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Genoveffa Tortora

Genoveffa Tortora

D-Index & Metrics

Computer Science

D-Index
34
Citations
6072
World Ranking
12048
National Ranking
411

Overview

Genoveffa Tortora is affiliated with the University of Salerno in Italy and has a research focus that spans computer science and medicine. Their scholarly work is concentrated primarily in artificial intelligence and its applications to healthcare and biology, as well as in computer vision and information systems. The scientist's publications frequently explore advanced computational methods in medical diagnostics and data management.

Their research covers several main fields and subfields of study, including:

  • Computer Science
  • Medicine
  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Oncology
  • Information Systems

The central topics Genoveffa Tortora addresses relate to AI applications in cancer detection and healthcare, data quality, and natural language processing. Specifically, their main research topics are:

  • AI in cancer detection
  • Cutaneous Melanoma Detection and Management
  • Topic Modeling
  • Artificial Intelligence in Healthcare and Education
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Data Quality and Management

Genoveffa Tortora frequently collaborates with several coauthors, many of whom have contributed extensively alongside them. Frequent collaborators include:

  • Luigi Di Biasi
  • Alessia Auriemma Citarella
  • Fabiola De Marco
  • Rita Francese
  • Michele Risi

Their research outputs have been published in a variety of academic venues, with multiple papers appearing in specialized journals related to computing and biomedical informatics. Major publication venues include:

  • SSRN Electronic Journal
  • Multimedia Tools and Applications
  • Research Square
  • BMC Bioinformatics
  • IEEE Access

Some notable papers published by Genoveffa Tortora are:

  • "Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot" (2023, Expert Systems with Applications)
  • "Rouge Metric Evaluation for Text Summarization Techniques" (2022, SSRN Electronic Journal)
  • "A decision-support framework for data anonymization with application to machine learning processes" (2022, Information Sciences)
  • "Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem" (2023, BMC Bioinformatics)
  • "Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques" (2022, PLoS ONE)

Best Publications

  • Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?

    Christian Esposito;Alfredo De Santis;Genny Tortora;Henry Chang

  • Development and evaluation of a virtual campus on Second Life: The case of SecondDMI

    Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

  • Recovering traceability links in software artifact management systems using information retrieval methods

    Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora

  • Class point: an approach for the size estimation of object-oriented systems

    G. Costagliola;F. Ferrucci;G. Tortora;G. Vitiello

  • Enhancing an artefact management system with traceability recovery features

    A. De Lucia;F. Fasano;R. Oliveto;G. Tortora

  • Automatic generation of visual programming environments

    G. Costagliola;G. Tortora;S. Orefice;A. de Lucia

  • Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot

    Unknown

  • Wiimote and Kinect: gestural user interfaces add a natural third dimension to HCI

    Rita Francese;Ignazio Passero;Genoveffa Tortora

  • A parsing methodology for the implementation of visual systems

    G. Costagliola;A. De Lucia;S. Orefice;G. Tortora

  • Assessing IR-based traceability recovery tools through controlled experiments

    Andrea De Lucia;Rocco Oliveto;Genoveffa Tortora

  • ADAMS Re-Trace: a traceability recovery tool

    A. De Lucia;F. Fasano;R. Oliveto;G. Tortora

  • Assessing the Effectiveness of Sequence Diagrams in the Comprehension of Functional Requirements: Results from a Family of Five Experiments

    Silvia Abrahao;C. Gravino;E. Insfran;G. Scanniello

  • Developing legacy system migration methods and tools for technology transfer

    Andrea De Lucia;Rita Francese;Giuseppe Scanniello;Genoveffa Tortora

  • An experimental comparison of ER and UML class diagrams for data modelling

    Andrea De Lucia;Carmine Gravino;Rocco Oliveto;Genoveffa Tortora

  • Advances in Software Engineering and Knowledge Engineering

    Vincenzo Ambriola;Genoveffa Tortora;S. K. Chang

  • Adams re-trace: traceability link recovery via latent semantic indexing

    Andrea De Lucia;Rocco Oliveto;Genoveffa Tortora

  • Developing legacy system migration methods and tools for technology transfer

    Unknown

  • NABS: Novel Approaches for Biometric Systems

    M De Marsico;M Nappi;D Riccio;G Tortora

  • Evaluating legacy system migration technologies through empirical studies

    Massimo Colosimo;Andrea De Lucia;Giuseppe Scanniello;Genoveffa Tortora

  • FIRST: Fractal Indexing and Retrieval SysTem for Image Databases

    Michele Nappi;Giuseppe Polese;Genoveffa Tortora

  • SLMeeting: supporting collaborative work in Second Life

    Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

  • IR-Based Traceability Recovery Processes: An Empirical Comparison of "One-Shot" and Incremental Processes

    A. De Lucia;R. Oliveto;G. Tortora

  • Automating visual language generation

    C. Crimi;A. Guercio;G. Pacini;G. Tortora

  • Using Project-Based-Learning in a mobile application development course-An experience report

    Rita Francese;Carmine Gravino;Michele Risi;Giuseppe Scanniello

Frequent Co-Authors

Andrea De Lucia
Andrea De Lucia University of Salerno
Filomena Ferrucci
Filomena Ferrucci University of Salerno
Rocco Oliveto
Rocco Oliveto University of Molise
Michele Nappi
Michele Nappi University of Salerno
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh
Marcela Genero
Marcela Genero University of Castilla-La Mancha
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Francisco Herrera
Francisco Herrera University of Granada
Ramesh Jain
Ramesh Jain University of California, Irvine
Francesco Di Salle
Francesco Di Salle University of Salerno

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