LUMINI, ALESSANDRA
LUMINI, ALESSANDRA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di IIa fascia
Combining biometric matchers by means of machine learning and statistical approaches
In corso di stampa L. Nanni; A. Lumini; M. Ferrara; R. Cappelli
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification
2024 F. Roberto G.; C. Pereira D.; S. Martins A.; A. A. Tosta T.; Soares C.; Lumini A.; B. Rozendo G.; A. Neves L.; Z. Nascimento M.
Percolation Images: Fractal Geometry Features for Brain Tumor Classification
2024 Lumini, Alessandra; Roberto, Guilherme Freire; Neves, Leandro Alves; Martins, Alessandro Santana; do Nascimento, Marcelo Zanchetta
Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy
2024 Rozendo G.B.; Roberto G.F.; do Nascimento M.Z.; Alves Neves L.; Lumini A.
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies
2023 Nanni L.; Loreggia A.; Lumini A.; Dorizza A.
CNN Ensembles for Nuclei Segmentation on Histological Images of OED
2023 Silva A.B.; Rozendo G.B.; Tosta T.A.A.; Martins A.S.; Loyola A.M.; Cardoso S.V.; Lumini A.; Neves L.A.; De Faria P.R.; Nascimento M.Z.D.
Coupling RetinaFace and Depth Information to Filter False Positives
2023 Nanni L.; Brahnam S.; Lumini A.; Loreggia A.
Deep ensembles and data augmentation for semantic segmentation
2023 Nanni L.; Lumini A.; Loreggia A.; Brahnam S.; Cuza D.
Deep learning for plankton and coral classification
2023 Lumini A.; Nanni L.; Maguolo G.
Digital recognition of breast cancer using takhisisnet: An innovative multi-head convolutional neural network for classifying breast ultrasonic images
2023 Nanni L.; Lumini A.; Maguolo G.
Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation
2023 Nanni L.; Fantozzi C.; Loreggia A.; Lumini A.
Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation
2023 Nanni L.; Lumini A.; Fantozzi C.
Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images
2023 Pereira D.C.; Longo L.C.; Tosta T.A.A.; Martins A.S.; Silva A.B.; Rozendo G.B.; Roberto G.F.; Lumini A.; Neves L.A.; Do Nascimento M.Z.
Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors
2023 Brahnam S.; Nanni L.; McMurtrey S.; Lumini A.; Brattin R.; Slack M.; Barrier T.
Polyp Segmentation with Deep Ensembles and Data Augmentation
2023 Nanni L.; Cuza D.; Lumini A.; Loreggia A.; Brahman S.
An Empirical Study on Ensemble of Segmentation Approaches
2022 Loris Nanni; Alessandra Lumini; Andrea Loreggia; Alberto Formaggio; Daniela Cuza
Comparisons among different stochastic selections of activation layers for convolutional neural networks for health care
2022 Nanni, Loris; Lumini, Alessandra; Ghidoni, Stefano; Maguolo, Gianluca
Data augmentation for deep ensembles in polyp segmentation
2022 Nanni, Loris; Cuza, Daniela; Lumini, Alessandra; Brahnam, Sheryl
Deep semantic segmentation in skin detection
2022 Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni,
Feature transforms for image data augmentation
2022 Nanni L.; Paci M.; Brahnam S.; Lumini A.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Combining biometric matchers by means of machine learning and statistical approaches | L. Nanni; A. Lumini; M. Ferrara; R. Cappelli | 9999-01-01 | NEUROCOMPUTING | - | 1.01 Articolo in rivista | - |
| Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification | F. Roberto G.; C. Pereira D.; S. Martins A.; A. A. Tosta T.; Soares C.; Lumini A.; B. Rozendo G.;... A. Neves L.; Z. Nascimento M. | 2024-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | 978-3-031-49018-7_12-1.pdf |
| Percolation Images: Fractal Geometry Features for Brain Tumor Classification | Lumini, Alessandra; Roberto, Guilherme Freire; Neves, Leandro Alves; Martins, Alessandro Santana;... do Nascimento, Marcelo Zanchetta | 2024-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | Fractals_Brain.pdf |
| Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy | Rozendo G.B.; Roberto G.F.; do Nascimento M.Z.; Alves Neves L.; Lumini A. | 2024-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | paper_weeds_final-2.pdf |
| A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies | Nanni L.; Loreggia A.; Lumini A.; Dorizza A. | 2023-01-01 | JOURNAL OF IMAGING | - | 1.01 Articolo in rivista | jimaging-09-00035.pdf |
| CNN Ensembles for Nuclei Segmentation on Histological Images of OED | Silva A.B.; Rozendo G.B.; Tosta T.A.A.; Martins A.S.; Loyola A.M.; Cardoso S.V.; Lumini A.; Neves... L.A.; De Faria P.R.; Nascimento M.Z.D. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | Artigo_CBMS_2023_Adriano.pdf |
| Coupling RetinaFace and Depth Information to Filter False Positives | Nanni L.; Brahnam S.; Lumini A.; Loreggia A. | 2023-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | applsci-13-02987.pdf |
| Deep ensembles and data augmentation for semantic segmentation | Nanni L.; Lumini A.; Loreggia A.; Brahnam S.; Cuza D. | 2023-01-01 | - | Elsevier | 2.01 Capitolo / saggio in libro | - |
| Deep learning for plankton and coral classification | Lumini A.; Nanni L.; Maguolo G. | 2023-01-01 | APPLIED COMPUTING AND INFORMATICS | - | 1.01 Articolo in rivista | 10-1016_j-aci-2019-11-004.pdf |
| Digital recognition of breast cancer using takhisisnet: An innovative multi-head convolutional neural network for classifying breast ultrasonic images | Nanni L.; Lumini A.; Maguolo G. | 2023-01-01 | - | IGI Global | 2.01 Capitolo / saggio in libro | PREPRINTDigital-Recognition-of-Breast-Cancer-Using-TakhisisNet_-An-Innovative-Multi-Head-Convolutional-Neural-Network-for-Classifying-Breast-Ultras-1.pdf |
| Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation | Nanni L.; Fantozzi C.; Loreggia A.; Lumini A. | 2023-01-01 | SENSORS | - | 1.01 Articolo in rivista | sensors-23-04688.pdf |
| Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation | Nanni L.; Lumini A.; Fantozzi C. | 2023-01-01 | INFORMATION | - | 1.01 Articolo in rivista | information-14-00657.pdf |
| Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images | Pereira D.C.; Longo L.C.; Tosta T.A.A.; Martins A.S.; Silva A.B.; Rozendo G.B.; Roberto G.F.; Lum...ini A.; Neves L.A.; Do Nascimento M.Z. | 2023-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | Handcrafted_features_vs_deep-learned_features_Hermite_Polynomial_Classification_of_Liver_Images.pdf |
| Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors | Brahnam S.; Nanni L.; McMurtrey S.; Lumini A.; Brattin R.; Slack M.; Barrier T. | 2023-01-01 | APPLIED COMPUTING AND INFORMATICS | - | 1.01 Articolo in rivista | 10-1016_j-aci-2019-05-003.pdf |
| Polyp Segmentation with Deep Ensembles and Data Augmentation | Nanni L.; Cuza D.; Lumini A.; Loreggia A.; Brahman S. | 2023-01-01 | - | Springer Science and Business Media Deutschland GmbH | 2.01 Capitolo / saggio in libro | - |
| An Empirical Study on Ensemble of Segmentation Approaches | Loris Nanni; Alessandra Lumini; Andrea Loreggia; Alberto Formaggio; Daniela Cuza | 2022-01-01 | SIGNALS | - | 1.01 Articolo in rivista | signals-03-00022-v2.pdf |
| Comparisons among different stochastic selections of activation layers for convolutional neural networks for health care | Nanni, Loris; Lumini, Alessandra; Ghidoni, Stefano; Maguolo, Gianluca | 2022-01-01 | - | Elsevier | 2.01 Capitolo / saggio in libro | - |
| Data augmentation for deep ensembles in polyp segmentation | Nanni, Loris; Cuza, Daniela; Lumini, Alessandra; Brahnam, Sheryl | 2022-01-01 | - | IOPScience | 2.01 Capitolo / saggio in libro | - |
| Deep semantic segmentation in skin detection | Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni, | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Feature transforms for image data augmentation | Nanni L.; Paci M.; Brahnam S.; Lumini A. | 2022-01-01 | NEURAL COMPUTING & APPLICATIONS | - | 1.01 Articolo in rivista | s00521-022-07645-z.pdf |