Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Fuente:
arXiv
Saved in:
| Main Authors: | Ballegeer, Matteo, Bogaert, Matthias, Benoit, Dries F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
by: Ballegeer, Matteo, et al.
Published: (2026)
by: Ballegeer, Matteo, et al.
Published: (2026)
BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
by: Ballegeer, Matteo, et al.
Published: (2026)
by: Ballegeer, Matteo, et al.
Published: (2026)
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Explainability through uncertainty: Trustworthy decision-making with neural networks
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN
by: Thuy, Arthur, et al.
Published: (2025)
by: Thuy, Arthur, et al.
Published: (2025)
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races
by: Baron, Ethan, et al.
Published: (2023)
by: Baron, Ethan, et al.
Published: (2023)
Evaluating language models as risk scores
by: Cruz, André F., et al.
Published: (2024)
by: Cruz, André F., et al.
Published: (2024)
Evaluating SAE interpretability without explanations
by: Paulo, Gonçalo, et al.
Published: (2025)
by: Paulo, Gonçalo, et al.
Published: (2025)
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
by: De Kerpel, Lukas, et al.
Published: (2026)
by: De Kerpel, Lukas, et al.
Published: (2026)
The more the merrier: logical and multistage processors in credit scoring
by: Pérez-Peralta, Arturo, et al.
Published: (2025)
by: Pérez-Peralta, Arturo, et al.
Published: (2025)
Filtering instances and rejecting predictions to obtain reliable models in healthcare
by: Valeriano, Maria Gabriela, et al.
Published: (2025)
by: Valeriano, Maria Gabriela, et al.
Published: (2025)
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
by: Mou, Wenlong, et al.
Published: (2021)
by: Mou, Wenlong, et al.
Published: (2021)
A cost-sensitive constrained Lasso
by: Blanquero, Rafael, et al.
Published: (2024)
by: Blanquero, Rafael, et al.
Published: (2024)
Introducing δ-XAI: a novel sensitivity-based method for local AI explanations
by: De Carlo, Alessandro, et al.
Published: (2024)
by: De Carlo, Alessandro, et al.
Published: (2024)
The foundations of cost-sensitive causal classification
by: Verbeke, Wouter, et al.
Published: (2020)
by: Verbeke, Wouter, et al.
Published: (2020)
LLM-Assisted Topic Reduction for BERTopic on Social Media Data
by: Janssens, Wannes, et al.
Published: (2025)
by: Janssens, Wannes, et al.
Published: (2025)
Beyond single-model XAI: aggregating multi-model explanations for enhanced trustworthiness
by: Vascotto, Ilaria, et al.
Published: (2025)
by: Vascotto, Ilaria, et al.
Published: (2025)
Provably tuning the ElasticNet across instances
by: Balcan, Maria-Florina, et al.
Published: (2022)
by: Balcan, Maria-Florina, et al.
Published: (2022)
Causal explanations of outliers in systems with lagged time-dependencies
by: Schwarz, Philipp Alexander, et al.
Published: (2026)
by: Schwarz, Philipp Alexander, et al.
Published: (2026)
Feature salience - not task-informativeness - drives machine learning model explanations
by: Clark, Benedict, et al.
Published: (2026)
by: Clark, Benedict, et al.
Published: (2026)
On GNN explanability with activation rules
by: Veyrin-Forrer, Luca, et al.
Published: (2024)
by: Veyrin-Forrer, Luca, et al.
Published: (2024)
The effect of whitening on explanation performance
by: Clark, Benedict, et al.
Published: (2026)
by: Clark, Benedict, et al.
Published: (2026)
Barycentric alignment for instance-level comparison of neural representations
by: Saha, Shreya, et al.
Published: (2026)
by: Saha, Shreya, et al.
Published: (2026)
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods
by: Clark, Benedict, et al.
Published: (2024)
by: Clark, Benedict, et al.
Published: (2024)
An effect analysis of the balancing techniques on the counterfactual explanations of student success prediction models
by: Cavus, Mustafa, et al.
Published: (2024)
by: Cavus, Mustafa, et al.
Published: (2024)
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk
by: Gunonu, Seyma, et al.
Published: (2024)
by: Gunonu, Seyma, et al.
Published: (2024)
Fast instance-specific algorithm configuration with graph neural network
by: Aihara, Shingo, et al.
Published: (2025)
by: Aihara, Shingo, et al.
Published: (2025)
Mathematically rigorous proofs for Shapley explanations
by: van Batenburg, David
Published: (2025)
by: van Batenburg, David
Published: (2025)
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
by: Dandl, Susanne, et al.
Published: (2024)
by: Dandl, Susanne, et al.
Published: (2024)
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
by: State, Laura, et al.
Published: (2025)
by: State, Laura, et al.
Published: (2025)
Geospatial Road Cycling Race Results Data Set
by: Janssens, Bram, et al.
Published: (2024)
by: Janssens, Bram, et al.
Published: (2024)
This part looks alike this: identifying important parts of explained instances and prototypes
by: Karolczak, Jacek, et al.
Published: (2025)
by: Karolczak, Jacek, et al.
Published: (2025)
IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
by: Apicella, Andrea, et al.
Published: (2025)
by: Apicella, Andrea, et al.
Published: (2025)
Effector: A Python package for regional explanations
by: Gkolemis, Vasilis, et al.
Published: (2024)
by: Gkolemis, Vasilis, et al.
Published: (2024)
Leveraging large language models for nano synthesis mechanism explanation: solid foundations or mere conjectures?
by: Pu, Yingming, et al.
Published: (2024)
by: Pu, Yingming, et al.
Published: (2024)
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
by: González-González, Jaime, et al.
Published: (2024)
by: González-González, Jaime, et al.
Published: (2024)
Integrating attention into explanation frameworks for language and vision transformers
by: Eggen, Marte, et al.
Published: (2025)
by: Eggen, Marte, et al.
Published: (2025)
MCCE: Monte Carlo sampling of realistic counterfactual explanations
by: Redelmeier, Annabelle, et al.
Published: (2021)
by: Redelmeier, Annabelle, et al.
Published: (2021)
Robust sensitivity control in digital pathology via tile score distribution matching
by: Pignet, Arthur, et al.
Published: (2025)
by: Pignet, Arthur, et al.
Published: (2025)
Similar Items
-
FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
by: Ballegeer, Matteo, et al.
Published: (2026) -
BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
by: Ballegeer, Matteo, et al.
Published: (2026) -
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
by: Thuy, Arthur, et al.
Published: (2024) -
Explainability through uncertainty: Trustworthy decision-making with neural networks
by: Thuy, Arthur, et al.
Published: (2024) -
Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN
by: Thuy, Arthur, et al.
Published: (2025)