Spatio-temporal Rule Mining: Issues and Techniques. - Gyözö Gidófalvi; Torben Bach Pedersen (DaWaK, 2005)

ST-ACTS: a spatio-temporal activity simulator. - Gyözö Gidófalvi; Torben Bach Pedersen (GIS, 2006)

Privacy-Preserving Data Mining on Moving Object Trajectories. - Gyözö Gidófalvi; Xuegang Huang; Torben Bach Pedersen (MDM, 2007)

Highly scalable trip grouping for large-scale collective transportation systems. - Gyözö Gidófalvi; Torben Bach Pedersen; Tore Risch; Erik Zeitler (EDBT, 2008)

Privacy: preserving trajectory collection. - Gyözö Gidófalvi; Xuegang Huang; Torben Bach Pedersen (GIS, 2008)

Estimating the capacity of the Location-Based Advertising channel. - Gyözö Gidófalvi; Hans Ravnkjær Larsen; Torben Bach Pedersen (Int. J. Mob. Commun., 2008)

Spatio-Temporal Data Mining for Location-Based Services. - Gyözö Gidófalvi (2008)

Mining Long, Sharable Patterns in Trajectories of Moving Objects. - Gyözö Gidófalvi; Torben Bach Pedersen (GeoInformatica, 2009)

Frequent route based continuous moving object location- and density prediction on road networks. - Gyözö Gidófalvi; Manohar Kaul; Christian Borgelt; Torben Bach Pedersen (GIS, 2011)

When and where next: individual mobility prediction. - Gyözö Gidófalvi; Fang Dong (MobiGIS, 2012)

Incremental Frequent Route Based Trajectory Prediction. - Anja Bachmann; Christian Borgelt; Gyözö Gidófalvi (CTS@SIGSPATIAL, 2013)

Geographical and temporal similarity measurement in location-based social networks. - Zhengwu Yuan; Yanli Jiang; Gyözö Gidófalvi (MobiGIS, 2013)

Mobility Collector. - Adrian C. Prelipcean; Gyözö Gidófalvi; Yusak O. Susilo (J. Locat. Based Serv., 2014)

Scalable selective traffic congestion notification. - Gyözö Gidófalvi (MobiGIS, 2015)

Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams. - Gyözö Gidófalvi; Can Yang 001 (UrbanGIS@SIGSPATIAL, 2015)

Comparative framework for activity-travel diary collection systems. - Adrian C. Prelipcean; Gyözö Gidófalvi; Yusak O. Susilo (MT-ITS, 2015)

Measures of transport mode segmentation of trajectories. - Adrian C. Prelipcean; Gyözö Gidófalvi; Yusak O. Susilo (Int. J. Geogr. Inf. Sci., 2016)

Fast map matching, an algorithm integrating hidden Markov model with precomputation. - Can Yang 001; Gyözö Gidófalvi (Int. J. Geogr. Inf. Sci., 2018)

Mining and visual exploration of closed contiguous sequential patterns in trajectories. - Can Yang 001; Gyözö Gidófalvi (Int. J. Geogr. Inf. Sci., 2018)

MEILI: A travel diary collection, annotation and automation system. - Adrian C. Prelipcean; Gyözö Gidófalvi; Yusak O. Susilo (Comput. Environ. Urban Syst., 2018)

Review of Big Data and Processing Frameworks for Disaster Response Applications. - Silvino Pedro Cumbane; Gyözö Gidófalvi (ISPRS Int. J. Geo Inf., 2019)

Detecting regional dominant movement patterns in trajectory data with a convolutional neural network. - Can Yang 001; Gyözö Gidófalvi (Int. J. Geogr. Inf. Sci., 2020)

Spatial Distribution of Displaced Population Estimated Using Mobile Phone Data to Support Disaster Response Activities. - Silvino Pedro Cumbane; Gyözö Gidófalvi (ISPRS Int. J. Geo Inf., 2021)

Mapping the intellectual structure of GIS-T field (2008-2019): a dynamic co-word analysis. - Seyedmohammadreza Hosseini; Hamed Baziyad; Rasoul Norouzi; Sheida Jabbedari Khiabani; Gyözö Gidófalvi; Amir Albadvi; Abbas Alimohammadi; Seyedehsan Seyedabrishami (Scientometrics, 2021)

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times. - Jesper C. Provoost; Andreas Kamilaris; Gyözö Gidófalvi; Geert J. Heijenk; Luc J. J. Wismans (CoRR, 2022)

Towards a better understanding of the health impacts of one's movement in space and time. - Robin C. O. Palmberg; Yusak O. Susilo; Gyözö Gidófalvi; Fatemeh Naqavi; Mikael Nybacka (J. Locat. Based Serv., 2022)

A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data. - Reza Hosseini; Daoqin Tong; Samsung Lim; Qian (Chayn) Sun; Gunho Sohn; Gyözö Gidófalvi; Abbas Alimohammadi; Seyedehsan Seyedabrishami (ISPRS Int. J. Geo Inf., 2023)

A framework for performance analysis of OpenStreetMap data in navigation applications: the case of a well-developed road network in Australia. - Reza Hosseini; Daoqin Tong; Samsung Lim; Gunho Sohn; Gyözö Gidófalvi (Ann. GIS, 2025)

Deep learning-based approach for COVID-19 spread prediction. - Silvino Pedro Cumbane; Gyözö Gidófalvi (Int. J. Data Sci. Anal., 2025)