• Artículo
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      A deep-learning approach to mining conditions 

      Gallego, Fernando O.; Corchuelo Gil, Rafael (ScienceDirect, 2020-04)
      A condition is a constraint that determines when a consequent holds. Mining them in text is paramount to understand many ...
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      A neural network for semantic labelling of structured information 

      Ayala Hernández, Daniel; Borrego Díaz, Agustín; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David (Elsevier, 2020-04-01)
      Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources ...
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      An encoder–decoder approach to mine conditions for engineering textual data 

      Ortega Gallego, Fernando; Corchuelo Gil, Rafael (ScienceDirect, 2020-05)
      Data engineering seeks to support artificial intelligence processes that extract knowledge from raw data. Many such data ...
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      How efficient deep-learning object detectors are? 

      Soria Morillo, Luis Miguel; Ortega Irizo, Francisco Javier; Álvarez García, Juan Antonio; Velasco Morente, Francisco; Fernández Cerero, Damián (Elsevier, 2020)
      Deep-learning object-detection architectures are gaining attraction, as they are used for critical tasks in relevant ...
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      Soft Computing Methods for Disulfide Connectivity Prediction 

      Márquez Chamorro, Alfonso Eduardo; Aguilar Ruiz, Jesús Salvador (Libertas Academica, 2015)
      The problem of protein structure prediction (PSP) is one of the main challenges in structural bioinformatics. To tackle ...
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      Soft computing methods for the prediction of protein tertiary structures: A survey 

      Márquez Chamorro, Alfonso Eduardo; Asencio Cortés, Gualberto; Santiesteban Toca, Cosme E.; Aguilar Ruiz, Jesús Salvador (Elsevier, 2015)
      The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. ...