Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kuźba, Michał"'
Autor:
Gizinski, Stanisław, Kuzba, Michał, Pielinski, Bartosz, Sienkiewicz, Julian, Łaniewski, Stanisław, Biecek, Przemysław
The growing number of AI applications, also for high-stake decisions, increases the interest in Explainable and Interpretable Machine Learning (XI-ML). This trend can be seen both in the increasing number of regulations and strategies for developing
Externí odkaz:
http://arxiv.org/abs/2108.06216
In this paper, we approach the problem of detecting trypophobia triggers using Convolutional neural networks. We show that standard architectures such as VGG or ResNet are capable of recognizing trypophobia patterns. We also conduct experiments to an
Externí odkaz:
http://arxiv.org/abs/2002.08490
Autor:
Kuźba, Michał, Biecek, Przemysław
Publikováno v:
Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2020
Recently we see a rising number of methods in the field of eXplainable Artificial Intelligence. To our surprise, their development is driven by model developers rather than a study of needs for human end users. The analysis of needs, if done, takes t
Externí odkaz:
http://arxiv.org/abs/2002.05674
In this paper, we approach the problem of detecting trypophobia triggers using Convolutional neural networks. We show that standard architectures such as VGG or ResNet are capable of recognizing trypophobia patterns. We also conduct experiments to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465fcf02e6dce094fec6012a1d936479