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Computer Science

D-Index
45
Citations
9301
World Ranking
7145
National Ranking
176

Overview

Donato Malerba is affiliated with the University of Bari Aldo Moro in Italy and has published extensively in the field of Computer Science, with a particular focus on Artificial Intelligence and related subfields. Their research encompasses several areas including Computer Networks and Communications, Signal Processing, Media Technology, and Ecology.

Their main research topics include:

  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Data Stream Mining Techniques
  • Adversarial Robustness in Machine Learning
  • Remote-Sensing Image Classification
  • Internet Traffic Analysis and Secure E-voting

Malerba's recent scholarly papers demonstrate a concentration on network intrusion detection and deep learning methodologies. Among their published works are:

  • Autoencoder-based deep metric learning for network intrusion detection, 2021, published in Information Sciences
  • Multi-Channel Deep Feature Learning for Intrusion Detection, 2020, published in IEEE Access
  • GAN augmentation to deal with imbalance in imaging-based intrusion detection, 2021, published in Future Generation Computer Systems
  • Nearest cluster-based intrusion detection through convolutional neural networks, 2021, published in Knowledge-Based Systems
  • A Multi-View Deep Learning Approach for Predictive Business Process Monitoring, 2021, published in IEEE Transactions on Services Computing

The scientist has collaborated frequently with several co-authors, most notably Annalisa Appice, Giuseppina Andresini, Vincenzo Pasquadibisceglie, Corrado Appice Annalisa Malerba Donato Loglisci, and Giovanna Castellano. These collaborations have contributed to a substantial body of work across related domains.

Publication venues where Malerba's work appears recurrently include:

  • Journal of Intelligent Information Systems
  • IEEE Transactions on Services Computing
  • IEEE Access
  • Expert Systems with Applications
  • Engineering Applications of Artificial Intelligence

In addition to journal articles, the scientist has contributed to book publications, including work published by Springer Science+Business Media. One such publication is the ECML PKDD 2020 Workshops volume released in 2020.

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • A comparative analysis of methods for pruning decision trees

    F. Esposito;D. Malerba;G. Semeraro;J. Kay

  • Transforming paper documents into XML format with WISDOM

    Oronzo Altamura;Floriana Esposito;Donato Malerba

  • A logic framework for the incremental inductive synthesis of Datalog theories

    G. Semeraro;F. Esposito;D. Malerba;N. Fanizzi

  • Inducing Multi-Level Association Rules from Multiple Relations

    Francesca A. Lisi;Donato Malerba

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

    Michelangelo Ceci;Donato Malerba

  • Autoencoder-based deep metric learning for network intrusion detection

    Giuseppina Andresini;Annalisa Appice;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

  • GAN augmentation to deal with imbalance in imaging-based intrusion detection

    Giuseppina Andresini;Annalisa Appice;Luca De Rose;Donato Malerba

  • MULTISTRATEGY LEARNING FOR DOCUMENT RECOGNITION

    Floriana Esposito;Donato Malerba;Giovanni Semeraro

  • Multi-Channel Deep Feature Learning for Intrusion Detection

    Giuseppina Andresini;Annalisa Appice;Nicola Di Mauro;Corrado Loglisci

  • 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

  • Using Convolutional Neural Networks for Predictive Process Analytics

    Vincenzo Pasquadibisceglie;Annalisa Appice;Giovanna Castellano;Donato Malerba

  • Nearest cluster-based intrusion detection through convolutional neural networks

    Giuseppina Andresini;Annalisa Appice;Donato Malerba

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

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

  • An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization

    F. Esposito;D. Malerba;G. Semeraro;E. Annese

  • Mining spatial association rules in census data

    Donato Malerba;Floriana Esposito;Francesca A. Lisi;Annalisa Appice

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

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

  • A Co-Training Strategy for Multiple View Clustering in Process Mining

    Annalisa Appice;Donato Malerba

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

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

  • Comparing Dissimilarity Measures for Symbolic Data Analysis

    Donato Malerba;Floriana Esposito;Vincenzo Gioviale;Valentina Tamma

Frequent Co-Authors

Michelangelo Ceci
Michelangelo Ceci University of Bari Aldo Moro
Floriana Esposito
Floriana Esposito University of Bari Aldo Moro
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Michalis Vazirgiannis
Michalis Vazirgiannis École Polytechnique
Sašo Džeroski
Sašo Džeroski Jožef Stefan Institute
Thomas Hofmann
Thomas Hofmann ETH Zurich
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Ernesto Damiani
Ernesto Damiani Khalifa University

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