Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Kamil Raczycki

Kamil Raczycki

Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data



Kamil Raczycki

Figure 1 for Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
Figure 2 for Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
Figure 3 for Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
Figure 4 for Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
* Codebase and interactive website available at https://pwr-inf.github.io/Transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-OpenStreetMap. arXiv admin note: text overlap with arXiv:2111.00990 
   Access Paper or Ask Questions

Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data



Kamil Raczycki , Piotr SzymaƄski

Figure 1 for Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Figure 2 for Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Figure 3 for Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Figure 4 for Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
* Accepted to 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities 
   Access Paper or Ask Questions

Spatial Data Mining of Public Transport Incidents reported in Social Media



Kamil Raczycki , Marcin SzymaƄski , Yahor Yeliseyenka , Piotr SzymaƄski , Tomasz Kajdanowicz

Figure 1 for Spatial Data Mining of Public Transport Incidents reported in Social Media
Figure 2 for Spatial Data Mining of Public Transport Incidents reported in Social Media
Figure 3 for Spatial Data Mining of Public Transport Incidents reported in Social Media
Figure 4 for Spatial Data Mining of Public Transport Incidents reported in Social Media
* Preprint, accepted to IWCTS at SIGSPATIAL'21 
   Access Paper or Ask Questions