Miriam Fernández

ORCID: 0000-0001-5939-4321
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Topic Modeling
  • Social Media and Politics
  • Sentiment Analysis and Opinion Mining
  • Complex Network Analysis Techniques
  • Hate Speech and Cyberbullying Detection
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Service-Oriented Architecture and Web Services
  • Misinformation and Its Impacts
  • Advanced Text Analysis Techniques
  • Spam and Phishing Detection
  • Phytoplasmas and Hemiptera pathogens
  • Online Learning and Analytics
  • Web Data Mining and Analysis
  • Insect behavior and control techniques
  • Image Retrieval and Classification Techniques
  • Biomedical Text Mining and Ontologies
  • Insect-Plant Interactions and Control
  • Ethics and Social Impacts of AI
  • Research on scale insects
  • Public Relations and Crisis Communication
  • Plant and soil sciences
  • Terrorism, Counterterrorism, and Political Violence
  • Gender, Feminism, and Media

The Open University
2016-2025

Open Knowledge (United Kingdom)
2012-2024

Pontificia Universidad Católica de Chile
2023-2024

Hospital Clínico Universitario de Valladolid
2023

Stockholm University
2021

Universidad Politécnica de Madrid
2012-2020

Instituto de Ciencia y Tecnología de Polímeros
2020

Universidad Técnica de Ambato
2019

Tempe Union High School District
2017

Milton Keynes Hospital
2016

Abstract Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their might affect everyone, everywhere, anytime, entailing concerns about potential human rights issues. Therefore, it is necessary move beyond traditional AI algorithms optimized for predictive performance embed ethical legal principles in their design, training, deployment ensure social good while still benefiting from the huge of...

10.1002/widm.1356 article EN cc-by Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery 2020-02-03

Semantic search has been one of the motivations semantic Web since it was envisioned. We propose a model for exploitation ontology-based knowledge bases to improve over large document repositories. In our view information retrieval on Web, engine returns documents rather than, or in addition to, exact values response user queries. For this purpose, approach includes an scheme semiautomatic annotation and system. The is based adaptation classic vector-space model, including weighting...

10.1109/tkde.2007.22 article EN IEEE Transactions on Knowledge and Data Engineering 2007-01-04

10.1016/j.ipm.2015.01.005 article EN Information Processing & Management 2015-03-07

The 'manosphere' has been a recent subject of feminist scholarship on the web. Serious accusations have levied against it for its role in encouraging misogyny and violent threats towards women online, as well potentially radicalising lonely or disenfranchised men. Feminist scholars evidence this through shift language interests some men's rights activists manosphere, away from traditional subjects family law mental health more sexually explicit, violent, racist homophobic language. In paper,...

10.1145/3292522.3326045 article EN 2019-06-26

With the continued growth of online semantic information, processes searching and managing this massive scale heterogeneous content have become increasingly challenging. In work, we present PowerAqua, an ontologybased Question Answeri

10.3233/sw-2011-0030 article EN Semantic Web 2012-01-01

Misinformation has become a common part of our digital media environments and it is compromising the ability societies to form informed opinions. It generates misperceptions, which have affected decision making processes in many domains, including economy, health, environment, elections, among others. its generation, propagation, impact, management being studied through variety lenses (computer science, social journalism, psychology, etc.) since widely affects multiple aspects society. In...

10.1145/3184558.3188730 article EN 2018-01-01

In an increasingly digital world, identifying signs of online extremism sits at the top priority list for counter-extremist agencies. Researchers and governments are investing in creation advanced information technologies to identify counter through intelligent large-scale analysis data. However, best our knowledge, these neither based on, nor do they take advantage of, existing theories studies radicalisation. this paper we propose a computational approach detecting predicting...

10.1145/3201064.3201082 article EN 2018-05-15

During 2003, surveys of sugarcane yellow leaf disease and papaya bunchy top-like were carried out on plantations in Havana province, Cuba, to determine the roles weeds Auchenorrhyncha insects epidemiology these diseases. More than 250 plant insect samples collected indexed by using a nested PCR for phytoplasma 16S rDNA with generic primer pairs P1/P7 R16F2n/R16R2. The products further characterized restriction fragment length polymorphism Hae III, Alu I, Sau 3AI, Tru 9I, Hha Hpa II Taq I...

10.1099/ijs.0.63797-0 article EN INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY 2005-11-01

While semantic search technologies have been proven to work well in specific domains, they still confront two main challenges scale up the Web its entirety. In this we address issue with a novel system that a) provides user capability query Semantic information using natural language, by means of an ontology-based Question Answering (QA) [14] and b) complements answers retrieved during QA process ranked list documents from [3]. Our results show capabilities can be used complement enhance...

10.1109/icsc.2008.52 article EN 2008-08-01

Abstract Context modeling has long been acknowledged as a key aspect in wide variety of problem domains. In this paper we focus on the combination contextualization and personalization methods to improve performance personalized information retrieval. The aspects our proposed approach are (1) explicit distinction between historic user context live context, (2) use ontology-driven representations domain discourse, common, enriched representational ground for content meaning, interests,...

10.1017/s0269888907001282 article EN The Knowledge Engineering Review 2008-03-01

This work is a detailed companion reproducibility paper of the methods and experiments proposed by Lastra-Díaz García-Serrano in (2015, 2016) [56–58], which introduces following contributions: (1) new efficient representation model for taxonomies, called PosetHERep, an adaptation half-edge data structure commonly used to represent discrete manifolds planar graphs; (2) Java software library Half-Edge Semantic Measures Library (HESML) based on implements most ontology-based semantic similarity...

10.1016/j.is.2017.02.002 article EN cc-by-nc-nd Information Systems 2017-02-21

During surveys of sugarcane fields in western and central Cuba from December 2001 to March 2003, the delphacid planthopper Saccharosydne saccharivora was most prevalent Auchenorrhyncha fauna surveyed. Individuals S. collected tested positive for yellow leaf phytoplasma (SCYLP). were reared cages used experimental transmission studies SCYLP. The given acquisition‐access feeds 72 h on SCYLP‐infected canes field followed by an inoculation‐access period 15 days healthy seedlings. Symptoms...

10.1111/j.1365-3059.2005.01242.x article EN Plant Pathology 2005-07-26
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