Alejandro Martín

Associate Professor

Universidad Politécnica de Madrid

Spain

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Alejandro Martín is an Associate Professor at the Universidad Politécnica de Madrid. His research focuses on artificial intelligence, misinformation in social media, and image processing. Recent work includes exploring AI-generated text detection, improving image steganography, and developing semi-automated fact-checking methods. He actively investigates the dynamics of misinformation spread, particularly in the context of public health.

Articles (13)

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2026

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (5)

José-Manuel Noguera-Vivo

Head of Department

Universidad Católica San Antonio de Murcia

SPAIN

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Julian Fierrez

SPAIN

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David Camacho

Professor

Universidad Politécnica de Madrid

SPAIN

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ISRAEL GONZALEZ-CARRASCO

Universidad Carlos III de Madrid

SPAIN

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Angel Garcia Olaya

Universidad Carlos III de Madrid

SPAIN

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Alejandro Martín

Research Interests

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Articles (13)

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI-generated text detection

Understanding writing style in social media with a supervised contrastively pre-trained transformer

Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage

Evolving Generative Adversarial Networks to improve image steganography

Fusing CNNs and statistical indicators to improve image classification

Desinformación y vacunas en redes

Desinformación y vacunas en redes

FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference

SILT: Efficient transformer training for inter-lingual inference

Virality, only the tip of the iceberg: ways of spread and interaction around COVID-19 misinformation in Twitter

Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation

A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

Collaborators (5)

José-Manuel Noguera-Vivo

Julian Fierrez

David Camacho

ISRAEL GONZALEZ-CARRASCO

Angel Garcia Olaya

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