A meta-learning based framework for building algorithm recommenders: An application for educational arena

A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection

(2015) Enrique Leyva et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’

(2015) Sue Newell et al.   JOURNAL OF STRATEGIC INFORMATION SYSTEMS

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

Metalearning: a survey of trends and technologies

(2013) Christiane Lemke et al.   ARTIFICIAL INTELLIGENCE REVIEW

Educational data mining: A survey and a data mining-based analysis of recent works

(2013) Alejandro Peña-Ayala   EXPERT SYSTEMS WITH APPLICATIONS

An automatic extraction method of the domains of competence for learning classifiers using data complexity measures

(2013) Julián Luengo et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Experiment databases

(2012) Joaquin Vanschoren et al.   MACHINE LEARNING

Automatic classifier selection for non-experts

(2012) Matthias Reif et al.   PATTERN ANALYSIS AND APPLICATIONS

Educational Data Mining: A Review of the State of the Art

(2010) Cristóbal Romero et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE