José A. Troyano

José A. Troyano

Universidad de Sevilla

H-index: 18

Europe-Spain

About José A. Troyano

José A. Troyano, With an exceptional h-index of 18 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad de Sevilla, specializes in the field of Natural Language Processing, Opinion Mining, Machine Learning, Social Networks Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Discovery and characterisation of socially polarised communities on social media

Detección y clasificación de falacias prototípicas y espontáneas en español

A new competition format to avoid collusion in three-team sports tournaments

DEFALAC: Automatic Detection and Generation of Fallacies Using Large Language Models Based on Deep Learning

Explorando la generación de contenido online por el usuario y su influencia predictiva en la Calidad Relacional. Aplicación al sector hotelero de Andalucía

Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres

Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent

Fuzzy metatopics predicting prices of Airbnb accommodations

José A. Troyano Information

University

Position

Profesor Titular de Universidad ()

Citations(all)

1157

Citations(since 2020)

476

Cited By

879

hIndex(all)

18

hIndex(since 2020)

11

i10Index(all)

24

i10Index(since 2020)

12

Email

University Profile Page

Universidad de Sevilla

Google Scholar

View Google Scholar Profile

José A. Troyano Skills & Research Interests

Natural Language Processing

Opinion Mining

Machine Learning

Social Networks Analysis

Top articles of José A. Troyano

Title

Journal

Author(s)

Publication Date

Discovery and characterisation of socially polarised communities on social media

Scientific Reports

Javier Alvarez-Galvez

Fermin L Cruz

Jose A Troyano

2023/9/18

Detección y clasificación de falacias prototípicas y espontáneas en español

Procesamiento del Lenguaje Natural

Fermín L Cruz

José A Troyano

Fernando Enríquez

F Javier Ortega

2023/9/13

A new competition format to avoid collusion in three-team sports tournaments

arXiv preprint arXiv:2308.02507

Jose A Troyano

2023/7/25

DEFALAC: Automatic Detection and Generation of Fallacies Using Large Language Models Based on Deep Learning

Fermín Cruz

José A Troyano

Fernando Enríquez

F Javier Ortega

2023

Explorando la generación de contenido online por el usuario y su influencia predictiva en la Calidad Relacional. Aplicación al sector hotelero de Andalucía

SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing: Projects and Demonstrations (2022), pp. 1-4.

Manuel Jesús Sánchez Franco

José Antonio Troyano Jiménez

Fermín Cruz Mata

Manuel Alonso dos Santos

2022

Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres

Journal of King Saud University-Computer and Information Sciences

Damián Fernández-Cerero

José A Troyano

Agnieszka Jakóbik

Alejandro Fernández-Montes

2022/6/1

Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent

Soft Computing

Isidro Lloret

José A Troyano

Fernando Enríquez

Juan-José González-de-la-Rosa

2021/6

Fuzzy metatopics predicting prices of Airbnb accommodations

Journal of Intelligent & Fuzzy Systems

Manuel J Sanchez-Franco

Jose A Troyano

Manuel Alonso-Dos-Santos

2021/1/1

Known by who we follow: A biclustering application to community detection

IEEE Access

Juan M Cotelo

F Javier Ortega

Jose A Troyano

Fernando Enriquez

Fermin L Cruz

2020/10/19

MCFS: Min-cut-based feature-selection

Knowledge-Based Systems

Carlos G Vallejo

Jose A Troyano

Fernando Enriquez

F Javier Ortega

Fermin L Cruz

2020/5/11

See List of Professors in José A. Troyano University(Universidad de Sevilla)