Zachary Patterson

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Differentially Private

Gaussian Mixture

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Sneha Paul, Zachary Patterson, Nizar Bouguila
DualMLP: a two-stream fusion model for 3D point cloud classification. Vis. Comput. 40 (8) (2024)
Pardis Ghaziamin, Kairavi Bajaj, Nizar Bouguila, Zachary Patterson
A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera. ICSC (2024)
Farnaz Kashefinishabouri, Nizar Bouguila, Zachary Patterson
Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting. SMARTGREENS (2024)
Sneha Paul, Zachary Patterson, Nizar Bouguila
.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. J. Imaging 10 (3) (2024)
Ben Liblit, Linghui Luo, Alejandro Molina, Rajdeep Mukherjee, Zachary Patterson, Goran Piskachev, Martin Schäf, Omer Tripp, Willem Visser
Shifting Left for Early Detection of Machine-Learning Bugs. FM (2023)
Sneha Paul, Zachary Patterson, Nizar Bouguila
CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. CRV (2023)
Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. ITSC (2023)
Sneha Paul, Zachary Patterson, Nizar Bouguila
Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA (2023)
Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
Graph Neural Networks for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson
Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. ITSC (2023)
Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, Ursula Eicker
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. CoRR (2023)
Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, Ursula Eicker
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. ICMLA (2023)
Naghmeh Shafiee Roudbari, Zachary Patterson, Ursula Eicker, Charalambos Poullis
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction. SSCI (2022)
Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. 38 (6) (2022)
Sneha Paul, Zachary Patterson, Nizar Bouguila
Improved Training for 3D Point Cloud Classification. S+SSPR (2022)
Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning. Neural Comput. Appl. 34 (17) (2022)
Naghmeh Shafiee Roudbari, Zachary Patterson, Ursula Eicker, Charalambos Poullis
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction. CoRR (2022)
Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson
Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. ICIT (2022)
Ali Yazdizadeh, Arash Kalatian, Zachary Patterson, Bilal Farooq
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories. CoRR (2021)
Xiaonan Huang, Weicheng Huang, Zachary Patterson, Zhijian Ren, M. Khalid Jawed, Carmel Majidi
Numerical Simulation of an Untethered Omni-Directional Star-Shaped Swimming Robot. ICRA (2021)
Ali Yazdizadeh, Zachary Patterson, Bilal Farooq
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. IEEE Trans. Intell. Transp. Syst. 21 (6) (2020)
Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. CoRR (2020)
Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. CoRR (2020)
Zachary Patterson, Kyle Fitzsimmons, Stewart Jackson, Takeshi Mukai
Itinerum: The open smartphone travel survey platform. SoftwareX 10 (2019)
Ali Yazdizadeh, Zachary Patterson, Bilal Farooq
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. CoRR (2019)
Ali Yazdizadeh, Zachary Patterson, Bilal Farooq
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. CoRR (2019)
Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. CoRR (2019)
Guilhem Poucin, Bilal Farooq, Zachary Patterson
Activity patterns mining in Wi-Fi access point logs. Comput. Environ. Urban Syst. 67 (2018)
Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. CoRR (2018)
Natalie Wiseman, Zachary Patterson
Testing block subdivision algorithms on block designs. J. Geogr. Syst. 18 (1) (2016)