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Statistical assessment of experimental results: a graphical approach for comparing algorithms
Arza, E.
; Ceberio, J.; Irurozki, E.; Pérez, A. (2021-08-25)
; Ceberio, J.; Irurozki, E.; Pérez, A. (2021-08-25)
Non-deterministic measurements are common in real-world scenarios: the performance of a stochastic optimization algorithm or the total reward of a reinforcement learning agent in a chaotic environment are just two examples ...
From habitat to management: a simulation framework for improving statistical methods in fisheries science
(2021-07-07)
Monte Carlo simulation consists of computer experiments that involve creating data by pseudo-random sampling and has shown to be a powerful tool for studying the performance of statistical methods. In this thesis Monte ...
On the symmetry of the Quadratic Assignment Problem through Elementary Landscape Decomposition
(2021-07)
When designing meta-heuristic strategies to optimize the quadratic assignment problem (QAP), it is important to take into account the specific characteristics of the instance to be solved. One of the characteristics that ...
A cheap feature selection approach for the K -means algorithm
Capo, M.; Perez, A.; Lozano, J.A. (2021-05)
(2021-05)
The increase in the number of features that need to be analyzed in a wide variety of areas, such as genome sequencing, computer vision or sensor networks, represents a challenge for the K-means algorithm. In this regard, ...
Efficient meta-heuristics for spacecraft trajectory optimization
Shirazi, A. (2021-03)
(2021-03)
Meta-heuristics has a long tradition in computer science. During the past few years, different types of meta-heuristics, specially evolutionary algorithms got noticeable attention in dealing with real-world optimization ...
Simulation approach for assessing the performance of the γEWMA control chart
(2021-02-22)
i) Purpose: The purpose of this paper is to evaluate the performance of a modified EWMA control chart ($\gamma$EWMA control chart), which considers data distribution and incorporate its correlation structure, simulating ...
On the fair comparison of optimization algorithms in different machines
Arza, E.; Pérez, A.; Ceberio, J.; Irurozki, E. (2021)
; Pérez, A.; Ceberio, J.; Irurozki, E. (2021)
An experimental comparison of two or more optimization algorithms requires the same computational resources to be assigned to each algorithm. When a maximum runtime is set as the stopping criterion, all algorithms need to ...
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process.
Montenegro, C.; Santana, R.; Lozano, J.A. (2021)
(2021)
An End-Of-Turn Detection Module (EOTD-M) is an essential component of au- tomatic Spoken Dialogue Systems. The capability of correctly detecting whether a user’s utterance has ended or not improves the accuracy in interpreting ...
A Review on Outlier/Anomaly Detection in Time Series Data
Blázquez-García, A.; Conde, A.; Mori, U.; Lozano, J.A. (2021)
(2021)
Recent advances in technology have brought major breakthroughs in data collection, enabling a large amount of data to be gathered over time and thus generating time series. Mining this data has become an important task for ...
Delineation of site‐specific management zones using estimation of distribution algorithms
Lozano, J.A.; Velasco, J.; Vicencio, S.; Cid-García, N.M. (2021)
; Velasco, J.; Vicencio, S.; Cid-García, N.M. (2021)
In this paper, we present a novel methodology to solve the problem of delineating homogeneous site-specific management zones (SSMZ) in agricultural fields. This problem consists of dividing the field into small regions for ...