JUST PUBLISHED: An Explainable Two-Stage Machine Learning Model for Predicting the Post-Thrombolysis Complications in Stroke Patients: A Multi-Center Study. Click here to read the latest free, Open Access article from Research: #stroke #thrombolysis

Our new collaborative work on ML using the DigCat platform's CO2 thermal methanation data module!."Application of an Explainable Machine Learning to CO2 Methanation for Optimal Design Nickel-Based Catalysts" - ACS Sustainable Chemistry & Engineering

Explore the latest #OA paper, “Meta-Explainable Machine Learning Model for Public Health Care Resource Management," published in the Journal of Database Management (JDM). Access the full paper here: #Meta #AI # ML #Health #Healthcare #MaternalHealth

📢 #new_publication . 📄 An Explainable Machine Learning Framework for Forecasting Lake Water Equivalent Using Satellite Data: A 20-Year Analysis of the Urmia Lake Basin. ✍️ Sara Habibi and Saeed Tasouji Hassanpour . Find out more 👉

JUST PUBLISHED: Exploring the Impact of Color and Daytime/Nighttime on Visual Memory in Virtual Reality Teaching Environments Using Explainable Machine Learning. Click here to read the latest free, Open Access article from Intelligent Computing:

Postdoctoral opportunity in explainable machine learning

JMIR Formative Res: Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study #MachineLearning #COVID19 #HealthTech #PredictiveAnalytics #DataScience

高井研究室の須藤駿哉さんが、.The 19th Pacific Polymer Conferenceにおいて.「Prediction of wettability for water and an organic solvent on the polymer surfaces based on explainable machine learning」.の研究発表でPPC19 POSTER AWARDを受賞されました。.おめでとうございます。.

2018. 'Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.'. XAI: Explainable Artificial Intelligence

🎓PhD Spotlight: Karsten Roth. Celebrate @confusezius, who defended his PhD on June 24th summa cum laude! . Karsten has been an @ELLISforEurope and IMPRS-IS PhD student since May 2021, supervised by both @zeynepakata and @OriolVinyalsML. His research has been centered around

📃 Bridging the Exercise Intention-Behavior Gap Among College Students .A recent study employs explainable machine learning to uncover the barriers affecting college students' physical activity intentions and behaviors. 🏃‍♂️ .

Applying Explainable Machine Learning to Classify Smoking Status from Basic Health Biological Signals. Read the Article here: #Explainablemachinelearning #Featureimportance #Machinelearning #Modelprediction #Smoking #Biomedical #Pharmacology

#Cardiology #AI: researchers have designed an explainable machine learning model to predict intensive care unit mortality in myocardial infarction patients from pseudo-dynamic data. The model could help to reduce mortality rates in heart attack patients -

Veronica Breene rocks the stage representing her startup Vesta Insights. 🏦 Mortgage lender solution that anticipates arrears using machine learning and explainable AI. #Founders #DemoDay

[Thai Below].🎤 Speaker Spotlight: Yashasvi Misra Data Engineer @ Pure Storage.📌 Topic: "What's Really Going on in Your Model? A Python Guide to Explainable AI" .🤖 Machine Learning & AI . 💡 Make your black-box models transparent! Master explainable AI tools like SHAP, LIME,

#Neurology #AI: researchers have developed explainable machine learning models for predicting stroke from a publicly accessible stroke dataset. The models could facilitate the early diagnosis of stroke and cerebral haemorrhage -

New Research: Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study #FrontiersIn #PublicHealth.

Check out research from Journal of Sport and Exercise Psychology! Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning #sportpsychology #sportscience

New Research: Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus #FrontiersIn #Endocrinology.