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1207.1352
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Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service
4 July 2012
Eric Horvitz
Johnson Apacible
Raman Sarin
Lin Liao
AI4TS
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Papers citing
"Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service"
9 / 9 papers shown
Title
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data
Eric L. Manibardo
I. Laña
J. Lobo
Javier Del Ser
AI4TS
6
3
0
27 Mar 2020
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading
M. Dixon
Nicholas G. Polson
Vadim Sokolov
AI4TS
27
67
0
27 May 2017
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy
Apostolos Pyrgelis
Carmela Troncoso
Emiliano De Cristofaro
23
56
0
01 Mar 2017
Smartphone-based Vehicle Telematics - A Ten-Year Anniversary
Johan Wahlström
Isaac Skog
P. Händel
22
138
0
11 Nov 2016
Privacy-Friendly Mobility Analytics using Aggregate Location Data
Apostolos Pyrgelis
Emiliano De Cristofaro
Gordon J. Ross
14
17
0
21 Sep 2016
Variational Inference with Agent-Based Models
Wen Dong
31
3
0
14 May 2016
Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models
Daniel P. Robinson
S. Saria
21
2
0
20 Apr 2016
Location-Based Reasoning about Complex Multi-Agent Behavior
A. Sadilek
Henry A. Kautz
43
46
0
18 Jan 2014
Incentives for Privacy Tradeoff in Community Sensing
Adish Singla
Andreas Krause
41
75
0
19 Aug 2013
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