Mathias Kraus

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 51

Top Topics

Generalized Additive

Top Venues

Decis. Support Syst.

Eur. J. Oper. Res.

Publications

Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR (2024)
Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz
Explainable AI for enhanced decision-making. Decis. Support Syst. 184 (2024)
Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manuf. Serv. Oper. Manag. 26 (1) (2024)
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. ACL (1) (2024)
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. Trans. Mach. Learn. Res. 2024 (2024)
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. CoRR (2024)
Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS (2024)
Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight. CoRR (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. CoRR (2024)
Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech
Interpretable generalized additive neural networks. Eur. J. Oper. Res. 317 (2) (2024)
Tobias Schimanski, Julia Anna Bingler, Mathias Kraus, Camilla Hyslop, Markus Leippold
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. EMNLP (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. CoRR (2023)
Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione, Jingwei Ni, Mathias Kraus, Julia Anna Bingler, Tobias Schimanski, Chiara Colesanti Senni, Nicolas Webersinke, Christian Huggel, Markus Leippold
chatIPCC: Grounding Conversational AI in Climate Science. CoRR (2023)
Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke
Enhancing Large Language Models with Climate Resources. CoRR (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool. CoRR (2023)
Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold
Environmental Claim Detection. ACL (2) (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. EMNLP (Demos) (2023)
Nilmini Wickramasinghe, Nalika Ulapane, Amirhossein Eslami Andargoli, Jan Miltner, Jule van de Logt, Mathias Kraus, Freimut Bodendorf
A Suggested Blockchain Architecture for Healthcare Data Sharing. AMCIS (2023)
Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II. CoRR (2023)
Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS (2023)
Justus Zipfel, Felix Verworner, Marco Fischer, Uwe Wieland, Mathias Kraus, Patrick Zschech
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models. Comput. Ind. Eng. 177 (2023)
Tobias Schimanski, Julia Anna Bingler, Camilla Hyslop, Mathias Kraus, Markus Leippold
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. CoRR (2023)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS (2022)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. CoRR (2022)
Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. CoRR (2022)
Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold
A Dataset for Detecting Real-World Environmental Claims. CoRR (2022)
Daniel Hershcovich, Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
Towards Climate Awareness in NLP Research. EMNLP (2022)
Daniel Hershcovich, Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
Towards Climate Awareness in NLP Research. CoRR (2022)
Maximilian V. Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. Wirtschaftsinformatik (2022)
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. CoRR (2021)
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD (2021)
Basil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger
Modeling longitudinal dynamics of comorbidities. CHIL (2021)
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
ClimateBert: A Pretrained Language Model for Climate-Related Text. CoRR (2021)
Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
Deep learning in business analytics and operations research: Models, applications and managerial implications. Eur. J. Oper. Res. 281 (3) (2020)
Francesco Ducci, Mathias Kraus, Stefan Feuerriegel
Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. KDD (2020)
Martin Maritsch, Simon Föll, Vera Lehmann, Caterina Bérubé, Mathias Kraus, Stefan Feuerriegel, Tobias Kowatsch, Thomas Züger, Christoph Stettler, Elgar Fleisch, Felix Wortmann
Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes. CHI Extended Abstracts (2020)
Mathias Kraus, Stefan Feuerriegel
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. CoRR (2019)
Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann
Improving heart rate variability measurements from consumer smartwatches with machine learning. UbiComp/ISWC Adjunct (2019)
Hergen Wolf, Rafael Lorenz, Mathias Kraus, Stefan Feuerriegel, Torbjørn H. Netland
Bringing Advanced Analytics to Manufacturing: A Systematic Mapping. APMS (1) (2019)
Mathias Kraus, Stefan Feuerriegel
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. CoRR (2019)
Mathias Kraus, Stefan Feuerriegel
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. KDD (2019)
Mathias Kraus, Stefan Feuerriegel
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. Expert Syst. Appl. 118 (2019)
Mathias Kraus, Stefan Feuerriegel
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. Decis. Support Syst. 125 (2019)
Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning. CoRR (2019)
Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
Deep learning in business analytics and operations research: Models, applications and managerial implications. CoRR (2018)
Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger
Decision support with text-based emotion recognition: Deep learning for affective computing. CoRR (2018)
Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger
Deep learning for affective computing: Text-based emotion recognition in decision support. Decis. Support Syst. 115 (2018)
Mathias Kraus, Stefan Feuerriegel
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. CoRR (2017)
Mathias Kraus, Stefan Feuerriegel
Decision support from financial disclosures with deep neural networks and transfer learning. Decis. Support Syst. 104 (2017)
Mathias Kraus, Stefan Feuerriegel
Decision support from financial disclosures with deep neural networks and transfer learning. CoRR (2017)