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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Evaluating deep learning-" (30 stories)

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Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
Lead StoryNatureworld
Mar 3

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAwSkFZRmpyOXdoaGRXcXppcnExUkRaaDlVRzJhTTM3Y19JcjBxSXFMbHJhMDJsZzJJdHd5N29NQWI4UlNYcGxISzE3WHBsaVIxeUs0YmZuZlg1UmdvbjdB?oc=5" target="_blank">Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Evaluating deep learning-"

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29 stories displayed
Comparative evaluation of deep learning models for three-class frailty assessment using gait metrics
Frontierstech

Comparative evaluation of deep learning models for three-class frailty assessment using gait metrics

<a href="https://news.google.com/rss/articles/CBMiiwFBVV95cUxPTFg0S25OQ1hzRlZ1eHJiM3ZnajNfSzBCYkQ2VGd3RVFlUW5WM2ZOdExFckVkZFk5YWNfM3NvTG9MR0d2X1JlVHNmWGpUT2U5WWEwT0paRVppZE9iOVJrYjIta2RFTVctd0NybWhwSmFkLTk4NFBGRk85LWpxX0h1Q0tmLUpQUjhER3c0?oc=5" target="_blank">Comparative evaluation of deep learning models for three-class frailty assessment using gait metrics</a>  <font color="#6f6f6f">Frontiers</font>

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Evaluating Deep Agents using LangSmith on AWS | Artificial Intelligence
Amazon Web Services (AWS)general

Evaluating Deep Agents using LangSmith on AWS | Artificial Intelligence

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxNdnpqWC1xNWNFR05MUGpUdFIxZWJMZE9pVDhCX1RCR2t2M1M0VGtGWDdSSDRjSEhTYjNvZ1N0aGJEdWhGSnZScDdhX1FfWF8yeFJib0I2dEd6enFkdjRYSVo0V3pvNzlUM0Q3NUhfQWVia05aWUxjZzU1VFIyTHJHQmFoU0RlUXZVd3MyTnNTSDJ1RFU5cF80?oc=5" target="_blank">Evaluating Deep Agents using LangSmith on AWS | Artificial Intelligence</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

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Decision Curve Analysis for Evaluating Machine Learning Models for Next-Day Transfer Out of ICU
medRxivgeneral

Decision Curve Analysis for Evaluating Machine Learning Models for Next-Day Transfer Out of ICU

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE9pNXFSUmhJajJPZHEtLTYwc2pBRjRnd3lqX0otVDlHYTMwckZhVFZaME1BMTVJelozbHE2MUlMbzJ1YjZGTktxN1J0QU8wLVFIU0pEMzFXbTBoalZIWmp4bGZxSkR0TjhnTzM5c3BYSjNZY0VZVDcyU0UtbWU?oc=5" target="_blank">Decision Curve Analysis for Evaluating Machine Learning Models for Next-Day Transfer Out of ICU</a>  <font color="#6f6f6f">medRxiv</font>

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Evaluating Machine Learning Weather Models for Data Assimilation: Fundamental Limitations in Tangent Linear and Adjoint Properties
AGU Publicationsworld

Evaluating Machine Learning Weather Models for Data Assimilation: Fundamental Limitations in Tangent Linear and Adjoint Properties

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5rQmcyelI4Y1RuREpja1ltUmItNUZoTXUzLTZIalJuNDJoM3ZGUHhvZXZyYlVUby1XVVVseU9wblBWQkhXYnZhckdZSUVVTHg0dW53MFRKQ3hiczg0X2w0YnJ5SjdUUm1ibENSdnluZ1ZHMV9VaXlvQQ?oc=5" target="_blank">Evaluating Machine Learning Weather Models for Data Assimilation: Fundamental Limitations in Tangent Linear and Adjoint Properties</a>  <font color="#6f6f6f">AGU Publications</font>

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On the Utility and Limitations of the MSTAR Dataset for Deep Learning-Based SAR Target Recognition
The Association for the Advancement of Artificial Intelligencegeneral

On the Utility and Limitations of the MSTAR Dataset for Deep Learning-Based SAR Target Recognition

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFBhUFZlMmxrZmo0RjlsWll3Snp2RzhzZnZsX19YOEZrVDdmR1ozSGp0M1hWVnZ1TkpoWFp1Vm04QlltNXpkdUE4Vzd5allQZzFXd2pDbWQycjVjSTBtNW1ZNUlqdERwbGxG?oc=5" target="_blank">On the Utility and Limitations of the MSTAR Dataset for Deep Learning-Based SAR Target Recognition</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Clinical Application of Deep Learning for Spine MRI Interpretation: A Multicenter Evaluation of Artificial-Intelligence-Assisted versus Manual Reading on Diagnostic Agreement with the Reference Standard
Science Partner Journalsgeneral

Clinical Application of Deep Learning for Spine MRI Interpretation: A Multicenter Evaluation of Artificial-Intelligence-Assisted versus Manual Reading on Diagnostic Agreement with the Reference Standard

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5LRy1sTFdqRXM5d013Zm1BR3J0N05MaDlfbDVWcVZQZGlabWRKN1prZVdLeUdKT2FHTDZPbW13SkdPR09ick5adE5sZWhYellOTTV1RllSV25ZMjdTUTFV?oc=5" target="_blank">Clinical Application of Deep Learning for Spine MRI Interpretation: A Multicenter Evaluation of Artificial-Intelligence-Assisted versus Manual Reading on Diagnostic Agreement with the Reference Standard</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Developing and evaluating automated deep learning and human-in-the-loop vision–language systems for microplastic characterization
Naturegeneral

Developing and evaluating automated deep learning and human-in-the-loop vision–language systems for microplastic characterization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ITHZQcVBCNWp6d0xBSjJMdm5WVkNPaFpqc0ZpWjRvLS1JZU9Gc0w2R0dxNGVwZ0h4bHZCNFZJRWhhMDEydVN0M3FOb1VUeGpwWVpTR0NXekZINUNhWDVB?oc=5" target="_blank">Developing and evaluating automated deep learning and human-in-the-loop vision–language systems for microplastic characterization</a>  <font color="#6f6f6f">Nature</font>

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Using deep learning to better forecast tropical cyclone tracks and intensities
AIP.ORGgeneral

Using deep learning to better forecast tropical cyclone tracks and intensities

<a href="https://news.google.com/rss/articles/CBMirAFBVV95cUxNR2NFczEwXzFJOEVqQkdYeEtmcDBQTTROSnN5ODlJY1NkR1h5UURxYU1ob0dqekpWZnBIZVJxY0t6T2ZIVVBWNE1wc25EdHpQeHFPc1dKYmEtR3BoWHRGN1hYWTdMZDVnVWpENzV6TnZnTHJNeG9BaVpxWDdsYzQxVjhBSkE2Q0xIS29QSlZzazV0ZVpZakpLYmlNWXV5V3lUZER3bUl0RFluS2FX?oc=5" target="_blank">Using deep learning to better forecast tropical cyclone tracks and intensities</a>  <font color="#6f6f6f">AIP.ORG</font>

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Evaluating deep learning-based image segmentation for radiotherapy planning in pelvic and abdominal cancers
Frontiersgeneral

Evaluating deep learning-based image segmentation for radiotherapy planning in pelvic and abdominal cancers

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxOUnVfaExocXdGLXhBZm1wdUFoR1lOZkJQSWhtNG9La3hBM2NITEVfcFdwc1FVaF9FNF85OGdhWFhIR3ZlNkdBaTJpMHBscFVucm1PTnZXLWJCdnhYQU5vT0VJQVA4aU9MVUxxUTB6Z0p5dzc4d0pjMjQ3dnh5MF9haVNWUHpJeFVNNVBoRnRB?oc=5" target="_blank">Evaluating deep learning-based image segmentation for radiotherapy planning in pelvic and abdominal cancers</a>  <font color="#6f6f6f">Frontiers</font>

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Evaluating the Functional Realism of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles
AGU Publicationstech

Evaluating the Functional Realism of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE00UVFHaFVydlIzcVU0aENhbldGT1RSR1c3TV9QNzhiS3JNeFpXdV9hckd5Um9jeFNReHlPa3FSN3JrVm9rZ04wN1EtWkMzUFlNMkczWTFRV0lFLVB1V0lSb3A2bzB2ZTFpUmhpd0h5S2V1RW43RnRabA?oc=5" target="_blank">Evaluating the Functional Realism of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles</a>  <font color="#6f6f6f">AGU Publications</font>

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Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete
Naturegeneral

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ENWo2QTltZmNOci14VmVISVFiR1JwSkVuZmZQMG40VmlwaDBqUmFobnFaV2V2ZHdPNGU2Z2pNSVJMRUxNakdkSGxLQmVJQW44Y0o4aDBPY0RyTFVrTEhR?oc=5" target="_blank">Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete</a>  <font color="#6f6f6f">Nature</font>

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Assessing the robustness and clinical evaluation of a deep−learning segmentation model for head and neck cancer
Frontiersgeneral

Assessing the robustness and clinical evaluation of a deep−learning segmentation model for head and neck cancer

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxOYVFkZUprWUJ4dlVaNms0NHI0SDF3ZFctQ1o4ZGE1Qi1YWWlyX180Vzc2b1ZtcnhjMEt6SGMwUFdvYnNab09mOUFIVjd4TDh6TGltZTJ6OWU1RHpwZkgzTS13RnJ1QXl4d1lWQm9YZ2UwWnk4UGxJM0R6UXMySDkxRV9vejNHWVZuY0I4akZn?oc=5" target="_blank">Assessing the robustness and clinical evaluation of a deep−learning segmentation model for head and neck cancer</a>  <font color="#6f6f6f">Frontiers</font>

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OBGYN
Wiley & Sonsgeneral

OBGYN

<a href="https://news.google.com/rss/articles/CBMicEFVX3lxTFBQMUxGSDlQS1FtT0hoTHMtNExmWndWSXNldHFJSGhna3RwX294QUZIMVlnRFM0UTROREoyRml0TFFlVVZldVF6S1VpN3lxQVNkallROURGR2dmYzRxRUVJVmpET3pVeGhhUUYxZWRtaGs?oc=5" target="_blank">OBGYN</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Statistically grounded evaluation of demographic bias in deep facial representations using FairFace and UTKFace
Naturetech

Statistically grounded evaluation of demographic bias in deep facial representations using FairFace and UTKFace

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4aEtITXVzajFUU2hDVjFNSUtJSXVOS1pMUlBpU2Z6OEt0VlBtRVgtSjhwTVB2d19PV3FDazJxNUh5aDdGcTIzOWVMMlQxZmc1allPTnZEOEZaZmFLOWhn?oc=5" target="_blank">Statistically grounded evaluation of demographic bias in deep facial representations using FairFace and UTKFace</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis
Naturegeneral

Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50NWtMY0syOE9EVzRyclhha19yZTFZUHljUnhaMEpPbHhrcGtRTWk2NUdxWERZdGtRTEYxcmlNOC05bzRlU2I3aGQ3S09kU2dWZnF0MlpwbUUyYWw3dk0w?oc=5" target="_blank">Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis</a>  <font color="#6f6f6f">Nature</font>

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Evaluating machine learning efficiency and accuracy for real time flash flood mapping
Naturegeneral

Evaluating machine learning efficiency and accuracy for real time flash flood mapping

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ianB4VjJFb0k1aG5OS1FyV3dPdDNGMVRFdVRBd1VkRjBoWW5NWlQ3ZWx6QTFNVGF6X2lRTzcxbWlkX1pQcW1qQ0pLYVBRZkdmSjhaTmg5dG1wWWlIT2Yw?oc=5" target="_blank">Evaluating machine learning efficiency and accuracy for real time flash flood mapping</a>  <font color="#6f6f6f">Nature</font>

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Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science
Naturescience

Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56WURmbnpWbDl0SXZBVUhFYzhiNkhmWFBDVzFpN1h2QVl0TDRWbEdoeXVSRGFZRl9Qam9RTVNLWEdJbzlIOF9GYmI5dVd5R3JhUmNDWEd5VkJIMVFYRENV?oc=5" target="_blank">Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science</a>  <font color="#6f6f6f">Nature</font>

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Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model
Naturegeneral

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9tMFZCckJDc2JORF9ZYlVvbElxb25IalE2cjIyVlZLUlNIMG1ucUhkT2VKWDBuT0J1cTBBUFpGeHNpZTZad0x4RWlSbVh3VTVXclRJZG1pUDZiRHVfR2xv?oc=5" target="_blank">Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model</a>  <font color="#6f6f6f">Nature</font>

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Assessing the potential of deep learning for protein–ligand docking
Naturegeneral

Assessing the potential of deep learning for protein–ligand docking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNRDhQMWdHY1M3LUpTazh4Ylh3VVN5WVFhOEtXV3pVOEE2VUZOdjdMVlV4N2tYVVZuSGxzMmx6aEQ4dlNaRDN3YXpjS05GQ0diYmtQb3diTE1WbU91MVRv?oc=5" target="_blank">Assessing the potential of deep learning for protein–ligand docking</a>  <font color="#6f6f6f">Nature</font>

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Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging
Naturegeneral

Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5lTFA3dFljd0Z1WXdhUmVuZUl3Umo4T3BvbnNYTGFUbVlVWHpvaWo0S1N3dzdPMFVCNFB6TzgydW1JUjJ6S2Q3VGNScncxWFUxTTRNdlBXWlBETHNEZnVv?oc=5" target="_blank">Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging</a>  <font color="#6f6f6f">Nature</font>

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Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps
Naturegeneral

Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50VUtJTWQ5YzVtbC1SNjg0VEdhV0kxeVB6M3o0X1FoOFNicVluN1VaT3R4bExDSHFyN1ZMNl9paF9wOVRkYWkzeGN2Mk9FUkNWcUpKT1R5RzgtblhZVEE0?oc=5" target="_blank">Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps</a>  <font color="#6f6f6f">Nature</font>

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Evaluate AI agents systematically with Agent-EvalKit | Amazon Web Services
Amazon Web Services (AWS)tech

Evaluate AI agents systematically with Agent-EvalKit | Amazon Web Services

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxQeldfMDFMWnNrN3oxZFJsMjVWSEtWaGtWdzRDR2pZVGxaWDlsb0otVEtTQ0dzR2R6blZjUENETm9WZGQ1R0xpUU03MGlyS0swTjlIWU5PRV9RcXd4UDlGSnZBVUw4NFR4N2hqNjFOdzVyQVhRaXdZdWVpMXhVU2hsUlAwWU1RZWpyQzgwZ2JjaHc5TGE4RzE2c1Z2RVFWWVRz?oc=5" target="_blank">Evaluate AI agents systematically with Agent-EvalKit | Amazon Web Services</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

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Evaluating machine learning models for estimating evapotranspiration in Colombia’s Cauca River Valley
Naturegeneral

Evaluating machine learning models for estimating evapotranspiration in Colombia’s Cauca River Valley

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81MTNGOXlnT0Y4dUNPd29uNVNRR1RHbmNINHJQZ1VzTHU5VmJaZm9RXzFNQ0x5NnB4OF9mZ1lDNF8yZHp2U0tjaFBfdlN0U2xtblpid2ZtZm5GYjBadjQ4?oc=5" target="_blank">Evaluating machine learning models for estimating evapotranspiration in Colombia’s Cauca River Valley</a>  <font color="#6f6f6f">Nature</font>

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Deep learning-enabled accurate assessment of gait impairments in Parkinson’s disease using smartphone videos
Naturetech

Deep learning-enabled accurate assessment of gait impairments in Parkinson’s disease using smartphone videos

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9KdjhjUm5UTlVsZEZjcGp2OWtnRUF3SHN6ZENTcnJlSEV6SWdpYjB0NThMZU5CV2ptQ0JsVExjUS00R0RwUlR2NEdjS3VlTDVfV29PX2t3ekI2NnluNjFn?oc=5" target="_blank">Deep learning-enabled accurate assessment of gait impairments in Parkinson’s disease using smartphone videos</a>  <font color="#6f6f6f">Nature</font>

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Retinal Image-Based Deep Learning Algorithm for Mild Cognitive Impairment Detection in Patients with Coronary Artery Disease: Diagnostic Performance and Clinical Implications
Vera Healthtech

Retinal Image-Based Deep Learning Algorithm for Mild Cognitive Impairment Detection in Patients with Coronary Artery Disease: Diagnostic Performance and Clinical Implications

<a href="https://news.google.com/rss/articles/CBMiT0FVX3lxTE1YeDZKdzRoNkVMNlA1Z3BkcWlSSVllMk4zOElHQ05wSmRKeVktbEZRMWRkNzZzUFcwcVhFWFVad251OXEyZml5RVNPNGtmMm8?oc=5" target="_blank">Retinal Image-Based Deep Learning Algorithm for Mild Cognitive Impairment Detection in Patients with Coronary Artery Disease: Diagnostic Performance and Clinical Implications</a>  <font color="#6f6f6f">Vera Health</font>

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Evaluating deep learning models for classifying OCT images with limited data and noisy labels
Naturegeneral

Evaluating deep learning models for classifying OCT images with limited data and noisy labels

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aUGljZHA4YlJRN21FZ3IzSmhiQVB1SW1lRXRZZllpSlR5STQ0YkdZOFQyYlRpV0tJN2E0d2ptZHpEclBuSzB1T1dnUzhrMjZPbjdEUG1vN0FKWG9WdnpB?oc=5" target="_blank">Evaluating deep learning models for classifying OCT images with limited data and noisy labels</a>  <font color="#6f6f6f">Nature</font>

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Evaluating machine learning approaches for multiple attack classification with improved computational efficiency in IoT networks
Naturegeneral

Evaluating machine learning approaches for multiple attack classification with improved computational efficiency in IoT networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUOUVKTEJQN0M2V3MzeGV0eXNEbVhRdDJEazlGSmdLNnNGcFk0S2t3WjIzaGFFbm5nUDBVNHVteFk0VjVUemM0Rk5PTmlUSjc4aE11U0c5YUlkZkFLNlRF?oc=5" target="_blank">Evaluating machine learning approaches for multiple attack classification with improved computational efficiency in IoT networks</a>  <font color="#6f6f6f">Nature</font>

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Meta simulation approach for evaluating machine learning method selection in data limited settings
Naturepolitics

Meta simulation approach for evaluating machine learning method selection in data limited settings

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SQThqTkNzODlXQlpGb0NzYWM3NzBjdHk5RmVPZy0zcnFFQW12VUh6Z0R0a1ljWTJmdHpNZUc2WkI3RE1aeENkQ3RjWXJDX2VJNGw2Ql9jUGNBZHp1Vjdr?oc=5" target="_blank">Meta simulation approach for evaluating machine learning method selection in data limited settings</a>  <font color="#6f6f6f">Nature</font>

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Evaluating machine learning models for clothing size prediction using anthropometric measurements from 3D body scanning | Scientific Reports
Naturegeneral

Evaluating machine learning models for clothing size prediction using anthropometric measurements from 3D body scanning | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBPUlF4VDd1NXN3XzN2UkpSQzgwQkNmRjE5VkhmbHd5dEtLWTU3Q005Z3pOR251aDNBaDQ5QXBEbWFrRS1UZy1Pc21TQVN1bnlXMVNWTEZheTRoYzVBdlE4?oc=5" target="_blank">Evaluating machine learning models for clothing size prediction using anthropometric measurements from 3D body scanning | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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