Metalearning

Introduction.- Part I, Basic Architecture of Metalearning and AutoML Systems.- Metalearning Approaches for Algorithm Selection I.- Evaluating Recommendations of Metalearning / AutoML Systems.- Metalearning Approaches for Algorithm Selection II.- Automating Machine Learning (AutoML) and Algorithm Configuration.- Dataset Characteristics (Metafeatures).- Automating the Workflow / Pipeline Design.- Part II, Extending the Architecture of Metalearning and AutoML Systems.- Setting Up Configuration Spaces and Experiments.- Using Metalearning in the Construction of Ensembles.- Algorithm Recommendation for Data Streams.- Transfer of Metamodels Across Tasks.- Automating Data Science.- Automating the Design of Complex Systems.- Repositories of Experimental Results (OpenML).- Learning from Metadata in Repositories.

Pavel B. Brazdil is a senior researcher at LIAAD INESC TEC, Porto and Full Professor at FEP, University of Porto, Portugal and since 2019, Professor Emeritus. He obtained his PhD in machine learning in 1981 at the University of Edinburgh. Since the 1990s he has pioneered the area of metalearning and supervised various PhD students in this area. His main interests lie in machine learning, data mining, algorithm selection, metalearning, AutoML and text mining, among others. He has edited 6 books and more than 110 papers referenced on Google Scholar, of which approximately 80 are also on ISI/DBLP/Scopus. He was a program chair of various machine learning conferences (e.g., in 1992,2005), has co-organized various workshops on metalearning and acted as a co-editor of two special issues of MLJ on this topic. He is a member of the editorial board of the Machine Learning Journal and a Fellow of EurAI.

Jan N. van Rijn obtained his PhD in Computer Sciencein 2016 at Leiden Institute of Advanced Computer Science (LIACS), Leiden University (the Netherlands). During his PhD, he made several funded research visits to the University of Waikato (New Zealand) and University of Porto (Portugal). After obtaining his PhD, he worked as a postdoctoral researcher in the Machine Learning lab at University of Freiburg (Germany), headed by Prof. Dr. Frank Hutter, after which he moved to work as a postdoctoral researcher at Columbia University in the City of New York (USA). He currently holds a position as assistant professor at LIACS, Leiden University. His research aim is to democratize the access to machine learning and artificial intelligence across societal institutions. He is one of the founders of OpenML.org, an open science platform for machine learning. His research interests include artificial intelligence, automated machine learning and metalearning.

Carlos Soares is an Associate Professor at the Faculty of Engineering of U. Porto. Carlos is