Results 261 to 270 of about 3,174,638 (320)

A Method for Explainable Epileptic Seizure Detection Through Wavelet Transforms Obtained by Electroencephalogram-Based Audio Recordings. [PDF]

Sensors (Basel)
Tavolato P, Schölnast H, Eigner O, Santone A, Cesarelli M, Martinelli F, Mercaldo F.   +6 more
europepmc   +1 more source

The regulatory mechanisms of CAM/CML gene family in governing mycorrhizal fungi in Cremastra appendiculata (Orchidaceae). [PDF]

BMC Plant Biol
Wang Q, Zhao X, Yuan X, Liu ZJ, Zhang Y.
europepmc   +1 more source

Barriers to communication about complementary and alternative medicine between oncology patients and healthcare professionals in Croatia: a cross-sectional study. [PDF]

Korean J Med Educ
Racz A, Vasiljev V, Rukavina T, Armano A, Perak A, Trncevic M, Hošnjak AM, Armano L.   +7 more
europepmc   +1 more source

A Comparison of Uptake of Tea Stains and Effectiveness of Denture Cleansers on CAD/CAM Versus Conventional Acrylic Denture Base.

J Pharm Bioallied Sci
Darwish M, Khan AS, Alanazi LM, Alenazi MM, Alassaf HS, Alharbi NM, Almutairi MM.   +6 more
europepmc   +1 more source

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C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image

Computer Vision and Pattern Recognition, 2022
Recently, many excellent weakly supervised semantic segmentation (WSSS) works are proposed based on class activation mapping (CAM). However, there are few works that consider the characteristics of medical images.
Zhang Chen, Zhiqiang Tian, Jihua Zhu, Ce Li, S. Du   +4 more
semanticscholar   +1 more source

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2020
In response to recent criticism of gradient-based visualization techniques, we propose a new methodology to generate visual explanations for deep Convolutional Neural Networks (CNN) - based models.
S. Desai, H. G. Ramaswamy
semanticscholar   +1 more source

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

British Machine Vision Conference, 2020
To have a better understanding and usage of Convolution Neural Networks (CNNs), the visualization and interpretation of CNNs has attracted increasing attention in recent years.
Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li   +5 more
semanticscholar   +1 more source

Peekaboo Cam

Proceedings of the 2019 on Designing Interactive Systems Conference, 2019
The home is a rich context for design research to study things and the Everyday. However, home is also a place of utmost privacy for most people. To better understand this context through an observational artifact without impacting privacy, we designed the Peekaboo cam that enables inhabitants to control their data release actively or passively.
Cheng, Yu-Ting, Funk, Mathias, Tsai, Wenn-Chieh, Chen, Lin-Lin   +3 more
openaire   +2 more sources