Alejandro Martín

Orcid: 0000-0002-0800-7632

According to our database1, Alejandro Martín authored at least 46 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron.
CoRR, 2024

Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks.
CoRR, 2024

2023
BERTuit: Understanding Spanish language in Twitter with transformers.
Expert Syst. J. Knowl. Eng., November, 2023

Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage.
Appl. Soft Comput., September, 2023

Evolving Generative Adversarial Networks to improve image steganography.
Expert Syst. Appl., July, 2023

Exploring Dimensionality Reduction Techniques in Multilingual Transformers.
Cogn. Comput., March, 2023

Understanding writing style in social media with a supervised contrastively pre-trained transformer.
CoRR, 2023

Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS.
Proceedings of the Workshop on NLP applied to Misinformation co-located with 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Using Authorship Embeddings to Understand Writing Style in Social Media.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
Recent advances on effective and efficient deep learning-based solutions.
Neural Comput. Appl., 2022

FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference.
Knowl. Based Syst., 2022

Fusing CNNs and statistical indicators to improve image classification.
Inf. Fusion, 2022

SILT: Efficient transformer training for inter-lingual inference.
Expert Syst. Appl., 2022

PART: Pre-trained Authorship Representation Transformer.
CoRR, 2022

BERTuit: Understanding Spanish language in Twitter through a native transformer.
CoRR, 2022

Android Malware Detection Through a Pre-trained Model for Code Understanding.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

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@NAACL 2022, 2022

Generating Authorship Embeddings with Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2022

Detection of False Information in Spanish Using Machine Learning Techniques.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference.
CoRR, 2021

Countering Misinformation Through Semantic-Aware Multilingual Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Evolving the Architecture and Hyperparameters of DNNs for Malware Detection.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation.
Sensors, 2020

Fusion of CNNs and statistical indicators to improve image classification.
CoRR, 2020

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm.
Appl. Soft Comput., 2020

Cloud Type Identification Using Data Fusion and Ensemble Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Exploring Symmetry of Binary Classification Performance Metrics.
Symmetry, 2019

The impact of class imbalance in classification performance metrics based on the binary confusion matrix.
Pattern Recognit., 2019

Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset.
Inf. Fusion, 2019

Dynamic emphatical narration for reduced authorial burden and increased user freedom in interactive storytelling.
Connect. Sci., 2019

2018
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation.
J. Parallel Distributed Comput., 2018

Picking on the family: Disrupting android malware triage by forcing misclassification.
Expert Syst. Appl., 2018

CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains.
Eng. Appl. Artif. Intell., 2018

An in-Depth Study of the Jisut Family of Android Ransomware.
IEEE Access, 2018

2017
MOCDroid: multi-objective evolutionary classifier for Android malware detection.
Soft Comput., 2017

Evolving Deep Neural Networks architectures for Android malware classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
ADROIT: Android malware detection using meta-information.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

String-based Malware Detection for Android Environments.
Proceedings of the Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing, 2016

Genetic boosting classification for malware detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Studying the Influence of Static API Calls for Hiding Malware.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Therapy Monitoring and Patient Evaluation with Social Robots.
Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques, 2015

Development of a low-cost application of virtual reality for the promotion of cultural heritage.
Proceedings of the 2nd Digital Heritage International Congress, 2015

1995
Mobile Robot Localization Using Fuzzy Maps.
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1995


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