, and natural language processing methods is applied to the textual data for automated identification and classification of …

. Risk classification and estimating risk relativities through statistical modeling become essential to help achieve fairness … classification data from the automobile statistical plan to investigate the disparities between insurance premiums and loss costs …

, we formulate and focus on a supervised classification task which decides if a plain short straddle on the S&P500 should … different classification models. Using standard machine learning techniques and systematic hyperparameter search, we find …. On the basis of this work, we have laid the foundations for the application of supervised classification methods to more …

important to clearly define rejection/approval criteria. In this direction, classification rules are an appropriate tool … different solutions based on Particle Swarm Optimization (PSO) techniques, which are able to construct a set of classification …

Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to …