1.1k citations · 1.2k across the 6 of their papers we have counts for
6 papers
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
Aurora Ramírez, José Raúl Romero, Carlos García-Martínez +1
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-s…
Modeling and predicting students' engagement behaviors using mixture Markov models
R. Maqsood, P. Ceravolo, C. Romero +1
Students' engagements reflect their level of involvement in an ongoing learning process which can be estimated through their interactions with a computer-based learning or assessme…
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
J. M. Luna, H. M. Fardoun, F. Padillo +2
The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce.…
Educational data mining and learning analytics: An updated survey
C. Romero, S. Ventura
This survey is an updated and improved version of the previous one published in 2013 in this journal with the title data mining in education. It reviews in a comprehensible and ver…
Interactive Multi-Objective Evolutionary Optimization of Software Architectures
Aurora Ramírez, José Raúl Romero, Sebastián Ventura
While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met. Even when these quality…
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks
Paolo G. Cachi, Sebastian Ventura, Krzysztof J. Cios
In this paper we explore capabilities of spiking neural networks in solving multi-task classification problems using the approach of single-tasking of multiple tasks. We designed a…