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Michelangelo Ceci

Classifying web documents in a hierarchy of categories: a comprehensive study
2007 · Michelangelo Ceci, Donato Malerba · Journal of Intelligent Information Systems · 116
Top-down induction of model trees with regression and splitting nodes
2004 · D. Malerba, F. Esposito, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 111
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
2016 · Michelangelo Ceci, Roberto Corizzo, et al. · IEEE Transactions on Industrial Informatics · 92
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
2003 · Annalisa Appice, Michelangelo Ceci, et al. · Intelligent Data Analysis · 89
CloFAST: closed sequential pattern mining using sparse and vertical id-lists
2015 · Fabio Fumarola, Pasqua Fabiana Lanotte, et al. · Knowledge and Information Systems · 88
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining
2014 · Michelangelo Ceci, Pasqua Fabiana Lanotte, et al. · Lecture notes in computer science · 80
Multi-aspect renewable energy forecasting
2020 · Roberto Corizzo, Michelangelo Ceci, et al. · Information Sciences · 74
Spatial autocorrelation and entropy for renewable energy forecasting
2019 · Michelangelo Ceci, Roberto Corizzo, et al. · Data Mining and Knowledge Discovery · 64
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach
2014 · Gianvito Pio, Donato Malerba, et al. · BMC Bioinformatics · 60
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Self-training for multi-target regression with tree ensembles
2017 · Jurica Levatić, Michelangelo Ceci, et al. · Knowledge-Based Systems · 59
Exploiting transfer learning for the reconstruction of the human gene regulatory network
2019 · Paolo Mignone, Gianvito Pio, et al. · Bioinformatics · 58
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Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data
2019 · Roberto Corizzo, Michelangelo Ceci, et al. · Big Data Research · 58
DENCAST: distributed density-based clustering for multi-target regression
2019 · Roberto Corizzo, Gianvito Pio, et al. · Journal Of Big Data · 54
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Network regression with predictive clustering trees
2012 · Daniela Stojanova, Michelangelo Ceci, et al. · Data Mining and Knowledge Discovery · 54
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering
2013 · Michelangelo Ceci, Alfredo Cuzzocrea, et al. · Journal of Intelligent Information Systems · 53
Scalable auto-encoders for gravitational waves detection from time series data
2020 · Roberto Corizzo, Michelangelo Ceci, et al. · Expert Systems with Applications · 52
Semi-supervised classification trees
2017 · Jurica Levatić, Michelangelo Ceci, et al. · Journal of Intelligent Information Systems · 51
Dealing with spatial autocorrelation when learning predictive clustering trees
2012 · Daniela Stojanova, Michelangelo Ceci, et al. · Ecological Informatics · 51
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Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
2013 · Daniela Stojanova, Michelangelo Ceci, et al. · BMC Bioinformatics · 50
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ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids
2020 · Michelangelo Ceci, Roberto Corizzo, et al. · IEEE Access · 49
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Semi-supervised trees for multi-target regression
2018 · Jurica Levatić, Dragi Kocev, et al. · Information Sciences · 47
Multi-type clustering and classification from heterogeneous networks
2017 · Gianvito Pio, Francesco Serafino, et al. · Information Sciences · 47
Semi-Supervised Multi-View Learning for Gene Network Reconstruction
2015 · Michelangelo Ceci, Gianvito Pio, et al. · PLoS ONE · 47
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Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction
2021 · Gianvito Pio, Paolo Mignone, et al. · Bioinformatics · 46
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Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets
2018 · Ameya Malondkar, Roberto Corizzo, et al. · Information Sciences · 46
Works count: 373
Citation count: 3,477
H-index: 34
I10-index: 93
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