Top Tweets for #ExplainableML
AUC 0.93—DL model predicts thyroid cancer spread via grayscale, elastography & microflow ultrasound. SR-enhanced imaging improves clarity & trust
https://t.co/03UV3Xp3Hw
#MedicalAI #ExplainableML #AIInfra
📣 2nd workshop on Physics Enhancing ML in Applied Mechanics, 20/11/23, London & online @iop_conferences: program is out!
🎯 Free registration by 14/11
info: https://t.co/f9WTifg7cx
🙏 reshare
#phiML #scientificmachinelearning #physicsinformedMachineLearning #explainableML
📣 2nd workshop on Physics Enhancing Machine Learning in Applied Mechanics, 20 November 2023, London @iop_conferences
🎯 Free registration, hybrid event
info: https://t.co/75UpW84uN9
🙏 reshare
#phiML #scientificmachinelearning #physicsinformedMachineLearning #explainableML
📊 Overcoming multi-class imbalance: class weights vs. sampling 🚀 Learn to balance models for fair predictions in ML. #DataScience #ImbalancedDatasets
Heimdall ML will report precision, recall & F-1 scores for all classification problems #explainableML
Mosaic has developed several techniques to support #explainableML, helping human drivers of remotely operated vehicles at #NASA to gain new insights and operate more autonomously. https://t.co/iFlAMkFK5S
#ExplainableML models for a deeper insight on treatment decision for localized #prostateCancer
#ArtificialIntelligence #AI #ML #MachineLearning #DeepLearning #DL #Tech #Technology
#Algorithm #Data #HealthCare #HealthTech #MedicalTech #MedTech
https://t.co/0EqBQ6tdLU
🎉 Congratulations to @EttoreMariotti, @NL4XAI ESR, for his work featured in the #InformationFusion Journal! 📚His research in #ExplainableML emphasizes the importance of interpretable models that are both expressive and aligned with task-specific constraints. Don't miss out!🤓📖
Happy to announce our work is now in the esteemed #InformationFusion Journal!🎉In #ExplainableML, we've pushed for interpretable models that are expressive & adhere to task-specific constraints - introducing "Constrainable Neural Additive Models.”👩💻📈 Interested? Give it a read!
Happy to announce our work is now in the esteemed #InformationFusion Journal!🎉In #ExplainableML, we've pushed for interpretable models that are expressive & adhere to task-specific constraints - introducing "Constrainable Neural Additive Models.”👩💻📈 Interested? Give it a read!
#funded #phd Still open for applications - Deadline 26th of May! #research #explainableML #AcademicTwitter #AcademicChatter
Funded opportunity to pursue a PhD in Computer Science in Validating, Monitoring and Explaining model decisions.
Details including funding and application process are:
https://t.co/OHZcnNM0BJ
The application deadline is Friday 26th of May 2023.
#PhD #funded #AcademicTwitter
CALL FOR PAPERS AND ABSTRACTS “Explainable Artificial Intelligence For Unveiling The Brain: From The Black-Box To The Glass-Box” BrainInformatics2023 #explainableAI #explainableML #interpretableML #XAI #ArtificialIntelligence #MachineLearning #neuroscience #neuroimaging #brain
Explainable machine learning for public policy: use cases, gaps, & research directions
@AmareKas, Kit T. Rodolfa, @HemankLamba & @RayidGhani
→ https://t.co/GdRyvntvd0
#ExplainableMachineLearning #MachineLearning #PublicPolicy #ML #ExplainableML #InterpretableML @HeinzCollege
I simply must share this wonderful conversation of @seanmcarroll with @TaniaLombrozo
https://t.co/gFIrvelDMD
I think I overheard something that may be relevant to #ExplainableML @ChristophMolnar @Marina_MCV
A short 🧵 0/3
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