CoSP: co-selection pick for a global explainability of black box machine learning models

Evaluating explainability for graph neural networks

(2023) Chirag Agarwal et al.   Scientific Data

Reinforced Causal Explainer for Graph Neural Networks

(2022) Xiang Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

(2022) Moritz Böhle et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Survey on the Explainability of Supervised Machine Learning

(2021) Nadia Burkart et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Deep Learning--based Text Classification

(2021) Shervin Minaee et al.   ACM COMPUTING SURVEYS

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

(2021) Marta Bistron et al.   Electronics

Similarity preserving feature generating networks for zero-shot learning

(2020) Yuanbo Ma et al.   NEUROCOMPUTING

Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis

(2020) Elizabeth A. Holm et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach

(2020) Khalid Benabdeslem et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DARPA’s Explainable Artificial Intelligence (XAI) Program

(2019) David Gunning et al.   AI MAGAZINE

Interpreting Deep Visual Representations via Network Dissection

(2018) Bolei Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Unsupervised feature selection based on self-representation sparse regression and local similarity preserving

(2017) Ronghua Shang et al.   International Journal of Machine Learning and Cybernetics

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A scalable approach to simultaneous evolutionary instance and feature selection

(2012) Nicolás García-Pedrajas et al.   INFORMATION SCIENCES

On Similarity Preserving Feature Selection

(2011) Zheng Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A review of instance selection methods

(2010) J. Arturo Olvera-López et al.   ARTIFICIAL INTELLIGENCE REVIEW

IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule

(2009) Joaquín Derrac et al.   PATTERN RECOGNITION