Predicting explainable dementia types with LLM-aided feature engineering. [PDF]
Kashyap AM +4 more
europepmc +1 more source
Graph-Based Deep Learning Models for Predicting p<i>K</i><sub>a</sub> Values of Protein-Ionizable Residues via Physically Inspired Feature Engineering. [PDF]
Song Z, Wang R, Jiao X, Huang Z.
europepmc +1 more source
Multi-Sensor Data Fusion and Vibro-Acoustic Feature Engineering for Health Monitoring and Remaining Useful Life Prediction of Hydraulic Valves. [PDF]
Li X +5 more
europepmc +1 more source
Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer. [PDF]
Matas-Bustos JB +4 more
europepmc +1 more source
A Feature Engineering Method for Whole-Genome DNA Sequence with Nucleotide Resolution. [PDF]
Wang T +8 more
europepmc +1 more source
Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction. [PDF]
Onah E +5 more
europepmc +1 more source
UM-CPP: A Universal Model for Efficient Classification of Protein Particles in cryo-EM Micrographs with Feature Engineering. [PDF]
Yao Z +8 more
europepmc +1 more source
CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments. [PDF]
Yilmaz Y, Çakmak T, Ustabaş İ.
europepmc +1 more source
Predicting drug-target interactions using machine learning with improved data balancing and feature engineering. [PDF]
Talukder MA, Kazi M, Alazab A.
europepmc +1 more source
Predicting stock returns using machine learning combined with data envelopment analysis and automatic feature engineering: A case study on the Vietnamese stock market. [PDF]
Thanh Nhon H, Do-Thi N, Nguyen-Trang T.
europepmc +1 more source

