A fuzzy index for detecting spatiotemporal outliers. - George Grekousis; Yorgos N. Photis (GeoInformatica, 2012)

Erratum to: A fuzzy index for detecting spatiotemporal outliers. - George Grekousis; Yorgos N. Photis (GeoInformatica, 2012)

Giving Fuzziness to Spatial Clusters: a New Index for Choosing the Optimal Number of Clusters. - George Grekousis (Int. J. Artif. Intell. Tools, 2013)

Artificial neural networks and deep learning in urban geography: A systematic review and meta-analysis. - George Grekousis (Comput. Environ. Urban Syst., 2019)

Where will the next emergency event occur? Predicting ambulance demand in emergency medical services using artificial intelligence. - George Grekousis; Ye Liu (Comput. Environ. Urban Syst., 2019)

Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique. - Ruoyu Wang 011; Ye Liu; Yi Lu 012; Jinbao Zhang 001; Penghua Liu; Yao Yao 004; George Grekousis (Comput. Environ. Urban Syst., 2019)

Local fuzzy geographically weighted clustering: a new method for geodemographic segmentation. - George Grekousis (Int. J. Geogr. Inf. Sci., 2021)

Information Extraction and Population Estimates of Settlements from Historic Corona Satellite Imagery in the 1960s. - Dimitris Stratoulias; George Grekousis (Sensors, 2021)

Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery. - Dongwei Liu; Ruoyu Wang 011; George Grekousis; Ye Liu; Yi Lu 012 (Comput. Environ. Urban Syst., 2023)

Geographical-XGBoost: a new ensemble model for spatially local regression based on gradient-boosted trees. - George Grekousis (J. Geogr. Syst., 2025)

Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework. - Yue Lin 005; George Grekousis (Int. J. Geogr. Inf. Sci., 2025)