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[HTML][HTML] Spatial prediction of PM2. 5 concentration using hyper-parameter optimization XGBoost model in China
Y Song, C Zhang, X **, X Zhao, W Huang… - … Technology & Innovation, 2023 - Elsevier
High-fine particulate matter (PM 2. 5) pollution has become the main object of damaging the
atmospheric environment and endangering human health. Accurate prediction of the spatial …
atmospheric environment and endangering human health. Accurate prediction of the spatial …
AI for Low-Code for AI
Low-code programming allows citizen developers to create programs with minimal coding
effort, typically via visual (eg drag-and-drop) interfaces. In parallel, recent AI-powered tools …
effort, typically via visual (eg drag-and-drop) interfaces. In parallel, recent AI-powered tools …
HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China
Y Song, D Zhan, Z He, W Li, W Duan, Z Yang… - … and Electronics in …, 2023 - Elsevier
Abstract Machine learning (ML) models have been widely used for predicting spatial
variability of soil heavy metals. However, it is impossible to explore the entire …
variability of soil heavy metals. However, it is impossible to explore the entire …
Single-shot general hyper-parameter optimization for federated learning
We address the problem of hyper-parameter optimization (HPO) for federated learning (FL-
HPO). We introduce Federated Loss SuRface Aggregation (FLoRA), a general FL-HPO …
HPO). We introduce Federated Loss SuRface Aggregation (FLoRA), a general FL-HPO …
Extracting enhanced artificial intelligence model metadata from software repositories
While artificial intelligence (AI) models have improved at understanding large-scale data,
understanding AI models themselves at any scale is difficult. For example, even two models …
understanding AI models themselves at any scale is difficult. For example, even two models …
Automatic machine learning applied to electrical biosignals: A selective review
Electrical biosignals, stemming from potential differences in specific tissues like muscles,
play a pivotal role in medical diagnoses, aiding in identifying ailments from arrhythmias to …
play a pivotal role in medical diagnoses, aiding in identifying ailments from arrhythmias to …
Gradual automl using lale
Lale is a sklearn-compatible library for automated machine learning (AutoML). It is open-
source (https://github. com/ibm/lale) and addresses the need for gradual automation of …
source (https://github. com/ibm/lale) and addresses the need for gradual automation of …
Scalable end-to-end ml platforms: from automl to self-serve
IL Markov, PA Apostolopoulos, MR Garrard… - ar** practical machine learning (ML) …