Lumini A.; Nanni L.; Maguolo G., Deep learning for plankton and coral classification, «APPLIED COMPUTING AND INFORMATICS», 2023, 19, pp. 265 - 283 [Scientific article]Open Access
Nanni L.; Lumini A.; Maguolo G., Digital recognition of breast cancer using takhisisnet: An innovative multi-head convolutional neural network for classifying breast ultrasonic images, in: Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, Hershey, IGI Global, 2023, pp. 1286 - 1304 [Chapter or essay]Open Access
Nanni L.; Fantozzi C.; Loreggia A.; Lumini A., Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation, «SENSORS», 2023, 23, Article number: 4688 , pp. 1 - 19 [Scientific article]Open Access
Nanni L.; Lumini A.; Fantozzi C., Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation, «INFORMATION», 2023, 14, Article number: 657 , pp. 1 - 18 [Scientific article]Open Access
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., Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images, in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), New York, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 495 - 500 (atti di: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, ita, 2023) [Contribution to conference proceedings]Open Access
Brahnam S.; Nanni L.; McMurtrey S.; Lumini A.; Brattin R.; Slack M.; Barrier T., Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors, «APPLIED COMPUTING AND INFORMATICS», 2023, 1, pp. 1 - 22 [Scientific article]Open Access
Nanni L.; Cuza D.; Lumini A.; Loreggia A.; Brahman S., Polyp Segmentation with Deep Ensembles and Data Augmentation, in: Intelligent Systems Reference Library, Berlin, Springer Science and Business Media Deutschland GmbH, 2023, pp. 133 - 153 (INTELLIGENT SYSTEMS REFERENCE LIBRARY) [Chapter or essay]
Loris Nanni; Alessandra Lumini; Andrea Loreggia; Alberto Formaggio; Daniela Cuza, An Empirical Study on Ensemble of Segmentation Approaches, «SIGNALS», 2022, 3, pp. 341 - 358 [Scientific article]Open Access
Nanni, Loris; Lumini, Alessandra; Ghidoni, Stefano; Maguolo, Gianluca, Comparisons among different stochastic selections of activation layers for convolutional neural networks for health care, in: Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data, Amsterdam, Elsevier, 2022, pp. 151 - 164 [Chapter or essay]
Nanni, Loris; Cuza, Daniela; Lumini, Alessandra; Brahnam, Sheryl, Data augmentation for deep ensembles in polyp segmentation, in: Computational Intelligence Based Solutions for Vision Systems, Bristol, IOPScience, 2022, pp. 1 - 22 [Chapter or essay]
Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni,, Deep semantic segmentation in skin detection, in: Proceedings of European Symposium on Artificial Neural Networks (ESANN2022), 2022, pp. 315 - 320 (atti di: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, 5-7 ottobre 2022) [Contribution to conference proceedings]
Nanni L.; Paci M.; Brahnam S.; Lumini A., Feature transforms for image data augmentation, «NEURAL COMPUTING & APPLICATIONS», 2022, 34, pp. 22345 - 22356 [Scientific article]Open Access
Nanni L.; Manfe A.; Maguolo G.; Lumini A.; Brahnam S., High performing ensemble of convolutional neural networks for insect pest image detection, «ECOLOGICAL INFORMATICS», 2022, 67, Article number: 101515 , pp. 1 - 12 [Scientific article]Open Access
Nanni L.; Lumini A.; Brahnam S., Neural networks for anatomical therapeutic chemical (ATC) classification, «APPLIED COMPUTING AND INFORMATICS», 2022, preprint, pp. 1 - 12 [Scientific article]Open Access
Alessandra Lumini; Loris Nanni; Sheryl Brahnam, Pushing the Limits Against the No Free Lunch Theorem: Towards Building General-Purpose (GenP) Classification Systems, in: Advances in Selected Artificial Intelligence Areas: World Outstanding Women in Artificial Intelligence, Berlin, Springer, 2022, pp. 77 - 102 (LEARNING AND ANALYTICS IN INTELLIGENT SYSTEMS) [Chapter or essay]
