Results 281 to 290 of about 11,307,335 (373)
Explainable spatial machine learning for hedonic real estate modeling
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source
Explainable machine learning model for predicting hearing recovery in unilateral sudden sensorineural hearing loss. [PDF]
Wu J +6 more
europepmc +1 more source
ABSTRACT A platform matches a unit mass of sellers, each owning a single product of heterogeneous quality, to a unit mass of buyers with differing valuations for unit‐quality. After matching, sellers make take‐it‐or‐leave‐it price‐offers to buyers. Initially, valuations of buyers are only known to them and the platform, but sellers make inferences from
Daniele Condorelli, Balazs Szentes
wiley +1 more source
Predicting neighborhood-level violence from features of the physical and social environment with machine learning. [PDF]
Pear VA, Smirniotis C, Kagawa RMC.
europepmc +1 more source
Abstract When quality attributes of a product are not directly observable, third‐party certification (TPC) enables buyers to distinguish between quality levels and reward sellers accordingly. We study the adoption of TPC by traders in smallholder‐based agricultural value chains in low‐income countries, where traders aggregate products from many small ...
Gashaw T. Abate +4 more
wiley +1 more source
Alzheimer's disease prediction via an explainable CNN using genetic algorithm and SHAP values. [PDF]
Zahedipour M +2 more
europepmc +1 more source
Recompensation is a heterogeneous and dynamic state in HBV‐related decompensated cirrhosis; The prognosis for patients with unstable recompensation was found to be worse compared to those with stable recompensation, but still better than patients without recompensation; Subclassification of recompensation has significant implications for prognosis and ...
Shuai Xia +19 more
wiley +1 more source
Mine Gas Time-Series Data Prediction and Fluctuation Monitoring Method Based on Decomposition-Enhanced Cross-Graph Forecasting and Anomaly Finding. [PDF]
Yuan L.
europepmc +1 more source
ABSTRACT This study investigates the use of otolith shape analysis for species identification and size estimation in Ariopsis felis and Bagre marinus, based on 181 modern otoliths obtained from a scientific collection and recent sampling in the coastal regions of Campeche and Yucatán, as well as 39 archaeological otoliths corresponding to the Early ...
Ariana Solis‐Gómez +7 more
wiley +1 more source
On cycle-free accessible union stable network structures. [PDF]
Algaba E, van den Brink R, Dietz C.
europepmc +1 more source

