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Marjory Da Costa Abreu

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Associate Professor (Reader) in Ethical Artificial Intelligence and Transforming Lives Fellow

Sheffield Hallam University

United Kingdom

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About

Marjory Da Costa Abreu is a Senior Lecturer in Ethical Artificial Intelligence at Sheffield Hallam University, UK. Her research areas include artificial intelligence regulation, pattern recognition in health data, and bias detection in social media. Recent publications cover topics such as the impact of AI regulations on education, gender bias in hate speech classification, and analysis of COVID-19 symptomatology using machine learning techniques.

Recent Grants

Grant: Close

Museum Visitor Experience and the Responsible Use of AI to Communicate Colonial Collections

Open Date: 2024-02-01

Close Date: 2024-10-01

Grant: Close

South Yorkshire Digital Health Hub

Open Date: 2023-09-01

Close Date:

Grant: Open

The South Yorkshire Digital Health Hub

Open Date: 2023-08-31

Close Date: 2027-08-30

Grant: Close

Droned Life

Open Date: 2023-01-01

Close Date:

Grant: Open

Droned Life: Data, Narrative, and the Aesthetics of Worldmaking

Open Date: 2023-01-01

Close Date: 2027-07-31

Articles (13)

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2026

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2025

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2025

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2025

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2025

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2024

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2023

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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 (3)

Bruno Motta de Carvalho

Professor

Federal University of Rio Grande do Norte

BRAZIL

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Luiz Affonso Guedes

Full Professor

Federal University of Rio Grande do Norte

BRAZIL

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Allyson Araújo

Professor Associado IV

Federal University of Rio Grande do Norte

BRAZIL

View details

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Marjory Da Costa Abreu

Research Interests

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About

Recent Grants

Articles (13)

Acoustic Analysis and Unsupervised Clustering of Brazilian Portuguese Accents

Regulamentação da inteligência artificial no Brasil, na UE e no UK e seus impactos na educação

Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology

Gender bias detection on hate speech classification: an analysis at feature-level

A multimodal mass spectrometry imaging workflow for ballpoint pen ink analysis and “forgery” detection

Using Association Rules to Obtain Sets of Prevalent Symptoms throughout the COVID-19 Pandemic: An Analysis of Similarities between Cases of COVID-19 and Unspecified SARS in São Paulo-Brazil

Exploring Automatic Hate Speech Detection on Social Media: A Focus on Content-Based Analysis

Evaluating Time Influence over Performance of Machine-Learning-Based Diagnosis: A Case Study of COVID-19 Pandemic in Brazil

Phoneme analysis for multiple languages with fuzzy‐based speaker identification

Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning

Investigating the use of an ensemble of evolutionary algorithms for letter identification in tremulous medieval handwriting

An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach

A survey on automatic speech recognition systems for Portuguese language and its variations

Collaborators (3)

Bruno Motta de Carvalho

Luiz Affonso Guedes

Allyson Araújo

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