Publications

You can check here our last publications

AuthorsTitleJournal/ConferenceYear
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; Understanding writing style in social media with a supervised contrastively pre-trained transformerKnowledge-Based Systems2024
Alazab, Moutaz; Khurma, Ruba Abu; Castillo, Pedro A; Abu-Salih, Bilal; Martín, Alejandro; Camacho, David; An effective networks intrusion detection approach based on hybrid Harris Hawks and multi-layer perceptronEgyptian Informatics Journal2024
Alazab, Moutaz; Khurma, Ruba Abu; Camacho, David; Martín, Alejandro; Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based OptimizationCognitive Computation2024
Huertas-Tato, Javier; Huertas-García, Álvaro; Martin, Alejandro; Camacho, David; PART: Pre-trained Authorship Representation TransformerHuman-centric Computing and Information Sciences2024
Villar-Rodríguez, Guillermo; Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social NetworksarXiv preprint arXiv:2408.006332024
Miralles, Pablo; Martín, Alejandro; Camacho, David; Team aida at PAN: Ensembling Normalized Log Probabilities2024
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial AttacksIEEE Transactions on Emerging Topics in Computational Intelligence2024
Liz-López, Helena; Keita, Mamadou; Taleb-Ahmed, Abdelmalik; Hadid, Abdenour; Huertas-Tato, Javier; Camacho, David;Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challengesInformation Fusion2024
Liz-López, Helena; Huertas-Tato, Javier; Pérez-Aracil, Jorge; Casanova-Mateo, Carlos; Sanz-Justo, Julia; Camacho, David;Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric informationKnowledge-Based Systems2024
Díaz Catalán,Celia; Sádaba Rodríguez,Igor; Alonso González,David; D’Antonio Maceiras,Sergio;¿Con quién aprendo a usar el dispositivo? La adquisición de competencias digitales de los mayoresRevista Española de Investigaciones Sociológicas2024
Huertas-Tato, Javier; Koutlis, Christos; Papadopoulos, Symeon; Camacho, David; Kompatsiaris, Ioannis;A CLIP-based Siamese Approach for Meme Classification2024 International Joint Conference on Neural Networks (IJCNN)2024
García-Cuesta, Esteban; Huertas-Tato, Javier; Cardinal-Fernandez, Pablo; Barberán, José;Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)2024
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; Exploring dimensionality reduction techniques in multilingual transformersCognitive Computation2023
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflageApplied Soft Computing2023
Noguera-Vivo, José Manuel; del Mar Grandío-Pérez, María; Villar-Rodríguez, Guillermo; Martín, Alejandro; Camacho, David; Disinformation and vaccines on social networks: Behavior of hoaxes on TwitterRevista Latina de Comunicacion Social2023
Martín, Alejandro; Hernández, Alfonso; Alazab, Moutaz; Jung, Jason; Camacho, David; Evolving Generative Adversarial Networks to improve image steganographyExpert Systems with Applications2023
Huertas‐Tato, Javier; Martín, Alejandro; Camacho, David; BERTuit: Understanding Spanish language in Twitter with transformersExpert Systems2023
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; Using Authorship Embeddings to Understand Writing Style in Social MediaExperimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings2023
Montoro-Montarroso, Andrés; Camacho, David; Martin, Alejandro; Torregrosa, Javier; Rosso, Paolo; Chulvi, Berta; Rementería, María José; Calvo, Blanca; Philippe, Olivier; Molina-Solana, Miguel; IBERIFIER Reports: Is the ‘AI toolbox for disinformation’ready?2023
Redondo, María Valero; García, Alejandro Martín; AI in the classroom: exploring the untapped potential of language generative models in university teachingJuan C. Figuereo BeNúñez2023
Martín, Alejandro; Mateu Gordon, José Luis; Guede Cid, Rocío; Construyendo la Educación del futuro en áreas de ingeniería, economía y STEM2023
Liz-López, Helena; Huertas-Tato, Javier ; Camacho, David;Transparency in medicine: How eXplainable AI is revolutionizing patient care2023 International Conference on Network, Multimedia and Information Technology (NMITCON). IEEE2023
Liz-López, Helena; Huertas-Tato, Javier; SáNúñez-Montanes; Manuel, Del Ser, Javier; Camacho, David;Deep learning for understanding multilabel imbalanced Chest X-ray datasetsFuture Generation Computer Systems2023
Valenzuela, Maria Inmaculada Santamaria; Liz-López, Helena; Panizo, Ángel; Huertas-Tato, Javier;El proceso de verificación y validación como forma de comprensión de programasConstruyendo la Educación del futuro en áreas de ingeniería, economía y STEM2023
Anguera de Sojo Hernández, Áurea; Maceiras, Sergio Alejandro D Antonio;Liz- López, Helena; Panizo, Ángel;El uso de la herramienta de debate para el desarrollo de la competencia transversal de razonamiento críticoConstruyendo la Educación del futuro en áreas de ingeniería, economía y STEM2023
Liz-López, Helena; Valenzuela, Valenzuela, Maria Inmaculada Santamaria; Anguera de Sojo Hernández, Áurea; Panizo, Ángel;Gamificación, nuevas vías para mejorar la motivaciónConstruyendo la Educación del futuro en áreas de ingeniería, economía y STEM2023
Puente Bienvenido,Héctor; de Haro Gázquez,Diego; D’Antonio Maceiras,Sergio;El Big Data como metodología de investigación social: Propuestas, renuncias y dilemas desde la sociologíaTeknokultura2023
Torregrosa,Javier; Panizo Lledo,Ángelt; D’Antonio Maceiras,Sergio; Camacho,David;Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist communityIntelligent Data Engineering and Automated Learning – IDEAL 20232023
Huertas-Tato, Javier; Martín, Alejandro; Fierrez, Julian; Camacho, David; Fusing CNNs and statistical indicators to improve image classificationInformation Fusion2022
Martín, Alejandro; Huertas-Tato, Javier; Huertas-García, Álvaro; Villar-Rodríguez, Guillermo; Camacho, David; FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inferenceKnowledge-based systems2022
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; SILT: Efficient transformer training for inter-lingual inferenceExpert Systems with Applications2022
Villar-Rodríguez, Guillermo; Souto-Rico, Mónica; Martín, Alejandro; Virality, only the tip of the iceberg: ways of spread and interaction around COVID-19 misinformation in TwitterCommunication & Society2022
Huertas-Tato, Javier; Martin, Alejandro; Camacho, David; BERTuit: Understanding Spanish language in Twitter through a native transformerarXiv preprint arXiv:2204.034652022
Martín, Alejandro; Camacho, David; Recent advances on effective and efficient deep learning-based solutionsNeural Computing and Applications2022
Huertas-García, Álvaro; Liz, Helena; Villar-Rodríguez, Guillermo; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; AIDA-UPM at semeval-2022 task 5: Exploring multimodal late information fusion for multimedia automatic misogyny identificationProceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)2022
Huertas-Tato, Javier; Martin, Alejandro; Huertas-García, Álvaro; Camacho, David; Generating authorship embeddings with transformers2022 International Joint Conference on Neural Networks (IJCNN)2022
Tretiakov, Arsenii; Martín, Alejandro; Camacho, David; Detection of false information in spanish using machine learning techniquesInternational Conference on Intelligent Data Engineering and Automated Learning2022
García-Soto, Eva; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; Android malware detection through a pre-trained model for code understandingInternational Conference on Ubiquitous Computing and Ambient Intelligence2022
Redondo, María Valero; Martín, Alejandro; Tato, Javier Huertas; Fernández, David Camacho; Evaluación flexible de preguntas de respuesta corta en los SGA mediante modelos preentrenados de lenguajeNuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM2022
Martín, Alejandro; Tato, Javier Huertas; Torregrosa, Javier; Fernández, David Camacho; Modelos de generación automática de código en el aula: implicaciones en la evaluación de táreas de programaciónNuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM2022
Martín, Alejandro; Redondo, María Valero; InVes: mejora en la calidad docente y contenidos docentes mediante investigación continua aplicadaNuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM2022
Martín, Alejandro; Souto Rico, Mónica; Guede Cid, Rocío; Nuevos Enfoques en innovación Educativa y Transferencia de Conocimiento: Aplicación en ingenierías y enseñanza Stem2022
Tretiakov, Arsenii; Martín, Alejandro; Camacho, David; Check for updates Detection of False Information in Spanish Using Machine Learning TechniquesIntelligent Data Engineering and Automated Learning–IDEAL 2022: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings2022
Anguera de Sojo Hernández, Áurea;Liz-López, Helena; Villar, Guillermo; Torregrosa, Francisco Javier;El aprendizaje en las enseñanzas técnicas: Experiencias de éxitoEducación y transferencia del conocimiento: propuestas de innovación para la mejora docente. Libro de resúmenes del I Congreso Internacional Docente, Educación y Transferencia del Conocimiento2022
DomíNúñez-Rodríguez, Sara; Liz-López, Helena; Panizo-LLedot, Ángel; Ballesteros, Álvaro; Dagan, Ron; Greenberg, David; Gutiérrez, Lourdes; Rojo, Pablo; Otheo, Enrique; Galán, Juan Carlos; Villanueva, Sara; García, Sonsoles; Mosquera, Pablo; Tagarro, Alfredo; Moraleda, Cinta; Camacho, David;Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosisComputer Methods and Programs in Biomedicine2022
Torregrosa,Javier; D’Antonio Maceiras,Sergio; Villar Rodríguez,Guillermo; Hussain,Amir; Cambria,Erik; Camacho,David;A Mixed Approach for Aggressive Political Discourse Analysis on TwitterCognitive computation2022
Martín, Alejandro; González-Carrasco, Israel; Rodríguez-Fernandez, Victor; Souto-Rico, Mónica; Camacho, David; Ruiz-Mezcua, Belén; Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisationNeural Computing and Applications2021
Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification.CLEF (Working Notes)2021
Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling.CLEF (Working Notes)2021
Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; Countering misinformation through semantic-aware multilingual modelsInternational conference on intelligent data engineering and automated learning2021
Villar-Rodríguez, Guillermo; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; A la desinformación le gusta la compañía: Representación de bulos de Twitter sobre la COVID-19 mediante embeddingsXIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 20/21)2021
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; Evaluación de modelos multilingües pre-entrenados en similitud semántica para la lucha contra la desinformaciónXIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 20/21)2021
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; NLP-MisInfo-2023-Abstract-Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage2021
Fernández Romero,Diana; D’Antonio Maceiras,Sergio; Núñez Puente,Sonia;New Discourses of Masculinity in the Context of Online Misogyny in Spain: The Use of the «Feminazi» and «Gender Ideology» Concepts on TwitterSocialni Studia2021
Fernández Romero,Diana; D’Antonio Maceiras,Sergio; Núñez Puente,Sonia;Twitter Activism and Ethical Witnessing: Possibilities and Challenges of Feminist Politics Against Gender-Based ViolenceSocial Science Computer Review2021
Alonso González,David; D’Antonio Maceiras,Sergio; Díaz Catalán,Celia; Sádaba Rodríguez,Igor;Types of older adults ICT users and the grey divide: attitudes matterRevista De Cercetare Si Interventie Sociala2021
Liz-López, Helena; SáNúñez-Montanes, Manuel; Tagarro, Alfredo; DomíNúñez-Rodríguez, Sara; Dagan, Ron; Camacho, David;Ensembles of convolutional neural network models for pediatric pneumonia diagnosisFuture Generation Computer Systems2021
Martín, Alejandro; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Camacho, David; Hervás-Martínez, César; Optimising convolutional neural networks using a hybrid statistically-driven coral reef optimisation algorithmApplied Soft Computing2020
Martín, Alejandro; Camacho, David; Evolving the architecture and hyperparameters of dnns for malware detectionDeep Neural Evolution: Deep Learning with Evolutionary Computation2020
Martín, Alejandro; Pulido, José C.; González, José C.; García-Olaya, Ángel; Suárez, Cristina; A Framework for User Adaptation and Profiling for Social Robotics in RehabilitationSensors2020
Martin, Alejandro; Lara-Cabrera, Raúl; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Camacho, David; Statistically-driven coral reef metaheuristic for automatic hyperparameter setting and architecture design of convolutional neural networks2020 IEEE Congress on Evolutionary Computation (CEC)2020
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; Cloud type identification using data fusion and ensemble learningInternational conference on intelligent data engineering and automated learning2020
Martín, Alejandro; Lara-Cabrera, Raúl; Camacho, David; Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid datasetInformation Fusion2019
Martín García, Alejandro; Machine learning techniques for android malware detection and classification2019
D’Antonio Maceiras,Sergio; Alonso González,David;Descriptive analysis of knowledge and use of ICT by albanian universities of social work: working paper3rd International Conference Achievements And Challenges Of Social Work Proffesion In Albania2019
Martín, Alejandro; Lara-Cabrera, Raúl; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David; EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisationJournal of Parallel and Distributed Computing2018
Calleja, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Clark, David; Picking on the family: Disrupting android malware triage by forcing misclassificationExpert Systems with Applications2018
Martín, Alejandro; Rodríguez-Fernández, Víctor; Camacho, David; CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chainsEngineering Applications of Artificial Intelligence2018
Martín, Alejandro; Lara-Cabrera, Raúl; Camacho, David; A new tool for static and dynamic Android malware analysisData Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018)2018
Martín, Alejandro; Hernández-Castro, Julio; Camacho, David; An in-depth study of the jisut family of android ransomwareIEEE Access2018
Calleja, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Clark, David; IagoDroid: Atacando el triaje de aplicaciones Android maliciosasActas de las Cuartas Jornadas Nacionales de Investigación en Ciberseguridad2018
Mena, A; Martin, A García; Impact of post-stroke check list in chronic stroke patients managementAnnals of Physical and Rehabilitation Medicine2018
Calleja Cortiñas, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Estévez Tapiador, Juan Manuel; Clark, David; Picking on the family: Disrupting android malware triage by forcing misclassification2018
Alonso González,David; D’Antonio Maceiras,Sergio;La tecnología entre los estudiantes del trabajo social: implicaciones educativas y para la futura práctica profesionalRevista De Servicios Sociales Y Política2018
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; String-based malware detection for android environmentsIntelligent Distributed Computing X: Proceedings of the 10th International Symposium on Intelligent Distributed Computing–IDC 2016, Paris, France, October 10-12 2016 102017
Martín, Alejandro; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David; Evolving deep neural networks architectures for android malware classification2017 IEEE Congress on Evolutionary Computation (CEC)2017
D’Antonio Maceiras,Sergio; Díaz Catalán,Celia;Editorial: TIC y difusión de los CTS: regulación y estrategias de resistencia de los diferentes actoresTeknokultura2017
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; MOCDroid: multi-objective evolutionary classifier for Android malware detectionSoft Computing2016
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; Studying the influence of static api calls for hiding malwareAdvances in Artificial Intelligence: 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings 172016
Martin, Alejandro; Menéndez, Héctor D; Camacho, David; Genetic boosting classification for malware detection2016 IEEE Congress on Evolutionary Computation (CEC)2016
Martín, Alejandro; Calleja, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Camacho, David; ADROIT: Android malware detection using meta-information2016 IEEE Symposium Series on Computational Intelligence (SSCI)2016
Martín, Alejandro; González, José C; Pulido, José C; García-Olaya, Ángel; Fernández, Fernando; Suárez, Cristina; Therapy monitoring and patient evaluation with social robotsProceedings of the 3rd 2015 Workshop on ICTs for Improving Patients Rehabilitation Research Techniques2015
Martín García, Alejandro; Aplicación Android para interacción en Educación presencial2014
Parra Contreras,Pilar; Gordo López,Ángel; D’Antonio Maceiras,Sergio;La investigación social aplicada en redes sociales. Una innovación metodológica para el análisis de los Me gusta en FacebookRevista Latina De Comunicacion Social2014