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Matthew Caron
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2020 – today
- 2023
- [j1]Peter Dieter, Matthew Caron, Guido Schryen:
Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. Eur. J. Oper. Res. 311(1): 283-300 (2023) - [c9]Haya Halimeh, Matthew Caron, Oliver Müller:
Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. HICSS 2023: 3377-3386 - [c8]Raphael Reimann, Matthew Caron:
Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach. Wirtschaftsinformatik 2023: 100 - 2022
- [c7]Matthew Caron, Christian Bartelheimer, Oliver Müller:
Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation. AMCIS 2022 - [c6]Matthew Caron:
Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. IEEE Big Data 2022: 3486-3495 - [c5]Matthew Caron, Frederik Simon Bäumer, Oliver Müller:
Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. HICSS 2022: 1-10 - 2021
- [c4]Matthew Caron, Maryna Gulenko, Oliver Müller:
To the Moon! Analyzing the Community of "Degenerates" Engaged in the Surge of the GME Stock. ICIS 2021 - [c3]Oliver Müller, Matthew Caron, Michael Döring, Tim Heuwinkel, Jochen Baumeister:
PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data. MLSA@PKDD/ECML 2021: 116-128 - 2020
- [c2]Matthew Caron, Oliver Müller:
Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. IEEE BigData 2020: 4383-4391
2010 – 2019
- 2018
- [c1]Matthew Caron, Frederik Simon Bäumer, Michaela Geierhos:
Back to Basics: Extracting Software Requirements with a Syntactic Approach. REFSQ Workshops 2018
Coauthor Index
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