World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
3634
World Ranking
12319
National Ranking
429

Overview

Michelangelo Ceci is affiliated with the University of Bari Aldo Moro in Italy and has contributed extensively to the intersection of computer science and molecular biology. Their research spans multiple disciplines, focusing notably on artificial intelligence, molecular biology, computer networks and communications, signal processing, and information systems. This multidisciplinary approach aligns with their publication record, which includes work across various scientific domains.

Their scientific output includes notable papers such as:

  • "Multi-aspect renewable energy forecasting" (2020) published in Information Sciences
  • "Scalable auto-encoders for gravitational waves detection from time series data" (2020) published in Expert Systems with Applications
  • "Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction" (2021) published in Bioinformatics
  • "ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids" (2020) published in IEEE Access
  • "Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering" (2020) published in BMC Bioinformatics

Ceci has collaborated frequently with co-authors such as Gianvito Pio, Paolo Mignone, Roberto Corizzo, Antonio Pellicani, and Sašo Džeroski. These collaborations reflect ongoing research partnerships across related areas.

Their publications are regularly featured in venues including:

  • Machine Learning
  • Journal of Intelligent Information Systems
  • Information Sciences
  • Expert Systems with Applications
  • 2022 IEEE International Conference on Big Data (Big Data)

In addition, Ceci has contributed to books published by Springer Science+Business Media. Titles include "ECML PKDD 2020 Workshops" (2020), "Digital Libraries: The Era of Big Data and Data Science" (2020), "Foundations of Intelligent Systems" (2022), and "New Frontiers in Mining Complex Patterns" (2020).

Their main fields of study are computer science and biochemistry, genetics, and molecular biology. Subfields where they have a significant publication record are:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Networks and Communications
  • Signal Processing
  • Information Systems

Ceci's primary research topics cover:

  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Data Stream Mining Techniques
  • Text and Document Classification Technologies
  • Advanced Graph Neural Networks
  • Network Security and Intrusion Detection
  • Energy Load and Power Forecasting

Best Publications

  • Classifying web documents in a hierarchy of categories: a comprehensive study

    Michelangelo Ceci;Donato Malerba

  • Discovery of spatial association rules in geo-referenced census data: A relational mining approach

    Annalisa Appice;Michelangelo Ceci;Antonietta Lanza;Francesca A. Lisi

  • Top-down induction of model trees with regression and splitting nodes

    D. Malerba;F. Esposito;M. Ceci;A. Appice

  • Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

    Michelangelo Ceci;Roberto Corizzo;Fabio Fumarola;Donato Malerba

  • CloFAST: closed sequential pattern mining using sparse and vertical id-lists

    Fabio Fumarola;Pasqua Fabiana Lanotte;Michelangelo Ceci;Donato Malerba

  • Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

    F. Esposito;D. Malerba;G. Semeraro;S. Ferilli

  • Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining

    Michelangelo Ceci;Pasqua Fabiana Lanotte;Fabio Fumarola;Dario Pietro Cavallo

  • Mr-SBC: A Multi-relational Naïve Bayes Classifier

    Michelangelo Ceci;Annalisa Appice;Donato Malerba

  • Multi-aspect renewable energy forecasting

    Roberto Corizzo;Roberto Corizzo;Michelangelo Ceci;Michelangelo Ceci;Hadi Fanaee-T;Joao Gama

  • Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach.

    Gianvito Pio;Donato Malerba;Domenica D'Elia;Michelangelo Ceci

  • Network regression with predictive clustering trees

    Daniela Stojanova;Michelangelo Ceci;Annalisa Appice;Sašo DžEroski

  • Redundant feature elimination for multi-class problems

    Annalisa Appice;Michelangelo Ceci;Simon Rawles;Peter Flach

  • Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System

    Ingo Frommholz;Holger Brocks;Ulrich Thiel;Erich J. Neuhold

  • Hierarchical classification of HTML documents with WebClassII

    Michelangelo Ceci;Donato Malerba

  • Spatial autocorrelation and entropy for renewable energy forecasting

    Michelangelo Ceci;Roberto Corizzo;Donato Malerba;Aleksandra Rashkovska

  • A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes.

    Gianvito Pio;Michelangelo Ceci;Domenica D'Elia;Corrado Loglisci

  • Exploiting transfer learning for the reconstruction of the human gene regulatory network.

    Paolo Mignone;Gianvito Pio;Domenica D'Elia;Michelangelo Ceci;Michelangelo Ceci

  • Spatial associative classification: propositional vs structural approach

    Michelangelo Ceci;Annalisa Appice

  • Self-training for multi-target regression with tree ensembles

    Jurica Levati;Michelangelo Ceci;Dragi Kocev;Sao Deroski

  • Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data

    Roberto Corizzo;Michelangelo Ceci;Nathalie Japkowicz

Frequent Co-Authors

Donato Malerba
Donato Malerba University of Bari Aldo Moro
Sašo Džeroski
Sašo Džeroski Jožef Stefan Institute
Floriana Esposito
Floriana Esposito University of Bari Aldo Moro
Nathalie Japkowicz
Nathalie Japkowicz American University
Massimo Mecella
Massimo Mecella Sapienza University of Rome
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Toon Calders
Toon Calders University of Antwerp
Peter Christen
Peter Christen Australian National University
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Dino Pedreschi
Dino Pedreschi University of Pisa

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