Exploring Evaluation Methods for Interpretable Machine Learning: A Survey

Exploring Evaluation Methods for Interpretable Machine Learning: A Survey

In recent times, the progress of machine learning has facilitated the development of decision support systems that exhibit predictive accuracy, surpassing human capabilities in certain scenarios. However, this improvement has come at the cost of increased model complexity, rendering them black-box m...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
स्वरूप:	लेख
भाषा:	English
प्रकाशित:	MDPI AG 2023-08-01
श्रृंखला:	Information
विषय:	interpretability explainable AI evaluating interpretability
ऑनलाइन पहुंच:	https://www.mdpi.com/2078-2489/14/8/469

समान संसाधन

Intrinsically Interpretable Gaussian Mixture Model
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प्रकाशित: (2023-03-01)

Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications
द्वारा: Ainura Tursunalieva, और अन्य
प्रकाशित: (2024-01-01)

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions
द्वारा: Marius FERSIGAN, और अन्य
प्रकाशित: (2021-09-01)

Effects of Class Imbalance Countermeasures on Interpretability
द्वारा: David Cemernek, और अन्य
प्रकाशित: (2024-01-01)

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
द्वारा: Vanessa Buhrmester, और अन्य
प्रकाशित: (2021-12-01)

Evaluating perceptual and semantic interpretability of saliency methods: A case study of melanoma
द्वारा: Harshit Bokadia, और अन्य
प्रकाशित: (2022-09-01)

Explainability of deep learning models in medical video analysis: a survey
द्वारा: Michal Kolarik, और अन्य
प्रकाशित: (2023-03-01)

TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification
द्वारा: V. A. Ashwath, और अन्य
प्रकाशित: (2023-01-01)

A Framework for Interpretability in Machine Learning for Medical Imaging
द्वारा: Alan Q. Wang, और अन्य
प्रकाशित: (2024-01-01)

A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine
द्वारा: Raquel González-Alday, और अन्य
प्रकाशित: (2023-09-01)

An Empirical Comparison of Interpretable Models to Post-Hoc Explanations
द्वारा: Parisa Mahya, और अन्य
प्रकाशित: (2023-05-01)

Exploring the Impact of Backbone Architecture on Explainable CNNs’ Interpretability
द्वारा: Ábel Portik, और अन्य
प्रकाशित: (2024-10-01)

Explainable AI: A Neurally-Inspired Decision Stack Framework
द्वारा: Muhammad Salar Khan, और अन्य
प्रकाशित: (2022-09-01)

XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique
द्वारा: Arul Elango, और अन्य
प्रकाशित: (2024-12-01)

Specific-Input LIME Explanations for Tabular Data Based on Deep Learning Models
द्वारा: Junkang An, और अन्य
प्रकाशित: (2023-07-01)

Interpretable molecular encodings and representations for machine learning tasks
द्वारा: Moritz Weckbecker, और अन्य
प्रकाशित: (2024-12-01)

Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications
द्वारा: Sayda Umma Hamida, और अन्य
प्रकाशित: (2024-10-01)

Explainable AI: A Review of Machine Learning Interpretability Methods
द्वारा: Pantelis Linardatos, और अन्य
प्रकाशित: (2020-12-01)

Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method
द्वारा: Fa Li, और अन्य
प्रकाशित: (2024-10-01)

Interpretable machine learning model to predict survival days of malignant brain tumor patients
द्वारा: Snehal Rajput, और अन्य
प्रकाशित: (2023-01-01)

Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
द्वारा: Amirata Ghorbani, और अन्य
प्रकाशित: (2021-12-01)

A detailed study of interpretability of deep neural network based top taggers
द्वारा: Ayush Khot, और अन्य
प्रकाशित: (2023-01-01)

Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders
द्वारा: Ho Heon Kim, और अन्य
प्रकाशित: (2024-03-01)

Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data
द्वारा: Sugandha Doda, और अन्य
प्रकाशित: (2024-04-01)

New unified insights on deep learning in radiological and pathological images: Beyond quantitative performances to qualitative interpretation
द्वारा: Yoichi Hayashi
प्रकाशित: (2020-01-01)

The Role of Human Knowledge in Explainable AI
द्वारा: Andrea Tocchetti, और अन्य
प्रकाशित: (2022-07-01)

Understanding the Behavior of Gas Sensors Using Explainable AI
द्वारा: Sanghamitra Chakraborty, और अन्य
प्रकाशित: (2022-11-01)

Explaining the solutions of the unit commitment with interpretable machine learning
द्वारा: Sara Lumbreras, और अन्य
प्रकाशित: (2024-09-01)

Interpreting the decisions of CNNs via influence functions
द्वारा: Aisha Aamir, और अन्य
प्रकाशित: (2023-07-01)

Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
द्वारा: Lukas Baur, और अन्य
प्रकाशित: (2024-05-01)

Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features
द्वारा: Kyle A. Hasenstab, और अन्य
प्रकाशित: (2023-01-01)

Analyzing and Explaining Black-Box Models for Online Malware Detection
द्वारा: Harikha Manthena, और अन्य
प्रकाशित: (2023-01-01)

AudioProtoPNet: An interpretable deep learning model for bird sound classification
द्वारा: René Heinrich, और अन्य
प्रकाशित: (2025-07-01)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
द्वारा: Angela Lombardi, और अन्य
प्रकाशित: (2021-10-01)

Correcting gradient-based interpretations of deep neural networks for genomics
द्वारा: Antonio Majdandzic, और अन्य
प्रकाशित: (2023-05-01)

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
द्वारा: Mi-Young Kim, और अन्य
प्रकाशित: (2021-11-01)

ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations
द्वारा: Christina Humer, और अन्य
प्रकाशित: (2022-04-01)

Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction
द्वारा: Fabian Obster, और अन्य
प्रकाशित: (2024-01-01)

Towards interpreting machine learning models for predicting soil moisture droughts
द्वारा: Feini Huang, और अन्य
प्रकाशित: (2023-01-01)

A Systematic Literature Review on AI Safety: Identifying Trends, Challenges, and Future Directions
द्वारा: Wissam Salhab, और अन्य
प्रकाशित: (2024-01-01)