Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Eijpe, Aniek, Lakbir, Soufyan, Cesur, Melis Erdal, Oliveira, Sara P., Chatzimparmpas, Angelos, Abeln, Sanne, Silva, Wilson |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
by: Eijpe, Aniek, et al.
Published: (2025)
by: Eijpe, Aniek, et al.
Published: (2025)
Beyond Olfaction: New Insights into Human Odorant Binding Proteins
by: Chen, Mifen, et al.
Published: (2025)
by: Chen, Mifen, et al.
Published: (2025)
Beyond olfaction: New insights into human odorant binding proteins
by: Mifen Chen, et al.
Published: (2026)
by: Mifen Chen, et al.
Published: (2026)
CIBRA identifies genomic alterations with a system-wide impact on tumor biology
by: Lakbir, Soufyan, et al.
Published: (2024)
by: Lakbir, Soufyan, et al.
Published: (2024)
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)
by: Chatzimparmpas, Angelos
Published: (2025)
Enhancing Cross-Modal Medical Image Segmentation through Compositionality
by: Eijpe, Aniek, et al.
Published: (2024)
by: Eijpe, Aniek, et al.
Published: (2024)
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024)
by: Salmanian, Parisa, et al.
Published: (2024)
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
by: Ploshchik, Ilya, et al.
Published: (2022)
by: Ploshchik, Ilya, et al.
Published: (2022)
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
Explainable AI in Healthcare: to Explain, to Predict, or to Describe?
by: Carriero, Alex, et al.
Published: (2025)
by: Carriero, Alex, et al.
Published: (2025)
PLM-eXplain: Divide and Conquer the Protein Embedding Space
by: van Eck, Jan, et al.
Published: (2025)
by: van Eck, Jan, et al.
Published: (2025)
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
by: Zhang, Yilan, et al.
Published: (2024)
by: Zhang, Yilan, et al.
Published: (2024)
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
by: Zhang, Dongping, et al.
Published: (2024)
by: Zhang, Dongping, et al.
Published: (2024)
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
by: Teixeira, José, et al.
Published: (2025)
by: Teixeira, José, et al.
Published: (2025)
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
by: Chatzimparmpas, Angelos, et al.
Published: (2022)
by: Chatzimparmpas, Angelos, et al.
Published: (2022)
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
by: Jiang, Shuo, et al.
Published: (2025)
by: Jiang, Shuo, et al.
Published: (2025)
A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
by: Huang, Zeyang, et al.
Published: (2026)
by: Huang, Zeyang, et al.
Published: (2026)
LangLasso: Interactive Cluster Descriptions through LLM Explanation
by: Buchmüller, Raphael, et al.
Published: (2026)
by: Buchmüller, Raphael, et al.
Published: (2026)
Mimicking the Gas-Phase to Transport Odorants through the Nasal Mucus: Functional Insights into Odorant Binding Proteins
by: Paesani, Massimiliano, et al.
Published: (2024)
by: Paesani, Massimiliano, et al.
Published: (2024)
Odorant Binding Proteins Facilitate the Gas‐Phase Uptake of Odorants Through the Nasal Mucus
by: Massimiliano Paesani, et al.
Published: (2024)
by: Massimiliano Paesani, et al.
Published: (2024)
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
PatchProt: Hydrophobic patch prediction using protein foundation models
by: Gogishvili, Dea, et al.
Published: (2024)
by: Gogishvili, Dea, et al.
Published: (2024)
Training state-of-the-art pathology foundation models with orders of magnitude less data
by: Karasikov, Mikhail, et al.
Published: (2025)
by: Karasikov, Mikhail, et al.
Published: (2025)
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
by: Huang, Zeyang, et al.
Published: (2026)
by: Huang, Zeyang, et al.
Published: (2026)
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
How to Distinguish AI-Generated Images from Authentic Photographs
by: Kamali, Negar, et al.
Published: (2024)
by: Kamali, Negar, et al.
Published: (2024)
DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Angelos Chatzimparmpas, et al.
Published: (2024)
by: Angelos Chatzimparmpas, et al.
Published: (2024)
Neural Fluid Simulator With Hybrid Physical‐Visual Constraints
by: Feilong Du, et al.
Published: (2026)
by: Feilong Du, et al.
Published: (2026)
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
by: Long, Sheng, et al.
Published: (2025)
by: Long, Sheng, et al.
Published: (2025)
Decoupling Density Dynamics: A Neural Operator Framework for Adaptive Multi‐Fluid Interactions
by: Yalan Zhang, et al.
Published: (2025)
by: Yalan Zhang, et al.
Published: (2025)
Examination of diet quality and alcohol on serum IgG levels after first and second COVID‐19 vaccines
by: Fatih Cesur
Published: (2024)
by: Fatih Cesur
Published: (2024)
The Effect of Mandala Design Training on Perceptual Skills of Children With Specific Learning Disorder
by: Elifcan Cesur
Published: (2025)
by: Elifcan Cesur
Published: (2025)
Suggested Syllabus for World Englishes and Culture Elective Course at ELT Departments
by: Kürşat Cesur
Published: (2020)
by: Kürşat Cesur
Published: (2020)
Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI
by: Nalela, Polycarp, et al.
Published: (2025)
by: Nalela, Polycarp, et al.
Published: (2025)
Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance
by: Bağcı, Doğukan, et al.
Published: (2026)
by: Bağcı, Doğukan, et al.
Published: (2026)
Similar Items
-
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
by: Eijpe, Aniek, et al.
Published: (2025) -
Beyond Olfaction: New Insights into Human Odorant Binding Proteins
by: Chen, Mifen, et al.
Published: (2025) -
Beyond olfaction: New insights into human odorant binding proteins
by: Mifen Chen, et al.
Published: (2026) -
CIBRA identifies genomic alterations with a system-wide impact on tumor biology
by: Lakbir, Soufyan, et al.
Published: (2024) -
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)