Launch week offerEnds in00h00m00s

annual Promonthly Pro

Mario Munoz-Organero

Catedrático de universidad

Universidad Carlos III de Madrid

Spain

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

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

Articles (14)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (11)

Aleix Beneyto Tantiña

Research Director

Universitat de Girona

SPAIN

View details

Carlos Alario-Hoyos

Profesor Titular

Universidad Carlos III de Madrid

SPAIN

View details

Ashar Ahmed

Associate Professor

NED University of Engineering and Technology

View details

Patricia Callejo

Profesora Visitante

Universidad Carlos III de Madrid - Campus de Leganés

SPAIN

View details

MARIA BLANCA IBAÑEZ

Universidad Carlos III de Madrid

SPAIN

View details

Carlos Delgado Kloos

Professor

Universidad Carlos III de Madrid

SPAIN

View details

Pedro Muñoz-Merino

Universidad Carlos III de Madrid

SPAIN

View details

Boni García

Associate Professor

Universidad Carlos III de Madrid

SPAIN

View details

Pedro Manuel Moreno-Marcos

Associate Professor

Universidad Carlos III de Madrid

SPAIN

View details

Josep Vehi

Professor

Universitat de Girona

SPAIN

View details

Miguel Angel Hombrados-Herrera

Visiting Professor

Universidad Carlos III de Madrid

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mario Munoz-Organero

Research Interests

Make your next move.

Explore related searches

Articles (14)

Collaborative multi-dataset learning through shared and private model components in healthcare environments

Test automation with selenium: A survey

Recurrent neural network with contextual attention for prognostics

How Challenges Become Opportunities: Micro-credentials and Artificial Intelligence

Exploring commuter stress dynamics through machine learning and double optimization

Content Modeling in Smart Learning Environments: A systematic literature review

Explicit Context Integrated Recurrent Neural Network for applications in smart environments

Smart Contracts as a Tool to Support the Challenges of Buying and Selling Coffee Futures Contracts in Colombia

How can Generative AI Support Education?

A Deep Graph Neural Network Approach for Assessing Origin Destination Traffic Flow Estimates Based on COVID-19 Data

A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid

Active Labeling Correction of Mealtimes and the Appearance of Types of Carbohydrates in Type 1 Diabetes Information Records

Using Traffic Sensors in Smart Cities to Enhance a Spatio-Temporal Deep Learning Model for COVID-19 Forecasting

Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction

Collaborators (11)

Aleix Beneyto Tantiña

Carlos Alario-Hoyos

Ashar Ahmed

Patricia Callejo

MARIA BLANCA IBAÑEZ

Carlos Delgado Kloos

Pedro Muñoz-Merino

Boni García

Pedro Manuel Moreno-Marcos

Josep Vehi

Miguel Angel Hombrados-Herrera

Make your next move.