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Lerina Aversano
PeerJ Author
1,040 Points

Contributions by role

Author 370
Editor 670

Contributions by subject area

Data Science
Databases
Emerging Technologies
Human-Computer Interaction
Artificial Intelligence
Data Mining and Machine Learning
Security and Privacy
Bioinformatics
Algorithms and Analysis of Algorithms
Computer Education
Natural Language and Speech
Autonomous Systems
Internet of Things
Optimization Theory and Computation
Neural Networks

Lerina Aversano

PeerJ Author

Summary

Lerina Aversano is an associate professor at the Department of Engineering of the University of Sannio Benevento (Italy). She received the Ph.D. in Computer Engineering in July 2003 at the same University and was assistant professor from 2005. She also was a research leader at RCOST – Research Centre On Software Technology – of the University of Sannio from 2005. Her research interests include software quality, software maintenance and evolution, program comprehension, refactoring, evolution, technical debt, data integration.

Algorithms & Analysis of Algorithms Artificial Intelligence Data Mining & Machine Learning Data Science Databases

Past or current institution affiliations

University of Sannio

Work details

Associate Professor

University of Sannio
Department of Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 5
  • Edited 5
January 28, 2025
Process mining applications in healthcare: a systematic literature review
Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro
https://doi.org/10.7717/peerj-cs.2613
October 21, 2024
A systematic review on artificial intelligence approaches for smart health devices
Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano
https://doi.org/10.7717/peerj-cs.2232
June 6, 2023
A systematic review on artificial intelligence techniques for detecting thyroid diseases
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori
https://doi.org/10.7717/peerj-cs.1394
May 11, 2021
Continuous authentication using deep neural networks ensemble on keystroke dynamics
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
https://doi.org/10.7717/peerj-cs.525
March 2, 2020
An approach for semantic integration of heterogeneous data sources
Giuseppe Fusco, Lerina Aversano
https://doi.org/10.7717/peerj-cs.254

Academic Editor on

March 23, 2023
Regression applied to legal judgments to predict compensation for immaterial damage
Thiago Raulino Dal Pont, Isabela Cristina Sabo, Jomi Fred Hübner, Aires José Rover
https://doi.org/10.7717/peerj-cs.1225
September 9, 2021
Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm
Ayman E. Khedr, Amira M. Idrees, Rashed Salem
https://doi.org/10.7717/peerj-cs.669
June 22, 2021
ScaleUp: middleware for intelligent environments
Daniyal Alghazzawi, Ghadah Aldabbagh, Abdullah Saad AL-Malaise AL-Ghamdi
https://doi.org/10.7717/peerj-cs.545
September 10, 2020
Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data
Kamal A. ElDahshan, AbdAllah A. AlHabshy, Gaber E. Abutaleb
https://doi.org/10.7717/peerj-cs.297
July 27, 2020
Deep learning based Sequential model for malware analysis using Windows exe API Calls
Ferhat Ozgur Catak, Ahmet Faruk Yazı, Ogerta Elezaj, Javed Ahmed
https://doi.org/10.7717/peerj-cs.285