Industrial Virtual Assistants: Challenges and Opportunities. - Benedikt Schmidt; Reuben Borrison; Andrew Cohen; Marcel Dix; Marco Gärtler; Martin Hollender; Benjamin Klöpper; Sylvia Maczey; Shunmuga Siddharthan (UbiComp/ISWC Adjunct, 2018)

Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants. - Reuben Borrison; Benjamin Klöpper; Moncef Chioua; Marcel Dix; Barbara Sprick (IDEAL (1), 2018)

Towards Plug and Use Functionality for Autonomous Buildings. - Markus Aleksy; Reuben Borrison; Christian Groß 005; Johannes Schmitt 001 (3PGCIC, 2019)

Data Preparation for Data Mining in Chemical Plants using Big Data. - Reuben Borrison; Benjamin Klöpper; Jennifer Mullen (INDIN, 2019)

Industrial Event Log Analyzer - Self-service Data Mining for Domain Experts. - Reuben Borrison; Benjamin Klöpper; Sunil Saini (ECML/PKDD (3), 2019)

Practical Aspects for Exploration and Analysis of Manual Interventions in Process Plants. - Benedikt Schmidt; Reuben Borrison; Marco Gärtler; Sylvia Maczey; Arzam Kotriwala (INDIN, 2021)

An Integrated Platform for Multi-Model Digital Twins. - Somayeh Malakuti; Reuben Borrison; Arzam Kotriwala; Benjamin Klöpper; Erik Nordlund; Kristian Ronnberg (IOT, 2021)

Open set anomaly classification. - Marcel Dix; Reuben Borrison (BuildSys, 2021)

Comparing human and algorithmic anomaly detection for HVAC systems applications. - Reuben Borrison; Marc Syndicus; André Orth; Romana Markovic; Marcel Dix; Antonio Liguori; Matthias Berning; Andreas Wagner; Christoph van Treeck (BigDataService, 2022)

Measuring the Robustness of ML Models Against Data Quality Issues in Industrial Time Series Data. - Marcel Dix; Gianluca Manca; Kenneth Chigozie Okafor; Reuben Borrison; Konstantin Kirchheim; Divyasheel Sharma; Chandrika K. R.; Deepti Maduskar; Frank Ortmeier (INDIN, 2023)

Technical Debt Management in Industrial ML - State of Practice and Management Model Proposal. - Xiaofei Wang; Herbert Schuster; Reuben Borrison; Benjamin Klöpper (INDIN, 2023)