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Ángel Panizo LLedot is a teaching assistant in the school of computer systems engineering of Universidad Politécnica de Madrid (UPM). Has a B.Sc. in Computer Science from Universidad Complutense de Madrid, a M.Sc. in Artificial Intelligence from Universidad Politécnica de Madrid, and a Phd in computer sciences from Universidad Autonoma de Madrid. Nowadays, he is involved with the AIDA research group at ETSISI-UPM, his main research interests are related to Clustering; Graph-based algorithms, especially focus on time-evolving graphs; Social Data Analysis; and Bio-inspired methods.
Testing the Performance, Adequacy, and Applicability of an Artificial Intelligent Model for Pediatric Pneumonia Diagnosis Journal Article
In: 2022.
YoungRes: A Serious Game-Based Intervention to Increase Youngsters Resilience Against Extremist Ideologies Journal Article
In: IEEE Access, vol. 10, pp. 28564–28578, 2022.
Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs Journal Article
In: IEEE Access, vol. 10, pp. 27611–27629, 2022.
The four dimensions of social network analysis: An overview of research methods, applications, and software tools Journal Article
In: Information Fusion, vol. 63, pp. 88–120, 2020.
Analyzing the relationship between relevance and extremist discourse in an alt-right network on Twitter Journal Article
In: Social Network Analysis and Mining, vol. 10, no. 1, pp. 1–17, 2020.
Improving Youngsters’ Resilience Through Video Game-Based Interventions Journal Article
In: Vietnam Journal of Computer Science, vol. 7, no. 03, pp. 263–279, 2020.
A multi-objective genetic algorithm for detecting dynamic communities using a local search driven immigrant’s scheme Journal Article
In: Future Generation Computer Systems, vol. 110, pp. 960–975, 2020.
Exploring multi-objective cellular genetic algorithms in community detection problems Proceedings Article
In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 223–235, Springer 2020.
An ensemble algorithm based on deep learning for tuberculosis classification Proceedings Article
In: International conference on intelligent data engineering and automated learning, pp. 145–154, Springer 2019.
Describing alt-right communities and their discourse on twitter during the 2018 us mid-term elections Proceedings Article
In: International conference on complex networks and their applications, pp. 427–439, Springer 2019.
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams Proceedings Article
In: Proceedings of the genetic and evolutionary computation conference companion, pp. 1329–1335, 2019.
A genetic algorithm with local search based on label propagation for detecting dynamic communities Proceedings Article
In: International symposium on intelligent and distributed computing, pp. 319–328, Springer 2018.
Community finding in dynamic networks using a genetic algorithm improved via a hybrid immigrants scheme Proceedings Article
In: Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018), pp. 591–598, World Scientific 2018.
Measuring extremism: Validating an alt-right twitter accounts dataset Proceedings Article
In: International conference on intelligent data engineering and automated learning, pp. 9–14, Springer 2018.
Risktrack: Assessing the risk of jihadi radicalization on twitter using linguistic factors Proceedings Article
In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 15–20, Springer 2018.
An Artificial Bee Colony algorithm for optimizing the design of sensor networks Proceedings Article
In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 316–324, Springer 2018.
Un Algoritmo Memético, con búsqueda local basada en Label Propagation, para detectar comunidades en redes dinámicas Proceedings Article
In: XVIII Conferencia de la Asociación Espa~nola para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, Espa~na, pp. 995–1000, Asociación Espa~nola para la Inteligencia Artificial (AEPIA) 2018.