Alejandro Martín

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 48

Top Topics

Image Classification

Malware Detection

Top Venues

CLEF (Working Notes)

Expert Syst. Appl.

Publications

Javier Huertas-Tato, Alejandro Martín, David Camacho
Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowl. Based Syst. 296 (2024)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks. CoRR (2024)
Moutaz Alazab, Ruba Abu Khurma, David Camacho, Alejandro Martín
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization. Cogn. Comput. 16 (5) (2024)
Pablo Miralles, Alejandro Martín, David Camacho
Team aida at PAN: Ensembling Normalized Log Probabilities. CLEF (Working Notes) (2024)
Moutaz Alazab, Ruba Abu Khurma, Pedro A. Castillo, Bilal Abu-Salih, Alejandro Martín, David Camacho
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron. CoRR (2024)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Using Authorship Embeddings to Understand Writing Style in Social Media. CLEF (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
BERTuit: Understanding Spanish language in Twitter with transformers. Expert Syst. J. Knowl. Eng. 40 (9) (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cogn. Comput. 15 (2) (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS. NLP-MisInfo@SEPLN (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. Appl. Soft Comput. 145 (2023)
Alejandro Martín, Alfonso Hernández, Moutaz Alazab, Jason J. Jung, David Camacho
Evolving Generative Adversarial Networks to improve image steganography. Expert Syst. Appl. 222 (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Understanding writing style in social media with a supervised contrastively pre-trained transformer. CoRR (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
SILT: Efficient transformer training for inter-lingual inference. Expert Syst. Appl. 200 (2022)
Alejandro Martín, David Camacho
Recent advances on effective and efficient deep learning-based solutions. Neural Comput. Appl. 34 (13) (2022)
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference. Knowl. Based Syst. 251 (2022)
Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho
PART: Pre-trained Authorship Representation Transformer. CoRR (2022)
Arsenii Tretiakov, Alejandro Martín, David Camacho
Detection of False Information in Spanish Using Machine Learning Techniques. IDEAL (2022)
Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho
Generating Authorship Embeddings with Transformers. IJCNN (2022)
Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez, Alejandro Martín, Javier Huertas-Tato, David Camacho
AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification. SemEval@NAACL (2022)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage. CoRR (2022)
Eva García-Soto, Alejandro Martín, Javier Huertas-Tato, David Camacho
Android Malware Detection Through a Pre-trained Model for Code Understanding. UCAmI (2022)
Javier Huertas-Tato, Alejandro Martín, David Camacho
BERTuit: Understanding Spanish language in Twitter through a native transformer. CoRR (2022)
Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
Fusing CNNs and statistical indicators to improve image classification. Inf. Fusion 79 (2022)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. CoRR (2022)
Javier Huertas-Tato, Alejandro Martín, David Camacho
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. CoRR (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
Countering Misinformation Through Semantic-Aware Multilingual Models. IDEAL (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification. CLEF (Working Notes) (2021)
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference. CoRR (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. CLEF (Working Notes) (2021)
Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC (2020)
Alejandro Martín, José Carlos Pulido, José Carlos González, Angel García Olaya, Cristina Suarez-Mejias
A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation. Sensors 20 (17) (2020)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Cloud Type Identification Using Data Fusion and Ensemble Learning. IDEAL (2) (2020)
Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
Fusion of CNNs and statistical indicators to improve image classification. CoRR (2020)
Alejandro Martín, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. Appl. Soft Comput. 90 (2020)
Gonzalo Méndez, Raquel Hervás, Pablo Gervás, Alejandro Martín, Frank Julca
Dynamic emphatical narration for reduced authorial burden and increased user freedom in interactive storytelling. Connect. Sci. 31 (1) (2019)
Alejandro Martín, Raúl Lara-Cabrera, David Camacho
Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset. Inf. Fusion 52 (2019)
Amalia Luque, Alejandro Carrasco, Alejandro Martín, Ana de las Heras
The impact of class imbalance in classification performance metrics based on the binary confusion matrix. Pattern Recognit. 91 (2019)
Amalia Luque, Alejandro Carrasco, Alejandro Martín, Juan Ramón Lama
Exploring Symmetry of Binary Classification Performance Metrics. Symmetry 11 (1) (2019)
Alejandro Martín, Julio César Hernández Castro, David Camacho
An in-Depth Study of the Jisut Family of Android Ransomware. IEEE Access 6 (2018)
Alejandro Martín, Raúl Lara-Cabrera, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. J. Parallel Distributed Comput. 117 (2018)
Alejandro Martín, Víctor Rodríguez-Fernández, David Camacho
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains. Eng. Appl. Artif. Intell. 74 (2018)
Alejandro Calleja, Alejandro Martín, Héctor D. Menéndez, Juan E. Tapiador, David Clark
Picking on the family: Disrupting android malware triage by forcing misclassification. Expert Syst. Appl. 95 (2018)
Alejandro Martín, Héctor D. Menéndez, David Camacho
MOCDroid: multi-objective evolutionary classifier for Android malware detection. Soft Comput. 21 (24) (2017)
Alejandro Martín, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
Evolving Deep Neural Networks architectures for Android malware classification. CEC (2017)
Alejandro Martín, Héctor D. Menéndez, David Camacho
Genetic boosting classification for malware detection. CEC (2016)
Alejandro Martín, Héctor D. Menéndez, David Camacho
Studying the Influence of Static API Calls for Hiding Malware. CAEPIA (2016)
Alejandro Martín, Héctor D. Menéndez, David Camacho
String-based Malware Detection for Android Environments. IDC (2016)
Alejandro Martín, Alejandro Calleja, Héctor D. Menéndez, Juan E. Tapiador, David Camacho
ADROIT: Android malware detection using meta-information. SSCI (2016)
Alejandro Martín, José Carlos González, José Carlos Pulido, Angel García Olaya, Fernando Fernández, Cristina Suarez
Therapy Monitoring and Patient Evaluation with Social Robots. REHAB (2015)
Javier Esclapés, Daniel Tejerina, Alejandro Martín, Laia Fabregat
Development of a low-cost application of virtual reality for the promotion of cultural heritage. DigitalHERITAGE (1) (2015)
Jorge Gasós, Alejandro Martín
Mobile Robot Localization Using Fuzzy Maps. Fuzzy Logic in Artificial Intelligence (1995)