On the public citation graph

Concept-based Multi-objective Feature Attribution Explanation for Deep Image Classifiers

0 signed · 19 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10462-020-09825-6openalex-snapshot
A survey of the recent architectures of deep convolutional neural networks
inferredcites →https://doi.org/10.1007/s10852-005-9020-3openalex-snapshot
Ensemble Learning Using Multi-Objective Evolutionary Algorithms
inferredcites →https://doi.org/10.1016/j.neunet.2026.109520openalex-snapshot
Interpretable and fair generalized additive neural networks via multi-objective learning
inferredcites →https://doi.org/10.1016/j.patcog.2025.112811openalex-snapshot
Towards desiderata-driven design of visual counterfactual explainers
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/5.784219openalex-snapshot
Evolving artificial neural networks
inferredcites →https://doi.org/10.1109/72.572107openalex-snapshot
A new evolutionary system for evolving artificial neural networks
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/tai.2022.3194503openalex-snapshot
An Overview of Artificial Intelligence Ethics
inferredcites →https://doi.org/10.1109/tevc.2022.3209544openalex-snapshot
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning
inferredcites →https://doi.org/10.1109/tevc.2022.3225591openalex-snapshot
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification
inferredcites →https://doi.org/10.1109/tevc.2024.3476443openalex-snapshot
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
inferredcites →https://doi.org/10.1109/tkde.2010.26openalex-snapshot
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning
inferredcites →https://doi.org/10.1109/tnnls.2016.2599820openalex-snapshot
Evaluating the Visualization of What a Deep Neural Network Has Learned
inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
inferredcites →https://doi.org/10.1145/2522920.2522928openalex-snapshot
Software effort estimation as a multiobjective learning problem
inferredcites →https://doi.org/10.1145/3617380openalex-snapshot
Multi-objective Feature Attribution Explanation For Explainable Machine Learning
inferredcites →https://doi.org/10.1145/3702004openalex-snapshot
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?
inferredcites →https://doi.org/10.52202/075280-1573openalex-snapshot
GLIME: General, Stable and Local LIME Explanation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.