Eugenio Martínez Cámara

Profesor Contratado Doctor

Universidad de Jaén

Spain

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Dr. Eugenio Martínez Cámara is a Profesor Contratado Doctor at Universidad de Jaén, Spain. His research areas encompass data augmentation and federated learning within natural language processing, as evidenced by his recent articles addressing topics such as radiological report classification and the analysis of extremism. He is actively exploring quality benchmarking in question answering, sentiment analysis in crowd decision-making, and the threats associated with federated learning.

Articles (16)

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2025

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2021

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2021

Collaborators (2)

Maria-Teresa Martin-Valdivia

Universidad de Jaén

SPAIN

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David Camacho

Professor

Universidad Politécnica de Madrid

SPAIN

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Eugenio Martínez Cámara

Research Interests

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Articles (16)

Data augmentation based on large language models for radiological report classification

Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing

Towards Quality Benchmarking in Question Answering over Tabular Data in Spanish,Una Evaluación de Calidad en Preguntas y Respuestas sobre Datos Tabulares en Español

Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd

Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

Dynamic defense against byzantine poisoning attacks in federated learning

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification

ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries

Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

Collaborators (2)

Maria-Teresa Martin-Valdivia

David Camacho

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