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Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models

https://doi.org/10.5772/intechopen.92172

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-05318-5_2openalex-snapshot

Meta-Learning

inferredcites →https://doi.org/10.1007/978-3-030-28553-1_11openalex-snapshot

Classification and Clustering Algorithms of Machine Learning with their Applications

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A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

inferredcites →https://doi.org/10.1016/b978-0-12-815739-8.00017-1openalex-snapshot

Bias, noise, and interpretability in machine learning

inferredcites →https://doi.org/10.1016/j.artint.2018.07.007openalex-snapshot

Explanation in artificial intelligence: Insights from the social sciences

inferredcites →https://doi.org/10.1016/j.tics.2019.02.006openalex-snapshot

Reinforcement Learning, Fast and Slow

inferredcites →https://doi.org/10.1016/s0893-6080(02)00228-9openalex-snapshot

Meta-learning in Reinforcement Learning

inferredcites →https://doi.org/10.1023/a:1019956318069openalex-snapshot

A Perspective View and Survey of Meta-Learning

inferredcites →https://doi.org/10.1038/s41467-023-39536-9openalex-snapshot

Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance

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/10.1109/access.2019.2893141openalex-snapshot

Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles

inferredcites →https://doi.org/10.1109/mci.2018.2881645openalex-snapshot

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

inferredcites →https://doi.org/10.1109/tevc.2019.2890858openalex-snapshot

One Pixel Attack for Fooling Deep Neural Networks

inferredcites →https://doi.org/10.1145/170088.170160openalex-snapshot

Experiments on multistrategy learning by meta-learning

inferredcites →https://doi.org/10.1145/3183399.3183424openalex-snapshot

Explainable software analytics

inferredcites →https://doi.org/10.1145/3183654.3183683openalex-snapshot

Designing Explainability of an Artificial Intelligence System

inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot

DARPA's Explainable Artificial Intelligence Program

inferredcites →https://doi.org/10.21236/ada459166openalex-snapshot

Building Explainable Artificial Intelligence Systems

inferredcites →https://doi.org/10.23919/mipro.2018.8400040openalex-snapshot

Explainable artificial intelligence: A survey

inferredcites →https://doi.org/10.3390/info11020122openalex-snapshot

On the Integration of Knowledge Graphs into Deep Learning Models for a More Comprehensible AI—Three Challenges for Future Research

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1708.08296openalex-snapshot

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models

inferredcites →https://doi.org/10.48550/arxiv.1710.09767openalex-snapshot

Meta Learning Shared Hierarchies

inferredcites →https://doi.org/10.48550/arxiv.1711.01244openalex-snapshot

Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory

inferredcites →https://doi.org/10.48550/arxiv.1903.02710openalex-snapshot

Concurrent Meta Reinforcement Learning

inferredcites →https://doi.org/10.48550/arxiv.1903.08254openalex-snapshot

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

inferredcites →https://doi.org/10.48550/arxiv.1912.05911openalex-snapshot

Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

What points at this work

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

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Neurocomputational Models for Emotional Intelligence in Robotics

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Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge

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Advances in XAI: Explanation Interfaces in Healthcare

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Wearable Sensor Signals: An Overview of the AI Models Most Commonly Applied to Time Series Data Analysis

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Interval Type-2 Fuzzy Kalman Filtering and Forecasting of the Dynamic Spread Behavior of Novel Coronavirus 2019

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Neural Additive Models for Explainable Heart Attack Prediction

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Integration of Local and Global Features Explanation with Global Rules Extraction and Generation Tools

inferred← citeshttps://doi.org/10.1007/978-3-031-18292-1_4openalex-snapshot

Explainable AI (XAI): A Survey of Current and Future Opportunities

inferred← citeshttps://doi.org/10.1007/978-3-031-58174-8_24openalex-snapshot

Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective

inferred← citeshttps://doi.org/10.1007/978-3-031-94637-0_4openalex-snapshot

Impact of XAI and Integrated Distributed Deep Learning in Industry 4.0

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A Short Review on XAI Techniques in Text Data

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Explainable artificial intelligence: a comprehensive review

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Explainable deep neural networks for novel viral genome prediction

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AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations

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Real-time explainable IoT security with machine learning and CTGAN-enhanced detection for resource-constrained devices

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Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)

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A survey of visual analytics for Explainable Artificial Intelligence methods

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Instance-based defense against adversarial attacks in Deep Reinforcement Learning

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Artificial intelligence based object detection and traffic prediction by autonomous vehicles – A review

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Pulse-line intersection method with unboxed artificial intelligence for hesitant pulse wave classification

inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.136605openalex-snapshot

Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers

inferred← citeshttps://doi.org/10.1016/j.jwpe.2022.102808openalex-snapshot

Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network

inferred← citeshttps://doi.org/10.1016/j.techfore.2022.122120openalex-snapshot

Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

inferred← citeshttps://doi.org/10.1109/access.2024.3440647openalex-snapshot

A Systematic Literature Review on AI Safety: Identifying Trends, Challenges, and Future Directions

inferred← citeshttps://doi.org/10.1109/ceria64726.2024.10915113openalex-snapshot

Recent Applications Using Explainable Artificial Intelligence for Data Analytics

inferred← citeshttps://doi.org/10.1109/csde56538.2022.10089310openalex-snapshot

Explainable AI Based Glaucoma Detection Using Transfer Learning and LIME

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Explainable AI; Are we there yet?

inferred← citeshttps://doi.org/10.1109/iv60283.2023.00048openalex-snapshot

Artificial Intelligence in Visual Analytics

inferred← citeshttps://doi.org/10.1109/tcc.2025.3634737openalex-snapshot

Explainable Graph Ensemble Learning for Multivariate Time Series Anomaly Detection in Cloud Microservice Architectures

inferred← citeshttps://doi.org/10.1145/3457187openalex-snapshot

Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis

inferred← citeshttps://doi.org/10.1186/s40537-021-00445-7openalex-snapshot

A survey on artificial intelligence assurance

inferred← citeshttps://doi.org/10.32604/cmes.2024.051363openalex-snapshot

Explainable Artificial Intelligence (XAI) Model for Cancer Image Classification

inferred← citeshttps://doi.org/10.3390/info15110681openalex-snapshot

Identifying Learners’ Confusion in a MOOC Forum Across Domains Using Explainable Deep Transfer Learning

inferred← citeshttps://doi.org/10.35940/ijrte.c8140.13030924openalex-snapshot

The Impact of GHG Emissions on Human Health and its Environment using XAI

inferred← citeshttps://doi.org/10.4018/979-8-3373-5258-9.ch001openalex-snapshot

Pharmaceuticals in the AI Age

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A Breast Density Classification System for Mammography Considering Reliability Issues in Deep Learning

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