An innovative mobile app integrating relevant and crowdsourced information for improving citizen's safety. - Agustín García Pereira; Elsa Estevez; Pablo R. Fillottrani (ICEGOV, 2018)

Towards a Temporal Deep Learning Model to Support Sustainable Agricultural Practices. - Agustín García Pereira; Lukasz Porwol; Adegboyega Ojo; Edward Curry (AICS, 2019)

From VR-Participation Back to Reality - an AI&VR-driven Approach for Building Models for Effective Communication in e-Participation. - Lukasz Porwol; Agustín García Pereira; Adegboyega Ojo (AICS, 2019)

Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices. - Agustín García Pereira; Adegboyega Ojo; Edward Curry; Lukasz Porwol (HICSS, 2020)

Exploiting the Temporal Dimension of Remotely Sensed Imagery with Deep Learning Models. - Agustín García Pereira; Lukasz Porwol; Adegboyega Ojo; Edward Curry (HICSS, 2021)

Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models. - Agustín García Pereira; Lukasz Porwol; Adegboyega Ojo (HICSS, 2023)