Convolutional Neural Networks and Explainable AI

Convolutional Neural Networks

Explainable AI

xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

Marktechpost

JUNE 9, 2024

Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features. xECGArch uniquely separates short-term (morphological) and long-term (rhythmic) ECG features using two independent Convolutional Neural Networks CNNs.

Convolutional Neural Networks

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Explainable AI: Shedding Light on AI Decision-Making

TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

Explainable AI

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IBM Journey to AI blog

SEPTEMBER 24, 2024

” When Guerena’s team first started working with smartphone images, they used convolutional neural networks (CNNs). Well-trained computer vision models produce consistent quantitative data instantly.”

Explainability

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Artificial Neural Network: A Comprehensive Guide

Pickl AI

SEPTEMBER 3, 2024

For example, convolutional neural networks (CNNs), a specific type of ANN, are widely used for image classification tasks, enabling applications such as facial recognition and object detection. Frequently Asked Questions What are the main types of Artificial Neural Network? How do Artificial Neural Network learn?

Neural Network

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Neural Network in Machine Learning

Pickl AI

AUGUST 14, 2024

Neural networks come in various forms, each designed for specific tasks: Feedforward Neural Networks (FNNs) : The simplest type, where connections between nodes do not form cycles. Explainable AI (XAI): Efforts to make neural networks more interpretable, allowing users to understand how models make decisions.

Neural Network

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Deep Learning for Medical Image Analysis: Current Trends and Future Directions

Heartbeat

NOVEMBER 27, 2023

Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs. Deep learning automates and improves medical picture analysis.

Deep Learning

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Classification Algorithm in Machine Learning: A Comprehensive Guide

Pickl AI

AUGUST 28, 2024

Deep Learning Deep Learning models, particularly Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), are becoming increasingly popular for complex classification tasks like image and text classification.

Machine Learning

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

DECEMBER 6, 2023

State of Computer Vision Tasks in 2024 The field of computer vision today involves advanced AI algorithms and architectures, such as convolutional neural networks (CNNs) and vision transformers ( ViTs ), to process, analyze, and extract relevant patterns from visual data. Get a demo here.

Computer Vision

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Where AI is headed in the next 5 years?

Pickl AI

JULY 14, 2023

Deep Learning, a subfield of ML, gained attention with the development of deep neural networks. Moreover, Deep Learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), achieved remarkable breakthroughs in image classification, natural language processing, and other domains.

Neural Network

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A Comprehensive Guide on Deep Learning Engineers

Pickl AI

AUGUST 1, 2024

Here are some of the key applications of Deep Learning in healthcare: Medical Imaging Deep Learning algorithms, particularly convolutional neural networks (CNNs), excel at analysing medical images like X-rays, CT scans, and MRIs.

Deep Learning

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AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 1: Fraud Detection and Prevention No.2:

Computer Vision

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Typical Workflow for Building a Machine Learning Model

Viso.ai

MAY 10, 2024

Basic types of machine learning models Some common types of machine learning algorithms include: Regression models (e.g. text vs images) and (2) the desired output (e.g. a binary classification or a bounding box for an image). Future Advancements Machine learning is a rapidly changing field, and advancements are made daily and weekly, not yearly.

Machine Learning

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Generative AI: A Guide To Generative Models

Viso.ai

JULY 9, 2024

On the other hand, the generative AI task is to create new data points that look like the existing ones. Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests.

Generative AI

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What's your cardiovascular age?

Mlearning.ai

FEBRUARY 2, 2023

In this article, I show how a Convolutional Neural Network can be used to predict a person's age based on the person's ECG Attia et al 2019 [1], showed that a person's age could be predicted from an ECG using convolutional neural networks (CNN). Ismail Fawaz et al., Singstad, B.-J.

Convolutional Neural Networks

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Artificial Intelligence Zone

xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

Explainable AI: Shedding Light on AI Decision-Making

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Trending Sources

AI and the future agriculture

Webinars

Artificial Neural Network: A Comprehensive Guide

Neural Network in Machine Learning

Deep Learning for Medical Image Analysis: Current Trends and Future Directions

Classification Algorithm in Machine Learning: A Comprehensive Guide

Computer Vision Tasks (Comprehensive 2024 Guide)

Where AI is headed in the next 5 years?

A Comprehensive Guide on Deep Learning Engineers

AI in Finance – Top Computer Vision Tools and Use Cases

Typical Workflow for Building a Machine Learning Model

Generative AI: A Guide To Generative Models

What's your cardiovascular age?

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