LUMINI, ALESSANDRA
LUMINI, ALESSANDRA
DISI - 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
RootEx: An automated method for barley root system extraction and evaluation
2025 Dadi, Maichol; Lumini, Alessandra; Franco, Annalisa
RootTracer: An intuitive solution for root image annotation
2025 Dadi, M.; Franco, A.; Sangiorgi, G.; Salvi, S.; Lumini, A.
An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images
2024 Roberto, G. F.; Neves, L. A.; Lumini, A.; Martins, A. S.; Nascimento, M. Z. D.
Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers
2024 Rozendo, G. B.; Garcia, B. L. D. O.; Borgue, V. A. T.; Lumini, A.; Tosta, T. A. A.; Nascimento, M. Z. D.; Neves, L. A.
Deep learning for Root System Extraction from Barley Plants
2024 Dadi, M.; Lumini, A.; Franco, A.; Sangiorgi, G.
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.
Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images
2024 Roberto, G. F.; Pereira, D. C.; Martins, A. S.; Tosta, T. A. A.; Soares, C.; Lumini, A.; Rozendo, G. B.; Neves, L. A.; Nascimento, M. Z.
Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images
2024 Miguel, P. L.; Lumini, A.; Medalha, G. C.; Roberto, G. F.; Rozendo, G. B.; Cansian, A. M.; Tosta, T. A. A.; do Nascimento, M. Z.; Neves, L. A.
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.
X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence
2024 Rozendo, G. B.; Lumini, A.; Roberto, G. F.; Tosta, T. A. A.; do Nascimento, M. Z.; Neves, L. 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.