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The discovery and characterization of Algol eclipsing binaries (EAs) providean opportunity to contribute for a better picture of the structure andevolution of low-mass stars. However, the cadence of most current photometricsurveys hinders the detection of EAs since the separation between observationsis usually larger than the eclipse(s) duration and hence few measurements arefound at the eclipses. Even when those objects are detected as variable, theirperiods can be missed if an appropriate oversampling factor is not used in thesearch tools. In this paper, we apply this approach to find the periods ofstars cataloged in the Catalina Real-Time Transient Survey (CRTS) as EAs havingunknown period (EA$_{\rm up}$). As a result, the periods of $\sim 56\%$ of themwere determined. Eight objects were identified as low-mass binary systems andmodeled with the Wilson \& Devinney synthesis code combined with a Monte-CarloMarkov Chain optimization procedure. The computed masses and radii are inagreement with theoretical models and show no evidence of inflated radii. Thispaper is the first of a series aiming to identify suspected binary systems inlarge surveys.

Recovering variable stars in large surveys: EA$_{\rm up}$ Algol-type class in the Catalina Survey