Browsing Forschungszentren by Author "294db036-dfa6-4c7f-bd58-106b8290f040"

Browsing Forschungszentren by Author "294db036-dfa6-4c7f-bd58-106b8290f040"

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  • Bias in data-driven artificial intelligence systems—An introductory survey 
    Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Calibrating mini-mental state examination scores to predict misdiagnosed dementia patients 
    Vyas, Akhilesh; Aisopos, Fotis; Vidal, Maria-Esther; Garrard, Peter; Paliouras, George (Basel : MDPI AG, 2021)
    Mini-Mental State Examination (MMSE) is used as a diagnostic test for dementia to screen a patient’s cognitive assessment and disease severity. However, these examinations are often inaccurate and unreliable either due to ...
  • Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts 
    Benítez-Andrades, José Alberto; García-Ordás, María Teresa; Russo, Mayra; Sakor, Ahmad; Fernandes Rotger, Luis Daniel; Vidal, Maria-Esther (Amsterdam : IOS Press, 2023)
    Social networks have become information dissemination channels, where announcements are posted frequently; they also serve as frameworks for debates in various areas (e.g., scientific, political, and social). In particular, ...
  • FALCON: An entity and relation linking framework over DBpedia 
    Sakor, Ahmad; Singh, Kuldeep; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2019)
    We tackle the problem of entity and relation linking and present FALCON, a rule-based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental ...
  • Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings 
    Manzoor Bajwa, Awais; Collarana, Diego; Vidal, Maria-Esther (Cham : Springer, 2019)
    Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discovery of associations between biomedical entities, e.g., interactions between drugs and targets. Link prediction is a paramount ...
  • Knowledge Graph Creation Challenge: Results for SDM-RDFizer 
    Iglesias, Enrique; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)
    The amount of data being generated in recent years has increased drastically. Thus, a unified schema must be defined to bring multiple data sources into a single format. For that reason, the use of knowledge graphs has ...
  • Resorting to Context-Aware Background Knowledge for Unveiling Semantically Related Social Media Posts 
    Sakor, Ahmad; Singh, Kuldeep; Vidal, Maria-Esther (New York, NY : IEEE, 2022)
    Social media networks have become a prime source for sharing news, opinions, and research accomplishments in various domains, and hundreds of millions of posts are announced daily. Given this wealth of information in social ...
  • Responsible Knowledge Management in Energy Data Ecosystems 
    Janev, Valentina; Vidal, Maria-Esther; Pujić, Dea; Popadić, Dušan; Iglesias, Enrique; Sakor, Ahmad; Čampa, Andrej (Basel : MDPI, 2022)
    This paper analyzes the challenges and requirements of establishing energy data ecosystems (EDEs) as data-driven infrastructures that overcome the limitations of currently fragmented energy applications. It proposes a new ...
  • Towards Certified Distributed Query Processing 
    Rohde, Philipp D.; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)
    In recent years, knowledge graphs (KGs) have gained more and more importance. As a consequence of that, the number of publicly accessible KGs is increasing. Due to their adoption in many areas, KGs are used in numerous ...
  • Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study 
    Benítez-Andrades, José Alberto; Alija-Pérez, José-Manuel; Vidal, Maria-Esther; Pastor-Vargas, Rafael; García-Ordás, María Teresa (Toronto : [Verlag nicht ermittelbar], 2022)
    Background: Eating disorders affect an increasing number of people. Social networks provide information that can help. Objective: We aimed to find machine learning models capable of efficiently categorizing tweets about ...

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