Back to Basics: Extracting Software Requirements with a Syntactic Approach. - Matthew Caron; Frederik Simon Bäumer; Michaela Geierhos (REFSQ Workshops, 2018)

Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. - Matthew Caron; Oliver Müller 001 (IEEE BigData, 2020)

To the Moon! Analyzing the Community of "Degenerates" Engaged in the Surge of the GME Stock. - Matthew Caron; Maryna Gulenko; Oliver Müller 001 (ICIS, 2021)

PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data. - Oliver Müller 001; Matthew Caron; Michael Döring; Tim Heuwinkel; Jochen Baumeister (MLSA@PKDD/ECML, 2021)

Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation. - Matthew Caron; Christian Bartelheimer; Oliver Müller 001 (AMCIS, 2022)

Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. - Matthew Caron (IEEE Big Data, 2022)

Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. - Matthew Caron; Frederik Simon Bäumer; Oliver Müller 001 (HICSS, 2022)

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. - Haya Halimeh; Matthew Caron; Oliver Müller 001 (HICSS, 2023)

Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach. - Raphael Reimann; Matthew Caron (Wirtschaftsinformatik, 2023)

Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. - Peter Dieter; Matthew Caron; Guido Schryen (Eur. J. Oper. Res., 2023)