default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDACM Transactions on Spatial Algorithms and Systems, Volume 5
Volume 5, Number 1, June 2019
- Walid G. Aref:
Introduction to the Special Issue on the Best Papers from the 2017 ACM SIGSPATIAL Conference. 1:1-1:2 - Mathias Rav, Aaron Lowe, Pankaj K. Agarwal:
Flood Risk Analysis on Terrains. 2:1-2:31 - Mirjana Pavlovic, Kai-Niklas Bastian, Hinnerk Gildhoff, Anastasia Ailamaki:
Dictionary Compression in Point Cloud Data Management. 3:1-3:25 - Yang Li
, Dimitrios Gunopulos, Cewu Lu, Leonidas J. Guibas:
Personalized Travel Time Prediction Using a Small Number of Probe Vehicles. 4:1-4:27 - Oscar Correa, A. K. M. Mustafizur Rahman Khan, Egemen Tanin, Lars Kulik, Kotagiri Ramamohanarao:
Congestion-Aware Ride-Sharing. 5:1-5:33 - Randall T. Whitman, Bryan G. Marsh, Michael B. Park, Erik G. Hoel:
Distributed Spatial and Spatio-Temporal Join on Apache Spark. 6:1-6:28
Volume 5, Number 2, August 2019
- Sreenivas Gollapudi:
Introduction to the Special Issue on Urban Mobility: Algorithms and Systems. 7:1 - Hancheng Cao, Jagan Sankaranarayanan, Jie Feng, Yong Li, Hanan Samet:
Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data. 8:1-8:18 - Theophile Cabannes, Marco Antonio Sangiovanni Vincentelli, Alexander Keimer, Alexandre M. Bayen:
Regrets in Routing Networks: Measuring the Impact of Routing Apps in Traffic. 9:1-9:19 - Yeasir Rayhan, Tanzima Hashem, Roksana Jahan, Muhammad Aamir Cheema:
Efficient Scheduling of Generalized Group Trips in Road Networks. 10:1-10:24 - Haiquan Wang, Yilin Li, Guoping Liu, Xiang Wen, Xiaohu Qie:
Accurate Detection of Road Network Anomaly by Understanding Crowd's Driving Strategies from Human Mobility. 11:1-11:17 - Davide Pietrobon, Andrew P. Lewis, Gavin S. Heverly-Coulson:
An Algorithm for Road Closure Detection from Vehicle Probe Data. 12:1-12:13 - Marc Albert, Claudio Ruch, Emilio Frazzoli:
Imbalance in Mobility-on-Demand Systems: A Stochastic Model and Distributed Control Approach. 13:1-13:22 - Lauren Doocy, Steven D. Prager, Joseph T. Kider Jr., R. Paul Wiegand:
Robust Path Matching and Anomalous Route Detection Using Posterior Weighted Graphs. 14:1-14:19
Volume 5, Number 3, September 2019
- Samuli Hemminki, Keisuke Kuribayashi, Shin'ichi Konomi, Petteri Nurmi, Sasu Tarkoma:
Crowd Replication: Sensing-Assisted Quantification of Human Behavior in Public Spaces. 15:1-15:34 - Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. 16:1-16:28 - George Rosario Jagadeesh, Thambipillai Srikanthan:
Fast Computation of Clustered Many-to-many Shortest Paths and Its Application to Map Matching. 17:1-17:20 - Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
From Rocks to Pebbles: Smoothing Spatiotemporal Data Streams in an Overlay of Sensors. 18:1-18:38 - Liang Zhao, Olga Gkountouna, Dieter Pfoser:
Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. 19:1-19:28 - Mehnaz Tabassum Mahin, Tanzima Hashem:
Activity-aware Ridesharing Group Trip Planning Queries for Flexible POIs. 20:1-20:41
Volume 5, Number 4, December 2019
- Walid G. Aref:
Editorial: Special Issue on the Best Papers from the 2018 ACM SIGSPATIAL Conference. 21:1-21:2 - Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz:
To Buy or Not to Buy: Computing Value of Spatiotemporal Information. 22:1-22:25 - Sameera Kannangara, Egemen Tanin, Aaron Harwood, Shanika Karunasekera:
Stepping Stone Graph: A Graph for Finding Movement Corridors using Sparse Trajectories. 23:1-23:24 - Samet Ayhan, Pablo Costas, Hanan Samet:
A Data-driven Framework for Long-Range Aircraft Conflict Detection and Resolution. 24:1-24:23 - Hannah Bast, Patrick Brosi, Sabine Storandt:
Efficient Generation of Geographically Accurate Transit Maps. 25:1-25:36 - Aaron Lowe, Pankaj K. Agarwal:
Flood-Risk Analysis on Terrains under the Multiflow-Direction Model. 26:1-26:27 - Ibrahim Sabek, Mashaal Musleh, Mohamed F. Mokbel:
RegRocket: Scalable Multinomial Autologistic Regression with Unordered Categorical Variables Using Markov Logic Networks. 27:1-27:27
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-27 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
