Cover Image

CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Narteni, Sara, Carlevaro, Alberto, Dabbene, Fabrizio, Muselli, Marco, Mongelli, Maurizio
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A novel score function for conformal prediction in rule-based binary classification Author links open overlay panel
by: Narteni, Sara, et al.
Published: (2025)

Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation
by: Carlevaro, Alberto, et al.
Published: (2025)

Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification
by: Carlevaro, Alberto, et al.
Published: (2024)

Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions
by: Narteni, Sara, et al.
Published: (2024)

Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
by: Toscano-Duran, Victor, et al.
Published: (2025)

Explainable Artificial Intelligence for identifying profitability predictors in Financial Statements
by: Piazza, Marco, et al.
Published: (2025)

Robustness of Explainable Artificial Intelligence in Industrial Process Modelling
by: Kantz, Benedikt, et al.
Published: (2024)

Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
by: Perera-Lago, Javier, et al.
Published: (2024)

Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
by: Salih, Ahmed M
Published: (2024)

One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION
by: Donati, Cesare, et al.
Published: (2023)

Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
by: Mikriukov, Georgii, et al.
Published: (2026)

Robust Intrusion Detection System with Explainable Artificial Intelligence
by: Paltun, Betül Güvenç, et al.
Published: (2025)

Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
by: Aysel, Halil Ibrahim, et al.
Published: (2025)

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
by: Abbaszadeh, Alireza, et al.
Published: (2025)

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
by: Salih, Ahmed, et al.
Published: (2023)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

Explainable Artificial Intelligence for Medical Applications: A Review
by: Sun, Qiyang, et al.
Published: (2024)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
by: Lopez-Ramos, Luis M., et al.
Published: (2024)

Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches
by: Salih, Ahmed M
Published: (2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)

A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
by: Gupta, Nitin, et al.
Published: (2025)

Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
by: Youwai, Sompote, et al.
Published: (2024)

Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024)

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
by: Dubovik, Viktar, et al.
Published: (2025)

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
by: Peracchio, Lorenzo, et al.
Published: (2024)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
by: Umm-e-Habiba, et al.
Published: (2022)

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
by: Kok, Ibrahim, et al.
Published: (2022)

Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey
by: Dagnaw, Getamesay Haile, et al.
Published: (2025)

Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
by: Bai, Samita, et al.
Published: (2024)

Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
by: Velmurugan, Mythreyi, et al.
Published: (2024)

Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients
by: Escudero-Arnanz, Óscar, et al.
Published: (2024)

Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence
by: Hsiao, Yen-Che, et al.
Published: (2024)

Uncertainty Quantification as a Principled Foundation for Explainable Artificial Intelligence: A Case Study of Counterfactual Explanations
by: Sokol, Kacper, et al.
Published: (2025)

Spallation Physics and the ADS Target Design
by: Sara T. Mongelli
Published: (2005)

Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023)

CktGen: Automated Analog Circuit Design with Generative Artificial Intelligence
by: Hou, Yuxuan, et al.
Published: (2024)

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design
by: Sisk, Samuel, et al.
Published: (2025)

Data Science Principles for Interpretable and Explainable AI
by: Sankaran, Kris
Published: (2024)

Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence
by: Huang, Xueting, et al.
Published: (2024)

Generalizability vs. Counterfactual Explainability Trade-Off
by: Veglianti, Fabiano, et al.
Published: (2025)