AutoCTS: Automated Correlated Time Series Forecasting. | 0 | 0.34 | 2022 |
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. | 0 | 0.34 | 2022 |
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. | 0 | 0.34 | 2022 |
Enhancenet: Plugin Neural Networks For Enhancing Correlated Time Series Forecasting | 0 | 0.34 | 2021 |
Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches | 0 | 0.34 | 2021 |
Fast stochastic routing under time-varying uncertainty | 2 | 0.36 | 2020 |
Anytime Stochastic Routing with Hybrid Learning. | 0 | 0.34 | 2020 |
A Road Segment Attribute Completion System | 0 | 0.34 | 2020 |
A Hybrid Learning Approach To Stochastic Routing | 2 | 0.36 | 2020 |
A Correlated Time Series Forecast System | 0 | 0.34 | 2020 |
Context-aware, preference-based vehicle routing | 1 | 0.34 | 2020 |
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks | 5 | 0.49 | 2019 |
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. | 11 | 0.56 | 2019 |
Learning to Route with Sparse Trajectory Sets | 10 | 0.46 | 2018 |
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks | 7 | 0.48 | 2018 |
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. | 6 | 0.43 | 2018 |
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. | 0 | 0.34 | 2018 |
PACE: a PAth-CEntric paradigm for stochastic path finding | 10 | 0.51 | 2018 |
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. | 1 | 0.37 | 2018 |
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. | 7 | 0.44 | 2018 |
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. | 8 | 0.51 | 2018 |
Learning to Route with Sparse Trajectory Sets - Extended Version. | 0 | 0.34 | 2018 |
Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation | 1 | 0.39 | 2017 |
EcoSky: Reducing vehicular environmental impact through eco-routing | 23 | 1.01 | 2015 |
Toward personalized, context-aware routing | 16 | 0.70 | 2015 |
Personalized route recommendation using big trajectory data | 44 | 1.25 | 2015 |
Finding top-k local users in geo-tagged social media data | 18 | 0.56 | 2015 |
Using Incomplete Information for Complete Weight Annotation of Road Networks | 33 | 1.52 | 2014 |
Stochastic skyline route planning under time-varying uncertainty | 46 | 1.39 | 2014 |
iPark: identifying parking spaces from trajectories | 6 | 0.46 | 2013 |
Towards context-aware search and analysis on social media data | 23 | 0.83 | 2013 |
Finding shortest paths on terrains by killing two birds with one stone | 8 | 0.48 | 2013 |
Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. | 2 | 0.40 | 2013 |
Travel cost inference from sparse, spatio temporally correlated time series using Markov models | 58 | 2.09 | 2013 |
EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes | 13 | 0.96 | 2013 |
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems | 30 | 1.27 | 2013 |
Harvesting facts from textual web sources by constrained label propagation | 35 | 1.44 | 2011 |
Spatio-temporal joins on symbolic indoor tracking data | 14 | 0.66 | 2011 |
Scalable spatio-temporal knowledge harvesting | 2 | 0.38 | 2011 |
Indoor - A New Data Management Frontier | 24 | 1.14 | 2010 |
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space | 45 | 1.57 | 2010 |
Indexing the Trajectories of Moving Objects in Symbolic Indoor Space | 43 | 1.42 | 2009 |
Query processing of massive trajectory data based on mapreduce | 35 | 1.50 | 2009 |
Scalable continuous range monitoring of moving objects in symbolic indoor space | 23 | 0.88 | 2009 |
TRUSTER: TRajectory Data Processing on ClUSTERs | 16 | 0.70 | 2009 |
Graph Model Based Indoor Tracking | 78 | 3.21 | 2009 |