-
Article
DualMLP: a two-stream fusion model for 3D point cloud classification
In this paper, we present DualMLP, a novel 3D model that introduces the idea of a two-stream network for existing 3D models to handle the trade-off between the number of points and the computational overhead. ...
-
Chapter and Conference Paper
Shifting Left for Early Detection of Machine-Learning Bugs
Computational notebooks are widely used for machine learning (ML). However, notebooks raise new correctness concerns beyond those found in traditional programming environments. ML library APIs are easy to misu...
-
Article
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning
This paper proposes an effective unsupervised Bayesian framework for learning a finite mixture of asymmetric generalized Gaussian distributions (AGGD). The parameters are estimated by a hybrid Markov Chain Mon...
-
Chapter and Conference Paper
Improved Training for 3D Point Cloud Classification
The point cloud is a 3D geometric data of irregular format. As a result, they are needed to be transformed into 3D voxels or a collection of images before being fed into models. This unnecessarily increases th...
-
Chapter
Bayesian Inference of Hidden Markov Models Using Dirichlet Mixtures
In this chapter, we propose an efficient unsupervised learning approach following a Bayesian framework for Hidden Markov Model (HMM) learning. We showcase a unique parameter estimation technique based on Marko...
-
Chapter
Shifted-Scaled Dirichlet-Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning
In this chapter, we propose a variational Bayes framework for learning hidden Markov models (HMMs). This approach has some advantages over other learning techniques, such as tractable learning computations, pr...
-
Article
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
This study experiments with the use of adversarial networks to classify travel mode based on one-dimensional smartphone trajectory data. We use data from a large-scale smartphone travel survey in Montreal, Can...
-
Chapter
Modeling Soft Swimming Robots using Discrete Elastic Rod Method
Soft swimming robots are primarily composed of elastically deformable materials, which typically make up the robot’s body, limbs, and/or fins. Such robots can swim by moving their limbs, flap** their fins, o...
-
Article
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data
In recent years, and especially since the development of the smartphone, enormous amounts of data relevant for transportation have become available. These data hold out the potential to redefine how transporta...
-
Article
Open AccessProceedings from the 9th annual conference on the science of dissemination and implementation
-
Article
Impacts of built environment and emerging green technologies on daily transportation greenhouse gas emissions in Quebec cities: a disaggregate modeling approach
This paper aims to investigate the impact of the built environment (BE) and emerging transit and car technologies on household transport-related greenhouse gas emissions (GHGs) across three urban regions. Trip...
-
Article
Testing block subdivision algorithms on block designs
Integrated land use–transportation models predict future transportation demand taking into account how households and firms arrange themselves partly as a function of the transportation system. Recent integra...
