Testing block subdivision algorithms on block designs. - Natalie Wiseman; Zachary Patterson (J. Geogr. Syst., 2016)

A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2018)

Activity patterns mining in Wi-Fi access point logs. - Guilhem Poucin; Bilal Farooq; Zachary Patterson (Comput. Environ. Urban Syst., 2018)

Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2019)

Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. - Ali Yazdizadeh; Zachary Patterson; Bilal Farooq (CoRR, 2019)

Itinerum: The open smartphone travel survey platform. - Zachary Patterson; Kyle Fitzsimmons; Stewart Jackson; Takeshi Mukai (SoftwareX, 2019)

An Untethered Brittle Star-Inspired Soft Robot for Closed-Loop Underwater Locomotion. - Zach J. Patterson; Andrew P. Sabelhaus; Keene Chin; Tess Lee Hellebrekers; Carmel Majidi (IROS, 2020)

An Untethered Brittle Star Robot for Closed-Loop Underwater Locomotion. - Zach J. Patterson; Andrew P. Sabelhaus; Keene Chin; Carmel Majidi (CoRR, 2020)

A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2020)

Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. - Ali Yazdizadeh; Zachary Patterson; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2020)

Numerical Simulation of an Untethered Omni-Directional Star-Shaped Swimming Robot. - Xiaonan Huang; Weicheng Huang; Zachary Patterson; Zhijian Ren; Mohammad Khalid Jawed; Carmel Majidi (ICRA, 2021)

Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories. - Ali Yazdizadeh; Arash Kalatian; Zachary Patterson; Bilal Farooq (CoRR, 2021)

Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. - Ravi Teja Vemuri; Muhammad Azam 002; Nizar Bouguila; Zachary Patterson (ICIT, 2022)

Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction. - Naghmeh Shafiee Roudbari; Zachary Patterson; Ursula Eicker; Charalambos Poullis (SSCI, 2022)

Improved Training for 3D Point Cloud Classification. - Sneha Paul; Zachary Patterson; Nizar Bouguila (S+SSPR, 2022)

Design and Closed-Loop Motion Planning of an Untethered Swimming Soft Robot Using 2D Discrete Elastic Rods Simulations. - Xiaonan Huang; Zach J. Patterson; Andrew P. Sabelhaus; Weicheng Huang; Kiyn Chin; Zhijian Ren; Mohammad Khalid Jawed; Carmel Majidi (Adv. Intell. Syst., 2022)

Safe Supervisory Control of Soft Robot Actuators. - Andrew P. Sabelhaus; Zach J. Patterson; Anthony T. Wertz; Carmel Majidi (CoRR, 2022)

A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning. - Ravi Teja Vemuri; Muhammad Azam 002; Nizar Bouguila; Zachary Patterson (Neural Comput. Appl., 2022)

Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator. - Zach J. Patterson; Andrew P. Sabelhaus; Carmel Majidi (IEEE Robotics Autom. Lett., 2022)

Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (IEEE Trans. Intell. Transp. Syst., 2022)

Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. - Ali Baghdadi; Narges Manouchehri; Zachary Patterson; Wentao Fan; Nizar Bouguila (Comput. Intell., 2022)

CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. - Sneha Paul; Zachary Patterson; Nizar Bouguila (CRV, 2023)

Shifting Left for Early Detection of Machine-Learning Bugs. - Ben Liblit; Linghui Luo; Alejandro Molina 002; Rajdeep Mukherjee; Zachary Patterson; Goran Piskachev; Martin Schäf; Omer Tripp; Willem Visser (FM, 2023)

Semantic Segmentation Using Transfer Learning on Fisheye Images. - Sneha Paul; Zachary Patterson; Nizar Bouguila (ICMLA, 2023)

TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. - Naghmeh Shafiee Roudbari; Charalambos Poullis; Zachary Patterson; Ursula Eicker (ICMLA, 2023)

A Fabrication and Simulation Recipe for Untethering Soft-Rigid Robots with Cable-Driven Stiffness Modulation. - James M. Bern; Zach J. Patterson; Leonardo Zamora Yañez; Kristoff K. Misquitta; Daniela Rus (IROS, 2023)

Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. - Asiye Baghbani; Saeed Rahmani; Nizar Bouguila; Zachary Patterson (ITSC, 2023)

Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. - Mohamed Chaaben; Asiye Baghbani; Nizar Bouguila; Zachary Patterson (ITSC, 2023)

A Variational Graph Convolution Network with Normalizing Flows for Passenger Flow Prediction. - Siavash Farazmand; Raghav Narula; Zachary Patterson; Nizar Bouguila (TransAI, 2023)

Soft Robotic Testbeds for Physics Simulator Validation, Closed Loop Control, and Comparative Biomechanics - Zachary Patterson (2023)

Graph Neural Networks for Intelligent Transportation Systems: A Survey. - Saeed Rahmani; Asiye Baghbani; Nizar Bouguila; Zachary Patterson (IEEE Trans. Intell. Transp. Syst., 2023)

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. - Sneha Paul; Zachary Patterson; Nizar Bouguila (ECCV (66), 2024)

Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots. - Zach J. Patterson; Cosimo Della Santina; Daniela Rus (ICRA, 2024)

HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning. - Naghmeh Shafiee Roudbari; Ursula Eicker; Charalambos Poullis; Zachary Patterson (ISVC (2), 2024)

Safe Control for Soft-Rigid Robots with Self-Contact Using Control Barrier Functions. - Zach J. Patterson; Wei Xiao 003; Emily R. Sologuren; Daniela Rus (RoboSoft, 2024)

A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera. - Pardis Ghaziamin; Kairavi Bajaj; Nizar Bouguila; Zachary Patterson (ICSC, 2024)

Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting. - Farnaz Kashefinishabouri; Nizar Bouguila; Zachary Patterson (SMARTGREENS, 2024)

Design and Control of Modular Soft-Rigid Hybrid Manipulators with Self-Contact. - Zach J. Patterson; Emily R. Sologuren; Cosimo Della Santina; Daniela Rus (CoRR, 2024)

Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo. - Makram Chahine; T. Konstantin Rusch; Zach J. Patterson; Daniela Rus (CoRR, 2024)

.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. - Sneha Paul; Zachary Patterson; Nizar Bouguila (J. Imaging, 2024)

DualMLP: a two-stream fusion model for 3D point cloud classification. - Sneha Paul; Zachary Patterson; Nizar Bouguila (Vis. Comput., 2024)

A Comparative Study of Log-Based Anomaly Detection Methods in Real-World System Logs. - Nadira Anjum Nipa; Nizar Bouguila; Zachary Patterson (IoTBDS, 2025)

Design of Trimmed Helicoid Soft-Rigid Hybrid Robots. - Zach J. Patterson; Emily R. Sologuren; Daniela Rus (RoboSoft, 2025)

Crowd Counting via Wi-Fi Probe Requests: Integrating Feature Selection and Data Generation. - Mohamed Chaaben; Nizar Bouguila; Zachary Patterson (ICSC, 2025)

Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions. - Akua Dickson; Juan C. Pacheco Garcia; Meredith L. Anderson; Ran Jing; Sarah Alizadeh-Shabdiz; Audrey X. Wang; Charles DeLorey; Zach J. Patterson; Andrew P. Sabelhaus (CoRR, 2025)

Learning to Move in Rhythm: Task-Conditioned Motion Policies with Orbital Stability Guarantees. - Maximilian Stölzle; T. Konstantin Rusch; Zach J. Patterson; Rodrigo Pérez-Dattari; Francesco Stella; Josie Hughes; Cosimo Della Santina; Daniela Rus (CoRR, 2025)