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Quality classification of wood boards is an essential task in the sawmill industry, which is still usually performed by human operators in small to median companies in developing countries. Machine learning algorithms have been successfully employed
Externí odkaz:
http://arxiv.org/abs/2310.13490
Autor:
Gomes, Nícolas Barbosa, Yoshida, Arissa, Roder, Mateus, de Oliveira, Guilherme Camargo, Papa, João Paulo
Identifying Amyotrophic Lateral Sclerosis (ALS) in its early stages is essential for establishing the beginning of treatment, enriching the outlook, and enhancing the overall well-being of those affected individuals. However, early diagnosis and dete
Externí odkaz:
http://arxiv.org/abs/2307.12159
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate sol
Externí odkaz:
http://arxiv.org/abs/2301.13671
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, and text categorization.
Externí odkaz:
http://arxiv.org/abs/2212.09447
Autor:
Roder, Mateus, Almeida, Jurandy, de Rosa, Gustavo H., Passos, Leandro A., Rossi, André L. D., Papa, João P.
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniques,
Externí odkaz:
http://arxiv.org/abs/2211.17045
Autor:
Julia Dagnæs-Hansen, MD, Gitte H. Kristensen, MD, PhD, Hein V. Stroomberg, PhD, Malene Rohrsted, MD, Søren S. Sørensen, MD, PhD, Andreas Røder, MD, PhD
Publikováno v:
Transplantation Direct, Vol 10, Iss 6, p e1626 (2024)
Background. Successful renal transplantation (RTx) relies on immunosuppression and an optimal surgical course with few surgical complications. Studies reporting the postoperative complications after RTx are heterogeneous and often lack systematic rep
Externí odkaz:
https://doaj.org/article/7abc2419638f4bba9770f6ba0f480e2f
Additive feature explanations using Shapley values have become popular for providing transparency into the relative importance of each feature to an individual prediction of a machine learning model. While Shapley values provide a unique additive fea
Externí odkaz:
http://arxiv.org/abs/2112.10592
Autor:
Ye, Jiarong, Yeh, Yin-Ting, Xue, Yuan, Wang, Ziyang, Zhang, Na, Liu, He, Zhang, Kunyan, Ricker, RyeAnne, Yu, Zhuohang, Roder, Allison, Lopez, Nestor Perea, Organtini, Lindsey, Greene, Wallace, Hafenstein, Susan, Lu, Huaguang, Ghedin, Elodie, Terrones, Mauricio, Huang, Shengxi, Huang, Sharon Xiaolei
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America (2022)
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device coupled with label-free Raman Spectroscopy holds the promise o
Externí odkaz:
http://arxiv.org/abs/2206.02788
In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniq
Externí odkaz:
http://arxiv.org/abs/2203.02740
Machine Learning has attracted considerable attention throughout the past decade due to its potential to solve far-reaching tasks, such as image classification, object recognition, anomaly detection, and data forecasting. A standard approach to tackl
Externí odkaz:
http://arxiv.org/abs/2202.03854