Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Arkadiusz Kwasigroch"'
Publikováno v:
IEEE Access, Vol 8, Pp 9061-9071 (2020)
Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert kn
Externí odkaz:
https://doaj.org/article/02c9bd4d3d3845ccbed207a4c64c8874
Autor:
Sylwia Majchrowska, Agnieszka Mikołajczyk, Maria Ferlin, Zuzanna Klawikowska, Marta A. Plantykow, Arkadiusz Kwasigroch, Karol Majek
Publikováno v:
Waste Management. 138:274-284
Waste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, both for economic and ecological reasons, and the industry demands high efficiency. Current studies towards automatic
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 11:51-67
The paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing un
Autor:
Michał Grochowski, Agnieszka Sabisz, Maria Anna Ferlin, Małgorzata Grzywińska, Edyta Szurowska, Agnieszka Mikołajczyk, Arkadiusz Kwasigroch
Publikováno v:
Electronics
Volume 10
Issue 18
Electronics, Vol 10, Iss 2208, p 2208 (2021)
Volume 10
Issue 18
Electronics, Vol 10, Iss 2208, p 2208 (2021)
Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challen
Publikováno v:
Electronics
Volume 9
Issue 11
Electronics, Vol 9, Iss 1930, p 1930 (2020)
Volume 9
Issue 11
Electronics, Vol 9, Iss 1930, p 1930 (2020)
To successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associ
Publikováno v:
MMAR
The paper presents the results of the research on neural architecture search (NAS) algorithm. We utilized the hill climbing algorithm to search for well-performing structures of deep convolutional neural network. Moreover, we used the function preser
Publikováno v:
MMAR
Malignant melanomas are the most deadly type of skin cancers however detected early enough give a high chances for successful treatment. The last years saw the dynamic growth of interest of automatic computer-aided skin cancer diagnosis. Every month
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319606989
KKA
KKA
Malignant melanomas are the most deadly type of skin cancers. Early diagnosis is a key for successful treatment and survival. The paper presents the system for supporting the process of diagnosis of skin lesions in order to detect a malignant melanom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1648cb27298510cde9cb74479f861998
https://doi.org/10.1007/978-3-319-60699-6_79
https://doi.org/10.1007/978-3-319-60699-6_79
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319606989
KKA
KKA
The paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aad3b476dbe4fb5e87b28c2475154742
https://doi.org/10.1007/978-3-319-60699-6_81
https://doi.org/10.1007/978-3-319-60699-6_81
Publikováno v:
MMAR
The paper proposes an approach to designing the neuro-genetic self-learning decision support system. The system is based on neural networks being adaptively learned by evolutionary mechanism, forming an evolved neural network. Presented learning algo