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Anzahl der Publikationen auf dieser Ebene: 341

A

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]

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.

Esser, Patrick; Haux, Johannes; Milbich, Timo ORCID logoORCID: https://orcid.org/0000-0002-5012-0874 und Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X (2019): Towards Learning a Realistic Rendering of Human Behavior. 9th International Workshop on Human Behavior Understanding : Generating Visual Data on Human Behavior (HBUGEN): In conjunction with ECCV, München, 9. September 2018. Leal-Taxié, Laura und Roth, Stefan (Hrsg.): In: Computer Vision – ECCV 2018 Workshops, Bd. 2 Cham: Springer International Publishing. S. 409-425

Ess, Hans van (2016): Zur Situation der Geisteswissenschaften heute. CAS eSeries, Bd. 13. München: Ludwig-Maximilians-Universität. [PDF, 1MB]

Erhard, Florian; Doelken, Lars; Jaskiewicz, Lukasz und Zimmer, Ralf (2013): PARma: identification of microRNA target sites in AGO-PAR-CLIP data. In: Genome Biology 14:R79 [PDF, 3MB]

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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]

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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]

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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]

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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.

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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]

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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

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]

Schütz, Franz X. (2014): Why work with geographers in reconstructions and visualizations of ancient Rome? An application of the landscape(t)-model. In: Häuber, Chrystina; Schütz, Franz X. und Winder, Gordon M. (Hrsg.): Reconstruction and the Historic City: Rome and Abroad - an interdisciplinary approach. Beiträge zur Wirtschaftsgeographie München, Bd. 6. München: LMU, Department für Geographie, Lehr- und Forschungseinheit Wirtschaftsgeographie. S. 108-127 [PDF, 2MB]

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora und Mayr, Andreas (2013): Boosted Beta regression.
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Swoboda, Walter J.; Mühlberger, Nikolai; Weitkunat, Rolf und Schneeweiß, Sebastian (1997): Internet Surveys by Direct Mailing: An Innovative Way of Collecting Data. In: Social Science Computer Review, Bd. 15, Nr. 3: S. 242-255 [PDF, 848kB]

Sardari, Faegheh; Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X und Mirmehdi, Majid : Unsupervised View-Invariant Human Posture Representation. 32nd British Machine Vision Conference, Online, 22- 25 November 2021. In: BMVC 2021 : papers, British Machine Vision Association. [PDF, 3MB]

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Tornede, Tanja ORCID logoORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Fehring, Lukas ORCID logoORCID: https://orcid.org/0000-0001-8057-4650; Gehring, Lukas; Graf, Helena ORCID logoORCID: https://orcid.org/0000-0001-9447-0609; Hanselle, Jonas ORCID logoORCID: https://orcid.org/0000-0002-1231-4985; Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424 und Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 (20. April 2023): PyExperimenter: Easily distribute experiments and track results. In: Journal of Open Source Software, Bd. 8, Nr. 84: S. 5149 [PDF, 236kB]

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Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2022): Machine Learning for Online Algorithm Selection under Censored Feedback. Thirty-Sixth AAAI Conference on Artificial Intelligence, Virtual, February 22–March 1, 2022. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 36, Nr. 9 S. 10370-10380

Toetzke, Malte; Banholzer, Nicolas und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Monitoring global development aid with machine learning. In: Nature Sustainability, Bd. 5: S. 533-541

Tschernutter, Daniel; Hatt, Tobias und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Interpretable Off-Policy Learning via Hyperbox Search. ICML 2022, Baltimore, 17.07.2022-23.07.2022. arXiv.

Trautmann, Dietrich; Fromm, Michael; Tresp, Volker; Seidl, Thomas und Schütze, Hinrich (2020): Relational and Fine-Grained Argument Mining. The LMU Munich project ReMLAV within the DFG Priority Program RATIO “Robust Argumentation Machines”. In: Datenbank-Spektrum, Bd. 20, Nr. 2: S. 99-105 [PDF, 365kB]

Thurman, Neil (2017): Social media, surveillance and news work: On the apps promising journalists a "crystal ball". In: Digital Journalism [PDF, 1MB]

Thurman, Neil; Doerr, Konstantin und Kunert, Jessica (2017): When Reporters get Hands-on with Robo-writing: Professionals Consider Automated Journalism’s Capabilities and Consequences. In: Digital Journalism [PDF, 572kB]

Thurman, Neil; Schifferes, Steve; Fletcher, Richard; Nic, Newman; Hunt, Stephen und Aljosha, Schapals (23. Februar 2016): Giving computers a nose for news: exploring the limits of story detection and verification. In: Digital Journalism, Bd. 4, Nr. 7: S. 838-848 [PDF, 311kB]

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Toetzke, Malte; Probst, Benedict und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 : Leveraging large language models to monitor climate technology innovation. In: Environmental Research Letters

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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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Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Özdogan, Miran und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification. Genetic and Evolutionary Computation Conference (GECCO '23), Lisbon, Portugal, July 15-19, 2023. In: Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA: Association for Computing Machinery. 597–605

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]

Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili und Schütze, Hinrich (Mai 2022): CaMEL: Case Marker Extraction without Labels. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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 1: Long Papers), Stroudsburg, PA: Association for Computational Linguistics. S. 5506-5516 [PDF, 380kB]

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Weitkämper, Felix ORCID logoORCID: https://orcid.org/0000-0002-3895-8279 (2021): Axiomatizing Boolean Differentiation. In: Große, Daniel und Drechsler, Rolf (Hrsg.): Recent Findings in Boolean Techniques. Selected Papers from the 14th International Workshop on Boolean Problems. Cham: Springer. S. 83-104 [PDF, 333kB]

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Wahl, Anna-Sophia; Büchler, Uta ORCID logoORCID: https://orcid.org/0000-0002-0074-8559; Brandli, Andre; Brattoli, Biagio; Musall, S.; Kasper, Haino Uwe; Ineichen, B. V.; Helmchen, Fritjof ORCID logoORCID: https://orcid.org/0000-0002-8867-9569; Ommer, Björn ORCID logoORCID: https://orcid.org/0000-0003-0766-120X und Schwab, Martin E. (2017): Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation. In: Nature Communications, Bd. 8, Nr. 1: S. 1187 [PDF, 2MB]

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Yue, Zhenrui; Zeng, Huimin; Kratzwald, Bernhard; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 und Wang, Dong (2022): QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. EMNLP 2022, Abu Dhabi, 07.12.2022-11.12.2022. arXiv.

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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