Search Results for author:
Found 5 papers, 2 papers with code
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning
To close the gap and enhance smartphones towards MaaS, we developed a proprietary smartphone-sensing platform collecting contemporary Bluetooth Low Energy (BLE) signals from BLE devices installed on buses and Global Positioning System (GPS) locations of both buses and smartphones.
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Estimation of causal effects is fundamental in situations were the underlying system will be subject to active interventions.
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
In this paper, two machine learning algorithms, from the family of deep generative models, are proposed for the problem of population synthesis and with particular attention to the problem of sampling zeros.
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics
We use the presented approach to reveal the dynamics of transport preferences for a fixed pseudo panel of individuals based on a large Danish cross-sectional data set covering the period from 2006 to 2016.
Scalable Population Synthesis with Deep Generative Modeling
It is a fundamental problem in the modeling of transport where the synthetic populations of micro-agents represent a key input to most agent-based models.
