#predictionmodeling search results
No one can touch my protocols. They are from the future. We are the future. #UVXY #volatility #predictionmodeling #timeseries
Ünal Aksu of the @BPMAgroup presents his work on predicting which KPIs are relevant for organizations @BIS_conf @unisevilla. #predictionmodeling #AMUSE
On my way to Baltimore to discuss research priorities for the next 5-10 years in the area of normal tissue complication probabilty modeling #beyondquantec #predictionmodeling
Sharing knowledge about #machinelearning #predictionmodeling and #regressionanalysis with @JellyfishAgency #MeasureCampBCN
#EAPS2018 demonstrating how #predictionmodeling can help formulate practical tools for neonatal teams #Algorithms to enable earlier identification neurodevelopmental delays and intervention. #machienelearning #EAPS2018 #bigdata #neonatology
#Landslide Susceptibility #PredictionModeling Based on #RemoteSensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent #NeuralNetwork 👉mdpi.com/1424-8220/20/6… #landslide #DeepLearning #logisticregression #decisiontree #geographicinformationsystem
MANA-SRM is a technique that directly detects and quantifies HLA-binding muation-associated #neoantigens. #HLA #PredictionModeling bit.ly/2q2pdjT
@CIR_AACR has a great collection out right now, first in a potential series called the CIR Toolbox! Take a look at some "tools" highlighting #ImmuneProfiling #PredictionModeling and #CARTcell generation methods. #BigData #MANAFEST #CellCulture #CIRtoolbox
🎉 This #JI_TopRead from Boyd & Jiang et al. determines crystal structures of peptide-#MHC complexes & compares to computationally predicted interactions, highlighting considerations when using #PredictionModeling. #ReadTheJI #immunology ➡️ ow.ly/4avx50RgvC6
#RecommendedPaper Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting by Xiaoya Ma, et. al. ➡️Read the full paper here: mdpi.com/2313-7673/8/3/… ✔️#DemandForecasting; #PredictionModeling; #DeepLearning; #SupplyChain
The new #CIRToolbox centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. See if these 🛠️ can be utilized in your research! #CancerImmunology bit.ly/3w0tUrT
#USDJPY will strike above 143 in a single candle. V3/ 45-minute snapshot. #predictionmodeling #forextrader #dipoleextrapolation tradingview.com/x/4oN6zb9V/?fb…
🫀New research on how algorithms can prevent avoidable deaths from sudden cardiac arrests ⬇️ #PredictionModeling
1/7 We developed a clinical algorithm/risk score (VFRisk) for prediction of sudden cardiac death with documented ventricular fibrillation or pulseless ventricular tachycardia (shockable/avertable SCD). Published today @JACCjournals authors.elsevier.com/a/1eqRM,siTgdB…
Dr. Fauci just said: “Not to offend my modeling colleagues. Models are meant to answer how bad it COULD get-not how bad it WILL get.” (I put the caps, he wasn’t shouting.) Dr. Fauci is currently my #data hero! #predictionmodeling #believeindata #believeinscience #COVID19.
#LAOTZU #PREDICTIONMODELING @ Paris Las Vegas Hotel & Casino instagram.com/p/BgCYL8anqe8/
Dr. Hong Yu w/ @UMassLowell starts with a provocation question: Deep learning is conquering human tasks; how far can it go in medicine? #deeplearning #predictionmodeling #ML
Common misconception: Prediction is not limited to the future. Prediction is making an assumption about something given some information you have. We should have called #predictionModeling assumption modeling!
Read how DataChat's Chart Builder helped analyze the astronomical increase in bike usage in 2020. #datachat #automl #predictionmodeling #analytics #AI hubs.li/Q01VjTG00
poster discussion session #ELCC2017 G.Defraene et al. Radiation-induced lung toxicity #PredictionModeling in #NSCLC esmo.org/Conferences/EL…
🎉 This #JI_TopRead from Boyd & Jiang et al. determines crystal structures of peptide-#MHC complexes & compares to computationally predicted interactions, highlighting considerations when using #PredictionModeling. #ReadTheJI #immunology ➡️ ow.ly/4avx50RgvC6
#RecommendedPaper Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting by Xiaoya Ma, et. al. ➡️Read the full paper here: mdpi.com/2313-7673/8/3/… ✔️#DemandForecasting; #PredictionModeling; #DeepLearning; #SupplyChain
Common misconception: Prediction is not limited to the future. Prediction is making an assumption about something given some information you have. We should have called #predictionModeling assumption modeling!
Read how DataChat's Chart Builder helped analyze the astronomical increase in bike usage in 2020. #datachat #automl #predictionmodeling #analytics #AI hubs.li/Q01VjTG00
#USDJPY will strike above 143 in a single candle. V3/ 45-minute snapshot. #predictionmodeling #forextrader #dipoleextrapolation tradingview.com/x/4oN6zb9V/?fb…
The Department of Health Services Research @MDAndersonNews has an opening for a Sr Statistical Analyst to work on predictive modeling. Apply here: m.rfer.us/MDARjOXej #Statistics #Stats #PredictionModeling #HSR
🫀New research on how algorithms can prevent avoidable deaths from sudden cardiac arrests ⬇️ #PredictionModeling
1/7 We developed a clinical algorithm/risk score (VFRisk) for prediction of sudden cardiac death with documented ventricular fibrillation or pulseless ventricular tachycardia (shockable/avertable SCD). Published today @JACCjournals authors.elsevier.com/a/1eqRM,siTgdB…
The latest @CIR_AACR Toolbox, Advanced Technologies for Antigen Identification, centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. 👇👇
Have you checked out the #CIRToolbox ⚒️ collection: Advanced Technologies for Antigen Identification? bit.ly/3Ivr3wM
The new #CIRToolbox centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. See if these 🛠️ can be utilized in your research! #CancerImmunology bit.ly/3jjj0tG
The new #CIRToolbox centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. See if these 🛠️ can be utilized in your research! #CancerImmunology bit.ly/3w0tUrT
Our new #CIRToolbox centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. Can these (tools emoji) be utilized in your research? #CancerImmunology bit.ly/3foLS00
Sharing knowledge about #machinelearning #predictionmodeling and #regressionanalysis with @JellyfishAgency #MeasureCampBCN
MANA-SRM is a technique that directly detects and quantifies HLA-binding muation-associated #neoantigens. #HLA #PredictionModeling bit.ly/2q2pdjT
No one can touch my protocols. They are from the future. We are the future. #UVXY #volatility #predictionmodeling #timeseries
On my way to Baltimore to discuss research priorities for the next 5-10 years in the area of normal tissue complication probabilty modeling #beyondquantec #predictionmodeling
#EAPS2018 demonstrating how #predictionmodeling can help formulate practical tools for neonatal teams #Algorithms to enable earlier identification neurodevelopmental delays and intervention. #machienelearning #EAPS2018 #bigdata #neonatology
The new #CIRToolbox centers on the convergence of #MachineLearning, high-throughput advanced technologies, and bioinformatics to improve #PredictionModeling and ID of #neoantigens. See if these 🛠️ can be utilized in your research! #CancerImmunology bit.ly/3w0tUrT
Ünal Aksu of the @BPMAgroup presents his work on predicting which KPIs are relevant for organizations @BIS_conf @unisevilla. #predictionmodeling #AMUSE
#Landslide Susceptibility #PredictionModeling Based on #RemoteSensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent #NeuralNetwork 👉mdpi.com/1424-8220/20/6… #landslide #DeepLearning #logisticregression #decisiontree #geographicinformationsystem
🎉 This #JI_TopRead from Boyd & Jiang et al. determines crystal structures of peptide-#MHC complexes & compares to computationally predicted interactions, highlighting considerations when using #PredictionModeling. #ReadTheJI #immunology ➡️ ow.ly/4avx50RgvC6
#RecommendedPaper Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting by Xiaoya Ma, et. al. ➡️Read the full paper here: mdpi.com/2313-7673/8/3/… ✔️#DemandForecasting; #PredictionModeling; #DeepLearning; #SupplyChain
@CIR_AACR has a great collection out right now, first in a potential series called the CIR Toolbox! Take a look at some "tools" highlighting #ImmuneProfiling #PredictionModeling and #CARTcell generation methods. #BigData #MANAFEST #CellCulture #CIRtoolbox
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