Editorial Board for section 'Forecasting in Computer Science'
- Power and Energy Forecasting Section
- Forecasting in Economics and Management Section
- Forecasting in Computer Science Section
- Weather and Forecasting Section
- Environmental Forecasting Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
Department of Computer Science, University of Bari, 70125 Bari, BA, Italy
Interests: data mining; machine learning; text mining
Special Issues, Collections and Topics in MDPI journals
Interests: data mining; machine learning; text mining
Special Issues, Collections and Topics in MDPI journals
Department of Statistics, Giresun University, Giresun 28200, Turkey
Interests: forecasting; artificial neural networks; fuzzy inference systems
Interests: forecasting; artificial neural networks; fuzzy inference systems
Information Systems and Business Intelligence, Peter Faber Business School, Australian Catholic University, Sydney, NSW, Australia
Interests: artificial intelligence; machine learning; decision support system; Internet of Things; fuzzy systems
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; decision support system; Internet of Things; fuzzy systems
Special Issues, Collections and Topics in MDPI journals
1. Mercedes-Benz AG, Maintenance Engineering Department, Mercedesstraße 1, 28309 Bremen, Germany
2. Department of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany
Interests: meta-Learning for model selection; time series forecasting; machine learning; predictive maintenance; condition monitoring; artificial intelligence; neural networks; Industry 4.0 applications
2. Department of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany
Interests: meta-Learning for model selection; time series forecasting; machine learning; predictive maintenance; condition monitoring; artificial intelligence; neural networks; Industry 4.0 applications
1. Faculty of Economics, University of Porto, 4200-464 Porto, Portugal
2. INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal
Interests: time series forecasting; machine learning; deep learning; data science; big data
Special Issues, Collections and Topics in MDPI journals
2. INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal
Interests: time series forecasting; machine learning; deep learning; data science; big data
Special Issues, Collections and Topics in MDPI journals
