Bradley Eck

19 papers A* 2B 4Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Documents to Database: Failure Modes for Industrial Assets.
CoRR
Duygu Kabakci-Zorlu, Fabio Lorenzi, John D. Sheehan, Karol Lynch, Bradley Eck
2025 A* conf
Structured Document Generation for Industrial Equipment.
AAAI
Karol Lynch, Fabio Lorenzi, John D. Sheehan, Duygu Kabakci-Zorlu, Bradley Eck
2024 J jnl
FMEA Builder: Expert Guided Text Generation for Equipment Maintenance.
CoRR
Karol Lynch, Fabio Lorenzi, John D. Sheehan, Duygu Kabakci-Zorlu, Bradley Eck
2024 B conf
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data.
IEEE Big Data
Abigail Langbridge, Fearghal O'Donncha, James T. Rayfield, Bradley Eck
2024 A* conf
Symbol Description Reading.
AAAI
Karol Lynch, Bradley Eck, Joern Ploennigs
2023 B conf
Two-sample KS test with approxQuantile in Apache Spark®.
IEEE Big Data
Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba
2023 J jnl
What Makes a Good Dataset for Symbol Description Reading?
CoRR
Karol Lynch, Joern Ploennigs, Bradley Eck
2022 B conf
A monitoring framework for deployed machine learning models with supply chain examples.
IEEE Big Data
Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen, France Savard, Xiaowei Bao
2022 J jnl
A monitoring framework for deployed machine learning models with supply chain examples.
CoRR
Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen, France Savard, Xiaowei Bao
2022 — conf
GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper].
e-Energy
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, Ioannis Papageorgiou, Gerhard Meindl, Pierre Roduit
2021 — conf
Deployment and Management of Time Series Forecasts in Ocean Industry.
IEEE BigData
Fearghal O'Donncha, Albert Akhriev, Bradley Eck, Meredith Burke, Ramón Filgueira, Jon Grant
2021 J jnl
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks.
CoRR
Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi
2020 — conf
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks.
IEEE BigData
Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi
2020 J jnl
Scalable Deployment of AI Time-series Models for IoT.
CoRR
Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi
2019 — conf
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids.
e-Energy
Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi
2018 — conf
Castor: Contextual IoT Time Series Data and Model Management at Scale.
ICDM Workshops
Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi
2015 J jnl
A Lagrangian decomposition approach for the pump scheduling problem in water networks.
Eur. J. Oper. Res.
Bissan Ghaddar, Joe Naoum-Sawaya, Akihiro Kishimoto, Nicole Taheri, Bradley Eck
2015 J jnl
Simulation-optimization approaches for water pump scheduling and pipe replacement problems.
Eur. J. Oper. Res.
Joe Naoum-Sawaya, Bissan Ghaddar, Ernesto Arandia, Bradley Eck
2014 B conf
Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks.
ICPR
Francesco Fusco, Bradley Eck, Sean McKenna