Epidemic spreading in trajectory networks T Pechlivanoglou, J Li, J Sun, F Heidari, M Papagelis Big Data Research 27, 100275, 2022 | 18 | 2022 |
Fast and accurate mining of node importance in trajectory networks T Pechlivanoglou, M Papagelis 2018 IEEE International Conference on Big Data (Big Data), 781-790, 2018 | 17 | 2018 |
Microscopic modeling of spatiotemporal epidemic dynamics T Pechlivanoglou, G Alix, N Yanin, J Li, F Heidari, M Papagelis Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial …, 2022 | 9 | 2022 |
A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics G Alix, N Yanin, T Pechlivanoglou, J Li, F Heidari, M Papagelis 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 292-295, 2022 | 8 | 2022 |
Evaluating and forecasting the operational performance of road intersections A Nematichari, T Pechlivanoglou, M Papagelis Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 4 | 2022 |
Efficient mining and exploration of multiple axis-aligned intersecting objects T Pechlivanoglou, V Chu, M Papagelis 2019 IEEE International Conference on Data Mining (ICDM), 1276-1281, 2019 | 4 | 2019 |
OL-HeatMap: effective density visualization of multiple overlapping rectangles NE Costa, T Pechlivanoglou, M Papagelis Big Data Research 25, 100235, 2021 | 3 | 2021 |
MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems T Pechlivanoglou, M Alsaeed, M Papagelis 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | | 2020 |
Sweep-Line Extensions to the Multiple Object Intersection Problem: Methods and Applications in Graph Mining T Pechlivanoglou York University, 2020 | | 2020 |
Network-Based Analysis of Public Transportation Systems in North American Cities A Masoumzadeh, T Pechlivanoglou arXiv preprint arXiv:2001.01838, 2020 | | 2020 |