Dual feature-based and example-based explanation methods
Fuente:
arXiv
Saved in:
| Main Authors: | Konstantinov, Andrei V., Kozlov, Boris V., Kirpichenko, Stanislav R., Utkin, Lev V. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
by: Kirpichenko, Stanislav, et al.
Published: (2026)
by: Kirpichenko, Stanislav, et al.
Published: (2026)
Generating Survival Interpretable Trajectories and Data
by: Konstantinov, Andrei V., et al.
Published: (2024)
by: Konstantinov, Andrei V., et al.
Published: (2024)
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
by: Kirpichenko, Stanislav R., et al.
Published: (2026)
by: Kirpichenko, Stanislav R., et al.
Published: (2026)
Survival Concept-Based Learning Models
by: Kirpichenko, Stanislav R., et al.
Published: (2025)
by: Kirpichenko, Stanislav R., et al.
Published: (2025)
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules
by: Utkin, Lev V., et al.
Published: (2024)
by: Utkin, Lev V., et al.
Published: (2024)
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
by: Konstantinov, Andrei V., et al.
Published: (2024)
by: Konstantinov, Andrei V., et al.
Published: (2024)
A novel gradient-based method for decision trees optimizing arbitrary differential loss functions
by: Konstantinov, Andrei V., et al.
Published: (2025)
by: Konstantinov, Andrei V., et al.
Published: (2025)
Survival Analysis as Imprecise Classification with Trainable Kernels
by: Konstantinov, Andrei V., et al.
Published: (2025)
by: Konstantinov, Andrei V., et al.
Published: (2025)
Towards a Relationship-Aware Transformer for Tabular Data
by: Konstantinov, Andrei V., et al.
Published: (2025)
by: Konstantinov, Andrei V., et al.
Published: (2025)
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
by: Dumaev, Rinat I., et al.
Published: (2024)
by: Dumaev, Rinat I., et al.
Published: (2024)
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
by: Utkin, Lev V., et al.
Published: (2024)
by: Utkin, Lev V., et al.
Published: (2024)
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions
by: Utkin, Lev V., et al.
Published: (2025)
by: Utkin, Lev V., et al.
Published: (2025)
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)
Towards a perturbation-based explanation for medical AI as differentiable programs
by: Abe, Takeshi, et al.
Published: (2025)
by: Abe, Takeshi, et al.
Published: (2025)
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
by: Buliga, Andrei, et al.
Published: (2024)
by: Buliga, Andrei, et al.
Published: (2024)
A comparative study on feature selection for a risk prediction model for colorectal cancer
by: Cueto-López, N., et al.
Published: (2024)
by: Cueto-López, N., et al.
Published: (2024)
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations
by: Bobek, Szymon, et al.
Published: (2023)
by: Bobek, Szymon, et al.
Published: (2023)
A Bayesian explanation of machine learning models based on modes and functional ANOVA
by: Long, Quan
Published: (2024)
by: Long, Quan
Published: (2024)
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)
A feature selection method based on Shapley values robust to concept shift in regression
by: Sebastián, Carlos, et al.
Published: (2023)
by: Sebastián, Carlos, et al.
Published: (2023)
Design Considerations in Offline Preference-based RL
by: Agarwal, Alekh, et al.
Published: (2025)
by: Agarwal, Alekh, et al.
Published: (2025)
Iterative missing value imputation based on feature importance
by: Guo, Cong, et al.
Published: (2023)
by: Guo, Cong, et al.
Published: (2023)
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
by: Prinzi, Francesco, et al.
Published: (2024)
by: Prinzi, Francesco, et al.
Published: (2024)
Towards plausibility in time series counterfactual explanations
by: Kostrzewa, Marcin, et al.
Published: (2026)
by: Kostrzewa, Marcin, et al.
Published: (2026)
From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence
by: Theiler, Raffael, et al.
Published: (2026)
by: Theiler, Raffael, et al.
Published: (2026)
How to safely discard features based on aggregate SHAP values
by: Bhattacharjee, Robi, et al.
Published: (2025)
by: Bhattacharjee, Robi, et al.
Published: (2025)
Enhancing interpretability of rule-based classifiers through feature graphs
by: Sirocchi, Christel, et al.
Published: (2025)
by: Sirocchi, Christel, et al.
Published: (2025)
EVAL: EigenVector-based Average-reward Learning
by: Adamczyk, Jacob, et al.
Published: (2025)
by: Adamczyk, Jacob, et al.
Published: (2025)
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!
by: Fang, Xiangxin, et al.
Published: (2024)
by: Fang, Xiangxin, et al.
Published: (2024)
Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
by: Ferreira, Yan V. G., et al.
Published: (2026)
by: Ferreira, Yan V. G., et al.
Published: (2026)
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
by: Janez-Martino, F., et al.
Published: (2024)
by: Janez-Martino, F., et al.
Published: (2024)
Permutation-based multi-objective evolutionary feature selection for high-dimensional data
by: Espinosa, Raquel, et al.
Published: (2025)
by: Espinosa, Raquel, et al.
Published: (2025)
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance
by: Kozielski, Michał, et al.
Published: (2024)
by: Kozielski, Michał, et al.
Published: (2024)
Ordering-based Causal Discovery via Generalized Score Matching
by: Vo, Vy, et al.
Published: (2026)
by: Vo, Vy, et al.
Published: (2026)
The Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization
by: Kravatskiy, Alexey, et al.
Published: (2025)
by: Kravatskiy, Alexey, et al.
Published: (2025)
Emergent properties with repeated examples
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Tell me why: Training preferences-based RL with human preferences and step-level explanations
by: Karalus, Jakob
Published: (2024)
by: Karalus, Jakob
Published: (2024)
FastODT: A tree-based framework for efficient continual learning
by: Bretsko, Daniel, et al.
Published: (2026)
by: Bretsko, Daniel, et al.
Published: (2026)
Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints
by: Bobek, Szymon, et al.
Published: (2025)
by: Bobek, Szymon, 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)
Similar Items
-
TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
by: Kirpichenko, Stanislav, et al.
Published: (2026) -
Generating Survival Interpretable Trajectories and Data
by: Konstantinov, Andrei V., et al.
Published: (2024) -
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
by: Kirpichenko, Stanislav R., et al.
Published: (2026) -
Survival Concept-Based Learning Models
by: Kirpichenko, Stanislav R., et al.
Published: (2025) -
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules
by: Utkin, Lev V., et al.
Published: (2024)