Scarselli F - Search Results

1

Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI.

Rossi A, Hosseinzadeh M, Bianchini M, Scarselli F, Huisman H. Rossi A, et al. Among authors: scarselli f. IEEE Trans Med Imaging. 2021 Mar;40(3):986-995. doi: 10.1109/TMI.2020.3043641. Epub 2021 Mar 2. IEEE Trans Med Imaging. 2021. PMID: 33296302

2

On the complexity of neural network classifiers: a comparison between shallow and deep architectures.

Bianchini M, Scarselli F. Bianchini M, et al. Among authors: scarselli f. IEEE Trans Neural Netw Learn Syst. 2014 Aug;25(8):1553-65. doi: 10.1109/TNNLS.2013.2293637. IEEE Trans Neural Netw Learn Syst. 2014. PMID: 25050951

3

On Inductive-Transductive Learning With Graph Neural Networks.

Ciano G, Rossi A, Bianchini M, Scarselli F. Ciano G, et al. Among authors: scarselli f. IEEE Trans Pattern Anal Mach Intell. 2022 Feb;44(2):758-769. doi: 10.1109/TPAMI.2021.3054304. Epub 2022 Jan 7. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 33493112

4

Recursive processing of cyclic graphs.

Bianchini M, Gori M, Sarti L, Scarselli F. Bianchini M, et al. Among authors: scarselli f. IEEE Trans Neural Netw. 2006 Jan;17(1):10-8. doi: 10.1109/TNN.2005.860873. IEEE Trans Neural Netw. 2006. PMID: 16526472

5

Processing directed acyclic graphs with recursive neural networks.

Bianchini M, Gori M, Scarselli F. Bianchini M, et al. Among authors: scarselli f. IEEE Trans Neural Netw. 2001;12(6):1464-70. doi: 10.1109/72.963781. IEEE Trans Neural Netw. 2001. PMID: 18249974

6

Modular Multi-Source Prediction of Drug Side-Effects With DruGNN.

Bongini P, Scarselli F, Bianchini M, Dimitri GM, Pancino N, Lio P. Bongini P, et al. Among authors: scarselli f. IEEE/ACM Trans Comput Biol Bioinform. 2023 Mar-Apr;20(2):1211-1220. doi: 10.1109/TCBB.2022.3175362. Epub 2023 Apr 3. IEEE/ACM Trans Comput Biol Bioinform. 2023. PMID: 35576419

7

Image generation by GAN and style transfer for agar plate image segmentation.

Andreini P, Bonechi S, Bianchini M, Mecocci A, Scarselli F. Andreini P, et al. Among authors: scarselli f. Comput Methods Programs Biomed. 2020 Feb;184:105268. doi: 10.1016/j.cmpb.2019.105268. Epub 2019 Dec 17. Comput Methods Programs Biomed. 2020. PMID: 31891902

8

A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.

Tognetti L, Bonechi S, Andreini P, Bianchini M, Scarselli F, Cevenini G, Moscarella E, Farnetani F, Longo C, Lallas A, Carrera C, Puig S, Tiodorovic D, Perrot JL, Pellacani G, Argenziano G, Cinotti E, Cataldo G, Balistreri A, Mecocci A, Gori M, Rubegni P, Cartocci A. Tognetti L, et al. Among authors: scarselli f. J Dermatol Sci. 2021 Feb;101(2):115-122. doi: 10.1016/j.jdermsci.2020.11.009. Epub 2020 Dec 2. J Dermatol Sci. 2021. PMID: 33358096

9

Recursive neural networks for processing graphs with labelled edges: theory and applications.

Bianchini M, Maggini M, Sarti L, Scarselli F. Bianchini M, et al. Among authors: scarselli f. Neural Netw. 2005 Oct;18(8):1040-50. doi: 10.1016/j.neunet.2005.07.003. Epub 2005 Sep 21. Neural Netw. 2005. PMID: 16181770

10

SortNet: learning to rank by a neural preference function.

Rigutini L, Papini T, Maggini M, Scarselli F. Rigutini L, et al. Among authors: scarselli f. IEEE Trans Neural Netw. 2011 Sep;22(9):1368-80. doi: 10.1109/TNN.2011.2160875. Epub 2011 Jul 18. IEEE Trans Neural Netw. 2011. PMID: 21775258

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