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Showing 1618-1638 of 4,831 articles

The Benefits of Power Regularization in Cooperative Reinforcement Learning

Cooperative Multi-Agent Reinforcement Learning (MARL) algorithms, trained only to optimize task re...

Jun 2024 http://arxiv.org/abs/2406.11240v1

Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination

The COVID-19 pandemic exposed significant weaknesses in the healthcare information system. The ove...

Jun 2024 http://arxiv.org/abs/2407.03190v2

Countrywide natural experiment reveals impact of built environment on physical activity

While physical activity is critical to human health, most people do not meet recommended guideline...

Jun 2024 http://arxiv.org/abs/2406.04557v1

Diversity in Evolutionary Dynamics

We consider the dynamics imposed by natural selection on the populations of two competing, sexuall...

Jun 2024 http://arxiv.org/abs/2406.03938v2

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

Cognitive Diagnosis~(CD), which leverages students and exercise data to predict students' proficie...

Jun 2024 http://arxiv.org/abs/2406.03064v1

Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy.

Evolution-based neural architecture search methods have shown promising results, but they require hi...

Jun 2024 37155646

OLB-AC: toward optimizing ligand bioactivities through deep graph learning and activity cliffs.

MOTIVATION: Deep graph learning (DGL) has been widely employed in the realm of ligand-based virtual ...

Jun 2024 38889277

Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study.

This study aimed to evaluate the readability, reliability, and quality of responses by 4 selected ar...

May 2024 39259094

Genotype sampling for deep-learning assisted experimental mapping of a combinatorially complete fitness landscape.

MOTIVATION: Experimental characterization of fitness landscapes, which map genotypes onto fitness, i...

May 2024 38745436

Genotypic-phenotypic landscape computation based on first principle and deep learning.

The relationship between genotype and fitness is fundamental to evolution, but quantitatively mappin...

Mar 2024 38701420

[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

OBJECTIVE: To develop an artificial intelligence vaginal secretion analysis system based on deep lea...

Mar 2024 38645857

Development of deep-learning models for real-time anaerobic threshold and peak VO2 prediction during cardiopulmonary exercise testing.

AIMS: Exercise intolerance is a clinical feature of patients with heart failure (HF). Cardiopulmonar...

Mar 2024 38078901

Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.

Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) to...

Feb 2024 38375968

Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants.

Biotic and abiotic stresses significantly affect plant fitness, resulting in a serious loss in food ...

Jan 2024 38287813

An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

To establish a model based on clinical and delta-radiomic features within ultrasound images using X...

Jan 2024 39051517

[Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning].

The present study aims to establish comprehensive evaluation models of physical fitness of the elder...

Dec 2023 38151355

A multi-scale expression and regulation knowledge base for Escherichia coli.

Transcriptomic data is accumulating rapidly; thus, scalable methods for extracting knowledge from th...

Oct 2023 37713610

Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks.

MOTIVATION: Reliable label-free methods are needed for detecting and profiling apoptotic events in t...

Oct 2023 37773981

Primary Care

Browse Categories

The Benefits of Power Regularization in Cooperative Reinforcement Learning

Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination

Countrywide natural experiment reveals impact of built environment on physical activity

Diversity in Evolutionary Dynamics

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy.

OLB-AC: toward optimizing ligand bioactivities through deep graph learning and activity cliffs.

Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study.

Genotype sampling for deep-learning assisted experimental mapping of a combinatorially complete fitness landscape.

Genotypic-phenotypic landscape computation based on first principle and deep learning.

[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

Development of deep-learning models for real-time anaerobic threshold and peak VO2 prediction during cardiopulmonary exercise testing.

Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.

Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants.

An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

[Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning].

A multi-scale expression and regulation knowledge base for Escherichia coli.

Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks.

Generative models for protein sequence modeling: recent advances and future directions.

Total Force Fitness Standardization: Leveraging Policy and Metrics to Inform and Accelerate Implementation.

ActivePPI: quantifying protein-protein interaction network activity with Markov random fields.

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