Publications by authors named "J Manuel Colmenar"

Reproducibility of experiments is a complex task in stochastic methods such as evolutionary algorithms or metaheuristics in general. Many works from the literature give general guidelines to favor reproducibility. However, none of them provide both a practical set of steps or software tools to help in this process.

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The greatest relative changes in marine biodiversity accumulation occurred during the Early Paleozoic. The precision of temporal constraints on these changes is crude, hampering our understanding of their timing, duration, and links to causal mechanisms. We match fossil occurrence data to their lithostratigraphical ranges in the Paleobiology Database and correlate this inferred taxon range to a constructed set of biostratigraphically defined high-resolution time slices.

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Article Synopsis
  • Predicting glucose levels is essential for people with diabetes to prevent complications, and machine learning techniques show promise for improving this task.
  • Several methods, including genetic programming and random forests, are employed to model glucose concentration based on continuous monitoring data, carbohydrate intakes, and insulin injections.
  • The study indicates that while 90% of predictions are accurate, there's still a margin for error, with some serious inaccuracies remaining in the best methods used.
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Chronic patients must carry out a rigorous control of diverse factors in their lives. Diet, sport activity, medical analysis or blood glucose levels are some of them. This is a hard task, because some of these controls are performed very often, for instance some diabetics measure their glucose levels several times every day, or patients with chronic renal disease, a progressive loss in renal function, should strictly control their blood pressure and diet.

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