Fernando De la Prieta

Associate Professor

Universidad de Salamanca

Spain

Research Interests

Explore related searches

Professors in Spain Professors in Artificial Intelligence Artificial Intelligence professors in Spain

Contact this professor

ORCID

Google Scholar

About

Fernando De la Prieta is an Associate Professor at the Universidad de Salamanca, Spain. His research areas encompass artificial intelligence, user experience design, multi-agent systems, and machine learning techniques, with recent publications focusing on AI facial emotion recognition, generative AI solutions, and wind power prediction. He actively explores the development of intelligent systems to address real-world challenges, including healthcare and transportation optimization.

Fernando De la Prieta

Research Interests

Explore related searches

Contact this professor

About

Articles (25)

EmotiCloud: Cloud System to Monitor Patients Using AI Facial Emotion Recognition

Integration of UX Design Guidelines in the Requirements Engineering Lifecycle for Generative AI Solutions

Leveraging transformers for semi-supervised pathogenicity prediction with soft labels

The Role of Multi-Agent Systems in Realizing Asset Administration Shell Type 3

Toolkit for Inclusion of User Experience Design Guidelines in the Development of Assistants Based on Generative Artificial Intelligence

Hybrid Physics-LSTM Framework for Wind Power Prediction and Control in Virtual Microgrid Simulations

Ten Years of Asset Administration Shell: Developments, Research Opportunities, and Adoption Challenges

An overview of machine learning and deep learning techniques for predicting epileptic seizures

Artificial Intelligence Solutions and Applications for Distributed Systems in Smart Spaces

Optimization of Rural Demand-Responsive Transportation through Transfer Point Allocation

Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems

Gas sensing in industry. A case study: Train hangar

Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach

Advances in Explainable Artificial Intelligence and Edge Computing Applications

Job offers recommender system based on virtual organizations

A device and an app for the diagnosis and self-management of tinnitus

Trustworthiness neural networks in distributed computing and artificial intelligence

Demand-Responsive Shared Transportation: A Self-Interested Proposal

Advances in Public Transport Platform for the Development of Sustainability Cities

Using Hybrid Deep Learning Models of Sentiment Analysis and Item Genres in Recommender Systems for Streaming Services

An Approach to Integrating Sentiment Analysis into Recommender Systems

Technological Developments of Mobility in Smart Cities. An Economic Approach

Deepint.net: A Rapid Deployment Platform for Smart Territories

An Intelligent Approach to Allocating Resources within an Agent-Based Cloud Computing Platform

Sentiment Analysis Based on Deep Learning: A Comparative Study

Collaborators (15)

Sara Rodríguez González

Yves Demazeau

Mohd Saberi Mohamad

Alfonso González Briones

Roberto Casado Vara

Jaume Jordán

Philippe MATHIEU

Vicente Julian

Pablo Chamoso

Holger Billhardt

Paweł Sitek

Juan Manuel Corchado

María N. Moreno García

Rashid Mehmood

Sergio Manzano

How do I reach out?

Meet Kite AI