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- Ute Schmid
University of Bamberg, Faculty Information Systems and Applied Computer Sciences, Germany
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Publication search results
found 186 matches
- 2024
- Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - Simon Schramm, Christoph Wehner, Ute Schmid:
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey. CoRR abs/2404.03499 (2024) - Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid:
Can humans teach machines to code? CoRR abs/2404.19397 (2024) - 2023
- Louisa Heidrich, Emanuel Slany, Stephan Scheele, Ute Schmid:
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction. Mach. Learn. Knowl. Extr. 5(4): 1519-1538 (2023) - Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid:
Explanatory machine learning for sequential human teaching. Mach. Learn. 112(10): 3591-3632 (2023) - Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Bettina Finzel, Ute Schmid, Heimo Müller:
Toward human-level concept learning: Pattern benchmarking for AI algorithms. Patterns 4(8): 100788 (2023) - Nikolai Spuck, Matthias Schmid, Nils Heim, Ute Klarmann-Schulz, Achim Hörauf, Moritz Berger:
Flexible tree-structured regression models for discrete event times. Stat. Comput. 33(1): 20 (2023) - Joscha Eirich, Dominik Jäckle, Michael Sedlmair, Christoph Wehner, Ute Schmid, Jürgen Bernard, Tobias Schreck:
ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories. IEEE Trans. Vis. Comput. Graph. 29(8): 3441-3457 (2023) - Simon Schramm, Christoph Wehner, Ute Schmid:
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey. J. Web Semant. 79: 100806 (2023) - Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid:
Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition. CD-MAKE 2023: 31-44 - Emanuel Slany, Stephan Scheele, Ute Schmid:
Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning. ECAI Workshops (1) 2023: 285-301 - Simon Schramm, Ute Schmid:
Inductive Logic Programming for Explainable Graph Clustering. ICKG 2023: 235-242 - Jonas Troles, Richard Nieding, Sonia Simons, Ute Schmid:
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data. I4CS 2023: 103-122 - Simon Schramm, Ulrich Niklas, Ute Schmid:
Cluster Robust Inference for Embedding-Based Knowledge Graph Completion. KSEM (1) 2023: 284-299 - Alisa Véronique Münsterberg, Reinhard Budde, Ute Schmid, Thorsten Leimbach:
Perzeptrons programmieren und explorieren im Rahmen der Open Roberta Lernumgebung. INFOS 2023: 435-436 - Durgesh Nandini, Ute Schmid:
Explaining Hate Speech Classification with Model Agnostic Methods. CoRR abs/2306.00021 (2023) - Jonas-Dario Troles, Richard Nieding, Sonia Simons, Ute Schmid:
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data. CoRR abs/2307.01651 (2023) - Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid:
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. CoRR abs/2308.14163 (2023) - Luc De Raedt, Ute Schmid, Johannes Langer:
Approaches and Applications of Inductive Programming (Dagstuhl Seminar 23442). Dagstuhl Reports 13(10): 182-211 (2023) - 2022
- Kyra Gobel, Cornelia Niessen, Sebastian Seufert, Ute Schmid:
Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations. Frontiers Artif. Intell. 5 (2022) - Ute Schmid:
Constructing Explainability - Interdisciplinary Framework to Actively Shape Explanations in XAI. Künstliche Intell. 36(3): 327-331 (2022) - Ute Schmid, Britta Wrede:
Explainable AI. Künstliche Intell. 36(3): 207-210 (2022) - Ute Schmid, Britta Wrede:
What is Missing in XAI So Far? Künstliche Intell. 36(3): 303-315 (2022) - Sebastian Kiefer, Mareike Hoffmann, Ute Schmid:
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions. Mach. Learn. Knowl. Extr. 4(4): 994-1010 (2022) - Johannes Rabold, Michael Siebers, Ute Schmid:
Generating contrastive explanations for inductive logic programming based on a near miss approach. Mach. Learn. 111(5): 1799-1820 (2022) - Joscha Eirich, Jakob Bonart, Dominik Jäckle, Michael Sedlmair, Ute Schmid, Kai Fischbach, Tobias Schreck, Jürgen Bernard:
IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines. IEEE Trans. Vis. Comput. Graph. 28(1): 11-21 (2022) - Andreas Blätte, Anna Fräßdorf, Jan-Ocko Heuer, Ute Hoffstätter, Christoph Leonhardt, Laura Menze, Bernhard Miller, Kati Mozygemba, Dagmar Pattloch, Julia Rakers, Silke Reineke, Thomas Runge, Friederike Schlücker, Thomas Schmidt, Knut Wenzig, Christof Wolf:
Eine Dateninfrastruktur für die Gesellschaftswissenschaften. Unterstützung in der Arbeit mit Forschungsdaten durch KonsortSWD. ZfBB 69(1-2): 48-58 (2022) - Dennis Müller, Michael März, Stephan Scheele, Ute Schmid:
An Interactive Explanatory AI System for Industrial Quality Control. AAAI 2022: 12580-12586 - Kolja Kühnlenz, Ute Schmid, Barbara Kühnlenz:
A Video-based Study on Perceived Intelligence, Subjective Performance and Trust under Variation of Prior Information given to Users in Autonomous Driving. ARSO 2022: 1-4
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