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Alejandro Martín
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2020 – today
- 2024
- [j21]Moutaz Alazab
, Ruba Abu Khurma, David Camacho, Alejandro Martín:
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization. Cogn. Comput. 16(5): 2154-2168 (2024) - [j20]Javier Huertas-Tato
Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowl. Based Syst. 296: 111867 (2024) - [c20]Pablo Miralles, Alejandro Martín, David Camacho:
Team aida at PAN: Ensembling Normalized Log Probabilities. CLEF (Working Notes) 2024: 2807-2813 - [i11]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 abs/2402.09874 (2024) - [i10]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 abs/2402.14037 (2024) - [i9]Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks. CoRR abs/2408.00633 (2024) - 2023
- [j19]Álvaro Huertas-García
Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. Appl. Soft Comput. 145: 110552 (2023) - [j18]Álvaro Huertas-García
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cogn. Comput. 15(2): 590-612 (2023) - [j17]Javier Huertas-Tato
BERTuit: Understanding Spanish language in Twitter with transformers. Expert Syst. J. Knowl. Eng. 40(9) (2023) - [j16]Alejandro Martín
Evolving Generative Adversarial Networks to improve image steganography. Expert Syst. Appl. 222: 119841 (2023) - [c19]Javier Huertas-Tato
Using Authorship Embeddings to Understand Writing Style in Social Media. CLEF 2023: 60-71 - [c18]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: 10-14 - [i8]Javier Huertas-Tato, Alejandro Martín, David Camacho:
Understanding writing style in social media with a supervised contrastively pre-trained transformer. CoRR abs/2310.11081 (2023) - 2022
- [j15]Javier Huertas-Tato, Alejandro Martín
SILT: Efficient transformer training for inter-lingual inference. Expert Syst. Appl. 200: 116923 (2022) - [j14]Javier Huertas-Tato, Alejandro Martín
Fusing CNNs and statistical indicators to improve image classification. Inf. Fusion 79: 174-187 (2022) - [j13]Alejandro Martín
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference. Knowl. Based Syst. 251: 109265 (2022) - [j12]Alejandro Martín, David Camacho:
Recent advances on effective and efficient deep learning-based solutions. Neural Comput. Appl. 34(13): 10205-10210 (2022) - [c17]Arsenii Tretiakov, Alejandro Martín, David Camacho:
Detection of False Information in Spanish Using Machine Learning Techniques. IDEAL 2022: 42-53 - [c16]Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho:
Generating Authorship Embeddings with Transformers. IJCNN 2022: 1-8 - [c15]Álvaro Huertas-García, Helena Liz
AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification. SemEval@NAACL 2022: 771-779 - [c14]Eva García-Soto, Alejandro Martín
Android Malware Detection Through a Pre-trained Model for Code Understanding. UCAmI 2022: 1055-1060 - [i7]Javier Huertas-Tato, Alejandro Martín, David Camacho:
BERTuit: Understanding Spanish language in Twitter through a native transformer. CoRR abs/2204.03465 (2022) - [i6]Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. CoRR abs/2204.08415 (2022) - [i5]Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho:
PART: Pre-trained Authorship Representation Transformer. CoRR abs/2209.15373 (2022) - [i4]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 abs/2212.14727 (2022) - 2021
- [c13]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: 520-530 - [c12]Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. CLEF (Working Notes) 2021: 1963-1975 - [c11]Álvaro Huertas-García
Countering Misinformation Through Semantic-Aware Multilingual Models. IDEAL 2021: 312-323 - [i3]Javier Huertas-Tato, Alejandro Martín, David Camacho:
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. CoRR abs/2103.09635 (2021) - [i2]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 abs/2110.14532 (2021) - 2020
- [j11]Alejandro Martín
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. Appl. Soft Comput. 90: 106144 (2020) - [j10]Alejandro Martín
A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation. Sensors 20(17): 4792 (2020) - [c10]Alejandro Martín
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC 2020: 1-8 - [c9]Javier Huertas-Tato
Cloud Type Identification Using Data Fusion and Ensemble Learning. IDEAL (2) 2020: 137-147 - [p1]Alejandro Martín
Evolving the Architecture and Hyperparameters of DNNs for Malware Detection. Deep Neural Evolution 2020: 357-377 - [i1]Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho:
Fusion of CNNs and statistical indicators to improve image classification. CoRR abs/2012.11049 (2020)
2010 – 2019
- 2019
- [j9]Gonzalo Méndez
Dynamic emphatical narration for reduced authorial burden and increased user freedom in interactive storytelling. Connect. Sci. 31(1): 33-59 (2019) - [j8]Alejandro Martín
Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset. Inf. Fusion 52: 128-142 (2019) - [j7]Amalia Luque
The impact of class imbalance in classification performance metrics based on the binary confusion matrix. Pattern Recognit. 91: 216-231 (2019) - [j6]Amalia Luque
Exploring Symmetry of Binary Classification Performance Metrics. Symmetry 11(1): 47 (2019) - 2018
- [j5]Alejandro Martín
An in-Depth Study of the Jisut Family of Android Ransomware. IEEE Access 6: 57205-57218 (2018) - [j4]Alejandro Martín
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains. Eng. Appl. Artif. Intell. 74: 121-133 (2018) - [j3]Alejandro Calleja, Alejandro Martín
Picking on the family: Disrupting android malware triage by forcing misclassification. Expert Syst. Appl. 95: 113-126 (2018) - [j2]Alejandro Martín
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. J. Parallel Distributed Comput. 117: 180-191 (2018) - 2017
- [j1]Alejandro Martín
MOCDroid: multi-objective evolutionary classifier for Android malware detection. Soft Comput. 21(24): 7405-7415 (2017) - [c8]Alejandro Martín
Evolving Deep Neural Networks architectures for Android malware classification. CEC 2017: 1659-1666 - 2016
- [c7]Alejandro Martín
Studying the Influence of Static API Calls for Hiding Malware. CAEPIA 2016: 363-372 - [c6]Alejandro Martín
Genetic boosting classification for malware detection. CEC 2016: 1030-1037 - [c5]Alejandro Martín
String-based Malware Detection for Android Environments. IDC 2016: 99-108 - [c4]Alejandro Martín
ADROIT: Android malware detection using meta-information. SSCI 2016: 1-8 - [e1]Eduardo E. Veas, Tobias Langlotz, José Martínez-Carranza, Raphaël Grasset, Maki Sugimoto, Alejandro Martín:
2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2016 Adjunct, Merida, Yucatan, Mexico, September 19-23, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-3740-7 [contents] - 2015
- [c3]Javier Esclapés
Development of a low-cost application of virtual reality for the promotion of cultural heritage. DigitalHERITAGE (1) 2015: 421-422 - [c2]Alejandro Martín
Therapy Monitoring and Patient Evaluation with Social Robots. REHAB 2015: 152-155
1990 – 1999
- 1995
- [c1]Jorge Gasós, Alejandro Martín:
Mobile Robot Localization Using Fuzzy Maps. Fuzzy Logic in Artificial Intelligence 1995: 207-224
Coauthor Index
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last updated on 2024-09-09 00:18 CEST by the dblp team
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