Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Gianluca Maguolo"'
Publikováno v:
Applied Computing and Informatics, Vol 19, Iss 3/4, Pp 265-283 (2023)
In this paper, we present a study about an automated system for monitoring underwater ecosystems. The system here proposed is based on the fusion of different deep learning methods. We study how to create an ensemble based of different Convolutional
Externí odkaz:
https://doaj.org/article/246ca0235e1d4c4b82642d62c49fd786
Publikováno v:
Signals, Vol 2, Iss 4, Pp 820-833 (2021)
Semantic segmentation is a very popular topic in modern computer vision, and it has applications in many fields. Researchers have proposed a variety of architectures for semantic image segmentation. The most common ones exploit an encoder–decoder s
Externí odkaz:
https://doaj.org/article/1d5a56912f0b414f81a3267cf3a4afc4
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 4, Iss 1, Pp 47-56 (2020)
Classification of biological images plays a crucial role in many biological problems, e.g. recognition of cell phenotypes and maturation levels, localization of cell organelles and histopathological classification, and holds the potential to support
Externí odkaz:
https://doaj.org/article/5e72ce9b2e5a49339cf5147513b7de30
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100090- (2021)
In this paper we deal with the problem of accurately and automatically detecting the orientation of general images, for instance, of holiday snapshots. Detecting image orientation is an easy task for a human being but can be a long and tedious activi
Externí odkaz:
https://doaj.org/article/77457d7faf704328868ffd37ee3267ea
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5796 (2021)
Research in sound classification and recognition is rapidly advancing in the field of pattern recognition. One important area in this field is environmental sound recognition, whether it concerns the identification of endangered species in different
Externí odkaz:
https://doaj.org/article/8125aec4f05742549a51a6e741969a75
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 7, p 685 (2021)
Passive acoustic monitoring (PAM) is a noninvasive technique to supervise wildlife. Acoustic surveillance is preferable in some situations such as in the case of marine mammals, when the animals spend most of their time underwater, making it hard to
Externí odkaz:
https://doaj.org/article/cfe80cbd929c49028abf95d37e91e8cf
Publikováno v:
Sensors, Vol 21, Iss 5, p 1573 (2021)
Traditionally, classifiers are trained to predict patterns within a feature space. The image classification system presented here trains classifiers to predict patterns within a vector space by combining the dissimilarity spaces generated by a large
Externí odkaz:
https://doaj.org/article/ffbc5de86b244e8b81b6ecaf8310a614
Publikováno v:
Journal of Imaging, Vol 6, Iss 12, p 143 (2020)
In this work, we present an ensemble of descriptors for the classification of virus images acquired using transmission electron microscopy. We trained multiple support vector machines on different sets of features extracted from the data. We used bot
Externí odkaz:
https://doaj.org/article/09b2771b13534ab5adfa28c8202d406f
Autor:
Gianluca Maguolo, Loris Nanni
Publikováno v:
An International Journal on Information Fusion
In this paper, we compare and evaluate different testing protocols used for automatic COVID-19 diagnosis from X-Ray images in the recent literature. We show that similar results can be obtained using X-Ray images that do not contain most of the lungs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66cc5d07c4a0a461e5ec9acdb4adab7f
https://doi.org/10.1016/j.inffus.2021.04.008
https://doi.org/10.1016/j.inffus.2021.04.008
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8578 (2020)
The classifier system proposed in this work combines the dissimilarity spaces produced by a set of Siamese neural networks (SNNs) designed using four different backbones with different clustering techniques for training SVMs for automated animal audi
Externí odkaz:
https://doaj.org/article/99724accaf0c44bea0e2241f2a88d6f1