Explainable Deep Learning Framework

Explainable Deep Learning Framework for Human Activity ... - arXiv

We proposes a novel, model-agnostic framework that enhances both the interpretability and efficacy of HAR models through the strategic use of competitive data ...

Xpdeep, the first self-explainable deep learning framework - Home

Xpdeep deep learning framework generates simultaneously the deep model and its complete, precise and intelligible explanations, with no compromise on ...

Explainable deep-learning framework: decoding brain states and ...

We proposed an explainable deep learning framework to decode brain states (Theory of Mind and Pain states) and predict individual performance on ToM-related ...

Explainable Deep Learning AI - ScienceDirect.com

Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, ...

Explainable Deep Neural Networks - Towards Data Science

For some years, black box machine learning has been criticised for its limits in extracting knowledge from data. Deep Neural Networks (DNNs) are one of the ...

Explainable Deep Learning: A Field Guide for the Uninitiated - arXiv

Abstract:Deep neural networks (DNNs) have become a proven and indispensable machine learning tool. As a black-box model, ...

Explainable deep learning for efficient and robust pattern recognition

These papers can be roughly divided into three major categories: (1) quantifying or visualizing the interpretability of deep neural networks for explainable ...

A novel explainable deep learning framework for reconstructing ...

We present novel explainable deep learning techniques for reconstructing South Asian palaeomonsoon rainfall over the last 500 years.

Explainable Deep Learning: : A Field Guide for the Uninitiated

Deep neural networks (DNNs) are an indispensable machine learning tool despite the difficulty of diagnosing what aspects of a model's input drive its ...

BubblEX: An Explainable Deep Learning Framework for Point-Cloud ...

BubblEX is proposed here, a novel multimodal fusion framework to learn the 3-D point features. BubblEX framework comprises two stages.

explainable deep learning framework for the prediction of plant ...

We propose ExamPle, a novel deep learning model using Siamese network and multi-view representation for the explainable prediction of the plant SSPs.

An explainable deep learning framework for characterizing and ...

Deep learning approaches have been widely adopted in the medical image analysis field. However, a most of existing deep learning approaches focus on ...

An Explainable Deep Learning Framework for Detecting and ... - MDPI

A visual cross-inspection of LIME and Grad-CAM++ revealed that both methods capture the same regions as the most significant ones. Hence, both ...

An Explainable Deep Neural Framework for Trustworthy Network ...

To address this issue, we propose an explainable intrusion detection framework that employs deep learning mechanisms to identify cyber-attacks and utilizes ...

The Transform-and-Perform Framework: Explainable Deep Learning ...

Graphic: An overview of the Transform-and-Perform (T&P) framework. Fig. 1. An overview of the Transform-and ...

An Explainable Deep Learning Framework for Brain Disease ...

This approach empowers clinicians to identify brain diseases more confidently and accurately, fostering greater trust in AI-driven diagnostic tools.

HEAP: a task adaptive-based explainable deep learning framework ...

HEAP can simultaneously achieve two applications: discriminating enhancer or non-enhancer sequences and predicting enhancer activities. It ...

Toward Explainable Deep Learning - Communications of the ACM

With the recent progression of legal and policy frameworks that mandate explaining decisions made by AI-driven systems (for example, the ...

Decoding Brain Task and Prediction of Individual Performance in ...

We proposed an explainable deep learning framework to decode brain states (Theory of Mind and Pain states) and predict individual performance on ToM-related ...

The Transform-and-Perform framework: Explainable deep learning ...

In recent years, visual analytics (VA) has shown promise in alleviating the challenges of interpreting black-box deep learning (DL) models.