Tag: feature selection

A new adaptive algorithm called SelF-Rocket dynamically selects the best input representation and pooling operator for time series classification, matching ...

Researchers have developed a rough-set-based AI framework that quantifies Traditional Chinese Medicine diagnostics and fuses them with Western clinical data, ...

Researchers at the Universitat Politècnica de Catalunya show that on-chip hardware performance counters combined with machine learning can detect microarchitectural ...

A new Bayesian spatial mixed model called SpaMixed detects air pollution effects on the microbiome by accounting for geographic and ...

Researchers in Porto have developed a game theory-inspired machine learning framework that gives each transportation mode its own tailored feature ...

Researchers at Manipur University have developed EF²RB, an ensemble feature selection framework that boosts IoT intrusion detection accuracy to between ...

Researchers developed an eight-variable XGBoost machine learning model that predicts ICU mortality in spine fracture patients as accurately as the ...

A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...

A hybrid AI framework combining spatio-temporal graph networks with the Comment Feedback Optimization Algorithm lifts biomass energy forecasting accuracy to ...