Gabriel Funes Gabaldón. (2022). Development of an agent-based model for simulating the influence of jihadist terrorist attacks on the 2004 Spanish general election. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Álvaro Díaz Del Mazo. (2022). Development of a Technological Surveillance Tool agains the Spread of Terrorist ideologies, based on Natural Language Processing and Machine Learning. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Ramón Hernández García. (2022). Development of an on-device deep learning textual analytics application using the Android Platform. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Oscar Araque & Carlos A. Iglesias. (2022). An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing. Cognitive Computation, 14, 48-61.
Sergio Muñoz López & Carlos A. Iglesias. (2022). A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations. Information Processing & Management, 59 (5), 103011.
Dhiraj Tejwani Jethani. (2022). Development of a System for Analysis of the Effect of Vocabularies on the Effectiveness of Radical Text Detection. Final Career Project. Grupo de Sistemas Inteligentes, Universidad Politécnica de Madrid.
Pablo Real Baeza. (2022). Design and Development of a Machine Learning System for the Detection of Propaganda in Radical Texts using Transformers. Final Career Project.
Inés El Khloufi Larrán. (2022). Design and Development of a Conversational-driven System for Unmasking health Fake News using Data Mining Techniques. Final Career Project.
Sergio Muñoz López, Carlos A. Iglesias, Oscar Mayora & Venet Osmani. (2022). Prediction of stress levels in the workplace using surrounding stress. Information Processing & Management, 59 (6), 103064.
Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile et al (2022). O-Dang! The Ontology of Dangerous Speech Messages. In Proceedings of the SALLD-2 Workshop @LREC2020.
Sergio Muñoz López, Carlos A. Iglesias, Andrei Scheianu & George Suciu. (2022). Semantic Modeling of a VLC-Enabled Task Automation Platform for Smart Offices. Electronics, 11 (3), 326.
de Pablo Marsal, Á., Oscar Araque & Carlos A. Iglesias. (2022). Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture. Electronics, 11 (2), 23.
Javier Antón Yuste. (2022). Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media ( Copy). Final Career Project. Universidad Politécnica de Madrid.
Pablo Sainz San Juan. (2022). Development of a Machine Learning System for Predicting Stress at the Workplace. Final Career Project. Universidad Politécnica de Madrid.
Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri (2022). LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty. In GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good, pages 154-160. ACM.
Roberto Martín Luengo. (2022). Design and implementation of an agent-based social simulation system for analyzing the influence of personality on stress management. Final Career Project. Universidad Politécnica de Madrid.
Alejandro Moreno García & Carlos A. Iglesias. (2021). Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis. Applied Sciences, 11 (10169), 1-18.
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Proceedings of the 1st Workshop on Sentiment Analysis & Linguistic Linked Data. Zaragoza, Spain : OASics (OpenAccess Series in Informatics).
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Sara Carvalho & Renato Rocha Souza (editors), Proceedings of the Workshops and Tutorials - Language Data and Knowledge 2021 co-located with the Language, Data and Knowledge Conference (LDK 2021), pages 1-14. CEUR.
Alejandro Moreno García. (2021). Analysis and Design of a Topic clustering system based on Genetic Algorithms for analyzing Customer Voice in Transport Services. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Daniel Vera Nieto. (2021). Design and Development of a Causal Inference Machine Learning System based on Textual Data. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Alberto López Santiago. (2021). Design and Implementation of a Gamified Virtual Reality Environment for Drivers of Ride-Hailing Services. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Sergio López López. (2021). Design of Alternative Routing Methods Focused on Pollution Exposure and Their Evaluation Through Agent-Based Simulation. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
David Algarra Medina. (2021). Generation and Evaluation of Lexicons Focused on HateSpeech using Deep Neural Networks. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
