Search Results (Keywords:"Ingeniería Informática", Author:"Araujo,Lourdes")

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Fabregat, Hermenegildo, Araujo, Lourdes y Martinez-Romo, Juan . (2019) Deep learning approach for negation trigger and scope recognition.  5.78 36 12
Rodriguez-Prieto, Oscar, Araujo, Lourdes y Martínez-Romo, Juan . (2019) Discovering related scientific literature beyond semantic similarity: a new co-citation approach.  5.78 63 16
Fernandez-Hernandez, Jorge, Araujo, Lourdes y Martinez-Romo, Juan . (2024) Generation of social network user profiles and their relationship with suicidal behaviour.  5.44 38 15
Fabregat, Hermenegildo, Duque, Andrés, Martinez-Romo, Juan y Araujo, Lourdes . (2023) Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction.  5.44 46 17
Duque, Andrés, Fabregat, Hermenegildo, Araujo, Lourdes y Martinez-Romo, Juan . (2021) A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports.  5.44 59 15
Fabregat, Hermenegildo, Martínez-Romo, Juan y Araujo, Lourdes . (2020) Understanding and Improving Disability Identification in Medical Documents.  5.44 31 16
Araujo, Lourdes, López-Ostenero, Fernando, Martínez-Romo, Juan y Plaza, Laura . (2020) Deep-Learning Approach to Educational Text Mining and Application to the Analysis of Topics’ Difficulty.  4.97 63 18
Sánchez-de-Castro-Fernández, Alejandro, Araujo, Lourdes y Martinez-Romo, Juan . (2023) RoBERTime: un nuevo modelo para la detección de expresiones temporales en español.  4.97 59 17
Martinez-Rico, Juan R., Martinez-Romo, Juan y Araujo, Lourdes . (2019) Can deep learning techniques improve classification performance of vandalism detection in Wikipedia?.  4.97 42 11
Sánchez‑de‑Madariaga, Ricardo, Martinez‑Romo, Juan, Cantero Escribano, José Miguel y Araujo, Lourdes . (2022) Semi‑supervised incremental learning with few examples for discovering medical association rules.  4.63 54 19
Araujo, Lourdes, Martinez‑Romo, Juan, Bisbal, Otilia, Sanchez‑de‑Madariaga, Ricardo y The Cohort of the National AIDS Network (CoRIS) . (2022) Discovering HIV related information by means of association rules and machine learning.  4.17 52 15