Marina Cuesta

According to our database, Marina Cuesta authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

CSViz: Class Separability Visualization for high-dimensional datasets.

Marina Cuesta, Carmen Lancho, Alberto Fernández-Isabel, Emilio L. Cano, Isaac Martín de Diego

Appl. Intell., January, 2024

Counterfactual Explanations for Sustainable Tourism Indicators.

Javier Saugar, Carmen Lancho, Marina Cuesta, Emilio L. Cano, Isaac Martín de Diego, Antonio Amado

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Padel Two-Dimensional Tracking Extraction from Monocular Video Recordings.

Álvaro Novillo, Víctor Aceña, Carmen Lancho, Marina Cuesta, Isaac Martín de Diego

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2023

Hostility measure for multi-level study of data complexity.

Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza

Appl. Intell., April, 2023

2022

Automatic detection of potential customers by opinion mining and intelligent agents.

Raúl Moreno, Alberto Fernández-Isabel, Isaac Martín de Diego, Javier M. Moguerza, Carmen Lancho, Marina Cuesta

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Suspicious news detection through semantic and sentiment measures.

Alejandro G. Martín, Alberto Fernández-Isabel, César González-Fernández, Carmen Lancho, Marina Cuesta, Isaac Martín de Diego

Eng. Appl. Artif. Intell., 2021

A Complexity Measure for Binary Classification Problems Based on Lost Points.

Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

From Classification to Visualization: A Two Way Trip.

Marina Cuesta, Isaac Martín de Diego, Carmen Lancho, Víctor Aceña, Javier M. Moguerza

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021