![Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks](https://www.mdpi.com/applsci/applsci-13-09181/article_deploy/html/images/applsci-13-09181-g005b-550.jpg)
Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
![Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine](https://www.jabfm.org/content/jabfp/36/5/766/F1.large.jpg)
Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine
![Figure 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar Figure 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/98a880cb4a49a72a087eff10ba3c63eb7c3d577b/5-Figure1-1.png)
Figure 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar
![Towards a national perioperative clinical quality registry: The diagnostic accuracy of administrative data in identifying major postoperative complications - Jennifer R Reilly, Mark A Shulman, Annie M Gilbert, Bismi Jomon, Robin J Towards a national perioperative clinical quality registry: The diagnostic accuracy of administrative data in identifying major postoperative complications - Jennifer R Reilly, Mark A Shulman, Annie M Gilbert, Bismi Jomon, Robin J](https://journals.sagepub.com/cms/10.1177/0310057X20905606/asset/images/large/10.1177_0310057x20905606-fig4.jpeg)
Towards a national perioperative clinical quality registry: The diagnostic accuracy of administrative data in identifying major postoperative complications - Jennifer R Reilly, Mark A Shulman, Annie M Gilbert, Bismi Jomon, Robin J
![Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations - ScienceDirect Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1568494623006774-gr9.jpg)
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations - ScienceDirect
![Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/98a880cb4a49a72a087eff10ba3c63eb7c3d577b/7-Table1-1.png)
Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar
![Development and selection of decision trees for water management: Impact of data preprocessing, algorithms and settings - IOS Press Development and selection of decision trees for water management: Impact of data preprocessing, algorithms and settings - IOS Press](https://content.iospress.com/media/aic/2016/29-6/aic-29-6-aic711/aic-29-aic711-g001.jpg)
Development and selection of decision trees for water management: Impact of data preprocessing, algorithms and settings - IOS Press
![Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine](https://www.jabfm.org/content/jabfp/36/5/766/F5.large.jpg)
Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine
![Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/98a880cb4a49a72a087eff10ba3c63eb7c3d577b/8-Table3-1.png)
Table 1 from Generalized estimating equations with model selection for comparing dependent categorical agreement data | Semantic Scholar
![PDF] Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes | Semantic Scholar PDF] Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/6b82e9f816deb0272680b7a55e994ae614032a3d/20-Table1-1.png)
PDF] Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes | Semantic Scholar
![Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks](https://www.mdpi.com/applsci/applsci-13-09181/article_deploy/html/images/applsci-13-09181-g005b.png)
Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
![Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine](https://www.jabfm.org/content/jabfp/36/5/766/F4.large.jpg)
Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting | American Board of Family Medicine
![Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks](https://www.mdpi.com/applsci/applsci-13-09181/article_deploy/html/images/applsci-13-09181-g005a-550.jpg)
Applied Sciences | Free Full-Text | Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
![Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: the case study of Val Tartano, Italy | Applied Geomatics Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: the case study of Val Tartano, Italy | Applied Geomatics](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs12518-020-00344-1/MediaObjects/12518_2020_344_Fig13_HTML.png)
Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: the case study of Val Tartano, Italy | Applied Geomatics
![Proposal and evaluation of nonstationary versions of SPEI and SDDI based on climate covariates for regional drought analysis - ScienceDirect Proposal and evaluation of nonstationary versions of SPEI and SDDI based on climate covariates for regional drought analysis - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0022169422003833-gr8.jpg)
Proposal and evaluation of nonstationary versions of SPEI and SDDI based on climate covariates for regional drought analysis - ScienceDirect
![MSclassifR: an R Package for Supervised Classification of Mass Spectra with Machine Learning Methods | bioRxiv MSclassifR: an R Package for Supervised Classification of Mass Spectra with Machine Learning Methods | bioRxiv](https://www.biorxiv.org/content/biorxiv/early/2023/10/18/2022.03.14.484252/F2.large.jpg)