@article {11573/1487860,
	title = {{Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming}},
	volume = {{False}},
	number = {{False}},
	year = {2020},
	pages = {279-284},
	keywords = {datasets augmentation}, {Generative Adversarial Network},
	doi = {{10.1109/CCTA41146.2020.9206297}},
	author = {Fawakherji, M. and Potena, C. and Prevedello, I. and Pretto, A. and Bloisi, D. D. and Nardi, D.}
}
@article {11573/1487858,
	title = {{Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images}},
	journal = {APPLIED SCIENCES},
	volume = {{10}},
	number = {{22}},
	year = {2020},
	pages = {1-14},
	keywords = {medical image segmentation, Oral carcinoma}, {Deep learning},
	doi = {{10.3390/app10228285}},
	author = {Martino, F. and Bloisi, D. D. and Pennisi, A. and Fawakherji, M. and Ilardi, G. and Russo, D. and Nardi, D. and Staibano, S. and Merolla, F.}
}
@article {11573/1487858,
	title = {{Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images}},
	journal = {APPLIED SCIENCES},
	volume = {{10}},
	number = {{22}},
	year = {2020},
	pages = {1-14},
	keywords = {medical image segmentation, Oral carcinoma}, {Deep learning},
	doi = {{10.3390/app10228285}},
	author = {Martino, F. and Bloisi, D. D. and Pennisi, A. and Fawakherji, M. and Ilardi, G. and Russo, D. and Nardi, D. and Staibano, S. and Merolla, F.}
}
@article {11573/1323341,
	title = {{Deep Convolutional Pixel-wise Labeling for Skin Lesion Image Segmentation}},
	volume = {{False}},
	number = {{False}},
	year = {2018},
	pages = {1-6},
	keywords = {Dermoscopy images, Melanoma detection, Skin Lesion Segmentation}, {Deep Learning Image Processing},
	doi = {{10.1109/MeMeA.2018.8438669}},
	author = {Youssef, A. and Bloisi, D. D. and Muscio, M. and Pennisi, A. and Nardi, D. and Facchiano, A.}
}
@article {PenPre14,
	title = {Distributed Sensor Network for Multi-robot Surveillance},
	journal = {Procedia Computer Science},
	volume = {32},
	year = {2014},
	note = {The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014)},
	pages = {1095 - 1100},
	issn = {1877-0509},
	doi = {http://dx.doi.org/10.1016/j.procs.2014.05.538},
	url = {http://www.sciencedirect.com/science/article/pii/S1877050914007388},
	author = {A. Pennisi and F. Previtali and F. Ficarola and Domenico Bloisi and L. Iocchi and A. Vitaletti}
}
