Results 1 to 10 of about 441,482 (159)
Structure of associative heterarchical memory
Российский технологический журнал, 2022 Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin +3 more
doaj +1 more source
Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
BMC Bioinformatics, 2022 Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
doaj +1 more source
Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Компьютерная оптика, 2023 Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva +10 more
doaj +1 more source
Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
Discrete Dynamics in Nature and Society, 2022 This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time ...
Xiang-Bo Wang +4 more
doaj +1 more source
Trustworthy artificial intelligence
Asian Journal of Philosophy, 2023 AbstractThis paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways.
Mona Simion, Christoph Kelp
openaire +1 more source
Artificial intelligence hallucinations
Critical Care, 2023 SCOPUS: le.j ; info:eu-repo/semantics ...
Salvagno, Michele +2 more
openaire +3 more sources
EAGLE: Explicit Alternative Genome Likelihood Evaluator
BMC Medical Genomics, 2018 Background Reliable detection of genome variations, especially insertions and deletions (indels), from single sample DNA sequencing data remains challenging, partially due to the inherent uncertainty involved in aligning sequencing reads to the reference
Tony Kuo +3 more
doaj +1 more source
Detecting depression on video logs using audiovisual features
Humanities & Social Sciences Communications, 2023 Detecting depression on social media has received significant attention. Developing a depression detection model helps screen depressed individuals who may need proper treatment.
Kyungeun Min +5 more
doaj +1 more source
BioData Mining, 2021 Background The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue
Haripriya Harikumar +4 more
doaj +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics.
Shunyi Zhao +6 more
doaj +1 more source