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Höcker, Birte ; Koch, Ina ; Hennig, Janosch:
The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design.
In: Biological Chemistry. (30 September 2025) .
DOI: https://doi.org/10.1515/hsz-2025-0184

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Holstein, Joshua ; Böcking, Lars ; Spitzer, Philipp ; Kühl, Niklas ; Vössing, Michael ; Satzger, Gerhard:
Balancing the Unknown: Exploring Human Reliance on AI Advice Under Aleatoric and Epistemic Uncertainty.
In: ACM Transactions on Computer-Human Interaction. (26 August 2025) .
DOI: https://doi.org/10.1145/3762813

Schmitz, Oliver ; de Hoogh, Kees ; Probst-Hensch, Nicole ; Jeong, Ayoung ; Flückiger, Benjamin ; Lu, Meng ; Ndiaye, Aisha ; Vienneau, Danielle ; Hoek, Gerard ; Kyriakou, Kalliopi ; Vermeulen, Roel C. H. ; Karssenberg, Derek:
A computational framework for agent-based assessment of multiple environmental exposures.
In: Journal of Exposure Science & Environmental Epidemiology. (2 August 2025) .
DOI: https://doi.org/10.1038/s41370-025-00799-7

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Hemmer, Patrick ; Schemmer, Max ; Kühl, Niklas ; Vössing, Michael ; Satzger, Gerhard:
Complementarity in Human-AI Collaboration : Concept, Sources, and Evidence.
In: European Journal of Information Systems. (August 2025) .
DOI: https://doi.org/10.1080/0960085X.2025.2475962

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Marschall, Roland ; Schumacher, Lion ; Strunk, Jennifer:
Shedding Light on Common Misinterpretations in Photocatalyst Characterization.
In: Advanced Energy Materials. (29 Juni 2025) . - 2501192.
DOI: https://doi.org/10.1002/aenm.202501192

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Martin, Dominik ; Heinz, Daniel ; Glauner, Moritz ; Kühl, Niklas:
Selecting Data Assets in Data Marketplaces : Leveraging Machine Learning and Explainable AI for Value Quantification.
In: Business & Information Systems Engineering. (2 Juni 2025) .
DOI: https://doi.org/10.1007/s12599-025-00940-8

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Yao, Yuxuan ; Han, Dan ; Spooner, Kieran B. ; Jia, Xiaoyu ; Ebert, Hubert ; Scanlon, David O. ; Oberhofer, Harald:
Adapting Explainable Machine Learning to Study Mechanical Properties of 2D Hybrid Halide Perovskites.
In: Advanced Functional Materials. Bd. 35 (2025) Heft 1 . - 2411652.
DOI: https://doi.org/10.1002/adfm.202411652

Schoeffer, Jakob ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Satzger, Gerhard:
AI Reliance and Decision Quality : Fundamentals, Interdependence, and the Effects of Interventions.
In: Journal of Artificial Intelligence Research. Bd. 82 (2025) . - S. 471-501.
DOI: https://doi.org/10.1613/jair.1.15873

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Ganti, Subhash V. S. ; Wölfel, Lukas ; Künneth, Christopher:
AI-Driven Discovery of High Performance Polymer Electrodes for Next-Generation Batteries.
In: Journal of Polymer Science. Bd. 63 (2025) Heft 21 . - S. 4631-4639.
DOI: https://doi.org/10.1002/pol.20250198

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Jendrusch, Michael A. ; Yang, Alessio L. J. ; Cacace, Elisabetta ; Bobonis, Jacob ; Voogdt, Carlos G. P. ; Kaspar, Sarah ; Schweimer, Kristian ; Perez-Borrajero, Cecilia ; Lapouge, Karine ; Scheurich, Jacob ; Remans, Kim ; Hennig, Janosch ; Typas, Athanasios ; Korbel, Jan O. ; Sadiq, S. Kashif:
AlphaDesign: a de novo protein design framework based on AlphaFold.
In: Molecular Systems Biology. (2025) .
DOI: https://doi.org/10.1038/s44320-025-00119-z

Braun, Sebastian Till ; Rad, Soroush Rafiee ; Roy, Olivier:
Anchoring as a Structural Bias of Deliberation.
In: Erkenntnis. Bd. 90 (2025) . - S. 2879-2907.
DOI: https://doi.org/10.1007/s10670-024-00814-7

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Gönnheimer, Nils ; Reuter, Karsten ; Margraf, Johannes T.:
Beyond Numerical Hessians : Higher-Order Derivatives for Machine Learning Interatomic Potentials via Automatic Differentiation.
In: Journal of Chemical Theory and Computation. Bd. 21 (2025) Heft 9 . - S. 4742-4752.
DOI: https://doi.org/10.1021/acs.jctc.4c01790

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Zetzsche, Felix ; Andrews, Robert ; ter Hofstede, Arthur H. M. ; Röglinger, Maximilian ; Schmid, Sebastian Johannes ; Wynn, Moe Thandar:
Case ID Revealed HERE: Hybrid Elusive Case Repair Method for Transformer-Driven Business Process Event Log Enhancement.
In: Business & Information Systems Engineering. Bd. 67 (2025) . - S. 311-337.
DOI: https://doi.org/10.1007/s12599-025-00935-5

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Boersma, Foeke ; Lu, Meng:
A close look at using national ground stations for the statistical modeling of NO2.
In: Geoscientific Model Development. Bd. 18 (2025) Heft 19 . - S. 6717-6735.
DOI: https://doi.org/10.15495/EPub_UBT_00008609

Polzin, Robert M. ; Klebanov, Ilja ; Nüsken, Nikolas ; Koltai, Peter:
Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation.
In: Journal of Nonlinear Science. Bd. 35 (2025) . - 2.
DOI: https://doi.org/10.1007/s00332-024-10091-x

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Poltavsky, Igor ; Charkin-Gorbulin, Anton ; Puleva, Mirela ; Fonseca, Grégory ; Batatia, Ilyes ; Browning, Nicholas J. ; Chmiela, Stefan ; Cui, Mengnan ; Frank, J. Thorben ; Heinen, Stefan ; Huang, Bing ; Käser, Silvan ; Kabylda, Adil ; Khan, Danish ; Müller, Carolin ; Price, Alastair J. A. ; Riedmiller, Kai ; Töpfer, Kai ; Ko, Tsz Wai ; Meuwly, Markus ; Rupp, Matthias ; Csányi, Gábor ; von Lilienfeld, O. Anatole ; Margraf, Johannes T. ; Müller, Klaus-Robert ; Tkatchenko, Alexandre:
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023.
In: Chemical Science. Bd. 16 (2025) . - S. 3720-3737.
DOI: https://doi.org/10.1039/D4SC06529H

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Poltavsky, Igor ; Puleva, Mirela ; Charkin-Gorbulin, Anton ; Fonseca, Grégory ; Batatia, Ilyes ; Browning, Nicholas J. ; Chmiela, Stefan ; Cui, Mengnan ; Frank, J. Thorben ; Heinen, Stefan ; Huang, Bing ; Käser, Silvan ; Kabylda, Adil ; Khan, Danish ; Müller, Carolin ; Price, Alastair J. A. ; Riedmiller, Kai ; Töpfer, Kai ; Ko, Tsz Wai ; Meuwly, Markus ; Rupp, Matthias ; Csányi, Gábor ; von Lilienfeld, O. Anatole ; Margraf, Johannes T. ; Müller, Klaus-Robert ; Tkatchenko, Alexandre:
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023.
In: Chemical Science. Bd. 16 (2025) . - S. 3738-3754.
DOI: https://doi.org/10.1039/D4SC06530A

Müller, Leopold ; Schwarz, Nina ; Böcking, Lars ; Bereczuk, Andreas ; Stagge, Hanno ; Kratsch, Wolfgang ; Kühl, Niklas:
Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements.
In: IEEE Access. Bd. 13 (2025) . - S. 135301-135315.
DOI: https://doi.org/10.1109/ACCESS.2025.3591739

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Bold, Lea ; Grüne, Lars ; Schaller, Manuel ; Worthmann, Karl:
Data-driven MPC with stability guarantees using extended dynamic mode decomposition.
In: IEEE Transactions on Automatic Control. Bd. 70 (2025) Heft 1 . - S. 534-541.
DOI: https://doi.org/10.1109/TAC.2024.3431169

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Vahrenbrink, Madita ; Coleman, C. D. ; Kuipers, Sonja ; Lurje, I. ; Hammerich, L. ; Kunkel, D. ; Keye, J. ; Dittrich, Stephan ; Schjeide, Brit-Maren ; Hiß, R. ; Müller, Jörg ; Püschel, Gerhard P. ; Henkel, Janin:
Dynamic changes in macrophage populations and resulting alterations in Prostaglandin E₂ sensitivity in mice with diet-induced MASH.
In: Cell Communication and Signaling. Bd. 23 (2025) Heft 1 . - 227.
DOI: https://doi.org/10.1186/s12964-025-02222-y

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Hirt, Robin ; Kühl, Niklas ; Martin, Dominik ; Satzger, Gerhard:
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning.
In: Information Technology & Management. Bd. 26 (2025) . - S. 57-81.
DOI: https://doi.org/10.1007/s10799-023-00399-7

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Spitzer, Philipp ; Morrison, Katelyn ; Turri, Violet ; Feng, Michelle ; Perer, Adam ; Kühl, Niklas:
Imperfections of XAI: Phenomena Influencing AI-Assisted Decision-Making.
In: ACM Transactions on Interactive Intelligent Systems. Bd. 15 (2025) Heft 3 .
DOI: https://doi.org/10.1145/3750052

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Jakob, Konstantin S. ; Walsh, Aron ; Reuter, Karsten ; Margraf, Johannes T.:
Learning Crystallographic Disorder : Bridging Prediction and Experiment in Materials Discovery.
In: Advanced Materials. (2025) . - e14226.
DOI: https://doi.org/10.1002/adma.202514226

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Strothmann, Robert ; Amanpur, Mehran ; Neveselý, Tomáš ; Hecht, Stefan ; Reuter, Karsten ; Margraf, Johannes T.:
Machine learning driven design of spiropyran photoswitches.
In: Digital Discovery. Bd. 4 (2025) . - S. 3098-3108.
DOI: https://doi.org/10.1039/D5DD00327J

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Cui, Mengnan ; Reuter, Karsten ; Margraf, Johannes T.:
Multi-fidelity transfer learning for quantum chemical data using a robust density functional tight binding baseline.
In: Machine Learning: Science and Technology. Bd. 6 (2025) . - 015071.
DOI: https://doi.org/10.1088/2632-2153/adc222

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Sperl, Mario ; Mysliwitz, Jonas ; Grüne, Lars:
On the existence and neural network representation of separable control Lyapunov functions.
In: Automatica. Bd. 182 (2025) . - 112517.
DOI: https://doi.org/10.1016/j.automatica.2025.112517

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Vondrák, Martin ; Reuter, Karsten ; Margraf, Johannes T.:
Pushing charge equilibration-based machine learning potentials to their limits.
In: npj Computational Materials. Bd. 11 (2025) Heft 1 . - 288.
DOI: https://doi.org/10.1038/s41524-025-01791-3

Spatan, Sergiu ; Rich, Patricia:
The Role of Strong Ties in Holding (and Avoiding) Bad Beliefs.
In: Topoi. Bd. 44 (2025) . - S. 659-674.
DOI: https://doi.org/10.1007/s11245-025-10190-8

Hennig, Janosch:
Structural biology of RNA and protein-RNA complexes after AlphaFold3.
In: ChemBioChem. Bd. 26 (2025) Heft 7 . - e202401047.
DOI: https://doi.org/10.1002/cbic.202401047

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Fechner, Pascal ; Lämmermann, Luis ; Lockl, Jannik ; Röglinger, Maximilian ; Urbach, Nils:
Toward Triadic Delegation : How Agentic IS Artifacts Affect the Patient-Doctor Relationship in Healthcare.
In: Journal of the Association for Information Systems. Bd. 26 (2025) Heft 6 . - S. 1703-1736.
DOI: https://doi.org/10.17705/1jais.00954

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Jakob, Konstantin S. ; Reuter, Karsten ; Margraf, Johannes T.:
Universally Accurate or Specifically Inadequate? Stress-Testing General Purpose Machine Learning Interatomic Potentials.
In: Advanced Intelligent Discovery. (2025) . - 202500031.
DOI: https://doi.org/10.1002/aidi.202500031

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Berger, Alexander ; Theis, Maximilian ; von Wedel, Henrike ; Rößler, Tamino ; Papastavrou, Georg ; Senker, Jürgen ; Retsch, Markus:
A versatile method for facile and reliable synthesis of colloidal particles with a size and composition gradient.
In: Colloid and Polymer Science. Bd. 303 (2025) . - S. 1801-1814.
DOI: https://doi.org/10.1007/s00396-024-05282-7

Maradesa, Adeleke ; Py, Baptiste ; Huang, Jake ; Lu, Yang ; Iurilli, Pietro ; Mrozinski, Aleksander ; Law, Ho Mei ; Wang, Yuhao ; Wang, Zilong ; Li, Jingwei ; Xu, Shengjun ; Meyer, Quentin ; Liu, Jiapeng ; Brivio, Claudio ; Gavrilyuk, Alexander ; Kobayashi, Kiyoshi ; Bertei, Antonio ; Williams, Nicholas J. ; Zhao, Chuan ; Danzer, Michael A. ; Zic, Mark ; Wu, Phillip ; Yrjänä, Ville ; Pereverzyev, Sergei ; Chen, Yuhui ; Weber, André ; Kalinin, Sergei V. ; Schmidt, Jan Philipp ; Tsur, Yoed ; Boukamp, Bernard A. ; Zhang, Qiang ; Gaberšček, Miran ; O’Hayre, Ryan ; Ciucci, Francesco:
Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method.
In: Joule. Bd. 8 (2024) Heft 7 . - S. 1958-1981.
DOI: https://doi.org/10.1016/j.joule.2024.05.008

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Draxler, Fiona ; Werner, Anna ; Lehmann, Florian ; Hoppe, Matthias ; Schmidt, Albrecht ; Buschek, Daniel ; Welsch, Robin:
The AI Ghostwriter Effect : When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors.
In: ACM Transactions on Computer-Human Interaction. Bd. 31 (2024) Heft 2 . - 25.
DOI: https://doi.org/10.1145/3637875

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Speith, Timo ; Crook, Barnaby ; Mann, Sara ; Schomäcker, Astrid ; Langer, Markus:
Conceptualizing understanding in explainable artificial intelligence (XAI) : an abilities-based approach.
In: Ethics and Information Technology. Bd. 26 (2024) Heft 2 . - 40.
DOI: https://doi.org/10.1007/s10676-024-09769-3

Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Walk, Jannis ; Satzger, Gerhard:
Data-centric artificial intelligence.
In: Business & Information Systems Engineering. Bd. 66 (2024) . - S. 507-515.
DOI: https://doi.org/10.1007/s12599-024-00857-8

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Xiong, Felix ; Kühl, Niklas ; Stauder, Maximilian:
Designing a computer-vision-based artifact for automated quality control : a case study in the food industry.
In: Flexible Services and Manufacturing Journal. Bd. 36 (2024) . - S. 1422-1449.
DOI: https://doi.org/10.1007/s10696-023-09523-9

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Yao, Yuxuan ; Oberhofer, Harald:
Designing building blocks of covalent organic frameworks through on-the-fly batch-based Bayesian optimization.
In: The Journal of Chemical Physics. Bd. 161 (2024) Heft 7 . - 074102.
DOI: https://doi.org/10.1063/5.0223540

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Albuquerque, Rodrigo Q. ; Rothenhäusler, Florian ; Ruckdäschel, Holger:
Designing formulations of bio-based, multicomponent epoxy resin systems via machine learning.
In: MRS Bulletin. Bd. 49 (2024) . - S. 59-70.
DOI: https://doi.org/10.1557/s43577-023-00504-9

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Pracht, Philipp ; Pillai, Yuthika ; Kapil, Venkat ; Csányi, Gábor ; Gönnheimer, Nils ; Vondrák, Martin ; Margraf, Johannes T. ; Wales, David J.:
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials.
In: Journal of Chemical Theory and Computation. Bd. 20 (2024) Heft 24 . - S. 10986-11004.
DOI: https://doi.org/10.1021/acs.jctc.4c01157

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Longo, Luca ; Brčić, Mario ; Cabitza, Federico ; Choi, Jaesik ; Confalonieri, Roberto ; Del Ser, Javier ; Guidotti, Riccardo ; Hayashi, Yoichi ; Herrera, Francisco ; Holzinger, Andreas ; Jiang, Richard ; Khosravi, Hassan ; Lecue, Freddy ; Malgieri, Gianclaudio ; Páez, Andrés ; Samek, Wojciech ; Schneider, Johannes ; Speith, Timo ; Stumpf, Simone:
Explainable Artificial Intelligence (XAI) 2.0 : A Manifesto of Open Challenges and Interdisciplinary Research Directions.
In: Information Fusion. Bd. 106 (2024) . - 102301.
DOI: https://doi.org/10.1016/j.inffus.2024.102301

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Kästner, Lena ; Crook, Barnaby:
Explaining AI through mechanistic interpretability.
In: European Journal for Philosophy of Science. Bd. 14 (2024) Heft 4 . - 52.
DOI: https://doi.org/10.1007/s13194-024-00614-4

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Bartelmeß, Tina ; Schönfeld, Mirco ; Pfeffer, Jürgen:
Exploring Food Poverty Experiences in the German Twitter-Sphere.
In: BMC Public Health. Bd. 24 (2024) . - 1398.
DOI: https://doi.org/10.1186/s12889-024-18926-8

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Albrecht, Tobias ; Keller, Robert ; Rebholz, Dominik ; Röglinger, Maximilian:
Fake It Till You Make It : Synthetic Data for Emerging Carsharing Programs.
In: Transportation Research Part D: Transport and Environment. Bd. 127 (2024) . - 104067.
DOI: https://doi.org/10.1016/j.trd.2024.104067

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Fechner, Pascal ; König, Fabian ; Lockl, Jannik ; Röglinger, Maximilian:
How Artificial Intelligence Challenges Tailorable Technology Design : Insights from a Design Study on Individualized Bladder Monitoring.
In: Business & Information Systems Engineering. Bd. 66 (2024) Heft 3 . - S. 357-376.
DOI: https://doi.org/10.1007/s12599-024-00872-9

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Kühl, Niklas:
Human-Centric Artificial Intelligence: The Road Ahead.
In: transfer : Zeitschrift für Kommunikation und Markenmanagement. Bd. 70 (2024) Heft 4 . - S. 6-9.

Morrison, Katelyn ; Spitzer, Philipp ; Turri, Violet ; Feng, Michelle ; Kühl, Niklas ; Perer, Adam:
The Impact of Imperfect XAI on Human-AI Decision-Making.
In: Proceedings of the ACM on Human-Computer Interaction. Bd. 8 (2024) . - 183.
DOI: https://doi.org/10.1145/3641022

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Koltai, Peter ; Kunde, Philipp:
A Koopman-Takens theorem : Linear least squares prediction of nonlinear time series.
In: Communications in Mathematical Physics. Bd. 405 (2024) . - 120.
DOI: https://doi.org/10.1007/s00220-024-05004-8

Lücke, Marvin ; Winkelmann, Stefanie ; Heitzig, Jobst ; Molkenthin, Nora ; Koltai, Peter:
Learning interpretable collective variables for spreading processes on networks.
In: Physical Review E. Bd. 109 (2024) Heft 2 . - L022301.
DOI: https://doi.org/10.1103/PhysRevE.109.L022301

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Shah, Karim Ali ; Brütting, Christian ; Albuquerque, Rodrigo Q. ; Ruckdäschel, Holger:
Machine learning investigation of polylactic acid bead foam extrusion.
In: Journal of Applied Polymer Science. Bd. 141 (2024) Heft 30 . - e55693.
DOI: https://doi.org/10.1002/app.55693

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Shah, Karim Ali ; Albuquerque, Rodrigo Q. ; Brütting, Christian ; Ruckdäschel, Holger:
Machine learning-based time series analysis of polylactic acid bead foam extrusion.
In: Journal of Applied Polymer Science. Bd. 141 (2024) Heft 44 . - e56170.
DOI: https://doi.org/10.1002/app.56170

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Bauriedel, Niklas ; Albuquerque, Rodrigo Q. ; Utz, Julia ; Geis, Nico ; Ruckdäschel, Holger:
Monitoring of fused filament fabrication (FFF) : An infrared imaging and machine learning approach.
In: Journal of Polymer Science. Bd. 62 (2024) Heft 24 . - S. 5633-5641.
DOI: https://doi.org/10.1002/pol.20240586

Rich, Patricia ; Genot, Emmanuel:
Mutual Expected Rationality in Online Sharing : An Agent-Based Model Study.
In: Topoi. Bd. 43 (2024) Heft 5 . - S. 1405-1419.
DOI: https://doi.org/10.1007/s11245-024-10069-0

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Krüger, Markus ; Lamann-Glees, Alexandra ; Sebastian, Sean S. ; Siegel, Renée ; Senker, Jürgen ; Hempelmann, Jan ; Dronskowski, Richard ; Ruschewitz, Uwe:
Na₂C₃O₂ : The First Crystalline Compound with the Elusive ⁻C≡C−COO⁻ Anion.
In: Angewandte Chemie International Edition. Bd. 63 (2024) Heft 22 . - e202402978.
DOI: https://doi.org/10.1002/anie.202402978

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Margraf, Johannes T.:
Neural graph distance embedding for molecular geometry generation.
In: Journal of Computational Chemistry. Bd. 45 (2024) Heft 21 . - S. 1784-1790.
DOI: https://doi.org/10.1002/jcc.27349

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Maradesa, Adeleke ; Py, Baptiste ; Ciucci, Francesco:
Probabilistic deconvolution of the distribution of relaxation times from multiple electrochemical impedance spectra.
In: Journal of Power Sources. Bd. 621 (2024) . - 235236.
DOI: https://doi.org/10.1016/j.jpowsour.2024.235236

van Rooij, Iris ; Guest, Olivia ; Adolfi, Federico ; de Haan, Ronald ; Kolokolova, Antonina ; Rich, Patricia:
Reclaiming AI as a theoretical tool for cognitive science.
In: Computational Brain & Behavior. Bd. 7 (2024) Heft 4 . - S. 616-636.
DOI: https://doi.org/10.1007/s42113-024-00217-5

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Rothenhäusler, Florian ; Ruckdäschel, Holger:
Strategies for the fast optimization of the glass transition temperature of sustainable epoxy resin systems via machine learning.
In: Journal of Applied Polymer Science. Bd. 141 (2024) Heft 21 . - e55422.
DOI: https://doi.org/10.1002/app.55422

Bode, Jan ; Kühl, Niklas ; Kreuzberger, Dominik ; Holtmann, Carsten:
Towards Avoiding the Data Mess : Industry Insights from Data Mesh Implementations.
In: IEEE Access. Bd. 12 (2024) . - S. 95402-95416.
DOI: https://doi.org/10.1109/ACCESS.2024.3417291

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Eckhard, Steffen ; Patz, Ronny ; Schönfeld, Mirco ; van Meegdenburg, Hilde:
International bureaucrats in the UN Security Council debates : A speaker-topic network analysis.
In: Journal of European Public Policy. Bd. 30 (2023) Heft 2 . - S. 214-233.
DOI: https://doi.org/10.1080/13501763.2021.1998194

Bittracher, Andreas ; Mollenhauer, Mattes ; Koltai, Peter ; Schütte, Christof:
Optimal reaction coordinates : Variational characterization and sparse computation.
In: Multiscale Modeling & Simulation. Bd. 21 (2023) Heft 2 . - S. 449-488.
DOI: https://doi.org/10.1137/21M1448367

van Dun, Christopher ; Moder, Linda ; Kratsch, Wolfgang ; Röglinger, Maximilian:
ProcessGAN : Supporting the creation of business process improvement ideas through generative machine learning.
In: Decision Support Systems. Bd. 165 (2023) . - 113880.
DOI: https://doi.org/10.1016/j.dss.2022.113880

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Leiske, Meike N. ; Künneth, Christopher ; De Breuck, Jonas ; De Geest, Bruno G. ; Hoogenboom, Richard:
Amphiphilic Zwitterionic Bioderived Block Copolymers from Glutamic Acid and Cholesterol : Ability to Form Nanoparticles and Serve as Vectors for the Delivery of 6-Mercaptopurine.
In: Macromolecular Chemistry and Physics. Bd. 224 (2023) Heft 24 . - 2300200.
DOI: https://doi.org/10.1002/macp.202300200

Walk, Jannis ; Kühl, Niklas ; Saidani, Michael ; Schatte, Jürgen:
Artificial intelligence for sustainability : Facilitating sustainable smart product-service systems with computer vision.
In: Journal of Cleaner Production. Bd. 402 (2023) . - 136748.
DOI: https://doi.org/10.1016/j.jclepro.2023.136748

Dumler, Jonas ; Faatz, Stephan ; Friedrich, Markus ; Döpper, Frank:
Automatic time series segmentation and clustering for process monitoring in series production.
In: Procedia CIRP. Bd. 118 (2023) . - S. 602-607.
DOI: https://doi.org/10.1016/j.procir.2023.06.103

Marx, Alexander ; Di Stefano, Francesco ; Leutheuser, Heike ; Chin-Cheong, Kieran ; Pfister, Marc ; Burckhardt, Marie-Anne ; Bachmann, Sara ; Vogt, Julia E.:
Blood glucose forecasting from temporal and static information in children with T1D.
In: Frontiers in Pediatrics. Bd. 11 (2023) .
DOI: https://doi.org/10.3389/fped.2023.1296904

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Quattrocchi, Emanuele ; Py, Baptiste ; Maradesa, Adeleke ; Meyer, Quentin ; Zhao, Chuan ; Ciucci, Francesco:
Deconvolution of electrochemical impedance spectroscopy data using the deep-neural-network-enhanced distribution of relaxation times.
In: Electrochimica Acta. Bd. 439 (2023) . - 141499.
DOI: https://doi.org/10.1016/j.electacta.2022.141499

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Favarato, Claudia:
Digitality and Political Theory : Mapping a Research Agenda in African Political Thought.
In: Theoria : A Journal of Social and Political Theory. Bd. 70 (2023) Heft 176 . - S. 34-64.
DOI: https://doi.org/10.3167/th.2023.7017602

Stocker, Sina ; Jung, Hyunwook ; Csányi, Gábor ; Goldsmith, C. Franklin ; Reuter, Karsten ; Margraf, Johannes T.:
Estimating Free Energy Barriers for Heterogeneous Catalytic Reactions with Machine Learning Potentials and Umbrella Integration.
In: Journal of Chemical Theory and Computation. Bd. 19 (2023) Heft 19 . - S. 6796-6804.
DOI: https://doi.org/10.1021/acs.jctc.3c00541

Grüne, Lars ; Sperl, Mario:
Examples for separable control Lyapunov functions and their neural network approximation.
In: IFAC-PapersOnLine. Bd. 56 (2023) Heft 1 . - S. 19-24.
DOI: https://doi.org/10.1016/j.ifacol.2023.02.004

Margraf, Johannes T. ; Jung, Hyunwook ; Scheurer, Christoph ; Reuter, Karsten:
Exploring catalytic reaction networks with machine learning.
In: Nature Catalysis. Bd. 6 (2023) . - S. 112-121.
DOI: https://doi.org/10.1038/s41929-022-00896-y

Volltext

Shetty, Pranav ; Rajan, Arunkumar Chitteth ; Künneth, Christopher ; Gupta, Sonakshi ; Panchumarti, Lakshmi Prerana ; Holm, Lauren ; Zhang, Chao ; Ramprasad, Rampi:
A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing.
In: npj Computational Materials. Bd. 9 (2023) Heft 1 . - 52.
DOI: https://doi.org/10.1038/s41524-023-01003-w

Bishop, Christopher A. ; Machate, Tina ; Henkel, Janin ; Schulze, Matthias B. ; Klaus, Susanne ; Piepelow, Karolin:
Heptadecanoic Acid Is Not a Key Mediator in the Prevention of Diet-Induced Hepatic Steatosis and Insulin Resistance in Mice.
In: Nutrients. Bd. 15 (2023) Heft 9 . - 2052.
DOI: https://doi.org/10.3390/nu15092052

Höcker, Birte ; Lu, Peilong ; Glasgow, Anum ; Marks, Debora S. ; Chatterjee, Pranam ; Slusky, Joanna S. G. ; Schueler-Furman, Ora ; Huang, Possu:
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?
In: Cell Systems. Bd. 14 (2023) Heft 8 . - S. 629-632.
DOI: https://doi.org/10.1016/j.cels.2023.07.005

Hemmer, Patrick ; Thede, Lukas ; Vössing, Michael ; Jakubik, Johannes ; Kühl, Niklas:
Learning to Defer with Limited Expert Predictions.
In: Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 37 (2023) Heft 5 . - S. 6002-6011.
DOI: https://doi.org/10.1609/aaai.v37i5.25742

Volltext
Schöttle, Marius ; Tran, Thomas ; Oberhofer, Harald ; Retsch, Markus:
Machine Learning Enabled Image Analysis of Time-Temperature Sensing Colloidal Arrays.
In: Advanced Science. Bd. 10 (2023) Heft 8 . - 2205512.
DOI: https://doi.org/10.1002/advs.202205512

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Kreuzberger, Dominik ; Kühl, Niklas ; Hirschl, Sebastian:
Machine learning operations (mlops) : Overview, definition, and architecture.
In: IEEE Access. Bd. 11 (2023) . - S. 31866-31879.
DOI: https://doi.org/10.1109/ACCESS.2023.3262138

Jung, Hyunwook ; Sauerland, Lena ; Stocker, Sina ; Reuter, Karsten ; Margraf, Johannes T.:
Machine-Learning Driven Global Optimization of Surface Adsorbate Geometries.
In: npj Computational Materials. Bd. 9 (2023) . - 114.
DOI: https://doi.org/10.1038/s41524-023-01065-w

Volltext
Schöttle, Marius ; Theis, Maximilian ; Lauster, Tobias ; Hauschild, Stephan ; Retsch, Markus:
Microspectroscopy on Thin Films of Colloidal Mixture Gradients for Data-Driven Optimization of Optical Properties.
In: Advanced Optical Materials. Bd. 11 (2023) Heft 16 . - 2300095.
DOI: https://doi.org/10.1002/adom.202300095

Spitzer, Philipp ; Kühl, Niklas ; Heinz, Daniel ; Satzger, Gerhard:
ML-Based Teaching Systems : A Conceptual Framework.
In: Proceedings of the ACM on Human-Computer Interaction. Bd. 7 (2023) Heft CSCW2 . - 348.
DOI: https://doi.org/10.1145/3610197

Stein, Jonas ; Ott, Dominik ; Nüßlein, Jonas ; Bucher, David ; Schönfeld, Mirco ; Feld, Sebastian:
NISQ-Ready Community Detection Based on Separation-Node Identification.
In: Mathematics. Bd. 11 (2023) Heft 15 . - 3323.
DOI: https://doi.org/10.3390/math11153323

Chen, Ke ; Kunkel, Christian ; Cheng, Bingqing ; Reuter, Karsten ; Margraf, Johannes T.:
Physics-Inspired Machine Learning of Localized Intensive Properties.
In: Chemical Science. Bd. 14 (2023) Heft 18 . - S. 4913-4922.
DOI: https://doi.org/10.1039/D3SC00841J

Gurnani, Rishi ; Künneth, Christopher ; Toland, Aubrey ; Ramprasad, Rampi:
Polymer Informatics at Scale with Multitask Graph Neural Networks.
In: Chemistry of Materials. Bd. 35 (2023) Heft 4 . - S. 1560-1567.
DOI: https://doi.org/10.1021/acs.chemmater.2c02991

Volltext
Achenbach, Bastian ; Grape, Erik Svensson ; Wahiduzzaman, Mohammad ; Pappler, Sandra K. ; Meinhart, Marcel ; Siegel, Renée ; Maurin, Guillaume ; Senker, Jürgen ; Inge, A. Ken ; Stock, Norbert:
Porous Salts Containing Cationic Al₂₄-Hydroxide-Acetate Clusters from Scalable, Green and Aqueous Synthesis Routes.
In: Angewandte Chemie International Edition. Bd. 62 (2023) Heft 29 . - e202218679.
DOI: https://doi.org/10.1002/anie.202218679

Vondrák, Martin ; Reuter, Karsten ; Margraf, Johannes T.:
q-pac: A Python Package for Machine Learned Charge Equilibration Models.
In: The Journal of Chemical Physics. Bd. 159 (2023) . - 054109.
DOI: https://doi.org/10.1063/5.0156290

Margraf, Johannes T.:
Science-Driven Atomistic Machine Learning.
In: Angewandte Chemie International Edition. Bd. 62 (2023) Heft 26 . - e202219170.
DOI: https://doi.org/10.1002/anie.202219170

Volltext
Maradesa, Adeleke ; Py, Baptiste ; Wan, Ting Hei ; Effat, Mohammed B. ; Ciucci, Francesco:
Selecting the Regularization Parameter in the Distribution of Relaxation Times.
In: Journal of the Electrochemical Society. Bd. 170 (2023) Heft 3 . - 030502.
DOI: https://doi.org/10.1149/1945-7111/acbca4

Vogel, Anna ; Rabenbauer, Alfred ; Deng, Philipp ; Steib, Ruben ; Böger, Thorben ; Zeier, Wolfgang G. ; Siegel, Renée ; Senker, Jürgen ; Daisenberger, Dominik ; Nisi, Katharina ; Holleitner, Alexander W. ; Venturini, Janio ; Nilges, Tom:
A Switchable One-Compound Diode.
In: Advanced Materials. Bd. 35 (2023) Heft 2 . - 2208698.
DOI: https://doi.org/10.1002/adma.202208698

Volltext
Friedrich, Markus ; Gerber, Theresa ; Dumler, Jonas ; Döpper, Frank:
A system for automated tool wear monitoring and classification using computer vision.
In: Procedia CIRP. Bd. 118 (2023) . - S. 425-430.
DOI: https://doi.org/10.1016/j.procir.2023.06.073

Volltext
Heiland, Lukas ; Kunstler, Georges ; Šebeň, Vladimír ; Hülsmann, Lisa:
Which demographic processes control competitive equilibria? Bayesian calibration of a size-structured forest population model.
In: Ecology and Evolution. Bd. 13 (2023) Heft 7 . - e10232.
DOI: https://doi.org/10.1002/ece3.10232

Volltext
Ferruz, Noelia ; Schmidt, Steffen ; Höcker, Birte:
ProtGPT2 is a deep unsupervised language model for protein design.
In: Nature Communications. Bd. 13 (2022) . - 4348.
DOI: https://doi.org/10.1038/s41467-022-32007-7

Volltext
Schmidt, Konstantin ; Haas, Lukas ; Bidarouni, Amir Latifi ; Reinhardt, Andreas ; Döpper, Frank ; Franke, Jörg:
A Methodology for Predictive Life Expectancy of Moisture-Sensitive SMT components using Neural Networks.
In: Procedia CIRP. Bd. 107 (2022) . - S. 1373-1378.
DOI: https://doi.org/10.1016/j.procir.2022.05.160

Aufsatz in einem Buch

Volltext
Grobrügge, Arne ; Kühl, Niklas ; Satzger, Gerhard ; Spritzer, Philipp:
Towards Human-Understandable Multi-Dimensional Concept Discovery.
In: Proceedings of the 37th IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). - Nashville, USA , 2025

Neuberger, Julian ; van der Aa, Han ; Ackermann, Lars ; Buschek, Daniel ; Herrmann, Jannic ; Jablonski, Stefan:
Assisted Data Annotation for Business Process Information Extraction from Textual Documents.
In: Comuzzi, Marco ; Grigori, Daniela ; Sellami, Mohamed ; Zhou, Zhangbing (Hrsg.): Cooperative Information Systems. - Cham : Springer Nature Switzerland, 2025 . - S. 186-203
DOI: https://doi.org/10.1007/978-3-031-81375-7_11

Beckmann, Christopher ; Berens, Benjamin ; Kühl, Niklas ; Mayer, Peter ; Mossano, Mattia ; Volkamer, Melanie:
Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency.
In: Mehrnezhad, Maryam ; Parkin, Simon (Hrsg.): Socio-Technical Aspects in Security : 12th International Workshop, STAST 2022. - Cham : Springer, 2025 . - S. 113-133 . - (Lecture Notes in Computer Science ; 13855 )
DOI: https://doi.org/10.1007/978-3-031-83072-3_7

Volltext
Zaha, Paul ; Allmendinger, Simeon ; Böcking, Lars ; Müller, Leopold ; Kühl, Niklas:
Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation.
In: Data Engineering in Medical Imaging : Third MICCAI Workshop, DEMI 2025, Held in Conjunction with MICCAI 2025 ; Proceedings. - Cham : Springer, 2025 . - S. 64-74 . - (Lecture Notes in Computer Science ; 16191 )
DOI: https://doi.org/10.1007/978-3-032-08009-7_7

Nandini, Durgesh ; Blöthner, Simon ; Schönfeld, Mirco ; Larch, Mario:
Enhancing Bilateral International Trade Flow Analysis with Knowledge Graph Embeddings.
In: Knowledge Discovery, Knowledge Engineering and Knowledge Management : 14th International Joint Conference, IC3K 2022, Valletta, Malta, October 24–26, 2022. - Cham : Springer, 2025 . - S. 177-195 . - (Communications in Computer and Information Science ; 2703 )
DOI: https://doi.org/10.1007/978-3-032-06878-1_9

Volltext
Bokstaller, Jonas ; Altheimer, Julia ; Dormehl, Julian ; Buss, Alina ; Wiltfang, Jasper ; Schneider, Johannes ; Röglinger, Maximilian:
Enhancing ML Model Interpretability : Leveraging Fine-Tuned Large Language Models for Better Understanding of AI.
In: Proceedings of the 33rd European Conference on Information Systems (ECIS). - Amman, Jordanien , 2025

Volltext
Nandini, Durgesh ; Blöthner, Simon ; Larch, Mario ; Schönfeld, Mirco:
Organising Knowledge from Text: Prompt-Based Triple Extraction and Graph Enrichment with Large Language Models.
In: Balke, Wolf-Tilo ; Golub, Koraljka ; Manolopoulos, Yannis ; Stefanidis, Kostas ; Zhang, Zheying (Hrsg.): Linking Theory and Practice of Digital Libraries : 29th International Conference on Theory and Practice of Digital Libraries, TPDL 2025, Tampere, Finland, September 23–26, 2025, Proceedings. - Cham : Springer, 2025 . - S. 53-70 . - (Lecture Notes in Computer Science ; 16097 )
DOI: https://doi.org/10.1007/978-3-032-05409-8_5

Volltext
Gutheil, Niklas ; Mayer, Valentin ; Müller, Leopold ; Römmelt, Jörg ; Kühl, Niklas:
PromptPilot : Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering.
In: Proceedings of the 46th International Conference on Information Systems (ICIS). - Nashville, USA , 2025

Volltext
Baumann, Oliver ; Schönfeld, Mirco:
PSemQE : Disambiguating Short Queries Through Personalised Semantic Query Expansion.
In: Aberer, Karl ; Domingo-Ferrer, Josep ; Marchiori, Massimo (Hrsg.): Proceedings of the 21st International Conference on Web Information Systems and Technologies. Volume 1. - Setúbal : SciTePress, 2025 . - S. 289-300
DOI: https://doi.org/10.5220/0013787500003985

Volltext
Moder, Linda ; Duda, Sebastian ; Willburger, Lukas ; Kraus-Caballero, Roberto ; Häckel, Björn ; Röglinger, Maximilian ; Urbach, Nils:
Towards Data-Sovereign Prescriptive Process Monitoring : A Federated Learning Approach.
In: Proceedings of the 33rd European Conference on Information Systems (ECIS). - Amman, Jordanien , 2025

Volltext
Nandini, Durgesh ; Koch, Rebekka ; Schönfeld, Mirco:
Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements Using Large Language Models.
In: Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 ; Proceedings. - Cham : Springer, 2025 . - S. 3-10 . - (Lecture Notes in Computer Science ; 15749 )
DOI: https://doi.org/10.1007/978-3-031-97207-2_1

Volltext
Fechner, Pascal ; Groß, Anika ; Lockl, Jannik ; Röglinger, Maximilian ; Tscheuschner, Niklas:
Urinary Bladder Monitoring Using a Wearable Device Based on Bioimpedance Measurements and Machine Learning.
In: Proceedings of the 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). - Lisbon, Portugal , 2025
DOI: https://doi.org/10.1109/BIBM62325.2024.10822085

Volltext
Böcking, Lars ; Müller, Leopold ; Kühl, Niklas:
Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification : Performance and Uncertainty Estimation on Unseen Datasets.
In: Bui, Tung X. (Hrsg.): Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS). - Waikoloa, Hawaii : University of Hawaii Press, 2025

Volltext
Buschek, Daniel:
Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools.
In: Proceedings of the 2024 ACM Designing Interactive Systems Conference. - New York : Association for Computing Machinery, 2024 . - S. 2719-2737
DOI: https://doi.org/10.1145/3643834.3660681

Volltext
Deck, Luca ; Schoeffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
A Critical Survey on Fairness Benefits of Explainable AI.
In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). - Rio de Janeiro, Brazil , 2024
DOI: https://doi.org/10.1145/3630106.3658990

Volltext
Speith, Timo ; Speith, Julian ; Becker, Steffen ; Zou, Yixin ; Biega, Asia ; Paar, Christof:
Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW).
In: Liebel, Grischa ; Hadar, Irit ; Spoletini, Paola (Hrsg.): 2024 IEEE 32nd International Requirements Engineering Conference (RE). - Piscataway, NJ : IEEE, 2024 . - S. 354-362
DOI: https://doi.org/10.1109/RE59067.2024.00042

Volltext
Zakreuskaya, Anastasiya ; Buschek, Daniel ; Mackay, Wendy E. ; Avellino, Ignacio ; Dove, Graham ; Eskofier, Bjoern M.:
From Text to Treatment : How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care.
In: Proceedings of Mensch und Computer 2024. - New York : Association for Computing Machinery, 2024 . - S. 99-110
DOI: https://doi.org/10.1145/3670653.3670665

Volltext
Deck, Luca ; Müller, Jan-Laurin ; Braun, Conradin ; Zipperling, Domenique ; Kühl, Niklas:
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness.
In: Proceedings of the Third European Workshop on Algorithmic Fairness (EWAF'24). - Mainz, Germany , 2024

Volltext
Spitzer, Philipp ; Celis, Sebastian ; Martin, Dominik ; Kühl, Niklas ; Satzger, Gerhard:
Looking Through the Deep Glasses : How Large Language Models Enhance Explainability of Deep Learning Models.
In: Maedche, Alexander ; Beigl, Michael ; Gerling, Kathrin ; Mayer, Sven (Hrsg.): Proceedings of Mensch und Computer 2024. - Karlsruhe, Germany : Association for Computing Machinery, 2024 . - S. 566-570
DOI: https://doi.org/10.1145/3670653.3677488

Volltext
Nandini, Durgesh ; Blöthner, Simon ; Schönfeld, Mirco ; Larch, Mario:
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis.
In: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Volume 2. - Porto, Portugal , 2024 . - S. 63-73
DOI: https://doi.org/10.5220/0013028500003838

Volltext
Balbierer, Beatrice ; Heinlein, Lukas ; Zipperling, Domenique ; Kühl, Niklas:
A Multivocal Literature Review on Privacy and Fairness in Federated Learning.
In: Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI). - Würzburg, Germany , 2024
DOI: https://doi.org/10.48550/arXiv.2408.08666

Volltext
Allmendinger, Simeon ; Hemmer, Patrick ; Queisner, Moritz ; Sauer, Igor ; Müller, Leopold ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas:
Navigating the Synthetic Realm: Harnessing Diffusion-Based Models for Laparoscopic Text-to-Image Generation.
In: Shaban-Nejad, Arash ; Michalowski, Martin ; Bianco, Simone (Hrsg.): AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health. - Cham : Springer, 2024 . - S. 31-46
DOI: https://doi.org/10.1007/978-3-031-63592-2_4

Volltext
Spitzer, Philipp ; Goutier, Marc ; Kühl, Niklas ; Satzger, Gerhard:
(X)AI as a Teacher : Learning with Explainable Artificial Intelligence.
In: Maedche, Alexander ; Beigl, Michael ; Gerling, Kathrin ; Mayer, Sven (Hrsg.): Proceedings of Mensch und Computer 2024. - Karlsruhe, Germany : Association for Computing Machinery, 2024 . - S. 571-576
DOI: https://doi.org/10.1145/3670653.3677504

Nitsche, Maximilian ; Mukkavilli, Surya Karthik ; Kühl, Niklas ; Brunschwiler, Thomas:
AB2CD : AI for Building Climate Damage Classification and Detection.
In: AAAI 2023 FALL SYMPOSIUM SERIES on Artificial Intelligence and Climate : The Role of AI in a Climate-Smart Sustainable Future. - Arlington, VA, USA , 2023

Schemmer, Max ; Kühl, Niklas ; Benz, Carina ; Bartos, Andrea ; Satzger, Gerhard:
Appropriate Reliance on AI Advice : Conceptualization and the Effect of Explanations.
In: Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23. - New York, NY, USA : Association for Computing Machinery, 2023 . - S. 410-422
DOI: https://doi.org/10.1145/3581641.3584066

Volltext
Geiger, Marco ; Martin, Dominik ; Kühl, Niklas:
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images.
In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI , 2023 . - S. 826-834

Volltext
Baier, Lucas ; Schlör, Tim ; Schöffer, Jakob ; Kühl, Niklas:
Detecting Concept Drift With Neural Network Model Uncertainty.
In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI , 2023 . - S. 836-844

Volltext
Speith, Timo ; Langer, Markus:
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI).
In: Schneider, Kurt ; Dalpiaz, Fabiano ; Horkoff, Jennifer (Hrsg.): 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). - Piscataway, NJ, USA : IEEE, 2023 . - S. 325-331
DOI: https://doi.org/10.1109/REW57809.2023.00061

Schöffer, Jakob ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Satzger, Gerhard:
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.
In: HHAI 2023: Augmenting Human Intellect : Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence. - Amsterdam : IOS Press, 2023 . - S. 46-59 . - (Frontiers in Artificial Intelligence and Applications ; 368 )
DOI: https://doi.org/10.3233/FAIA230074

Crook, Barnaby ; Schlüter, Maximilian ; Speith, Timo:
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI).
In: Schneider, Kurt ; Dalpiaz, Fabiano ; Horkoff, Jennifer (Hrsg.): 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). - Piscataway, NJ : IEEE, 2023 . - S. 316-324
DOI: https://doi.org/10.1109/REW57809.2023.00060

Volltext
Mann, Sara ; Crook, Barnaby ; Kästner, Lena ; Schomäcker, Astrid ; Speith, Timo:
Sources of Opacity in Computer Systems : Towards a Comprehensive Taxonomy.
In: Schneider, Kurt ; Dalpiaz, Fabiano ; Horkoff, Jennifer (Hrsg.): 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). - Piscataway, NJ, USA : IEEE, 2023 . - S. 337-342
DOI: https://doi.org/10.1109/REW57809.2023.00063

Jakubik, Johannes ; Muszynski, Michal ; Vössing, Michael ; Kühl, Niklas ; Brunschwiler, Thomas:
Toward Foundation Models for Earth Monitoring : Generalizable Deep Learning Models for Natural Hazard Segmentation.
In: 2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings. - Piscataway, NJ , 2023
DOI: https://doi.org/10.48550/arXiv.2301.09318

Jaeger, Katharina M. ; Nissen, Michael ; Richer, Robert ; Rahm, Simone ; Titzmann, Adriana ; Fasching, Peter A. ; Eskofier, Björn M. ; Leutheuser, Heike:
Machine learning-based detection of in-utero fetal presentation from non-invasive fetal ECG.
In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) : proceedings. - Piscataway, NJ : IEEE, 2022 . - 01-04
DOI: https://doi.org/10.1109/BHI56158.2022.9926804

Veranstaltungsbeitrag

Spitzer, Philipp ; Holstein, Joshua ; Hemmer, Patrick ; Vössing, Michael ; Kühl, Niklas ; Martin, Dominik ; Satzger, Gerhard:
Human Delegation Behavior in Human-AI Collaboration : The Effect of Contextual Information.
2025
Veranstaltung: CSCW 2025 .
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Volltext
Beer, Philipp ; Squarcina, Marco ; Roth, Sebastian ; Lindorfer, Martina:
TapTrap : Animation-Driven Tapjacking on Android.
2025
Veranstaltung: 34th USENIX Security Symposium , August 13–15, 2025 , Seattle, WA, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Volltext
Zipperling, Domenique ; Deck, Luca ; Lanzl, Julia ; Kühl, Niklas:
It's only fair when I think it's fair : How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration.
2025
Veranstaltung: The 8th Annual ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25) , June 23–26, 2025 , Athens, Greece.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3715275.3732084

Volltext
Baumann, Oliver ; Nandini, Durgesh ; Rossanez, Anderson ; Schönfeld, Mirco ; dos Reis, Julio Cesar:
How to Surprisingly Consider Recommendations? A Knowledge-Graph-Based Approach Relying on Complex Network Metrics.
2024
Veranstaltung: 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD) , 17.-19. Nov. 2024 , Porto, Portugal.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.5220/0012936100003838

Baum, Matthias ; Streeb, Mirjam ; Koschmider, Agnes:
Supercharging Obsessions with AI? The Development of Obsessive Passion Due to Reinforcing AI Feedback.
2024
Veranstaltung: Rencontres de St-Gall: "The Mechanical Turk and its Grandchildren ante portas: The Significance of Artificial Intelligence in Entrepreneurship Research and Practice" , 02.-04.September 2024 , St. Gallen, Schweiz.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Roth, Sebastian ; Gröber, Lea ; Baus, Philipp ; Krombholz, Katharina ; Stock, Ben:
Trust Me If You Can : How Usable Is Trusted Types In Practice?
2024
Veranstaltung: 33rd USENIX Security Symposium , 14.-16.08.2024 , Philadelphia, PA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Volltext
Deck, Luca ; Schomäcker, Astrid ; Speith, Timo ; Schöffer, Jakob ; Kästner, Lena ; Kühl, Niklas:
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle.
2024
Veranstaltung: Third European Workshop on Algorithmic Fairness (EWAF'24) , July 1-3, 2024 , Mainz, Germany.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )
DOI: https://doi.org/10.48550/arXiv.2404.18736

Spitzer, Philipp ; Kühl, Niklas ; Goutier, Marc ; Kaschura, Manuel ; Satzger, Gerhard:
Transferring Domain Knowledge with (X)AI-Based Learning Systems.
2024
Veranstaltung: 32nd European Conference on Information Systems (ECIS) , 13-19 June 2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Holstein, Joshua ; Spitzer, Philipp ; Hoell, Marieke ; Vössing, Michael ; Kühl, Niklas:
Understanding Data Understanding : A Framework to Navigate the Intricacies of Data Analytics.
2024
Veranstaltung: 32nd European Conference on Information Systems (ECIS) , 13-19 June 2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Hantke, Florian ; Roth, Sebastian ; Mrowczynski, Rafael ; Utz, Christine ; Stock, Ben:
Where Are the Red Lines? Towards Ethical Server-Side Scans in Security and Privacy Research.
2024
Veranstaltung: 45th IEEE Symposium on Security and Privacy (S&P) , 20.-22.05.2024 , San Francisco, CA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1109/SP54263.2024.00104

Lee, Mina ; Gero, Katy Ilonka ; Chung, John Joon Young ; Shum, Simon Buckingham ; Raheja, Vipul ; Shen, Hua ; Venugopalan, Subhashini ; Wambsganss, Thiemo ; Zhou, David ; Alghamdi, Emad A. ; August, Tal ; Bhat, Avinash ; Choksi, Madiha Zahrah ; Dutta, Senjuti ; Guo, Jin L. C. ; Hoque, Md Naimul ; Kim, Yewon ; Knight, Simon ; Neshaei, Seyed Parsa ; Shibani, Antonette ; Shrivastava, Disha ; Shroff, Lila ; Sergeyuk, Agnia ; Stark, Jessi ; Sterman, Sarah ; Wang, Sitong ; Bosselut, Antoine ; Buschek, Daniel ; Chang, Joseph Chee ; Chen, Sherol ; Kreminski, Max ; Park, Joonsuk ; Pea, Roy ; Rho, Eugenia Ha Rim ; Shen, Zejiang ; Siangliulue, Pao:
A Design Space for Intelligent and Interactive Writing Assistants.
2024
Veranstaltung: CHI Conference on Human Factors in Computing Systems , 11-16 May 2024 , Honolulu, Hawaii, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3613904.3642697

Schöffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.
2024
Veranstaltung: ACM CHI Conference on Human Factors in Computing Systems (CHI '24) , 11.-16.05.2024 , Honolulu, Hawaiʻi.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag mit Paper )

Benharrak, Karim ; Zindulka, Tim ; Lehmann, Florian ; Heuer, Hendrik ; Buschek, Daniel:
Writer-Defined AI Personas for On-Demand Feedback Generation.
2024
Veranstaltung: CHI Conference on Human Factors in Computing Systems , 11-16 May 2024 , Honolulu, Hawaii, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3613904.3642406

Volltext
Müller, Leopold ; Hemmer, Patrick ; Queisner, Moritz ; Sauer, Igor ; Allmendinger, Simeon ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas:
Redefining the Laparoscopic Spatial Sense : AI-Based Intra- and Postoperative Measurement from Stereoimages.
2024
Veranstaltung: The 38th Annual AAAI Conference on Artificial Intelligence , February 20-27, 2024 , Vancouver, Canada.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag mit Paper )
DOI: https://doi.org/10.1609/aaai.v38i21.30334

Volltext
Zipperling, Domenique ; Allmendinger, Simeon ; Struppek, Lukas ; Kühl, Niklas:
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI.
2024
Veranstaltung: The 32nd European Conference on Information Systems (ECIS) , 13.06 - 19.06.2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.15495/EPub_UBT_00007511

Schemmer, Max ; Bartos, Andrea ; Spitzer, Philipp ; Hemmer, Patrick ; Kühl, Niklas ; Liebschner, Jonas ; Satzger, Gerhard:
Towards Effective Human-AI Decision-Making : The Role of Human Learning in Appropriate Reliance on AI Advice.
2023
Veranstaltung: International Conference on Information Systems (ICIS 2023) , 10.-13.12.2023 , Hyderabad, India.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Trampert, Leon ; Stock, Ben ; Roth, Sebastian:
Honey, I Cached our Security Tokens : Re-usage of Security Tokens in the Wild.
2023
Veranstaltung: 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID) , 16.-18.10.2023 , Hongkong.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3607199.3607223

Volltext
Deck, Luca ; Schoeffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
A Critical Survey on Fairness Benefits of XAI.
2023
Veranstaltung: XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023 , 16.12.2023 , New Orleans, Louisiana, USA.
(Veranstaltungsbeitrag: Workshop , Vortrag mit Paper )
DOI: https://doi.org/10.48550/arXiv.2310.13007

Volltext
Haller, Franziska ; Schemmer, Max ; Kühl, Niklas ; Holtmann, Carsten:
Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading.
2023
Veranstaltung: The 31st European Conference on Information Systems (ECIS 2023) , 11.-16.06.2023 , Kristiansand, Norwegen.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Dang, Hai ; Goller, Sven ; Lehmann, Florian ; Buschek, Daniel:
Choice Over Control : How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting.
2023
Veranstaltung: CHI Conference on Human Factors in Computing Systems , 23.04. - 28.04.2023 , Hamburg, Germany.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3544548.3580969

Jakesch, Maurice ; Bhat, Advait ; Buschek, Daniel ; Zalmanson, Lior ; Naaman, Mor:
Co-Writing with Opinionated Language Models Affects Users' Views.
2023
Veranstaltung: CHI Conference on Human Factors in Computing Systems , 23.04. - 28.04.2023 , Hamburg, Germany.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1145/3544548.3581196

Preprint, Postprint

Volltext

Volltext
Köhne, Frederik ; Kreis, Leonie ; Schiela, Anton ; Herzog, Roland:
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent.
Bayreuth ; Heidelberg , 2023 . - 31 S.
DOI: https://doi.org/10.48550/arXiv.2311.16956

Volltext
Herzog, Roland ; Köhne, Frederik ; Kreis, Leonie ; Schiela, Anton:
Frobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training.
Bayreuth ; Heidelberg , 2023 . - 14 S.
DOI: https://doi.org/10.48550/arXiv.2311.15419

Volltext
Herberg, Evelyn ; Herzog, Roland ; Köhne, Frederik ; Kreis, Leonie ; Schiela, Anton:
Sensitivity-Based Layer Insertion for Residual and Feedforward Neural Networks.
Bayreuth ; Heidelberg , 2023 . - 15 S.
DOI: https://doi.org/10.48550/arXiv.2311.15995

Volltext
Fischer, Florian ; Fleig, Arthur ; Klar, Markus ; Paneva, Viktorija ; Müller, Jörg:
Towards a Deep(er) Understanding of Interaction through Modeling, Simulation, and Optimization.
arXiv , 2023 . - 8 S.
DOI: https://doi.org/10.48550/ARXIV.2302.11409

Shukla, Shivank S. ; Künneth, Christopher ; Ramprasad, Rampi:
Polymer Informatics Beyond Homopolymers.
arXiv , 2023
DOI: https://doi.org/10.48550/arXiv.2303.12938

Working paper, Diskussionspapier

Volltext
Allmendinger, Simeon ; Bonenberger, Lukas ; Endres, Kathrin ; Fetzer, Dominik ; Gimpel, Henner ; Kühl, Niklas:
Multi-Agent AI.
Bayreuth, Germany , 2025

Volltext
Busch, Moritz ; Collarana, Diego ; Decker, Stefan ; Eymann, Torsten ; Gutheil, Niklas ; Keller, Robert ; Kühl, Niklas ; Lange-Bever, Christoph ; Mayer, Valentin ; Morad, Milad ; Pöllath, Larissa ; Röglinger, Maximilian ; Sharma, Richa ; Urbach, Nils:
Implementing Generative AI Chatbots : Potentials, Challenges and Guidelines for the Successful Implementation of Generative AI Chatbots into Tourism.
Bayreuth , 2025
DOI: https://doi.org/10.5281/zenodo.15101793

Volltext
Becker, Dominik ; Deck, Luca ; Feulner, Simon ; Gutheil, Niklas ; Schüll, Moritz ; Decker, Stefan ; Eymann, Torsten ; Gimpel, Henner ; Pippow, Andreas ; Röglinger, Maximilian ; Urbach, Nils:
Lohnt sich Microsoft 365 Copilot? : Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen.
Bayreuth , 2024 . - 58 S. - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 72 )
DOI: https://doi.org/10.15495/EPub_UBT_00007962

Volltext
Gimpel, Henner ; Gutheil, Niklas ; Mayer, Valentin ; Bandtel, Matthias ; Büttgen, Marion ; Decker, Stefan ; Eymann, Torsten ; Feulner, Simon ; Kaya, Muhammed Fatih ; Kufner, Marie ; Kühl, Niklas ; Lämmermann, Luis ; Mädche, Alexander ; Ruiner, Caroline ; Schoop, Mareike ; Urbach, Nils:
(Generative) AI Competencies for Future-Proof Graduates : Inspiration for Higher Education Institutions.
Hohenheim , 2024 . - 34 S. - (Hohenheim Discussion Papers in Business, Economics and Social Sciences )
DOI: https://doi.org/10.5281/zenodo.10680210

Volltext
Michaelis, Anne ; Böcking, Lars ; Schäfermeier, Bastian ; Baier, André ; Kühl, Niklas ; Körner, Marc-Fabian ; Nolting, Lars:
Generative Artificial Intelligence in the Energy Sector.
Bayreuth , 2024 . - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 71 )
DOI: https://doi.org/10.15495/EPub_UBT_00007674

Volltext
Ackermann, Lars ; Käppel, Martin ; Marcus, Laura ; Moder, Linda ; Dunzer, Sebastian ; Hornsteiner, Markus ; Liessmann, Annina ; Zisgen, Yorck ; Empl, Philip ; Herm, Lukas-Valentin ; Neis, Nicolas ; Neuberger, Julian ; Poss, Leo ; Schaschek, Myriam ; Weinzierl, Sven ; Wördehoff, Niklas ; Jablonski, Stefan ; Koschmider, Agnes ; Kratsch, Wolfgang ; Matzner, Martin ; Rinderle-Ma, Stefanie ; Röglinger, Maximilian ; Schönig, Stefan ; Winkelmann, Axel:
Recent Advances in Data-Driven Business Process Management.
Bayreuth , 2024 . - 34 S.
DOI: https://doi.org/10.48550/arXiv.2406.01786

Volltext
Reinkemeyer, Lars ; Röglinger, Maximilian ; Kratsch, Wolfgang ; Fabri, Lukas ; Schmid, Sebastian Johannes ; Wittmann, Jakob:
Exploring the Interplay of Process Mining and Generative AI : Research and Recommendations for CoEs.
Celonis
München ; Bayreuth , 2023 . - 41 S.

Volltext
Gimpel, Henner ; Hall, Kristina ; Decker, Stefan ; Eymann, Torsten ; Lämmermann, Luis ; Mädche, Alexander ; Röglinger, Maximilian ; Ruiner, Caroline ; Schoch, Manfred ; Schoop, Mareike ; Urbach, Nils ; Vandirk, Steffen:
Unlocking the Power of Generative AI Models and Systems such as GPT-4 and ChatGPT for Higher Education : A Guide for Students and Lecturers.
Hohenheim , 2023 . - 46 S. - (Hohenheim Discussion Papers in Business, Economics and Social Sciences ; 2023,02 )

Projektbericht, Forschungsbericht, Gutachten

Volltext
Grüneke, Timo ; Guggenberger, Tobias ; Hall, Kristina ; Langer, Tiana ; Meierhöfer, Simon ; Oberländer, Anna Maria ; Röglinger, Maximilian ; Stramm, Jan ; Urbach, Nils ; Wozar, Jana:
Einsatz- und Akzeptanzanalyse von KI-basierten Wissenszugängen in KMU am Beispiel einer semantischen Suche.
Universität Bayreuth; Frankfurt University of Applied Sciences; Grimmer GmbH; Sigmund Lindner GmbH; SILOKING Mayer Maschinenbau GmbH; deepset GmbH
Bayreuth 2025 . - 37 S.
DOI: https://doi.org/10.15495/EPub_UBT_00008414

Dissertation

Speith, Timo:
Building Bridges for Better Machines: From Machine Ethics to Machine Explainability and Back.
Saarbrücken : Saarländische Universitäts-und Landesbibliothek , 2023
( Dissertation, 2023, Saarland University)
DOI: https://doi.org/10.22028/D291-40450

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