Bernhard Lutz
Orcid: 0000-0003-2562-6344
According to our database1,
Bernhard Lutz
authored at least 20 papers
between 2016 and 2024.
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Bibliography
2024
Eur. J. Inf. Syst., September, 2024
Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing.
Proc. ACM Hum. Comput. Interact., 2024
Cross validation based transfer learning for cross-sectional non-linear shrinkage: A data-driven approach in portfolio optimization.
Eur. J. Oper. Res., 2024
2023
Utilizing the omnipresent: Incorporating digital documents into predictive process monitoring using deep neural networks.
Decis. Support Syst., December, 2023
Automated real estate valuation with machine learning models using property descriptions.
Expert Syst. Appl., 2023
When machines trade on corporate disclosures: Using text analytics for investment strategies.
Decis. Support Syst., 2023
2022
Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles.
OR Spectr., 2022
Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning.
Eur. J. Oper. Res., 2022
Information Overload in Processing Consumer Reviews: The Role of Argumentation Changes.
Proceedings of the WI for Grand Challenges, 2022
2021
Solving the mixed model sequencing problem with reinforcement learning and metaheuristics.
Comput. Ind. Eng., 2021
2020
Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations.
Inf. Sci., 2020
Predicting sentence-level polarity labels of financial news using abnormal stock returns.
Expert Syst. Appl., 2020
Electron. Mark., 2020
2019
The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews.
Proceedings of the 40th International Conference on Information Systems, 2019
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
How Sentiment Impacts the Success of Blockchain Startups - An Analysis of Social Media Data and Initial Coin Offerings.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
2018
Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective.
Proceedings of the International Conference on Information Systems, 2018
A sentiment analysis-based machine learning approach for financial market prediction via news disclosures.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews.
Proceedings of the Australasian Conference on Information Systems, 2017
2016
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016