Tag: feature selection

Researchers at the University of Sassari have developed PSDFS, a feature-selection method that splits each feature into above- and below-mean ...

Researchers enhanced the Harris Hawks Optimizer with Latin Hypercube Sampling and Gaussian crossover to cut memory-based malware features from 55 ...

Researchers in Hyderabad have built a deep learning pipeline that predicts fault-prone software modules with 99.3 percent accuracy in under ...

Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...

Chinese researchers built an interpretable CatBoost-based machine learning model that predicts three-year overall survival in Waldenström Macroglobulinemia patients with an ...

Researchers in Spain have unveiled a data reduction method combining self-organizing maps and permutation importance that shrinks banking datasets by ...

Researchers have built a WaveNet-CNN framework that fuses spatial and frequency-domain features with a dual moth flame optimization algorithm to ...

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 ...