Search Results - "Kraus, Mathias"

Deep learning for affective computing: Text-based emotion recognition in decision support by Kratzwald, Bernhard, Ilić, Suzana, Kraus, Mathias, Feuerriegel, Stefan, Prendinger, Helmut

“…Emotions widely affect human decision-making. This fact is taken into account by affective computing with the goal of tailoring decision support to the…”
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Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures by Bingler, Julia Anna, Kraus, Mathias, Leippold, Markus, Webersinke, Nicolas

“…Disclosure of climate-related financial risks greatly helps investors assess companies’ preparedness for climate change. Voluntary disclosures such as those…”
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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study by Schallmoser, Simon, Zueger, Thomas, Kraus, Mathias, Saar-Tsechansky, Maytal, Stettler, Christoph, Feuerriegel, Stefan

“…Micro- and macrovascular complications are a major burden for individuals with diabetes and can already arise in a prediabetic state. To allocate effective…”
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ChatClimate: Grounding conversational AI in climate science by Vaghefi, Saeid Ashraf, Stammbach, Dominik, Muccione, Veruska, Bingler, Julia, Ni, Jingwei, Kraus, Mathias, Allen, Simon, Colesanti-Senni, Chiara, Wekhof, Tobias, Schimanski, Tobias, Gostlow, Glen, Yu, Tingyu, Wang, Qian, Webersinke, Nicolas, Huggel, Christian, Leippold, Markus

“…Abstract Large Language Models have made remarkable progress in question-answering tasks, but challenges like hallucination and outdated information persist…”
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Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving by Bérubé, Caterina, Maritsch, Martin, Lehmann, Vera Franziska, Kraus, Mathias, Feuerriegel, Stefan, Züger, Thomas, Wortmann, Felix, Stettler, Christoph, Fleisch, Elgar, Kocaballi, A Baki, Kowatsch, Tobias

“…Hypoglycemia threatens cognitive function and driving safety. Previous research investigated in-vehicle voice assistants as hypoglycemia warnings. However,…”
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Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial by Bérubé, Caterina, Lehmann, Vera Franziska, Maritsch, Martin, Kraus, Mathias, Feuerriegel, Stefan, Wortmann, Felix, Züger, Thomas, Stettler, Christoph, Fleisch, Elgar, Kocaballi, A Baki, Kowatsch, Tobias

“…Hypoglycemia is a frequent and acute complication in type 1 diabetes mellitus (T1DM) and is associated with a higher risk of car mishaps. Currently,…”
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Decision support from financial disclosures with deep neural networks and transfer learning by Kraus, Mathias, Feuerriegel, Stefan

“…Company disclosures greatly aid in the process of financial decision-making; therefore, they are consulted by financial investors and automated traders before…”
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Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences by Kraus, Mathias, Feuerriegel, Stefan

“…Predicting the remaining useful life of machinery, infrastructure, or other equipment can facilitate preemptive maintenance decisions, whereby a failure is…”
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Deep learning in business analytics and operations research: Models, applications and managerial implications by Kraus, Mathias, Feuerriegel, Stefan, Oztekin, Asil

“…•Deep learning has found little adoption in OR and business analytics.•This article provides a mathematical overview of deep neural networks.•We propose a…”
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Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees by Kraus, Mathias, Feuerriegel, Stefan

“…•Improves sentiment analysis with discourse trees from rhetoric structure theory.•Extracts salient passages based on the position and relation in the discourse…”
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Interpretable generalized additive neural networks by Kraus, Mathias, Tschernutter, Daniel, Weinzierl, Sven, Zschech, Patrick

“…•We introduce a new ML model IGANN for high performance & interpretability.•We propose an efficient training algorithm with extreme learning machines.•Our…”
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How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk by Bingler, Julia Anna, Kraus, Mathias, Leippold, Markus, Webersinke, Nicolas

“…Navigating the complex landscape of corporate climate disclosures and their real impacts is crucial for managing climate-related financial risks. However,…”
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Leveraging interpretable machine learning in intensive care by Bohlen, Lasse, Rosenberger, Julian, Zschech, Patrick, Kraus, Mathias

“…Abstract In healthcare, especially within intensive care units (ICU), informed decision-making by medical professionals is crucial due to the complexity of…”
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Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models by Zipfel, Justus, Verworner, Felix, Fischer, Marco, Wieland, Uwe, Kraus, Mathias, Zschech, Patrick

“…Across many industries, visual quality assurance has transitioned from a manual, labor-intensive, and error-prone task to a fully automated and precise…”
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Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy by Keller, Gabriel, Rachunek, Katarzyna, Springer, Fabian, Kraus, Mathias

“…Purpose Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent cause of degenerative wrist arthritis. A newly developed deep…”
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A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis by Zilker, Sandra, Weinzierl, Sven, Kraus, Mathias, Zschech, Patrick, Matzner, Martin

“…Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine…”
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Explainable AI for enhanced decision-making by Coussement, Kristof, Abedin, Mohammad Zoynul, Kraus, Mathias, Maldonado, Sebastián, Topuz, Kazim

“…This paper contextualizes explainable artificial intelligence (AI) for enhanced decision-making and serves as an editorial for the corresponding special issue…”
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Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data by Lehmann, Vera, Föll, Simon, Maritsch, Martin, van Weenen, Eva, Kraus, Mathias, Lagger, Sophie, Odermatt, Katja, Albrecht, Caroline, Fleisch, Elgar, Zueger, Thomas, Wortmann, Felix, Stettler, Christoph

“…To develop a noninvasive hypoglycemia detection approach using smartwatch data. We prospectively collected data from two wrist-worn wearables…”
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Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes by Zueger, Thomas, Schallmoser, Simon, Kraus, Mathias, Saar-Tsechansky, Maytal, Feuerriegel, Stefan, Stettler, Christoph

“…Traditional risk scores for the prediction of type 2 diabetes (T2D) are typically designed for a general population and, thus, may underperform for people with…”
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Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda by De Bock, Koen W., Coussement, Kristof, Caigny, Arno De, Słowiński, Roman, Baesens, Bart, Boute, Robert N., Choi, Tsan-Ming, Delen, Dursun, Kraus, Mathias, Lessmann, Stefan, Maldonado, Sebastián, Martens, David, Óskarsdóttir, María, Vairetti, Carla, Verbeke, Wouter, Weber, Richard

“…•We define and characterize Explainable AI for Operational Research (XAIOR).•3 subdimensions of XAIOR are performance, attributable, and responsible…”
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