Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks. - Francesco Fusco; Bradley Eck; Sean McKenna (ICPR, 2014)

Robustness to Time Discretization Errors in Water Network Optimization. - Nicole Taheri; Fabian R. Wirth; Bradley J. Eck; Martin Mevissen; Robert N. Shorten (OR, 2014)

A Lagrangian decomposition approach for the pump scheduling problem in water networks. - Bissan Ghaddar; Joe Naoum-Sawaya; Akihiro Kishimoto; Nicole Taheri; Bradley Eck (Eur. J. Oper. Res., 2015)

Simulation-optimization approaches for water pump scheduling and pipe replacement problems. - Joe Naoum-Sawaya; Bissan Ghaddar; Ernesto Arandia; Bradley Eck (Eur. J. Oper. Res., 2015)

An R package for reading EPANET files. - Bradley J. Eck (Environ. Model. Softw., 2016)

Temperature dynamics and water quality in distribution systems. - Bradley J. Eck; Hirotaka Saito; Sean McKenna (IBM J. Res. Dev., 2016)

Polynomial optimization for water networks: Global solutions for the valve setting problem. - Bissan Ghaddar; Mathieu Claeys; Martin Mevissen; Bradley J. Eck (Eur. J. Oper. Res., 2017)

Castor: Contextual IoT Time Series Data and Model Management at Scale. - Bei Chen; Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Mathieu Sinn; Seshu Tirupathi (ICDM Workshops, 2018)

An R package for EPANET simulations. - Ernesto Arandia; Bradley J. Eck (Environ. Model. Softw., 2018)

AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids. - Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi (e-Energy, 2019)

Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks. - Francesco Fusco; Bradley Eck; Robert Gormally; Mark Purcell; Seshu Tirupathi (IEEE BigData, 2020)

Scalable Deployment of AI Time-series Models for IoT. - Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi (CoRR, 2020)

Deployment and Management of Time Series Forecasts in Ocean Industry. - Fearghal O'Donncha; Albert Akhriev; Bradley Eck; Meredith Burke; Ramón Filgueira; Jon Grant (IEEE BigData, 2021)

Aggregation of nonlinearly enhanced experts with application to electricity load forecasting. - Alessandro Incremona; Giuseppe De Nicolao; Francesco Fusco; Bradley J. Eck; Seshu Tirupathi (Appl. Soft Comput., 2021)

A monitoring framework for deployed machine learning models with supply chain examples. - Bradley Eck; Duygu Kabakci-Zorlu; Yan Chen; France Savard; Xiaowei Bao (IEEE Big Data, 2022)

GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper]. - Bijay Neupane; Laurynas Siksnys; Torben Bach Pedersen; Rikke Hagensby Jensen; Muhammad Aftab; Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi; Gregor Cerne; Saso Brus; et al. (e-Energy, 2022)

Two-sample KS test with approxQuantile in Apache Spark®. - Bradley Eck; Duygu Kabakci-Zorlu; Amadou Ba (IEEE Big Data, 2023)

What Makes a Good Dataset for Symbol Description Reading? - Karol Lynch; Joern Ploennigs; Bradley Eck (CoRR, 2023)

Symbol Description Reading. - Karol Lynch; Bradley Eck; Joern Ploennigs (AAAI, 2024)

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data. - Abigail Langbridge; Fearghal O'Donncha; James T. Rayfield; Bradley Eck (IEEE Big Data, 2024)

FMEA Builder: Expert Guided Text Generation for Equipment Maintenance. - Karol Lynch; Fabio Lorenzi; John D. Sheehan; Duygu Kabakci-Zorlu; Bradley Eck (CoRR, 2024)

Structured Document Generation for Industrial Equipment. - Karol Lynch; Fabio Lorenzi; John D. Sheehan; Duygu Kabakci-Zorlu; Bradley Eck (AAAI, 2025)