Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; | Understanding writing style in social media with a supervised contrastively pre-trained transformer | Knowledge-Based Systems | 2024 |
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 perceptron | Egyptian Informatics Journal | 2024 |
Alazab, Moutaz; Khurma, Ruba Abu; Camacho, David; Martín, Alejandro; | Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization | Cognitive Computation | 2024 |
Huertas-Tato, Javier; Huertas-García, Álvaro; Martin, Alejandro; Camacho, David; | PART: Pre-trained Authorship Representation Transformer | Human-centric Computing and Information Sciences | 2024 |
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 Networks | arXiv preprint arXiv:2408.00633 | 2024 |
Miralles, Pablo; Martín, Alejandro; Camacho, David; | Team aida at PAN: Ensembling Normalized Log Probabilities | | 2024 |
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; | Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks | IEEE Transactions on Emerging Topics in Computational Intelligence | 2024 |
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 challenges | Information Fusion | 2024 |
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 information | Knowledge-Based Systems | 2024 |
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 mayores | Revista Española de Investigaciones Sociológicas | 2024 |
Huertas-Tato, Javier; Koutlis, Christos; Papadopoulos, Symeon; Camacho, David; Kompatsiaris, Ioannis; | A CLIP-based Siamese Approach for Meme Classification | 2024 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 Patients | 2024 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 transformers | Cognitive Computation | 2023 |
Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; | Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage | Applied Soft Computing | 2023 |
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 Twitter | Revista Latina de Comunicacion Social | 2023 |
Martín, Alejandro; Hernández, Alfonso; Alazab, Moutaz; Jung, Jason; Camacho, David; | Evolving Generative Adversarial Networks to improve image steganography | Expert Systems with Applications | 2023 |
Huertas‐Tato, Javier; Martín, Alejandro; Camacho, David; | BERTuit: Understanding Spanish language in Twitter with transformers | Expert Systems | 2023 |
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; | Using Authorship Embeddings to Understand Writing Style in Social Media | Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings | 2023 |
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 teaching | Juan C. Figuereo BeNúñez | 2023 |
Martín, Alejandro; Mateu Gordon, José Luis; Guede Cid, Rocío; | Construyendo la Educación del futuro en áreas de ingeniería, economía y STEM | | 2023 |
Liz-López, Helena; Huertas-Tato, Javier ; Camacho, David; | Transparency in medicine: How eXplainable AI is revolutionizing patient care | 2023 International Conference on Network, Multimedia and Information Technology (NMITCON). IEEE | 2023 |
Liz-López, Helena; Huertas-Tato, Javier; SáNúñez-Montanes; Manuel, Del Ser, Javier; Camacho, David; | Deep learning for understanding multilabel imbalanced Chest X-ray datasets | Future Generation Computer Systems | 2023 |
Valenzuela, Maria Inmaculada Santamaria; Liz-López, Helena; Panizo, Ángel; Huertas-Tato, Javier; | El proceso de verificación y validación como forma de comprensión de programas | Construyendo la Educación del futuro en áreas de ingeniería, economía y STEM | 2023 |
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 crítico | Construyendo la Educación del futuro en áreas de ingeniería, economía y STEM | 2023 |
Liz-López, Helena; Valenzuela, Valenzuela, Maria Inmaculada Santamaria; Anguera de Sojo Hernández, Áurea; Panizo, Ángel; | Gamificación, nuevas vías para mejorar la motivación | Construyendo la Educación del futuro en áreas de ingeniería, economía y STEM | 2023 |
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 sociología | Teknokultura | 2023 |
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 community | Intelligent Data Engineering and Automated Learning – IDEAL 2023 | 2023 |
Huertas-Tato, Javier; Martín, Alejandro; Fierrez, Julian; Camacho, David; | Fusing CNNs and statistical indicators to improve image classification | Information Fusion | 2022 |
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 inference | Knowledge-based systems | 2022 |
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; | SILT: Efficient transformer training for inter-lingual inference | Expert Systems with Applications | 2022 |
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 Twitter | Communication & Society | 2022 |
Huertas-Tato, Javier; Martin, Alejandro; Camacho, David; | BERTuit: Understanding Spanish language in Twitter through a native transformer | arXiv preprint arXiv:2204.03465 | 2022 |
Martín, Alejandro; Camacho, David; | Recent advances on effective and efficient deep learning-based solutions | Neural Computing and Applications | 2022 |
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 identification | Proceedings 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 transformers | 2022 International Joint Conference on Neural Networks (IJCNN) | 2022 |
Tretiakov, Arsenii; Martín, Alejandro; Camacho, David; | Detection of false information in spanish using machine learning techniques | International Conference on Intelligent Data Engineering and Automated Learning | 2022 |
García-Soto, Eva; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David; | Android malware detection through a pre-trained model for code understanding | International Conference on Ubiquitous Computing and Ambient Intelligence | 2022 |
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 lenguaje | Nuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM | 2022 |
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 programación | Nuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM | 2022 |
Martín, Alejandro; Redondo, María Valero; | InVes: mejora en la calidad docente y contenidos docentes mediante investigación continua aplicada | Nuevos enfoques en innovación educativa y transferencia de conocimiento: aplicación en ingenierías y enseñanza STEM | 2022 |
Martín, Alejandro; Souto Rico, Mónica; Guede Cid, Rocío; | Nuevos Enfoques en innovación Educativa y Transferencia de Conocimiento: Aplicación en ingenierías y enseñanza Stem | | 2022 |
Tretiakov, Arsenii; Martín, Alejandro; Camacho, David; | Check for updates Detection of False Information in Spanish Using Machine Learning Techniques | Intelligent Data Engineering and Automated Learning–IDEAL 2022: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings | 2022 |
Anguera de Sojo Hernández, Áurea;Liz-López, Helena; Villar, Guillermo; Torregrosa, Francisco Javier; | El aprendizaje en las enseñanzas técnicas: Experiencias de éxito | Educación y transferencia del conocimiento: propuestas de innovación para la mejora docente. Libro de resúmenes del I Congreso Internacional Docente, Educación y Transferencia del Conocimiento | 2022 |
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 diagnosis | Computer Methods and Programs in Biomedicine | 2022 |
Torregrosa,Javier; D’Antonio Maceiras,Sergio; Villar Rodríguez,Guillermo; Hussain,Amir; Cambria,Erik; Camacho,David; | A Mixed Approach for Aggressive Political Discourse Analysis on Twitter | Cognitive computation | 2022 |
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 synchronisation | Neural Computing and Applications | 2021 |
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 models | International conference on intelligent data engineering and automated learning | 2021 |
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 embeddings | XIX 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 desinformación | XIX 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 Camouflage | | 2021 |
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 Twitter | Socialni Studia | 2021 |
Fernández Romero,Diana; D’Antonio Maceiras,Sergio; Núñez Puente,Sonia; | Twitter Activism and Ethical Witnessing: Possibilities and Challenges of Feminist Politics Against Gender-Based Violence | Social Science Computer Review | 2021 |
Alonso González,David; D’Antonio Maceiras,Sergio; Díaz Catalán,Celia; Sádaba Rodríguez,Igor; | Types of older adults ICT users and the grey divide: attitudes matter | Revista De Cercetare Si Interventie Sociala | 2021 |
Liz-López, Helena; SáNúñez-Montanes, Manuel; Tagarro, Alfredo; DomíNúñez-Rodríguez, Sara; Dagan, Ron; Camacho, David; | Ensembles of convolutional neural network models for pediatric pneumonia diagnosis | Future Generation Computer Systems | 2021 |
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 algorithm | Applied Soft Computing | 2020 |
Martín, Alejandro; Camacho, David; | Evolving the architecture and hyperparameters of dnns for malware detection | Deep Neural Evolution: Deep Learning with Evolutionary Computation | 2020 |
Martín, Alejandro; Pulido, José C.; González, José C.; García-Olaya, Ángel; Suárez, Cristina; | A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation | Sensors | 2020 |
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 networks | 2020 IEEE Congress on Evolutionary Computation (CEC) | 2020 |
Huertas-Tato, Javier; Martín, Alejandro; Camacho, David; | Cloud type identification using data fusion and ensemble learning | International conference on intelligent data engineering and automated learning | 2020 |
Martín, Alejandro; Lara-Cabrera, Raúl; Camacho, David; | Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset | Information Fusion | 2019 |
Martín García, Alejandro; | Machine learning techniques for android malware detection and classification | | 2019 |
D’Antonio Maceiras,Sergio; Alonso González,David; | Descriptive analysis of knowledge and use of ICT by albanian universities of social work: working paper | 3rd International Conference Achievements And Challenges Of Social Work Proffesion In Albania | 2019 |
Martín, Alejandro; Lara-Cabrera, Raúl; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David; | EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisation | Journal of Parallel and Distributed Computing | 2018 |
Calleja, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Clark, David; | Picking on the family: Disrupting android malware triage by forcing misclassification | Expert Systems with Applications | 2018 |
Martín, Alejandro; Rodríguez-Fernández, Víctor; Camacho, David; | CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains | Engineering Applications of Artificial Intelligence | 2018 |
Martín, Alejandro; Lara-Cabrera, Raúl; Camacho, David; | A new tool for static and dynamic Android malware analysis | Data 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 ransomware | IEEE Access | 2018 |
Calleja, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Clark, David; | IagoDroid: Atacando el triaje de aplicaciones Android maliciosas | Actas de las Cuartas Jornadas Nacionales de Investigación en Ciberseguridad | 2018 |
Mena, A; Martin, A García; | Impact of post-stroke check list in chronic stroke patients management | Annals of Physical and Rehabilitation Medicine | 2018 |
Calleja Cortiñas, Alejandro; Martín, Alejandro; Menéndez, Héctor D; Estévez Tapiador, Juan Manuel; Clark, David; | Picking on the family: Disrupting android malware triage by forcing misclassification | | 2018 |
Alonso González,David; D’Antonio Maceiras,Sergio; | La tecnología entre los estudiantes del trabajo social: implicaciones educativas y para la futura práctica profesional | Revista De Servicios Sociales Y Política | 2018 |
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; | String-based malware detection for android environments | Intelligent Distributed Computing X: Proceedings of the 10th International Symposium on Intelligent Distributed Computing–IDC 2016, Paris, France, October 10-12 2016 10 | 2017 |
Martín, Alejandro; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David; | Evolving deep neural networks architectures for android malware classification | 2017 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 actores | Teknokultura | 2017 |
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; | MOCDroid: multi-objective evolutionary classifier for Android malware detection | Soft Computing | 2016 |
Martín, Alejandro; Menéndez, Héctor D; Camacho, David; | Studying the influence of static api calls for hiding malware | Advances in Artificial Intelligence: 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings 17 | 2016 |
Martin, Alejandro; Menéndez, Héctor D; Camacho, David; | Genetic boosting classification for malware detection | 2016 IEEE Congress on Evolutionary Computation (CEC) | 2016 |
Martín, Alejandro; Calleja, Alejandro; Menéndez, Héctor D; Tapiador, Juan; Camacho, David; | ADROIT: Android malware detection using meta-information | 2016 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 robots | Proceedings of the 3rd 2015 Workshop on ICTs for Improving Patients Rehabilitation Research Techniques | 2015 |
Martín García, Alejandro; | Aplicación Android para interacción en Educación presencial | | 2014 |
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 Facebook | Revista Latina De Comunicacion Social | 2014 |