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Anzahl der Publikationen auf dieser Ebene: 361

A

Altmann, Philipp; Winter, Katharina; Kölle, Michael; Zorn, Maximilian und Linnhoff-Popien, Claudia (2025): MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. , Porto, Portugal, 23. - 25. Februar 2025. SciTePress. S. 33-44

Abbaszadeh, Sadegh ORCID logoORCID: https://orcid.org/0000-0002-8257-0116 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Dezember 2021): Machine Learning With the Sugeno Integral: The Case of Binary Classification. In: IEEE Transactions on Fuzzy Systems, Nr. 12: S. 3723-3733

Ahmadi Fahandar, Mohsen und Hüllermeier, Eyke (April 2021): Analogical Embedding for Analogy-Based Learning to Rank. Advances in Intelligent Data Analysis XIX. IDA 2021, Porto, Portugal, April 26-28, 2021. In: Advances in Intelligent Data Analysis XIX, Bd. 12695 Cham: Springer. S. 76-88

Allam, Ahmed ORCID logoORCID: https://orcid.org/0000-0003-0871-1977; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729; Rebhan, Michael ORCID logoORCID: https://orcid.org/0000-0002-0890-9492 und Krauthammer, Michael ORCID logoORCID: https://orcid.org/0000-0002-4808-1845 (2021): Analyzing Patient Trajectories With Artificial Intelligence. In: Journal of Medical Internet Research, Bd. 23, Nr. 12, e29812 [PDF, 446kB]

Adel, Heike und Schütze, Hinrich (September 2019): Type-aware Convolutional Neural Networks for Slot Filling. In: Journal of Artificial Intelligence Research, Bd. 66: S. 297-339 [PDF, 496kB]

Abiteboul, Serge; Arenas, Marcelo; Barceló, Pablo; Bienvenu, Meghyn; Calvanese, Diego; David, Claire; Hull, Richard; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Kimelfeld, Benny; Libkin, Leonid; Martens, Wim; Milo, Tova; Murlak, Filip; Neven, Frank; Ortiz, Magdalena; Schwentick, Thomas; Stoyanovich, Julia; Su, Jianwen; Suciu, Dan; Vianu, Victor und Yi, Ke (April 2018): Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151). In: Dagstuhl Manifestos, Bd. 7, Nr. 1: S. 1-29 [PDF, 519kB]

Abiteboul, Serge; Arenas, Marcelo; Barceló, Pablo; Bienvenu, Meghyn; Calvanese, Diego; David, Claire; Hull, Richard; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Kimelfeld, Benny; Libkin, Leonid; Martens, Wim; Milo, Tova; Murlak, Filip; Neven, Frank; Ortiz, Magdalena; Schwentick, Thomas; Stoyanovich, Julia; Su, Jianwen; Suciu, Dan; Vianu, Victor und Yi, Ke (Dezember 2016): Research Directions for Principles of Data Management (Abridged). In: SIGMOD Record, Bd. 45, Nr. 4: 5–17

Antić, Borislav und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (22. Februar 2015): Spatio-temporal Video Parsing for Abnormality Detection. arxiv.org [PDF, 4MB]

Antić, Borislav und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2014): Learning Latent Constituents for Recognition of Group Activities in Video. 13th European Conference on Computer Vision (ECCV), Zürich, 6.-12. September 2014. Fleet, David; Pajdla, Tomas; Schiele, Bernt und Tuytelaars, Tinne (Hrsg.): In: Computer Vision – ECCV 2014 Proceedings, Bd. 1 Cham: Springer International Publishing. S. 33-47

Aschersleben, G.; Gstalter, Herbert; Kaiser, F.; Strube, V. und Zang, B. (1989): Prototyping als Verfahren zur Software-Entwicklung. Literaturanalyse und Expertengespräche. In: Zeitschrift für Arbeitswissenschaft, Nr. 43: S. 42-47 [PDF, 4MB]

Allioli, Joseph Franz (1830): Ueber die Aufgabe des Lebens auf Hochschulen in Bezug auf Wissenschaft und Gesittung. München [PDF, 11MB]

B

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Mai 2024): Identifying Copeland Winners in Dueling Bandits with Indifferences. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2. - 4. May 2024. In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research Bd. 238 PMLR. S. 226-234 [PDF, 522kB]

Bevanda, Petar; Beier, Max; Lederer, Armin; Sosnowski, Stefan; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Hirche, Sandra (Dezember 2023): Koopman Kernel Regression. 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023. In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems Bd. 36 Curran Associates, Inc.. S. 16207-16221 [PDF, 466kB]

Brandt, Jasmin; Schede, Elias; Sharma, Shivam; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin (Oktober 2023): Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration. Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023. Leyer, Michael und Wichmann, Johannes (Hrsg.): In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Bd. 3630 CEUR-WS.org. S. 492-505 [PDF, 447kB]

Belaid, Mohamed Karim; Bornemann, Richard; Rabus, Maximilian; Krestel, Ralf und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2023): Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark. World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023. Longo, Luca (Hrsg.): Cham: Springer Nature Switzerland. S. 88-109 [PDF, 507kB]

Brandt, Jasmin; Schede, Elias; Haddenhorst, Björn ORCID logoORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin (7. Februar 2023): AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. AAAI Conference on Artificial Intelligence, Washington, DC, USA, February, 2023. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 37, Nr. 10 S. 12355-12363 [PDF, 844kB]

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID logoORCID: https://orcid.org/0000-0002-5950-3003 (2023): On Second-Order Scoring Rules for Epistemic Uncertainty Quantification. 40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023. Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.): In: Proceedings of the 40th International Conference on Machine Learning, Bd. 202 PMLR. S. 2078-2091 [PDF, 400kB]

Boche, Holger ORCID logoORCID: https://orcid.org/0000-0002-8375-8946; Fono, Adalbert ORCID logoORCID: https://orcid.org/0000-0002-4302-8762 und Kutyniok, Gitta ORCID logoORCID: https://orcid.org/0000-0001-9738-2487 (2023): Limitations of Deep Learning for Inverse Problems on Digital Hardware. In: IEEE Transactions on Information Theory, Bd. 69, Nr. 12: S. 7887-7908

Bär, Dominik; Calderon, Fausto; Lawlor, Michael; Licklederer, Sophia; Totzauer, Manuel und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2023): Analyzing Social Media Activities at Bellingcat. WebSci'23, Austin, 30.04.2023-01.05.2023. arXiv.

Bär, Dominik; Pröllochs, Nicolas und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2023): New threats to society from free-speech social media platforms. arXiv

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID logoORCID: https://orcid.org/0000-0002-5950-3003 (28. November 2022): Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation. Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 28 November - 9 December 2022. [PDF, 385kB]

Brandt, Jasmin; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn ORCID logoORCID: https://orcid.org/0000-0002-4023-6646 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (28. November 2022): Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget. Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 28 November - 9 December 2022. [PDF, 618kB]

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (16. November 2022): Multi-armed bandits with censored consumption of resources. In: Machine Learning, Bd. 112, Nr. 2: S. 217-240 [PDF, 2MB]

Bengs, Viktor; Saha, Aadirupa und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2022): Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models. 39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022. Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.): In: Proceedings of the 39th International Conference on Machine Learning, Bd. 162 PMLR. S. 1764-1786 [PDF, 3MB]

Banholzer, Nicolas; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Vach, Werner (2022): Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19. In: Scientific Reports, Bd. 12, Nr. 1, 7526 [PDF, 1MB]

Banholzer, Nicolas ORCID logoORCID: https://orcid.org/0000-0003-0138-6120; Lison, Adrian; Özcelik, Dennis; Stadler, Tanja; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Vach, Werner (2022): The methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review. In: European Journal of Epidemiology, Bd. 37, Nr. 10: S. 1003-1024 [PDF, 1MB]

Benk, Michaela; Weibel, Raphael P.; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Ferrario, Andrea (2022): "Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. In: Proceedings of the ACM on Human-Computer Interaction, Bd. 6, Nr. CSCW2: S. 1-23

Blattmann, Andreas; Rombach, Robin; Oktay, Kaan und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2022): Retrieval-Augmented Diffusion Models. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28 November - 9 December 2022. Koyejo, Sanmi; Mohamed, Shakir; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun und Oh, Alice (Hrsg.): In: 36th Neural Information Processing Systems Foundation, Red Hook, NY: Curran Associates.

Blümlein, Theresa; Persson, Joel und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. MLHC 2022, Durham, 05.08.2022-06.08.2022. arXiv.

Bär, Dominik; Pröllochs, Nicolas und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Finding Qs: Profiling QAnon Supporters on Parler. ICWSM 2023, Limassol, 05.06.2023-08.06.2023. arXiv.

Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Labreuche, Christophe und Sebag, Michèle (3. November 2021): On the Identifiability of Hierarchical Decision Models. International Conference on Principles of Knowledge Representation and Reasoning, Virtual, November 3-12, 2021. In: Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning, S. 151-162

Berger, Benedikt ORCID logoORCID: https://orcid.org/0000-0001-8220-7686; Niedernhuber, Tanja ORCID logoORCID: https://orcid.org/0000-0002-4986-8252; Hess, Thomas ORCID logoORCID: https://orcid.org/0000-0003-3969-7477 und Engländer, Armin (Juni 2021): Nutzung digitaler Tools in Lehrveranstaltungen. München [PDF, 6MB]

Bengs, Viktor; Busa-Fekete, Róbert; Mesaoudi-Paul, Adil El und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Januar 2021): Preference-based Online Learning with Dueling Bandits: A Survey. In: Journal of Machine Learning Research, Bd. 22, Nr. 7: S. 1-108 [PDF, 918kB]

Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Labreuche, Christophe und Sebag, Michèle (Januar 2021): Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan (Virtual), January 7-15, 2021. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, S. 1984-1991

Blattmann, Andreas; Milbich, Timo; Dorkenwald, Michael und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2021): Behavior-Driven Synthesis of Human Dynamics. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20-25 June 2021. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New York: IEEE. S. 12231-12241

Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2020): Preselection Bandits. 37th International Conference on Machine Learning, Virtual, July 12-18 2020. III, Hal Daumé und Singh, Aarti (Hrsg.): In: Proceedings of the 37th International Conference on Machine Learning, Bd. 119 PMLR. S. 778-787 [PDF, 630kB]

Büchler, Uta ORCID logoORCID: https://orcid.org/0000-0002-0074-8559; Brattoli, Biagio und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (30. Juli 2018): Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. 15th European Conference on Computer Vision (ECCV), München, 8.-14. September 2018. Ferrari, Vittorio; Hebert, Martial; Sminchisescu, Cristian und Weiss, Yair (Hrsg.): In: Computer Vision – ECCV 2018 Proceedings, Bd. 15 Cham: Springer International Publishing. S. 797-814 [PDF, 5MB]

Bernhart, Elias ORCID logoORCID: https://orcid.org/0000-0002-8858-0841 (18. Januar 2018): Orientierung zum Datenmanagement und Hinweise für die Erstellung eines Datenmanagementplans für qualitative Daten an der LMU München. [PDF, 1MB]

Bell, Peter und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2018): Computer Vision und Kunstgeschichte – Dialog zweier Bildwissenschaften. In: Kuroczyński, Piotr; Bell, Peter und Dieckmann, Lisa (Hrsg.): Computing Art Reader: Einführung in die digitale Kunstgeschichte. Computing in Art and Architecture, Bd. 1. Heidelberg: arthistoricum.net-ART-Books. S. 60-75 [PDF, 2MB]

Burghardt, Manuel; Isemann, Daniel; Kattenbeck, Markus; Ludwig, Bernd und Wolff, Christian (2018): Digital Humanities an der Universität Regensburg. Geschichte – Projekte – Studiengang. In: Klinke, Harald (Hrsg.): #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. S. 115-128 [PDF, 1MB]

Biagini, Francesca ORCID logoORCID: https://orcid.org/0000-0001-9801-5259 (2017): Quantitative Network Science (QNetS). CAS Concepts, Bd. 5. München: Ludwig-Maximilians-Universität. [PDF, 849kB]

Bell, Peter und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2016): Digital Connoisseur? How Computer Vision Supports Art History. In: Albl, Stefan und Aggujaro, Alina (Hrsg.): Il metodo del conoscitore: approcci, limiti, prospettive. Roma: Artemide. S. 187-197

Bell, Peter und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2016): Ramboux und der Computer. Experimente zum automatischen Sehen mit Kopien des Nazareners. In: Sölter, Ulf (Hrsg.): Italien so nah : Johann Anton Ramboux (1790-1866). Köln: Wienand. S. 80-89

Broschart, Daniel und Höhl, Wolfgang (1. April 2015): Augmented Reality in Architektur und Stadtplanung. Potenziale von Augmented Reality in Architektur und Stadtplanung. In: GIS Science, Nr. 1: S. 20-29 [PDF, 847kB]

Bell, Peter und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2015): Training Argus. Ansätze zum automatischen Sehen in der Kunstgeschichte. In: Kunstchronik: Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege, Bd. 68, Nr. 8: S. 414-420

Behmel, Andreas; Kienzl, Thomas und Höhl, Wolfgang (11. September 2014): [DEMO] MRI Design Review System. A Mixed Reality Interactive Design Review System for Architecture, Serious Games and Engineering using Game Engines, Standard Software, a Tablet Computer and Natural Interfaces. ISMAR 2014 International Symposium on Mixed and Augmented Reality, Technische Universität München, 08. - 12. September 2014. [PDF, 257kB]

Busa-Fekete, Róbert; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Szörényi, Balázs (2014): Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. 31st International Conference on Machine Learning (ICML 2014), Beijing, China, 21-26 June, 2014. Xing, Eric P. und Jebara, Tony (Hrsg.): In: Proceedings of the 31st International Conference on Machine Learning, Bd. 32, Nr. 2 Bejing, China: PMLR. S. 1071-1079 [PDF, 569kB]

Bell, Peter; Schlecht, Joseph und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (12. März 2013): Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History. In: Visual Resources, Bd. 29, Nr. 1-2: S. 26-37

Brinkhoff, Thomas; Horn, H.; Kriegel, Hans-Peter und Schneider, Ralf (1993): Eine Speicher- und Zugriffsarchitektur für effiziente Anfragebearbeitung in Geo-Datenbankensystemen. Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft, Braunschweig, 1993. 5. Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft (Hrsg.), In: Datenbanksysteme in Büro, Technik und Wissenschaft, Berlin: Springer. S. 356-374 [PDF, 2MB]

Bayer, Hieronymus (1831): Rede an die Studirenden der Ludwigs-Maximilians-Universität in München. München: Weber. [PDF, 6MB]

C

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 (2022): Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. International Joint Conference on Rough Sets, Suzhou, China, 11-14 November 2022. In: Rough Sets, Bd. 13633 Cham: Springer. S. 57-70

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2021): Rough set-based feature selection for weakly labeled data. In: International Journal of Approximate Reasoning: S. 150-167

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2020): Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Bd. 1237 Cham: Springer. S. 471-484 [PDF, 325kB]

Cornolti, Marco; Ferragina, Paolo; Ciaramita, Massimiliano; Rüd, Stefan und Schütze, Hinrich (Dezember 2018): SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. In: ACM Transactions on Information Systems, Bd. 37, Nr. 1, 13 [PDF, 1MB]

D

Dellnitz, Michael; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Lücke, Marvin ORCID logoORCID: https://orcid.org/0000-0001-8415-0038; Ober-Blöbaum, Sina; Offen, Christian ORCID logoORCID: https://orcid.org/0000-0002-5940-8057; Peitz, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-3389-793X und Pfannschmidt, Karlson ORCID logoORCID: https://orcid.org/0000-0001-9407-7903 (2023): Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning. In: SIAM Journal on Scientific Computing, Bd. 45, Nr. 2: A579-A595 [PDF, 671kB]

Dolata, Mateusz ORCID logoORCID: https://orcid.org/0000-0002-2732-4465; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Schwabe, Gerhard (2022): A sociotechnical view of algorithmic fairness. In: Information Systems Journal, Bd. 32, Nr. 4: S. 754-818

Dufter, Philipp; Kassner, Nora und Schütze, Hinrich (Juni 2021): Static Embeddings as Efficient Knowledge Bases? 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, June 6-11, 2021. Toutanova, Kristina (Hrsg.): In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Stroudsburg, PA: Association for Computational Linguistics. S. 2353-2363 [PDF, 340kB]

Dufter, Philipp und Schütze, Hinrich (November 2020): Identifying Elements Essential for BERT’s Multilinguality. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 16th – 20th November 2020. [PDF, 863kB]

Dari, Simone; Kadrileev, Nikolay und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2020): A Neural Network-Based Driver Gaze Classification System with Vehicle Signals. 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 19-24 July 2020. In: 2020 International Joint Conference on Neural Networks (IJCNN), S. 1-7

Dufter, Philipp und Schütze, Hinrich (1. Mai 2020): Identifying Necessary Elements for BERT’s Multilinguality. [PDF, 631kB]

Dufter, Philipp und Schütze, Hinrich (3. November 2019): Analytical Methods for Interpretable Ultradense Word Embeddings. , November 3–7, 2019, Hong Kong, China [PDF, 423kB]

Dufter, Philipp und Schütze, Hinrich (November 2018): A Stronger Baseline for Multilingual Word Embeddings. [PDF, 173kB]

Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander und Schütze, Hinrich (Juli 2018): Embedding Learning Through Multilingual Concept Induction. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Melbourne, Australia, July 15-20, 2018. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics Bd. 1 Association for Computational Linguistics. S. 1520-1530 [PDF, 453kB]

E

Eulig, Elias; Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X und Kachelrieß, Marc (2022): Reconstructing invariances of CT image denoising networks using invertible neural networks. 7th International Conference on Image Formation in X-Ray Computed Tomography, Baltimore, MD, 12-16 June 2022. Stayman, Joseph Webster (Hrsg.): In: 7th International Conference on Image Formation in X-Ray Computed Tomography, (ICIFXCT 2022), 113

Esser, Patrick; Rombach, Robin; Blattmann, Andreas und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2021): ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. 35th Conference on Neural Information Processing Systems (NeurIPS 2022), Online, 6-14 December 2021. Neural Information Processing Systems Foundation (Hrsg.), In: 35th Neural Information Processing Systems Foundation, Red Hook, NY: Curran Associates.

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Gupta, Pritha ORCID logoORCID: https://orcid.org/0000-0002-7277-4633; Ramaswamy, Arunselvan ORCID logoORCID: https://orcid.org/0000-0001-7547-8111; Drees, Jan Peter ORCID logoORCID: https://orcid.org/0000-0002-7982-9908; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Priesterjahn, Claudia ORCID logoORCID: https://orcid.org/0000-0001-7236-9411 und Jager, Tibor ORCID logoORCID: https://orcid.org/0000-0002-3205-7699 (Februar 2022): Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Virtual, February 3-5. In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, Bd. 2 S. 152-163 [PDF, 592kB]

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Galli, Leonardo ORCID logoORCID: https://orcid.org/0000-0002-8045-7101 und Lin, Chih-Jen : A Study on Truncated Newton Methods for Linear Classification. In: IEEE Transactions on Neural Networks and Learning Systems: 2828 -2841

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Hoffmann, Isabel; Engelmayr-Hofmann, Katrin und Gür-Şeker, Derya (2025): KI für AI-nsteiger: Künstliche Intelligenz im DaF/DaZ-Kontext. Ein Einführungspapier Version 2.0 (Stand: Februar 2025). [PDF, 3MB]

Herrmann, Moritz ORCID logoORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd (Juli 2024): Position: Why We Must Rethink Empirical Research in Machine Learning. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024. In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research Bd. 235 PMLR. S. 18228-18247 [PDF, 334kB]

Haensch, Anna-Carolina ORCID logoORCID: https://orcid.org/0000-0001-6772-0393 und Schunck, Reinhard (2024): Multiple Imputation for Systematically Missing Partner Variables in Survey Data. In: Sociological Methodology [Forthcoming]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Słowiński, Roman ORCID logoORCID: https://orcid.org/0000-0002-5200-7795 (2024): Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies—part II. In: 4OR - A Quarterly Journal of Operations Research, Bd. 22, Nr. 3: S. 313-349 [PDF, 654kB]

Hanselle, Jonas ORCID logoORCID: https://orcid.org/0000-0002-1231-4985; Kornowicz, Jaroslaw; Heid, Stefan; Thommes, Kirsten ORCID logoORCID: https://orcid.org/0000-0002-8057-7162 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Oktober 2023): Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023. Leyer, Michael und Wichmann, Johannes (Hrsg.): In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Bd. 3630 CEUR-WS.org. S. 430-441 [PDF, 953kB]

Haas, Stefan ORCID logoORCID: https://orcid.org/0000-0001-9916-0060 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (18. September 2023): Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Torino, Italy, 18-22 September, 2023. In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, Bd. 14174 S. 3-18

Hanselle, Jonas; Fürnkranz, Johannes und Hüllermeier, Eyke (2023): Probabilistic Scoring Lists for Interpretable Machine Learning. 26th International Conference on Discovery Science (DS 2023), Porto, Portugal, October 9-11, 2023. In: Discovery Science, Bd. 14276 Cham: Springer. S. 189-203 [PDF, 1MB]

Haas, Stefan ORCID logoORCID: https://orcid.org/0000-0001-9916-0060 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2022): A Prescriptive Machine Learning Approach for Assessing Goodwill in the Automotive Domain. Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022), Grenoble, France, 19-23 September, 2023. In: Machine Learning and Knowledge Discovery in Databases, Bd. 13718 Cham: Springer. S. 170-184

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Shaker, Mohammad Hossein (August 2022): Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison. 38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022. Cussens, James und Zhang, Kun (Hrsg.): In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Bd. 180 PMLR. S. 548-557 [PDF, 426kB]

Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet B. (Mai 2022): An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 22-27, 2022. Muresan, Smarandakov; Nakov, Preslav und Villavicencio, Aline (Hrsg.): In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Stroudsburg, PA: Association for Computational Linguistics. S. 385-393 [PDF, 480kB]

Hummler, Philipp; Naumzik, Christof und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Web Mining to Inform Locations of Charging Stations for Electric Vehicles. WWW '22: The ACM Web Conference 2022, Lyon, 25.04.2022-29.04.2022. Laforest, Frédérique; Troncy, Raphaël; Médini, Lionel und Herman, Ivan (Hrsg.): In: Companion Proceedings of the Web Conference 2022, New York: Association for Computing Machinery (ACM). S. 166-170

Hünemörder, Maximilian ORCID logoORCID: https://orcid.org/0000-0001-9848-3714; Schäfer, Levin; Schüler, Nadine-Sarah; Eichberg, Michael und Kröger, Peer (2022): SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings. 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022. In: Advanced Data Mining and Applications. 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings, Part II, Lecture Notes in Computer Science Bd. 13726 Cham: Springer. S. 28-42

Haddenhorst, Björn ORCID logoORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (7. Dezember 2021): Identification of the Generalized Condorcet Winner in Multi-dueling Bandits. Advances in Neural Information Processing Systems, Virtual, December 7 2021. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. und Vaughan, J. Wortman (Hrsg.): Bd. 34 Curran Associates, Inc.. S. 25904-25916 [PDF, 516kB]

Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich (August 2021): Dynamic Contextualized Word Embeddings. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021. Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.): In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics. S. 6970-6984 [PDF, 4MB]

Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich (August 2021): Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021. Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.): In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), S. 3594-3608 [PDF, 1MB]

Haddenhorst, Björn ORCID logoORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor; Brandt, Jasmin und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (27. Juli 2021): Testification of Condorcet Winners in dueling bandits. Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Virtual, July 27-30, 2021. de Campos, Cassio und Maathuis, Marloes H. (Hrsg.): In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Bd. 161 PMLR. S. 1195-1205 [PDF, 875kB]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem (März 2021): Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. In: Machine Learning, Nr. 3: S. 457-506 [PDF, 4MB]

Hatt, Tobias und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Estimating Average Treatment Effects via Orthogonal Regularization. CIKM: Conference on Information and Knowledge Management, Queensland, 01.11.2021-05.11.2021. In: CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, S. 680-689

Hatt, Tobias; Tschernutter, Daniel und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Generalizing Off-Policy Learning under Sample Selection Bias. UAI 2022, Eindhoven, 01.08.2022-05.08.2022. arXiv.

Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich (November 2020): DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 16. – 20. November 2020. [PDF, 2MB]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2020): Towards Analogy-Based Explanations in Machine Learning. Modeling Decisions for Artificial Intelligence, Sant Cugat, Spain, September 2–4, 2020. In: Modeling Decisions for Artificial Intelligence, Bd. 12256 Cham: Springer. S. 205-217 [PDF, 859kB]

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Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424 und Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 (April 2023): Naive automated machine learning. In: Machine Learning, Bd. 112, Nr. 4: S. 1131-1170 [PDF, 7MB]

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Milbich, Timo ORCID logoORCID: https://orcid.org/0000-0002-5012-0874; Roth, Karsten; Brattoli, Biagio ORCID logoORCID: https://orcid.org/0000-0002-8482-3375 und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2022): Sharing Matters for Generalization in Deep Metric Learning. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bd. 44, Nr. 1: S. 416-427

Müller, Simone ORCID logoORCID: https://orcid.org/0000-0001-5830-8655 und Kranzlmüller, Dieter ORCID logoORCID: https://orcid.org/0000-0002-8319-0123 (2022): Dynamic Sensor Matching based on Geomagnetic Inertial Navigation. In: Journal of WSCG, Bd. 30, Nr. 1-2 [PDF, 5MB]

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Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424; Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Februar 2021): Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI Conference on Artificial Intelligence, Virtual, February 2–9, 2021. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 35, Nr. 14 S. 12373-12381

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Monroy, Antonio und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2012): Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping. 12th European Conference on Computer Vision (ECCV), Florenz, Oktober 2012. Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi und Schmid, Cordelia (Hrsg.): In: Computer Vision – ECCV 2012 Proceedings, Bd. 3 Berlin: Springer International Publishing. S. 580-593

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Nguyen, Duc Anh; Levie, Ron; Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Kutyniok, Gitta ORCID logoORCID: https://orcid.org/0000-0001-9738-2487 (Mai 2023): Memorization-Dilation: Modeling Neural Collapse Under Noise. The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 1-5 May, 2023. [PDF, 510kB]

Naumzik, Christof und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Detecting False Rumors from Retweet Dynamics on Social Media. TheWebConf 2022, Lyon, 25.04.2022-29.04.2022. Laforest, Frédérique; Troncy, Raphaël; Simperl, Elena; Agarwal, Deepak; Gionis, Aristides; Herman, Ivan und Médini, Lionel (Hrsg.): In: WWW '22: Proceedings of the ACM Web Conference 2022, New York: Association of Computing Machinery. S. 2798-2809

Naumzik, Christof; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Nielsen, Anne Molgaard (2022): Data-driven dynamic treatment planning for chronic diseases. arXiv

Nalenz, Malte und Augustin, Thomas (11. November 2021): Cultivated Random Forests: Robust Decision Tree Learning through Tree Structured Ensembles. Department of Statistics: Technical Reports, Nr. 240 [PDF, 463kB]

Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2. November 2021): Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence. In: Journal of Artificial Intelligence Research, Bd. 72: S. 613-665 [PDF, 1MB]

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Omar, Aziz und Augustin, Thomas ORCID logoORCID: https://orcid.org/0000-0002-1854-6226 (2023): Imprecise Learning from Misclassified and Incomplete Categorical Data with Unknown Error Structure. 10th International Conference on Soft Methods in Probability and Statistics (SMPS), Valladolid, Spain, 14. -16. September 2022. In: Building Bridges between Soft and Statistical Methodologies for Data Science, Advances in Intelligent Systems and Computing Bd. 1433 Cham: Springer. S. 295-302

Ozyurt, Yilmazcan; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Zhang, Ce (2022): Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR 2023, Kigali, 01.05.2023-05.05.2023. arXiv.

Ozyurt, Yilmazcan; Hatt, Tobias; Zhang, Ce und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): A Deep Markov Model for Clickstream Analytics in Online Shopping. TheWebConf 2022, Lyon, 25.04.2022-29.04.2022. Laforest, Frédérique; Troncy, Raphaël; Agarwal, Deepak; Gionis, Aristides; Herman, Ivan und Médini, Lionel (Hrsg.): In: Proceedings of the ACM Web Conference 2022, New York: Association for Computing Machinery. S. 3071-3081

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Pröllochs, Nicolas und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? CSCW 2023, Minneapolis, 14.10.2023-18.10.2023.

Peeters, Sven; Melnikov, Vitalik und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (26. April 2021): Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games. 19th International Symposium on Intelligent Data Analysis, Porto, Portugal, April 26–28, 2021. In: Advances in Intelligent Data Analysis XIX, Bd. 12695 S. 222-234

Persson, Joel; Parie, Jurriaan F. und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Monitoring the COVID-19 epidemic with nationwide telecommunication data. In: PNAS: Proceedings of the National Academy of Sciences, Bd. 118, Nr. 26 [PDF, 2MB]

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Poerner, Nina; Roth, Benjamin und Schütze, Hinrich (Juli 2018): Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. The 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15. - 20. July 2018. Gurevych, Iryna und Miyao, Yusuke (Hrsg.): In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 340-350 [PDF, 669kB]

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Rombach, Robin; Blattmann, Andreas und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (26. Juli 2022): Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. 17th European Conference on Computer Vision (ECCV) : Workshop on VISART, Tel Aviv, 23.-27. October 2022.

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Rahnama, Javad und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (5. Juni 2020): Learning Tversky Similarity. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Bd. 1238 Cham: Springer. S. 269-280 [PDF, 418kB]

Reißer, Alexandra ORCID logoORCID: https://orcid.org/0000-0001-5560-1901; Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949 und Schulz, Julian ORCID logoORCID: https://orcid.org/0000-0003-4374-2680 (April 2020): Schmankerl Time Machine. Die Speisekarte als Datenträger des kulturellen Gedächtnisses. In: Marquart, Vivienne und Sterzinger-Killermann, Clara (Hrsg.): Zwei Kugeln süß-sauer mit scharf! Münchens migrantisch geprägte Gastronomie. Münchner Beiträge zur Migrationsgeschichte, Bd. 4. München: Allitera. S. 153-172 [PDF, 909kB]

Rombach, Robin; Esser, Patrick und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2020): Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. 16th European Conference on Computer Vision (ECCV), Glasgow, 23.-28. August 2020. Vedaldi, Andrea; Bischof, Horst; Brox, Thomas und Frahm, Jan-Michael (Hrsg.): In: Computer Vision – ECCV 2020 Proceedings, Bd. 17 Cham: Springer International Publishing. S. 647-664

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Riepl, Christian (2018): Von der IT-Gruppe Geisteswissenschaften zu einem LMU Center for Digital Humanities? Zu Entwicklung, Mehrwert und Nachhaltigkeit des Digitalen. In: Klinke, Harald (Hrsg.): #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. S. 57-75 [PDF, 811kB]

Rubio, Jose C. ORCID logoORCID: https://orcid.org/0000-0003-1270-354X; Eigenstetter, Angela und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (Dezember 2015): Generative regularization with latent topics for discriminative object recognition. In: Pattern Recognition, Bd. 48, Nr. 12: S. 3871-3880

Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. 1. Auflage. München: Weiß. [PDF, 16MB]

Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. Zweite Auflage. München: Weiß. [PDF, 23MB]

Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. Dritte, mit einem Vorworte vermehrte Auflage. München: Fleischmann. [PDF, 7MB]

Rodemann, Julian; Jansen, Christoph; Schollmeyer, Georg und Bailie, James : Towards Reciprocal Learning Theory: Can We Generalize From Self-Selected Data? 2nd Workshop on Learning Under Weakly Structured Information (LUWSI), Tübingen, 7. April 2025. [PDF, 6MB]

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Stenzel, Gerhard; Kölle, Michael; Rohe, Tobias; Mansky, Maximilian; Nüßlein, Jonas und Gabor, Thomas (2025): QMamba: Quantum Selective State Space Models for Text Generation. , Porto, Portugal, 23. - 25. Februar 2025. SciTePress. S. 742-750

Sale, Yusuf; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Caprio, Michele und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2024): Second-Order Uncertainty Quantification: A Distance-Based Approach. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024. In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research Bd. 235 PMLR. S. 43060-43076 [PDF, 2MB]

Schalk, Daniel; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980 und Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202 (2024): Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models. In: Statistics and Computing, Bd. 34, Nr. 1, 31 [PDF, 835kB]

Seeliger, Arne ORCID logoORCID: https://orcid.org/0000-0001-7127-8104; Weibel, Raphael P. ORCID logoORCID: https://orcid.org/0000-0002-8854-7507 und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2024): Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. In: International Journal of Human–Computer Interaction, Bd. 40, Nr. 3: S. 761-781 [PDF, 3MB]

Senoner, Julian; Kratzwald, Bernhard; Kuzmanovic, Milan; Netland, Torbjørn H. und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (Oktober 2023): Addressing distributional shifts in operations management. The case of order fulfillment in customized production. In: Production and Operations Management, Bd. 32, Nr. 10: S. 3022-3042 [PDF, 1MB]

Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin (19. August 2023): A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, S. 6964-6968

Sale, Yusuf; Caprio, Michele und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (August 2023): Is the volume of a credal set a good measure for epistemic uncertainty? Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023. Evans, Robin J. und Shpitser, Ilya (Hrsg.): In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Bd. 216 PMLR. S. 1795-1804 [PDF, 1MB]

Schubert, David; Gupta, Pritha ORCID logoORCID: https://orcid.org/0000-0002-7277-4633 und Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 (April 2023): Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. Advances in Intelligent Data Analysis XXI, Louvain-la-Neuve, Belgium, 12-14 April 2023. Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.): Cham: Springer Nature Switzerland. S. 392-405 [PDF, 599kB]

Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike (Februar 2023): Property-Driven Black-Box Testing of Numeric Functions. Software Engineering 2023, Paderborn, Germany, 20-24 February 2023. Engels, Gregor; Hebig, Regina und Tichy, Matthias (Hrsg.): 111-112 Bonn: Gesellschaft für Informatik e.V.. S. 111-112 [PDF, 213kB]

Schallmoser, Simon ORCID logoORCID: https://orcid.org/0000-0003-4076-0584; Zueger, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6190-7405; Kraus, Mathias ORCID logoORCID: https://orcid.org/0000-0002-2021-2743; Saar-Tsechansky, Maytal ORCID logoORCID: https://orcid.org/0000-0002-2400-3762; Stettler, Christoph ORCID logoORCID: https://orcid.org/0000-0003-1691-6059 und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2023): Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study. In: Journal of Medical Internet Research, Bd. 25, e42181

Schön, Dominik ORCID logoORCID: https://orcid.org/0000-0003-2704-2852; Kosch, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6300-9035; Müller, Florian ORCID logoORCID: https://orcid.org/0000-0002-9621-6214; Schmitz, Martin ORCID logoORCID: https://orcid.org/0000-0002-7332-3287; Günther, Sebastian ORCID logoORCID: https://orcid.org/0000-0003-1281-2180; Bommhardt, Lukas ORCID logoORCID: https://orcid.org/0000-0001-5283-2499 und Mühlhäuser, Max ORCID logoORCID: https://orcid.org/0000-0003-4713-5327 (2023): Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented Reality. CHI conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, 23. - 28. April 2023. Schmidt, Albrecht ORCID logoORCID: https://orcid.org/0000-0003-3890-1990 (Hrsg.): In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 400 New York: Association for Computing Machinery. S. 1-14

Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin (Oktober 2022): A Survey of Methods for Automated Algorithm Configuration. In: Journal of Artificial Intelligence Research, Bd. 75: S. 425-487 [PDF, 852kB]

Schneider, Matthias und Linnhoff-Popien, Claudia (5. Juli 2022): Quantencomputer für alle: Wie Münchner Forscher die Superrechenleistung zur Wirtschaft bringen. In: Münchner Merkur: S. 7

Steinborn, Victor; Dufter, Philipp; Jabbar, Haris und Schütze, Hinrich (Juli 2022): An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models. NAACL 2022, Seattle, United States, July 2022. Carpuat, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.): In: Findings of the Association for Computational Linguistics: NAACL 2022 - Findings : July 10-15, 2022 : NAACL 2022, Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 921-932 [PDF, 2MB]

Senel, Lütfi Kerem; Schick, Timo und Schütze, Hinrich (Mai 2022): CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 2022. Muresan, Smaranda; Nakov, Preslav und Villavicencio, Aline (Hrsg.): In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Stroudsburg, PA: Association for Computational Linguistics. S. 815-824 [PDF, 290kB]

Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike (Mai 2022): Property-Driven Testing of Black-Box Functions. 2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE), Pittsburgh, PA, USA, 22-23 May 2022. S. 113-123

Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949; Springstein, Matthias; Rahnama, Javad; Kohle, Hubertus ORCID logoORCID: https://orcid.org/0000-0003-3162-1304; Ewerth, Ralph ORCID logoORCID: https://orcid.org/0000-0003-0918-6297 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (März 2022): iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen. DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum", Potsdam, 7. - 11. März 2022. [PDF, 18MB]

Sprinz, Johannah ORCID logoORCID: https://orcid.org/0000-0002-6425-7054 (10. Februar 2022): Crowdsourced User-Testing. Bachelor Thesis Presentation “Leveraging Human Computation for Quality Assurance in Open Source Communities”. Ludwig-Maximilians-Universität München [Video (MP4), 249MB]

Sprinz, Johannah ORCID logoORCID: https://orcid.org/0000-0002-6425-7054 (29. Januar 2022): Leveraging Human Computation for Quality Assurance in Open Source Communities. Bachelorarbeit, Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München. [PDF, 3MB]

Seeliger, Arne; Netland, Torbjørn und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Augmented Reality for Machine Setups: Task Performance and Usability Evaluation in a Field Test. In: Procedia CIRP, Bd. 107: S. 570-575

Schick, Timo; Udupa, Sahana ORCID logoORCID: https://orcid.org/0000-0003-3647-9570 und Schütze, Hinrich (17. Dezember 2021): Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP. In: Transactions of the Association for Computational Linguistics, Bd. 9: S. 1408-1424 [PDF, 411kB]

Schick, Timo und Schütze, Hinrich (November 2021): Few-Shot Text Generation with Natural Language Instructions. 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7–11, 2021. Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.): In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA: Association for Computational Linguistics. S. 390-402 [PDF, 504kB]

Schick, Timo und Schütze, Hinrich (November 2021): Generating Datasets with Pretrained Language Models. 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7-11, 2021. Moens, Marie-Francine; Specia, Lucia; Huang, Xuanjing und Yih, Scott Wen-tau (Hrsg.): In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA: Association for Computational Linguistics. S. 6943-6951 [PDF, 431kB]

Springstein, Matthias; Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949; Rahnama, Javad; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Kohle, Hubertus ORCID logoORCID: https://orcid.org/0000-0003-3162-1304 und Ewerth, Ralph ORCID logoORCID: https://orcid.org/0000-0003-0918-6297 (Oktober 2021): iART: A Search Engine for Art-Historical Images to Support Research in the Humanities. 29th ACM International Conference on Multimedia, Virtual, October 20 - 24, 2021. In: Proceedings of the 29th ACM International Conference on Multimedia, S. 2801-2803 [PDF, 14MB]

Schick, Timo und Schütze, Hinrich (Juni 2021): It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, June 2021. Toutanova, Kristina (Hrsg.): In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Stroudsburg, PA: Association for Computational Linguistics. S. 2339-2352 [PDF, 475kB]

Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2021): TSK-Streams: learning TSK fuzzy systems for regression on data streams. In: Data Mining and Knowledge Discovery, Nr. 5: S. 1941-1971 [PDF, 598kB]

Schick, Timo und Schütze, Hinrich (April 2021): Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference. 16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 19-23, 2021. Merlo, Paola; Tiedemann, Jörg und Tsarfaty, Reut (Hrsg.): In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Stroudsburg, PA: Association for Computational Linguistics. S. 255-269 [PDF, 493kB]

Senel, Lutfi Kerem und Schütze, Hinrich (April 2021): Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. 16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 19-23, 2021. Merlo, Paola; Tiedemann, Jörg und Tsarfaty, Reut (Hrsg.): In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Stroudsburg, PA: Association for Computational Linguistics. S. 532-538 [PDF, 239kB]

Schwartz, Daniel L. ORCID logoORCID: https://orcid.org/0000-0001-6986-9650; Gibson, Nathan P. ORCID logoORCID: https://orcid.org/0000-0003-0786-8075 und Torabi, Katayoun ORCID logoORCID: https://orcid.org/0000-0001-7692-1410 (21. März 2021): Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data. In: Journal of the Text Encoding Initiative, Bd. Rolling Issue [PDF, 530kB]

Sanakoyeu, Artsiom; Ma, Pingchuan; Tschernezki, Vadim und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2021): Improving Deep Metric Learning by Divide and Conquer. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bd. 44, Nr. 11: S. 8306-8320

Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949; Springstein, Matthias; Rahnama, Javad; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Ewerth, Ralph ORCID logoORCID: https://orcid.org/0000-0003-0918-6297 und Kohle, Hubertus ORCID logoORCID: https://orcid.org/0000-0003-3162-1304 (2021): The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects. INFORMATIK 2020 - Back to the Future, Virtual, 28 September - 2 October 2020. Reussner, Ralf H.; Koziolek, Anne und Heinrich, Robert (Hrsg.): In: INFORMATIK 2020, 1355-1364 Bonn: Gesellschaft für Informatik. [PDF, 1MB]

Seeliger, Arne; Merz, Gerrit; Holz, Christian und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. 2021 IEEE International Symposium on Mixed and Augmented Reality (SMAR), Online, 04.10.2021-08.10.2021. In: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), S. 159-164

Senoner, Julian; Netland, Torbjörn und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing. In: Management Science, Bd. 68, Nr. 8: S. 5704-5723 [PDF, 1MB]

Schick, Timo; Schmid, Helmut und Schütze, Hinrich (Dezember 2020): Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. The 28th International Conference on Computational Linguistics, Online, 8. - 11. Dezember 2020. [PDF, 275kB]

Severini, Silvia; Hangya, Viktor; Fraser, Alexander und Schütze, Hinrich (Dezember 2020): Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction. The 28th International Conference on Computational Linguistics, Online, 8. - 13. Dezember 2020. [PDF, 235kB]

Schick, Timo und Schütze, Hinrich (6. Juli 2020): BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. The 58th Annual Meeting of the Association for Computational Linguistics, Seattle, USA, July 6 – 8, 2020. [PDF, 399kB]

Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949 (Juni 2020): Museum Analytics. Museale Sammlungen neu und anders entdecken. In: Museumskunde, Bd. 84

Sabet, Masoud Jalili; Dufter, Philipp und Schütze, Hinrich (27. April 2020): SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. In: Findings of ACL: EMNLP 2020 [PDF, 1MB]

Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (April 2020): Aleatoric and Epistemic Uncertainty with Random Forests. International Symposium on Intelligent Data Analysis, Bodenseeforum, Lake Constance, Germany, April 27-29 2020. In: Advances in Intelligent Data Analysis XVIII, Bd. 12080 Cham: Springer. S. 444-456 [PDF, 1MB]

Sedinkina, Marina; Breitkopf, Nikolas und Schütze, Hinrich (28. Juli 2019): Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes. , July 28 - August 2, 2019, Florence, Italy [PDF, 301kB]

Schick, Timo und Schütze, Hinrich (Juni 2019): Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 2. - 7. June 2019. Association for Computational Linguistics. [PDF, 304kB]

Schick, Timo und Schütze, Hinrich (April 2019): Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12, 2020. [PDF, 372kB]

Schick, Timo und Schütze, Hinrich (Januar 2019): Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. Thirty-Third AAAI Conference on Artificial Intelligence; AAAI-2019, Honolulu, Hawaii, USA, 27. January – 01. February 2019. [PDF, 165kB]

Sagstetter, Thomas (2019): Digitaler Strukturwandel und Privatrecht – Neue Regeln für Big Data & Co.? In: Husemann, Tim; Korves, Robert; Rosenkranz, Frank; Schmitt, Laura; Arnold, Litó; Beke-Martos, Judit; Dördelmann, Philipp; Häsemeyer, Skrollan; Kämper, Ludger; Musinsky, Daniel; Tadus, Daria; Tophof, Alexander und Antje, Weirauch (Hrsg.): Strukturwandel und Privatrecht. Jahrbuch Junge Zivilrechtswissenschaft, Baden-Baden: Nomos Verlag. S. 1-28 [PDF, 426kB]

Schmitt, Martin; Steinheber, Simon und Schreiber, Konrad (Oktober 2018): Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. 2018 Conference on Empirical Methods in Natural Language Processing; EMNLP 2018, Brussels, Belgium, 31. October - 02. November 2018. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Stroudsburg PA: Association for Computational Linguistics. S. 1109-1114 [PDF, 193kB]

Sanakoyeu, Artsiom; Bautista, Miguel A. und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2018): Deep unsupervised learning of visual similarities. In: Pattern Recognition, Bd. 78: S. 331-343

Sanakoyeu, Artsiom; Kotovenko, Dmytro; Lang, Sabine ORCID logoORCID: https://orcid.org/0000-0003-2543-0085 und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2018): A Style-Aware Content Loss for Real-Time HD Style Transfer. 15th European Conference on Computer Vision (ECCV), München, 8.-14. September 2018. Ferrari, Vittorio; Hebert, Martial; Sminchisescu, Cristian und Weiss, Yair (Hrsg.): In: Computer Vision – ECCV 2018 Proceedings, Bd. 8 Cham: Springer International Publishing. S. 715-731

Schneider, Stefanie (2018): Das DHVLab Analysecenter. Ein Tool zur datengestützten Forschung in den Geisteswissenschaften. In: Klinke, Harald (Hrsg.): #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. S. 47-56 [PDF, 8MB]

Schulz, Julian ORCID logoORCID: https://orcid.org/0000-0003-4374-2680 (2018): Auf dem Weg zu einem DH-Curriculum Digital Humanities in den Geschichts- und Kunstwissenschaften an der LMU München. In: Klinke, Harald (Hrsg.): #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. S. 77-101 [PDF, 795kB]

Seemann, Nina; Merten, Marie-Luis; Geierhos, Michaela; Tophinke, Doris und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (August 2017): Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Vancouver, Canada, August, 2017. In: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Vancouver, Canada: Association for Computational Linguistics. S. 40-45 [PDF, 125kB]

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Udupa, Sahana ORCID logoORCID: https://orcid.org/0000-0003-3647-9570; Gagliardone, Iginio; Deem, Alexandra und Csuka, Laura (2020): Field of disinformation, democratic processes and conflict. In: Social Science Research Council

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Wimmer, Lisa; Sale, Yusuf; Hofman, Paul; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023. Evans, Robin J. und Shpitser, Ilya (Hrsg.): In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Bd. 216 PMLR. S. 2282-2292 [PDF, 1MB]

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Yue, Zhenrui; Kratzwald, Bernhard und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2021): Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. EMNLP 2021, Online, 07.11.2021-11.11.2021. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, S. 9575-9593

Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy; Agirre, Eneko und Schütze, Hinrich (28. Juli 2019): Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. , July 28 - August 2, 2019, Florence, Italy [PDF, 690kB]

Yaghoobzadeh, Yadollah und Schütze, Hinrich (Oktober 2018): Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing. 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31. October - 04. November 2018. Riloff, Ellen; Chiang, David; Hockenmaier, Julia und Tsujii, Jun’ichi (Hrsg.): In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing Stroudsburg PA: Association for Computational Linguistics. S. 3060-3066 [PDF, 292kB]

Yin, Wenpeng; Yaghoobzadeh, Yadollah und Schütze, Hinrich (August 2018): Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. The 27th International Conference on Computational Linguistics; COLING2018, Santa Fe, New Mexico, USA, 20. - 26. August 2018. Bender, Emily M.; Derczynski, Leon und Isabelle, Pierre (Hrsg.): In: Proceedings of the 27th International Conference on Computational Linguistics, Stroudsburg, PA: Association for Computational Linguistics. S. 2369-2378 [PDF, 424kB]

Yaghoobzadeh, Yadollah; Adel, Heike und Schütze, Hinrich (April 2018): Corpus-Level Fine-Grained Entity Typing. In: Journal of Artificial intelligence Research, Bd. 61: S. 835-862 [PDF, 1MB]

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Yarlagadda, Pradeep; Monroy, Antonio; Carqué, Bernd und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2013): Towards a Computer-Based Understanding of Medieval Images. In: Bock, Hans Georg; Jäger, Willi und Winckler, Michael J. (Hrsg.): Scientific Computing and Cultural Heritage. Berlin: Springer. S. 89-97

Yarlagadda, Pradeep und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2012): From Meaningful Contours to Discriminative Object Shape. 12th European Conference on Computer Vision (ECCV), Florenz, Oktober 2012. Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi und Schmid, Cordelia (Hrsg.): In: Computer Vision – ECCV 2012 Proceedings, Bd. 1 Cham: Springer International Publishing. S. 766-779

Yarlagadda, Pradeep; Monroy, Antonio und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2010): Voting by Grouping Dependent Parts. 11th European Conference on Computer Vision (ECCV), Heraklion, September 2010. Daniilidis, Kostas; Maragos, Petros und Paragios, Nikos (Hrsg.): In: Computer Vision – ECCV 2010 Proceedings, Bd. 5 Cham: Springer International Publishing. S. 197-210

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Zhao, Mengjie; Mi, Fei; Wang, Yasheng; Li, Minglei; Jiang, Xin; Liu, Qun und Schütze, Hinrich (Juli 2022): LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework. NAACL 2022, Seattle, United States, July 2022. Carpuat,, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.): In: Findings of the Association for Computational Linguistics: NAACL 2022, Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 675-692 [PDF, 2MB]

Zueger, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6190-7405; Schallmoser, Simon; Kraus, Mathias; Saar-Tsechansky, Maytal; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Stettler, Christoph (2022): Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes. In: Diabetes Technology & Therapeutics, Bd. 24, Nr. 11: S. 842-847

Zhao, Mengjie und Schütze, Hinrich (November 2021): Discrete and Soft Prompting for Multilingual Models. 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 2021. Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.): In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Stroudsburg PA: Association for Computational Linguistics. [PDF, 383kB]

Zhao, Mengjie; Zhu, Yi; Shareghi, Ehsan; Vulic, Ivan; Reichart, Roi; Korhonen, Anna und Schütze, Hinrich (August 2021): A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021. Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.): In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics. S. 5751-5767 [PDF, 737kB]

Zhao, Mengjie; Dufter, Philipp; Yaghoobzadeh, Yadollah und Schütze, Hinrich (2020): Quantifying the Contextualization of Word Representations with Semantic Class Probing. In: Findings of ACL: EMNLP 2020 [PDF, 495kB]

Zhao, Mengjie und Schütze, Hinrich (28. Juli 2019): A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction. , July 28 - August 2, 2019, Florence, Italy [PDF, 544kB]

Zedelmaier, Helmut (2016): Christoph Just Udenius and the German ars excerpendi around 1700. On the Flourishing and Disappearance of a Pedagogical Genre. In: Cevolini, Alberto (Hrsg.): Forgetting machines: knowledge management evolution in early modern Europe. Library of the written word, Bd. 53. Leiden ; Boston: Brill. S. 79-104

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