AIMC Topic: Algorithms

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Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundamental limitations remain, however, that impede the pace of understanding ...

From promise to practice: towards the realisation of AI-informed mental health care.

The Lancet. Digital health
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-based precision medicine tools in mental health care from clinical, ethical, and regulatory perspectives. The real-world implementation of these tools is inc...

Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor.

Sensors (Basel, Switzerland)
Designing and developing artificial intelligence (AI)-based systems that can be trusted justifiably is one of the main issues aviation must face in the coming years. European Union Aviation Safety Agency (EASA) has developed a user guide that could b...

Using Artificial Intelligence for Predicting the Duration of Emergency Evacuation During Hospital Fire.

Disaster medicine and public health preparedness
OBJECTIVE: A danger threatening hospitals is fire. The most important action following a fire is to urgently evacuate the hospital during the shortest time possible. The aim of this study was to predict the duration of emergency evacuation following ...

Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis.

Computational intelligence and neuroscience
In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making polici...

Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators.

Computational intelligence and neuroscience
In the aggregation of uncertain information, it is very important to consider the interrelationship of the input information. Hamy mean (HM) is one of the fine tools to deal with such scenarios. This paper aims to extend the idea of the HM operator a...

A Dynamic Prediction Neural Network Model of Cross-Border e-Commerce Sales for Virtual Community Knowledge Sharing.

Computational intelligence and neuroscience
In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the sales dynamics prediction of virtual community knowledge sharing in cross-border e-commerce. Both the expected returns and the social network structure...

A Deep Ranking Weighted Multihashing Recommender System for Item Recommendation.

Computational intelligence and neuroscience
Collaborative filtering (CF) techniques are used in recommender systems to provide users with specialised recommendations on social websites and in e-commerce. But they suffer from sparsity and cold start problems (CSP) and fail to interpret why they...

Emergency Information Communication Structure by Using Multimodel Fusion and Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
With the development of The Times, social events are increasing, and emergency management has gradually become the main helper to solve the crisis in the public domain. By observing the current situation of many countries and regions, we can find tha...

The Generation of Piano Music Using Deep Learning Aided by Robotic Technology.

Computational intelligence and neuroscience
In order to improve the accuracy and precision of music generation assisted by robotics, this study analyzes the application of deep learning in piano music generation. Firstly, based on the basic concepts of robotics and deep learning, the advantage...