Fernando Gutierrez

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—Naive Bayesian learning has been popular in data mining applications. However, the performance of naive Bayesian learning is sometimes poor due to the unrealistic assumption that all features are equally important and independent given the class value. Therefore, it is widely known that the performance of naive Bayesian learning can be improved by(More)
OBJECTIVES The objectives were to compare the personality of fibromyalgia (FM) patients with other chronic painful and nonpainful disorders considering the confusion due to psychopathology and to assess the clustering of FM patients according to their personality profile. METHODS Differences in the NEO Five-Factor Inventory between FM, non-FM chronic pain(More)
OBJECTIVE Pegylated interferon (PegIFN) and ribavirin (RBV) treatment for the hepatitis C virus (HCV) infection can induce depressive episodes. Personality traits have been associated with mood disorders. The aim of this study was to evaluate the personality profile as a risk factor for induced depression by PegIFN and RBV treatment in patients with HCV. (More)
Differences in antipsychotic treatment response, clinical course and outcome of schizophrenia could be related to gender-related cerebral differences in anatomy and function. The aim of the study was to assess sex differences in the striatal dopamine D2 receptor binding in 15 drug-naive schizophrenic patients (seven males, eight females) using (123)I-IBZM(More)
BACKGROUND Prevalence and clinical correlates of depersonalization symptoms have been associated with panic disorder. Personality traits might increase the likelihood of experiencing depersonalization symptoms or depersonalization disorder in panic patients. AIMS The objectives of this study are to establish the prevalence of depersonalization symptoms(More)
OBJECTIVES We tested the hypothesis that endogenous auditory verbal hallucinations (AVH) involve activation of auditory/linguistic association cortices that are usually activated by externally presented speech. METHODS Nine neuroleptic-naive patients with first-episode schizophrenia (Diagnostic and Statistical Manual for Mental Disorders-IV criteria) with(More)
Automatic grading systems for summaries and essays have been studied for years. Most commercial and research implementations are based in statistical methods, such as Latent Semantic Analysis (LSA), which can provide high accuracy on similarity between the essay and the graded or standard essays, but they can offer very limited feedback. In the present(More)
—Although automatic text grading systems have reached an accuracy level comparable to human grading, with successful commercial and research implementations (e.g., Latent Semantic Analysis), these systems can provide limited feedback about which statements of the text are incorrect and why they are incorrect. In the present work, we propose the use of a(More)
  • Pedro Albarrán, Raquel Carrasco, Javier Ruiz-Castillo, Fernando Gutierrez, Del Arroyo, Pedro Henrique Sant 'anna +1 other
  • 2014
This paper analyzes a sample of economists from two sources: faculty members working in 2007 in a selection of the top 81 Economics departments in the world, and Econometric Society Fellows active at that date but working elsewhere in other institutions. Productivity is measured in terms of a quality index that weights the publications of each individual in(More)