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Explainable Machine Learning

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-93736-2_33openalex-snapshot

The Next Frontier: AI We Can Really Trust

inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

inferredcites →https://doi.org/10.3390/make2030016openalex-snapshot

A Hybrid Artificial Neural Network to Estimate Soil Moisture Using SWAT+ and SMAP Data

inferredcites →https://doi.org/10.3390/make2040022openalex-snapshot

Concept Discovery for The Interpretation of Landscape Scenicness

inferredcites →https://doi.org/10.3390/make3010003openalex-snapshot

Robust Learning with Implicit Residual Networks

inferredcites →https://doi.org/10.3390/make3030033openalex-snapshot

Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME

inferredcites →https://doi.org/10.3390/make4010008openalex-snapshot

Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-63280-8_30openalex-snapshot

Effective Machine Learning Models for Predicting SPT N of Reclaimed Jolshiri Area, Dhaka

inferred← citeshttps://doi.org/10.1016/j.jbi.2026.104998openalex-snapshot

AFTS: A patient-agnostic encoder–decoder architecture with directional attention for blood glucose forecasting

inferred← citeshttps://doi.org/10.1016/j.trac.2025.118207openalex-snapshot

The role and choice of molecular descriptors for predicting retention times in HPLC: A comprehensive review

inferred← citeshttps://doi.org/10.1109/mgrs.2023.3341949openalex-snapshot

Computer Vision for Earth Observation: The Second GRSS Image Analysis and Data Fusion School [Technical Committees]

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3412629openalex-snapshot

Self-Supervised Pretraining With Monocular Height Estimation for Semantic Segmentation

inferred← citeshttps://doi.org/10.3389/frai.2024.1479855openalex-snapshot

A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities

inferred← citeshttps://doi.org/10.3390/jcm12144830openalex-snapshot

Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise

inferred← citeshttps://doi.org/10.3390/make6030071openalex-snapshot

A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability

inferred← citeshttps://doi.org/10.3390/make7010017openalex-snapshot

Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data

inferred← citeshttps://doi.org/10.3390/make8010024openalex-snapshot

COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AI

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