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
par: Drury, Kieran, et autres
Publié: (2025)
par: Drury, Kieran, et autres
Publié: (2025)
Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
par: Pinto, Pedro Henrique Ramos, et autres
Publié: (2026)
par: Pinto, Pedro Henrique Ramos, et autres
Publié: (2026)
Interaction Decomposition of prediction function
par: Iwasawa, Hirokazu, et autres
Publié: (2024)
par: Iwasawa, Hirokazu, et autres
Publié: (2024)
Recovering manifold structure in LLM responses through a joint Euclidean mirror
par: Baum, Maximilian, et autres
Publié: (2026)
par: Baum, Maximilian, et autres
Publié: (2026)
Quantum Measurement Statistics as Bayesian Uncertainty Estimators for Physics-Constrained Learning
par: Hewage, Prasad Nimantha Madusanka Ukwatta, et autres
Publié: (2026)
par: Hewage, Prasad Nimantha Madusanka Ukwatta, et autres
Publié: (2026)
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction
par: Chen, Weijie, et autres
Publié: (2025)
par: Chen, Weijie, et autres
Publié: (2025)
Improved subsample-and-aggregate via the private modified winsorized mean
par: Ramsay, Kelly, et autres
Publié: (2025)
par: Ramsay, Kelly, et autres
Publié: (2025)
Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology
par: Souverain, Thomas
Publié: (2025)
par: Souverain, Thomas
Publié: (2025)
A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
par: Aich, Agnideep, et autres
Publié: (2025)
par: Aich, Agnideep, et autres
Publié: (2025)
Application of Computer Deep Learning Model in Diagnosis of Pulmonary Nodules
par: Yang, Yutian, et autres
Publié: (2024)
par: Yang, Yutian, et autres
Publié: (2024)
Differentially private federated learning for localized control of infectious disease dynamics
par: Kerkouche, Raouf, et autres
Publié: (2025)
par: Kerkouche, Raouf, et autres
Publié: (2025)
Exchangeability and randomness for infinite and finite sequences
par: Vovk, Vladimir
Publié: (2025)
par: Vovk, Vladimir
Publié: (2025)
Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
par: Abtahi, Farhad, et autres
Publié: (2025)
par: Abtahi, Farhad, et autres
Publié: (2025)
Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity
par: Addeh, Abdoljalil, et autres
Publié: (2025)
par: Addeh, Abdoljalil, et autres
Publié: (2025)
Measuring Self-Rating Bias in LLM-Generated Survey Data: A Semantic Similarity Framework for Independent Scale Mapping
par: Pichardo, Eduardo Vera
Publié: (2026)
par: Pichardo, Eduardo Vera
Publié: (2026)
Documents similaires
-
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI
par: Terhag, F., et autres
Publié: (2023) -
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
par: Ferdousi, Rahatara, et autres
Publié: (2025) -
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
par: Yeh, Sing-Yuan, et autres
Publié: (2025) -
Semiparametric Spatiotemporal Model with Mixed Frequencies
par: Malabanan, Vladimir A., et autres
Publié: (2021) -
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
par: Pan, Haonan, et autres
Publié: (2025)