AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS

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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…This research performs a comprehensive investigation into the use of supervised classification Machine Learning(ML) models, specifically, Artificial Neural Networks(ANN), Convolutional Autoencoder, and Convolution Long Short-Term Memory(convLSTM), in predicting wildfire spread. …”
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Modelling of surfacing seal binder ageing and rheology by Goosen, Elaine Simone

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Merging deep neural networks and probabilistic models using Sum product networks by Smit, Andries Petrus

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A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity

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Modelling attrition in the Eastern Cape public health system using multilevel survival analysis and machine learning methods by Perrie, Cailin

“…Unfortunately, all multilevel machine learning models explored failed to converge, resulted in excessive computational time forcing an abort, or simply resulted in poor model performance when evaluated on unseen data. …”
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Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning

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Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy

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Digital‐Green Collaborative Transformation and Agricultural Economic Resilience: Evidence From a Double Machine Learning Model

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Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands

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Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia

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Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma

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Machine learning algorithms for climate change integration in evaluation: A conceptual model and simulated case application in Africa

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A spatio-temporal framework for modelling informal settlement growth by Cilliers, Pierre

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Interpretation of an artificial neural network as a black box model by Laubscher, Karla

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Assessing interpretability in machine translation models for low-resource languages

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Machine learning for particle identification & deep generative models towards fast simulations for the Alice Transition Radiation Detector at CERN by Viljoen, Christiaan Gerhardus

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Spatial analysis of COVID-19 and the Russia–Ukraine war impacts on natural gas flows using statistical and machine learning models

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A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management

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Visualising interpretability in random forests by Manefeldt, Peter Cornelius

Subjects: “…Machine learning -- Models…”
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