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Going beyond xai: A systematic survey for explanation-guided learning
As the societal impact of Deep Neural Networks (DNNs) grows, the goals for advancing
DNNs become more complex and diverse, ranging from improving a conventional model …
DNNs become more complex and diverse, ranging from improving a conventional model …
[HTML][HTML] Explainable Artificial Intelligence (XAI) for Oncological Ultrasound Image Analysis: A Systematic Review
LS Wyatt, LM van Karnenbeek, M Wijkhuizen… - Applied Sciences, 2024 - mdpi.com
This review provides an overview of explainable AI (XAI) methods for oncological ultrasound
image analysis and compares their performance evaluations. A systematic search of …
image analysis and compares their performance evaluations. A systematic search of …
The FIX Benchmark: Extracting Features Interpretable to eXperts
Feature-based methods are commonly used to explain model predictions, but these
methods often implicitly assume that interpretable features are readily available. However …
methods often implicitly assume that interpretable features are readily available. However …
An Exploration on Explainable AI with Background and Motivation for XAI
BP Sheela, H Girisha - … Conference on Innovations in Cybersecurity and …, 2024 - Springer
This article deals with the exploration of XAI in the field of Image processing and Machine
Learning. Machine learning models are rapidly used to make important decisions in …
Learning. Machine learning models are rapidly used to make important decisions in …
Explainability and Understandability of Artificial Neural Networks
J Stodt - 2024 - pearl.plymouth.ac.uk
Abstract Artificial Neural Networks (ANNs) have achieved significant success in fields
likehealthcare, but their" black box" nature challenges transparency and user trust. Existing …
likehealthcare, but their" black box" nature challenges transparency and user trust. Existing …
An Exploration on Explainable AI with Background and Motivation for XAΙ
BP Sheela, H Girisha - … and Data Science: Proceedings of ICICDS …, 2024 - books.google.com
Explainable AI is an emerging field in artificial intelligence and machine learning that aims to
address how the decision-making process can be made transparent in ML model and quick …
address how the decision-making process can be made transparent in ML model and quick …