Expert Systems with Applications, 0957-4174

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  1. 2020
  2. Learning hidden Markov models with persistent states by penalizing jumps

    Peter Nystrup, Erik Lindström & Henrik Madsen, 2020, In : Expert Systems with Applications. 150, 113307.

    Research output: Contribution to journalArticle

  3. 2015
  4. Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues

    M. A. Lago, M. J. Rupérez, F. Martínez-Martínez, S. Martínez-Sanchis, P. R. Bakic & C. Monserrat, 2015 Jul 6, In : Expert Systems with Applications. 42, 21, p. 7942-7950 9 p.

    Research output: Contribution to journalArticle

  5. 2012
  6. Developing a supply chain disruption analysis model: Application of colored Petri-nets

    S. Hessameddin Zegordi & Hoda Davarzani, 2012, In : Expert Systems with Applications. 39, 2, p. 2102-2111

    Research output: Contribution to journalArticle

  7. Predicting seminal quality with artificial intelligence methods

    David Gil, Jose Luis Girela, Joaquin De Juan, M. Jose Gomez-Torres & Magnus Johnsson, 2012, In : Expert Systems with Applications. 39, 16, p. 12564-12573

    Research output: Contribution to journalArticle

  8. 2010
  9. Using Support Vector Machines in Diagnoses of Urological Dysfunctions

    David Gil & Magnus Johnsson, 2010, In : Expert Systems with Applications. 37, p. 4713-4718

    Research output: Contribution to journalArticle

  10. 2009
  11. Application of artificial neural networks in the diagnosis of urological dysfunctions

    David Gil, Magnus Johnsson, Juan Manuel Garcia Chamizo, Antonio Soriano Paya & Daniel Ruiz Fernandez, 2009, In : Expert Systems with Applications. 36, 3, p. 5754-5760

    Research output: Contribution to journalReview article