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Anzahl der Publikationen auf dieser Ebene: 264

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

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

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

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

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

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

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

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. Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022. Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):

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. Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022. Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):

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

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

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

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

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

Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Labreuche, Christophe und Sebag, Michèle (2020): 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

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]

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]

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]

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

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

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

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

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]

F

Fumagalli, Fabian ORCID logoORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6921-0204; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID logoORCID: https://orcid.org/0000-0002-0935-5591 (September 2023): Incremental permutation feature importance (iPFI): towards online explanations on data streams. In: Machine Learning, Bd. 112, Nr. 12: S. 4863-4903

Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729; Shrestha, Yash Raj und Krogh, Georg von (2022): Bringing artificial intelligence to business management. In: Nature Machine Intelligence, Bd. 4: S. 611-613

Frauen, Dennis und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR 2023, Kigali, 01.05.2023-05.05.2023. arXiv.

Frauen, Dennis; Hatt, Tobias; Melnychuk, Valentyn und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Estimating average causal effects from patient trajectories. AAAI-23, Washington D.C., 07.02.2023-14.02.2023. arXiv.

Föll, Simon ORCID logoORCID: https://orcid.org/0000-0002-4364-4282; Lison, Adrian ORCID logoORCID: https://orcid.org/0000-0002-6822-8437; Maritsch, Martin ORCID logoORCID: https://orcid.org/0000-0001-9920-0587; Klingberg, Karsten ORCID logoORCID: https://orcid.org/0000-0002-2502-1428; Lehmann, Vera ORCID logoORCID: https://orcid.org/0000-0002-6038-809X; Züger, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6190-7405; Srivastava, David ORCID logoORCID: https://orcid.org/0000-0002-4744-0463; Jegerlehner, Sabrina ORCID logoORCID: https://orcid.org/0000-0002-0868-0608; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729; Fleisch, Elgar ORCID logoORCID: https://orcid.org/0000-0002-4842-1117; Exadaktylos, Aristomenis ORCID logoORCID: https://orcid.org/0000-0002-2705-5170 und Wortmann, Felix ORCID logoORCID: https://orcid.org/0000-0001-5034-2023 (2022): A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development. In: JMIR Formative Research, Bd. 6, Nr. 6, e35717 [PDF, 875kB]

Fütterer, Cornelia; Nalenz, Malte und Augustin, Thomas (11. November 2021): Discriminative Power Lasso - Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection. Department of Statistics: Technical Reports, Nr. 239 [PDF, 436kB]

Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (November 2021): Drift Detection in Text Data with Document Embeddings. Intelligent Data Engineering and Automated Learning – IDEAL 2021, Manchester, United Kingdom, November 25-27, 2021. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Bd. 13113 Cham: Springer. S. 107-118

Fritz, Cornelius; Lebacher, Michael und Kauermann, Göran (2020): Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. In: Statistica Neerlandica, Bd. 74, Nr. 3: S. 275-299 [PDF, 3MB]

Frank, Markus (2018): Digital Humanities Sprachwissenschaften. Schwerpunkte bei der Entwicklung eines sprachwissenschaftlichen DH-Nebenfaches. In: Klinke, Harald (Hrsg.): #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. S. 103-114 [PDF, 148kB]

Fakesch, Jens (25. Juli 2016): Multi-User 3D Augmented Reality Anwendung für die gemeinsame Interaktion mit virtuellen 3D Objekten. Masterarbeit, Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München. [PDF, 31MB]

Fuchs, Mathias; Jiang, Xiaoyu und Anne-Laure, Boulesteix (14. Januar 2016): The computationally optimal test set size in simulation studies on supervised learning. Department of Statistics: Technical Reports, Nr. 189 [PDF, 432kB]

Fischer, Frank; Wecker, Christof und Stegmann, Karsten (Oktober 2015): Auswirkungen digitaler Medien auf den Wissens- und Kompetenzerwerb in der Schule. [PDF, 438kB]

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Gupta, Pritha ORCID logoORCID: https://orcid.org/0000-0002-7277-4633; Drees, Jan Peter ORCID logoORCID: https://orcid.org/0000-0002-7982-9908 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Automated Side-Channel Attacks using Black-Box Neural Architecture Search. 18th International Conference on Availability, Reliability and Security, Benevento, Italy, 29 August - 1 September 2023. In: Proceedings of the 18th International Conference on Availability, Reliability and Security, New York, NY, USA: Association for Computing Machinery. S. 1-11

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

Ganter, Manuel; Toetzke, Malte und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Mining points-of-interest data to predict urban inequality: Evidence from Germany and France. ICWSM 2022, Atlanta, 06.06.2022-09.06.2022. Budak, Ceren; Cha, Meeyoung und Quercia, Daniele (Hrsg.): Proceedings of the International AAAI Conference on Web and Social Media. Bd. 16, Nr. 1 Palo Alto, CA: Association for the Advancement of Artificial Intelligence. 216 - 227

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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

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

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

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

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

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

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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Fürnkranz, Johannes; Loza Mencia, Eneldo; Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468 und Rapp, Michael ORCID logoORCID: https://orcid.org/0000-0001-8570-8240 (August 2020): Rule-Based Multi-label Classification: Challenges and Opportunities. 4th International Joint Conference on Rules and Reasoning, Virtual, 29 June - 1 July 2020. In: Rules and Reasoning, Bd. 12173 Cham: Springer. S. 3-19

Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich (6. Juli 2020): Predicting the Growth of Morphological Families from Social and Linguistic Factors. , July 6 – 8, 2020, Seattle, USA [PDF, 2MB]

Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet (6. Juli 2020): A Graph Auto-encoder Model of Derivational Morphology. , July 6 – 8, 2020, Seattle, USA [PDF, 1MB]

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Höhl, Wolfgang (9. März 2017): Industrie 4.0 und Angewandte Interaktive Technologien (APITs). Identifizieren von Projektpartnern und interdisziplinären Synergien mit der APITs-Vernetzungsmatrix. Elemente, Aufbau und Struktur interaktiver industrieller Anwendungen für Augmented Reality, Mixed Reality und Virtual Reality. [PDF, 833kB]

Häuber, Chrystina (März 2015): Rome: the city of memories. Or, why and how reconstruct and visualize ancient and post-antique Rome using digital technologies? The "AIS ROMA", diachronic and phase maps of (ancient) Rome in the WWW Long version 2015, München. The International Symposium Reconstruction and the Historic City: Rome and Abroad - an interdisciplinary approach, LMU München, Deutschland, 17. - 19. Oktober 2012. [PDF, 8MB]

Höhl, Wolfgang (1. Januar 2014): Sim Games, Simulation und industrielle Anwendungen. In: Kaiser, Markus (Hrsg.): Ringvorlesung Games. Retro Gaming, Gamification, Augmented Reality, Bd. 1. 1. München: Verlag Dr. Gabriele Hooffacker / MedienCampus Bayern e.V.. S. 80-97 [PDF, 682kB]

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Imani, Ayyoob; Sabet, Masoud Jalili; Senel, Lütfi Kerem; Dufter, Philipp; Yvon, François und Schütze, Hinrich (November 2021): Graph Algorithms for Multiparallel Word Alignment. 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. 8457-8469 [PDF, 618kB]

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Javanmardi, Alireza; Sale, Yusuf; Hofman, Paul und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2023): Conformal Prediction with Partially Labeled Data. Twelfth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Limassol, Cyprus, September 13-15, 2023. Papadopoulos, Harris; Nguyen, Khuong An; Boström, Henrik und Carlsson, Lars (Hrsg.): Bd. 204 PMLR. S. 251-266

Javanmardi, Alireza und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (24. Juli 2023): Conformal Prediction Intervals for Remaining Useful Lifetime Estimation. In: International Journal of Prognostics and Health Management, Bd. 14, Nr. 2

Jensen, Jan Alexander (16. Mai 2023): Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. Masterarbeit, Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München. [PDF, 1MB]

Jakubik, Johannes und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Data-driven allocation of development aid toward sustainable development goals: Evidence from HIV/AIDS. In: Production and Operations Management, Bd. 31, Nr. 6: S. 2739-2756 [PDF, 1MB]

Jakubik, Johannes; Vössing, Michael; Pröllochs, Nicolas; Bär, Dominik und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM 2023, Limassol, 05.06.2023-08.06.2023. arXiv.

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Koch, Kevin; Maritsch, Martin; Weenen, Eva van; Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729; Pfäffli, Matthias; Fleisch, Elgar; Weinmann, Wolfgang und Wortmann, Felix (2023): Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CHI 2023, Hamburg, 23.04.-28.04.2023.

Kuzmanovic, Milan; Hatt, Tobias und Feuerriegel, Stefan ORCID logoORCID: https://orcid.org/0000-0001-7856-8729 (2022): Estimating Conditional Average Treatment Effects with Missing Treatment Information. AISTATS 2023, Valencia, 25.04.2023-27.04.2023. arXiv.

Kassner, Nora; Tafjord, Oyvind; Schütze, Hinrich und Clark, Peter (November 2021): BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. 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. 8849-8861 [PDF, 466kB]

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Kassner, Nora; Dufter, Philipp und Schütze, Hinrich (April 2021): Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. 16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 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. 3250-3258 [PDF, 2MB]

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Kassner, Nora und Schütze, Hinrich (6. Juli 2020): Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. The 58th Annual Meeting of the Association for Computational Linguistic, Seattle, USA, July 6 – 8, 2020. Stroudsburg, USA: Association for Computational Linguistics. [PDF, 251kB]

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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.

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

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 (2022): Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. In: International Journal of Human–Computer Interaction: S. 1-21 [Forthcoming]

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

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]

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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]

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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

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]

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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]

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]

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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]

Yin, Wenpeng und Schütze, Hinrich (2018): Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. In: Transactions of the Association for Computational Linguistics, Bd. 6: S. 687-702 [PDF, 1MB]

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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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