NANNI, LORIS
NANNI, LORIS
Dipartimento di Ingegneria dell'Informazione - DEI
Addressing Class Imbalance in Rice Disease Diagnosis with Contrastive Dissimilarity
2026 Pignelli, Fabio; Costa, Yandre M. G.; Nanni, Loris; Teixeira, Lucas O.
Ensemble Deep Learning Models on Raw DNA Sequences for Viral Genome Identification in Human Samples
2026 De Nat, Marco; Boscolo, Simone; Gallo, Sonia Pilar; Nanni, Loris; Fusaro, Daniel
Mapping the unmapped: deep learning ensembles and novel loss functions for scalable road segmentation from aerial imagery
2026 Giannini, Lorenzo; Nanni, Loris; Loreggia, Andrea
Advancing Precision: A Comprehensive Review of MRI Segmentation Datasets from BraTS Challenges (2012–2025)
2025 Bonato, Beatrice; Nanni, Loris; Bertoldo, Alessandra
Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification
2025 Nanni, Loris; Gobbi, Matteo De; Junior, Roger De Almeida Matos; Fusaro, Daniel
Cancer Identification in Bowel Tissue Images Using CNNs and Transformers
2025 Alvarez Da Silva Junior, Sergio; Pacheco Alvarez Da Silva, Maysa; Zanoni Felipe, Gustavo; Nanni, Loris; Vanessa Colombo Martins Perles, Juliana; Costa, Yandre
Contrastive Dissimilarity for Writer Identification: a proof of concept
2025 Pignelli, Fabio; Teixeira, Lucas; Bertolini, Diego; Cavalcanti, George D. C.; Costa, Yandre; Nanni, Loris
Convolutional neural networks and vision transformers for Plankton Classification
2025 Nanni, Loris; Lumini, Alessandra; Barcellona, Leonardo; Ghidoni, Stefano
Deep Ensembles and Multisensor Data for Global LCZ Mapping: Insights from So2Sat LCZ42
2025 Nanni, Loris; Brahnam, Sheryl
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera Data
2025 Nanni, Loris; Brahnam, Sheryl; Ruta, Matteo; Fabris, Daniele; Boscolo Bacheto, Martina; Milanello, Tommaso
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images
2025 Felipe, Gustavo Zanoni; Nanni, Loris; Garcia, Isadora Goulart; Zanoni, Jacqueline Nelisis; Costa, Yandre Maldonado E Gomes Da
Insect identification by combining different neural networks
2025 Nanni, Loris; Maritan, Nicola; Fusaro, Daniel; Brahnam, Sheryl; Meneguolo, Francesco Boscolo; Sgaravatto, Maria
Matrix-based vector representations in neural networks for classifying molecular biology data
2025 Nanni, Loris; Brahnam, Sheryl; Fusaro, Daniel
SAM-Based Input Augmentations and Ensemble Strategies for Image Segmentation
2025 Carisi, Lorenzo; Chiereghin, Francesco; Fantozzi, Carlo; Nanni, Loris
Weakly Supervised Segmentation Improves the Estimate of the Choroid Plexus Volume: Application to Multiple Sclerosis
2025 Visani, V.; Nanni, L.; Loreggia, A.; Calabrese, M.; Pizzini, F. B.; Veronese, M.; Castellaro, M.
AI-Powered Biodiversity Assessment: Species Classification via DNA Barcoding and Deep Learning
2024 Nanni, Loris; Cuza, Daniela; Brahnam, Sheryl
An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images
2024 Nanni, Loris; Brahnam, Sheryl; Loreggia, Andrea
Nuclei Segmentation in Hepatocytes Using YOLO and SAM
2024 Da Silva, Sergio A.; Berton, Leandro E. F.; Carvalho, Mateus F. T.; Bernardo, Carla C. O.; Perles, Juliana V. C. M.; Zanoni, Jacqueline N.; Nanni, Loris; Sevilha, André L. R. G.; Felipe, Gustavo Z.; Flores, Franklin C.; Costa, Yandre M. G.
Sample Size for Training and Testing: Segment Anything Models and Supervised Approaches
2024 Cuza, Daniela; Fantozzi, Carlo; Nanni, Loris; Fusaro, Daniel; Felipe, Gustavo Zanoni; Brahnam, Sheryl
Vector to matrix representation for CNN networks for classifying astronomical data
2024 Nanni, Loris; Brahnam, Sheryl