AIMC Topic: Learning

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VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.

Journal of chemical information and modeling Nov 22, 2023
Molecular generation is crucial for advancing drug discovery, materials science, and chemical exploration. It expedites the search for new drug candidates, facilitates tailored material creation, and enhances our understanding of molecular diversity....
Monte Carlo Method Drug Discovery Drug Development Artificial Intelligence Learning
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Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

Journal of autism and developmental disorders Nov 16, 2023
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a spe...
Adaptation, Psychological Multilingualism Universities Humans Artificial Intelligence Adult Mental Health Male Language Female Students Learning Young Adult
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N-of-one differential gene expression without control samples using a deep generative model.

Genome biology Nov 16, 2023
Differential analysis of bulk RNA-seq data often suffers from lack of good controls. Here, we present a generative model that replaces controls, trained solely on healthy tissues. The unsupervised model learns a low-dimensional representation and can...
RNA-Seq Gene Expression Machine Learning Learning
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Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 16, 2023
Recently, convolutional neural network (CNN)-based classification models have shown good performance for motor imagery (MI) brain-computer interfaces (BCI) using electroencephalogram (EEG) in end-to-end learning. Although a few explainable artificial...
Algorithms Imagination Neural Networks, Computer Electroencephalography Humans Brain-Computer Interfaces Learning Artificial Intelligence
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Generating meaning: active inference and the scope and limits of passive AI.

Trends in cognitive sciences Nov 15, 2023
Prominent accounts of sentient behavior depict brains as generative models of organismic interaction with the world, evincing intriguing similarities with current advances in generative artificial intelligence (AI). However, because they contend with...
Humans Artificial Intelligence Brain Learning
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On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers.

Scientific reports Nov 15, 2023
An ensemble of classifiers combines several single classifiers to deliver a final prediction or classification decision. An increasingly provoking question is whether such an ensemble can outperform the single best classifier. If so, what form of ens...
Autism Spectrum Disorder Learning Humans Machine Learning Child
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MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2023
Heterogeneous graph neural networks (HGNNs) were proposed for representation learning on structural data with multiple types of nodes and edges. To deal with the performance degradation issue when HGNNs become deep, researchers combine metapaths into...
Learning Semantics Neural Networks, Computer
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Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education Nov 13, 2023
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...
Artificial Intelligence Language Humans Pharmacology, Clinical Problem Solving Learning Mental Recall
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CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures.

Nature communications Nov 13, 2023
The field of bioimage analysis is currently impacted by a profound transformation, driven by the advancements in imaging technologies and artificial intelligence. The emergence of multi-modal AI systems could allow extracting and utilizing knowledge ...
Artificial Intelligence Drug Discovery Databases, Factual Knowledge Learning
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Deep learning-based 3D brain multimodal medical image registration.

Medical & biological engineering & computing Nov 8, 2023
Medical image registration is a critical preprocessing step in medical image analysis. While traditional medical image registration techniques have matured, their registration speed and accuracy still fall short of clinical requirements. In this pape...
Databases, Factual Brain Image Processing, Computer-Assisted Benchmarking Learning Deep Learning
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