10 citations · 17 across the 3 of their papers we have counts for
3 papers
Capturing waste collection planning expert knowledge in a fitness function through preference learning
Laura Fernández Díaz, Miriam Fernández Díaz, José Ramón Quevedo +1
This paper copes with the COGERSA waste collection process. Up to now, experts have been manually designed the process using a trial and error mechanism. This process is not global…
Improving importance estimation in covariate shift for providing accurate prediction error
Laura Fdez-Díaz, Sara González Tomillo, Elena Montañés +1
In traditional Machine Learning, the algorithms predictions are based on the assumption that the data follows the same distribution in both the training and the test datasets. Howe…
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés
In Hyperparameter Optimization (HPO), only the hyperparameter configuration with the best performance is chosen after performing several trials, then, discarding the effort of trai…