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Alessandra Lumini

Alessandra Lumini

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Computer Science
Italy
2023

D-Index & Metrics

Computer Science

D-Index
49
Citations
9705
World Ranking
5888
National Ranking
135

Research.com Recognitions

  • 2023 - Research.com Computer Science in Italy Leader Award

Overview

Alessandra Lumini is affiliated with the University of Bologna in Italy and focuses primarily on research within the field of Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Radiology, Nuclear Medicine and Imaging, and Molecular Biology.

The scientist's research addresses multiple topics related to artificial intelligence and its applications in medical and biological imaging. Key topics of their work include:

  • AI in cancer detection
  • Advanced Neural Network Applications
  • Digital Imaging for Blood Diseases
  • Image Retrieval and Classification Techniques
  • COVID-19 diagnosis using AI
  • Neural Networks and Applications
  • Video Surveillance and Tracking Methods

Alessandra Lumini has published a number of recent papers with a focus on deep learning, neural networks, and image classification, including:

  • "High performing ensemble of convolutional neural networks for insect pest image detection," 2021, Ecological Informatics
  • "Comparison of Different Image Data Augmentation Approaches," 2021, Journal of Imaging
  • "Deep learning for plankton and coral classification," 2023, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • "Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images," 2020, Expert Systems with Applications
  • "Fair comparison of skin detection approaches on publicly available datasets," 2020, Expert Systems with Applications

The scientist frequently publishes in a variety of venues, including:

  • arXiv (Cornell University)
  • Preprints.org
  • Expert Systems with Applications
  • Applied Sciences
  • Sensors

Collaborations have been an important aspect of their work, with frequent coauthors comprising:

  • Loris Nanni
  • Sheryl Brahnam
  • Gianluca Maguolo
  • Andrea Loreggia
  • Leandro Alves Neves

The research by Alessandra Lumini integrates advanced neural network methods with practical applications in biology and medicine, particularly focusing on improving imaging techniques for diagnostics and classification.

Best Publications

  • Local binary patterns variants as texture descriptors for medical image analysis

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • Fingerprint classification by directional image partitioning

    R. Cappelli;A. Lumini;D. Maio;D. Maltoni

  • Fingerprint Image Reconstruction from Standard Templates

    R. Cappelli;A. Lumini;D. Maio;D. Maltoni

  • Survey on LBP based texture descriptors for image classification

    Loris Nanni;Alessandra Lumini;Sheryl Brahnam

  • An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring

    Loris Nanni;Alessandra Lumini

  • An improved BioHashing for human authentication

    Alessandra Lumini;Loris Nanni

  • Local binary patterns for a hybrid fingerprint matcher

    Loris Nanni;Alessandra Lumini

  • An ensemble of K-local hyperplanes for predicting protein--protein interactions

    Loris Nanni;Alessandra Lumini

  • Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization.

    Loris Nanni;Alessandra Lumini

  • Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information

    Loris Nanni;Alessandra Lumini;Dinesh Gupta;Aarti Garg

  • Deep learning and transfer learning features for plankton classification

    Alessandra Lumini;Loris Nanni

  • Local Binary Patterns: New Variants and Applications

    Sheryl Brahnam;Lakhmi C. Jain;Loris Nanni;Alessandra Lumini

  • Overview of the combination of biometric matchers

    Alessandra Lumini;Loris Nanni

  • A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • Artificial intelligence techniques for embryo and oocyte classification.

    Claudio Manna;Loris Nanni;Alessandra Lumini;Sebastiana Pappalardo

  • Continuous versus exclusive classification for fingerprint retrieval

    Alessandra Lumini;Dario Maio;Davide Maltoni

  • Wavelet images and Chou’s pseudo amino acid composition for protein classification

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

  • Combining visual and acoustic features for music genre classification

    Loris Nanni;Yandre M.G. Costa;Alessandra Lumini;Moo Young Kim

  • An evaluation of direct attacks using fake fingers generated from ISO templates

    Javier Galbally;Raffaele Cappelli;Alessandra Lumini;Guillermo Gonzalez-de-Rivera

  • Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition.

    Loris Nanni;Sheryl Brahnam;Alessandra Lumini

Frequent Co-Authors

Loris Nanni
Loris Nanni University of Padua
Sheryl Brahnam
Sheryl Brahnam Missouri State University
Dario Maio
Dario Maio University of Bologna
Raffaele Cappelli
Raffaele Cappelli University of Bologna
Davide Maltoni
Davide Maltoni University of Bologna
Matteo Golfarelli
Matteo Golfarelli University of Bologna
Stefano Rizzi
Stefano Rizzi University of Bologna
Javier Galbally
Javier Galbally Autonomous University of Madrid
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Patrizio Campisi
Patrizio Campisi Roma Tre University

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