Results 1 to 10 of about 1,566,699 (318)
Entropy, 2021 The pervasive presence of artificial intelligence (AI) in our everyday life has nourished the pursuit of explainable AI. Since the dawn of AI, logic has been widely used to express, in a human-friendly fashion, the internal process that led an (intelligent) system to deliver a specific output.
Mirko Polato, Fabio Aiolli
openaire +3 more sources
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
American Journal of Human Genetics, 2011 Michael C Wu, Seunggeun Lee, Tianxi Cai
exaly +2 more sources
Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches
PLoS ONE, 2022 The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19.
Kernel Prieto
doaj +2 more sources
A green and economical weeds control agent suitable for drone [PDF]
E3S Web of Conferences, 2023 Weeds are one of the main factors affecting orchard yield, fruit quality and economic benefits. However, present methods have been lower effect and high labor intensity.
Liu Yao-Xi +9 more
doaj +1 more source
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs [PDF]
Computer Vision and Pattern Recognition, 2022 We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that using a few large convolutional kernels instead of a stack of small kernels could
Xiaohan Ding +5 more
semanticscholar +1 more source
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 Large-kernel convolutional neural networks (ConvNets) have recently received extensive research attention, but two unresolved and critical issues demand further investigation.
Xiaohan Ding +6 more
semanticscholar +1 more source
Scientific Reports, 2023 Alcohol is one of the most commonly used substances and frequently abused, yet little is known about the neural underpinnings driving variability in inhibitory control performance after ingesting alcohol. This study was a single-blind, placebo-controlled,
Julien Dubois +8 more
doaj +1 more source
Scientific Reports, 2023 Quantifying neural activity in natural conditions (i.e. conditions comparable to the standard clinical patient experience) during the administration of psychedelics may further our scientific understanding of the effects and mechanisms of action.
Adelaida Castillo +15 more
doaj +1 more source
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds [PDF]
Computer Vision and Pattern Recognition, 2021 We introduce Position Adaptive Convolution (PAConv), a generic convolution operation for 3D point cloud processing. The key of PAConv is to construct the convolution kernel by dynamically assembling basic weight matrices stored in Weight Bank, where the ...
Mutian Xu +3 more
semanticscholar +1 more source
Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures
Biostatistics, 2015 Jennifer F Bobb +2 more
exaly +2 more sources