Dadi, M.; Franco, A.; Lumini, A., Rootex 2.0: Multi-head deep learning and graph-based analysis for automated barley root phenotyping, «EXPERT SYSTEMS WITH APPLICATIONS», 2026, 299, Article number: 129930, pp. 1 - 19 [articolo]
Botazzo Rozendo, G.; Dadi, M.; Franco, A.; Lumini, A., Cattle weight estimation using 2D side-view images and estimated depth-based 3D modeling, «SMART AGRICULTURAL TECHNOLOGY», 2025, 12, Article number: 101099, pp. 1 - 13 [articolo]Open Access
Lumini, Alessandra; Botazzo Rozendo, Guilherme; Dadi, Maichol; Franco, Annalisa, Comparison of CNN and Transformer Architectures for Robust Cattle Segmentation in Complex Farm Environments, in: Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM, SciTePress, 2025, pp. 91 - 102 (atti di: 14th International Conference on Pattern Recognition Applications and Methods, Porto, Portugal, February 23-25, 2025) [Contributo in Atti di convegno]
Nanni, L.; Lumini, A.; Barcellona, L.; Ghidoni, S., Convolutional neural networks and vision transformers for Plankton Classification, «ECOLOGICAL INFORMATICS», 2025, 90, Article number: 103272, pp. 1 - 19 [articolo]
Miguel, P. L.; Neves, L. A.; Lumini, A.; Medalha, G. C.; Roberto, G. F.; Rozendo, G. B.; Cansian, A. M.; Tosta, T. A. A.; Do Nascimento, M. Z., Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models, «ENTROPY», 2025, 27, pp. 1 - 23 [articolo]
Nanni, L.; Lumini, A.; Brahnam, S., Neural networks for anatomical therapeutic chemical (ATC) classification, «APPLIED COMPUTING AND INFORMATICS», 2025, 21, pp. 349 - 360 [articolo]Open Access
Dadi, Maichol; Lumini, Alessandra; Franco, Annalisa, RootEx: An automated method for barley root system extraction and evaluation, «COMPUTERS AND ELECTRONICS IN AGRICULTURE», 2025, 230, Article number: 110030, pp. 1 - 14 [articolo]Open Access
Dadi, M.; Franco, A.; Sangiorgi, G.; Salvi, S.; Lumini, A., RootTracer: An intuitive solution for root image annotation, «SMART AGRICULTURAL TECHNOLOGY», 2025, 10, Article number: 100705, pp. 1 - 9 [articolo]Open Access
Roberto, G. F.; Neves, L. A.; Lumini, A.; Martins, A. S.; Nascimento, M. Z. D., An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images, «PATTERN ANALYSIS AND APPLICATIONS», 2024, 27, Article number: 8, pp. 1 - 18 [articolo]
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., Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers, «APPLIED SCIENCES», 2024, 14, Article number: 8125, pp. 1 - 20 [articolo]
Dadi, M.; Lumini, A.; Franco, A.; Sangiorgi, G., Deep learning for Root System Extraction from Barley Plants, in: 2024 14th International Conference on Pattern Recognition Systems, ICPRS 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 14th International Conference on Pattern Recognition Systems, ICPRS 2024, gbr, 2024) [Contributo in Atti di convegno]
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., Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification, in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2023., Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14469, pp. 163 - 177 (atti di: 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023, prt, 2023) [Contributo in Atti di convegno]Open Access
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., Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images, «PATTERN RECOGNITION LETTERS», 2024, 189, pp. 248 - 255 [articolo]
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., Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images, in: Proceedings of the 26th International Conference on Enterprise Information Systems, scitepress, 2024, 1, pp. 456 - 464 (atti di: 26th International Conference on Enterprise Information Systems, Angers, France, 27-29 April, 2024) [Contributo in Atti di convegno]
Lumini, Alessandra; Roberto, Guilherme Freire; Neves, Leandro Alves; Martins, Alessandro Santana; do Nascimento, Marcelo Zanchetta, Percolation Images: Fractal Geometry Features for Brain Tumor Classification, in: The Fractal Geometry of the Brain, Switzerland, Springer, 2024, pp. 557 - 570 (ADVANCES IN NEUROBIOLOGY) [capitolo di libro]Open Access
