Publications

Klaudia-Doris Thellmann, Bernhard Stadler, Ricardo Usbeck, und Jens Lehmann. Transformer with tree-order encoding for neural program generation. arXiv, 2022. [PUMA: topic_language topic_knowledge]

Shahbaz Syed, Dominik Schwabe, und Martin Potthast. Summary Workbench: Unifying Application and Evaluation of Text Summarization Models. In Yoav Goldberg, Zornitsa Kozareva, und Yue Zhang (Hrsg.), The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, Dezember 2022. [PUMA: topic_language]

Ferdinand Schlatt, Dieter Bettin, Matthias Hagen, Benno Stein, und Martin Potthast. Mining Health-related Cause-Effect Statements with High Precision at Large Scale. Proceedings of the 29th International Conference on Computational Linguistics, 1925--1936, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, Oktober 2022. [PUMA: topic_language] URL

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, César Ferri Ram\'ırez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Mosegu\'ı González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodola, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Mart\'ınez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocoń, Jana Thompson, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U Balis, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Jones, Joshua B Tenenbaum, Joshua S Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ram\'ırez Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael A Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, T, Mukund Varma, Nanyun Peng, Nathan Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramón Risco Delgado, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R Bowman, Samuel S Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima, Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T Piantadosi, Stuart M Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Timothy Telleen-Lawton, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J Wang, Zirui Wang, und Ziyi Wu. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. arXiv, 2022. [PUMA: topic_language topic_lifescience]

Christopher Akiki, Lukas Gienapp, und Martin Potthast. Tracking Discourse Influence in Darknet Forums. arXiv, 2022. [PUMA: topic_language]

Janek Bevendorff, Philipp Sauer, Lukas Gienapp, Wolfgang Kircheis, Erik Körner, Benno Stein, und Martin Potthast. SMAuC -- The Scientific Multi-Authorship Corpus. 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), Juni 2023. [PUMA: topic_language]

Janek Bevendorff, Matti Wiegmann, Martin Potthast, und Benno Stein. The Impact of Online Affiliate Marketing on Web Search. In Andreas Wagner, Christian Guetl, Michael Granitzer, und Stefan Voigt (Hrsg.), 4th International Symposium on Open Search Technology (OSSYM 2022), International Open Search Symposium, Oktober 2022. [PUMA: topic_language]

Theresa Elstner, Johannes Kiesel, Lars Meyer, Max Martius, Sebastian Schmidt, Benno Stein, und Martin Potthast. Visual Web Archive Quality Assessment. Linking Theory and Practice of Digital Libraries, 365--371, Springer International Publishing, Cham, 2022. [PUMA: topic_language topic_lifescience]

Matti Wiegmann, Michael Völske, Benno Stein, und Martin Potthast. Language Models as Context-sensitive Word Search Engines. Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022), 39--45, Association for Computational Linguistics, Dublin, Ireland, Mai 2022. [PUMA: topic_language] URL

Hugo Laurencon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova Moral, Teven Le Scao, und others. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, und A. Oh (Hrsg.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022), (35):31809-31826, Curran Associates, Inc., Dezember 2022. [PUMA: topic_language] URL

Teven Le Scao, Angela Fan, Christopher Akiki, und others. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR, (abs/2211.05100)März 2022. [PUMA: topic_language] URL

Tim S Lyon, und Luc\'ıa Gómez Álvarez. Automating reasoning with standpoint logic via nested sequents. arXiv, 2022. [PUMA: topic_knowledge]

Ringo Baumann, und Hannes Strass. An abstract, logical approach to characterizing strong equivalence in non-monotonic knowledge representation formalisms. Artif. Intell., (305)103680:103680, Elsevier BV, April 2022. [PUMA: topic_knowledge]

Jean Christoph Jung, Carsten Lutz, und Jerzy Marcinkowski. Conservative extensions for existential rules. arXiv, 2022. [PUMA: topic_knowledge]

Carsten Lutz, und Marcin Przybyłko. Efficiently enumerating answers to ontology-mediated queries. arXiv, 2022. [PUMA: topic_knowledge]

Maurice Funk, Jean Christoph Jung, und Carsten Lutz. Frontiers and exact learning of ELI queries under DL-Lite ontologies. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, California, Juli 2022. [PUMA: topic_knowledge]

Carsten Lutz, und Leif Sabellek. A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic EL. Artif. Intell., (308)103709:103709, Elsevier BV, Juli 2022. [PUMA: topic_knowledge]

Faiq Miftakhul Falakh, und Sebastian Rudolph. AGM Revision in Description Logics Under Fixed-Domain Semantics. 2022. [PUMA: topic_knowledge]

Raimund Dachselt, Sarah Gaggl, Markus Krötzsch, Julián Méndez, Dominik Rusovac, und Mei Yang. NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces. Computational Models of Argument: Proceedings of COMMA 2022, (353):116, IOS Press, 2022. [PUMA: topic_knowledge]

Stefan Ellmauthaler, Markus Krötzsch, und Stephan Mennicke. Answering queries with negation over existential rules. Proc. Conf. AAAI Artif. Intell., (36)5:5626--5633, Association for the Advancement of Artificial Intelligence (AAAI), Juni 2022. [PUMA: topic_knowledge topic_graph]

Jacopo Urbani, Markus Krötzsch, und Thomas Eiter. Chasing Streams with Existential Rules. Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 415--419, August 2022. [PUMA: topic_knowledge topic_lifescience] URL

Martin Bromberger, Irina Dragoste, Rasha Faqeh, Christof Fetzer, Larry González, Markus Krötzsch, Maximilian Marx, Harish K Murali, und Christoph Weidenbach. A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic. In Dana Fisman, und Grigore Rosu (Hrsg.), Proc. of the 28th Int. Conf. on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022), (13243):480-501, Springer, 2022. [PUMA: topic_knowledge topic_graph]

Ali Elhalawati, Markus Krötzsch, und Stephan Mennicke. An Existential Rule Framework for~Computing Why-Provenance On-Demand for~Datalog. Rules and Reasoning, 146--163, Springer International Publishing, 2022. [PUMA: topic_knowledge topic_graph] URL

Sarah Alice Gaggl, Philipp Hanisch, und Markus Krötzsch. Simulating sets in answer set programming. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, California, Juli 2022. [PUMA: topic_knowledge]

Franz Baader, und Deepak Kapur. Deciding the word problem for ground and strongly shallow identities w.R.T. Extensional symbols. J. Automat. Reason., (66)3:301--329, Springer Science and Business Media LLC, August 2022. [PUMA: topic_knowledge]

Franz Baader, und Oliver Fernández Gil. Restricted Unification in the Description Logic $FL_\bot$. In David M. Cerna, und Barbara Morawska (Hrsg.), Proceedings of the 36th International Workshop on Unification (UNIF 2022), Haifa, Israel, 2022. [PUMA: topic_knowledge]

Franz Baader, und Jakub Rydval. Using model theory to find decidable and tractable description logics with concrete domains. J. Automat. Reason., (66)3:357--407, Springer Science and Business Media LLC, August 2022. [PUMA: topic_knowledge]

Anna Rapberger, und Markus Ulbricht. On Dynamics in Structured Argumentation Formalisms. Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning, International Joint Conferences on Artificial Intelligence Organization, California, Juli 2022. [PUMA: topic_knowledge]

Matthias König, Anna Rapberger, und Markus Ulbricht. Just a Matter of Perspective. Computational Models of Argument, IOS Press, September 2022. [PUMA: topic_knowledge]

Wolfgang Dvorák, Matthias König, Markus Ulbricht, und Stefan Woltran. Rediscovering argumentation principles utilizing Collective Attacks. arXiv, 2022. [PUMA: topic_knowledge]

Ringo Baumann, Gerhard Brewka, und Markus Ulbricht. Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility. Artif. Intell., (310)103742:103742, Elsevier BV, September 2022. [PUMA: topic_knowledge]

Markus Ulbricht, und Johannes P Wallner. Strongly accepting subframeworks: Connecting abstract and structured Argumentation. Computational Models of Argument, IOS Press, September 2022. [PUMA: topic_knowledge]

Anna Rapberger, Markus Ulbricht, und Johannes Peter Wallner. Argumentation Frameworks Induced by Assumption-Based Argumentation: Relating Size and Complexity. Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7-9, 2022, 92--103, 2022. [PUMA: topic_knowledge] URL

Lydia Blümel, und Markus Ulbricht. Defining defense and defeat in abstract argumentation from scratch -- A generalizing approach. Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning, International Joint Conferences on Artificial Intelligence Organization, California, Juli 2022. [PUMA: topic_knowledge]

Wolfgang Dvorák, Markus Ulbricht, und Stefan Woltran. Recursion in abstract argumentation is hard --- on the complexity of semantics based on weak admissibility. J. Artif. Intell. Res., (74):1403--1447, AI Access Foundation, Juli 2022. [PUMA: topic_knowledge]

Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, und Johannes P Wallner. Representing abstract dialectical frameworks with binary decision diagrams. Logic Programming and Nonmonotonic Reasoning, 177--189, Springer International Publishing, Cham, 2022. [PUMA: topic_knowledge]

Matti Berthold. On syntactic forgetting with strong persistence. Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning, International Joint Conferences on Artificial Intelligence Organization, California, Juli 2022. [PUMA: topic_knowledge]

Christopher Rost, Kevin Gomez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, und Erhard Rahm. Distributed temporal graph analytics with GRADOOP. VLDB J., (31)2:375--401, Springer Science and Business Media LLC, März 2022. [PUMA: topic_graph area_bigdata]

Daniel Obraczka, und Erhard Rahm. Fast hubness-reduced nearest neighbor search for entity alignment in Knowledge Graphs. SN Comput. Sci., (3)6Springer Science and Business Media LLC, Oktober 2022. [PUMA: topic_graph area_bigdata]

Philippe Krajsic. Artificial Intelligence in Process Mining. 2022. [PUMA: topic_engineering]

Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, und Pascal Kerschke. Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods. Lecture Notes in Computer Science, 3--17, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering topic_lifescience]

Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, und Christian Grimme. The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Nat. Comput., Springer Science and Business Media LLC, September 2022. [PUMA: topic_engineering]

Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, und Heike Trautmann. BBE: Basin-based evaluation of multimodal multi-objective optimization problems. Lecture Notes in Computer Science, 192--206, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering]

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, und Heike Trautmann. A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, Juli 2022. [PUMA: topic_engineering topic_lifescience]

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, und Pascal Kerschke. HPO $$ ELA: Investigating hyperparameter optimization landscapes by means of exploratory landscape analysis. Lecture Notes in Computer Science, 575--589, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering]

Lennart Schäpermeier, Christian Grimme, und Pascal Kerschke. MOLE. Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, Juli 2022. [PUMA: topic_engineering]

Martin Waltz, Abhay Kumar Singh, und Ostap Okhrin. Vulnerability-CoVaR: investigating the crypto-market. Quant. Finance, (22)9:1731--1745, Informa UK Limited, September 2022. [PUMA: topic_engineering]

Ostap Okhrin, Michael Rockinger, und Manuel Schmid. Simulating the Cox--Ingersoll--Ross and Heston Processes: Matching the First Four Moments. Journal of Computational Finance, (26)22022. [PUMA: topic_engineering]

Martin Waltz, und Ostap Okhrin. Two-sample testing in reinforcement learning. arXiv, 2022. [PUMA: topic_engineering]

Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D Mahecha, und Karin Mora. ReservoirComputing.Jl: An efficient and modular library for reservoir computing models. arXiv, 2022. [PUMA: topic_earthenvironment]

Jordi Cortés-Andrés, Gustau Camps-Valls, Sebastian Sippel, Enikő Székely, Dino Sejdinovic, Emiliano Diaz, Adrián Pérez-Suay, Zhu Li, Miguel Mahecha, und Markus Reichstein. Physics-aware nonparametric regression models for Earth data analysis. Environ. Res. Lett., (17)5:054034, IOP Publishing, Mai 2022. [PUMA: topic_earthenvironment]

Teja Kattenborn, Ronny Richter, Claudia Guimarães-Steinicke, Hannes Feilhauer, und Christian Wirth. AngleCam : Predicting the temporal variation of leaf angle distributions from image series with deep learning. Methods Ecol. Evol., (13)11:2531--2545, Wiley, November 2022. [PUMA: topic_earthenvironment]

Teja Kattenborn, Felix Schiefer, Julian Frey, Hannes Feilhauer, Miguel D Mahecha, und Carsten F Dormann. Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks. ISPRS Open Journal of Photogrammetry and Remote Sensing, (5)100018:100018, Elsevier BV, August 2022. [PUMA: topic_earthenvironment]

Maximilian Lange, Hannes Feilhauer, Ingolf Kühn, und Daniel Doktor. Mapping land-use intensity of grasslands in Germany with machine learning and Sentinel-2 time series. Remote Sens. Environ., (277)112888:112888, Elsevier BV, August 2022. [PUMA: topic_earthenvironment]

Eya Cherif, Maximilian Hell, und Melanie Brandmeier. DeepForest: Novel deep learning models for land use and land cover classification using multi-temporal and -modal Sentinel data of the Amazon basin. Remote Sens. (Basel), (14)19:5000, MDPI AG, Oktober 2022. [PUMA: topic_earthenvironment]

Lucas Lange, Maja Schneider, und Erhard Rahm. Privacy in Practice: Private COVID-19 Detection in X-Ray Images. 20th International Conference on Security and Cryptography, SECRYPT 2023, 2023. [PUMA: area_responsibleai area_bigdata]

Maja Schneider, Lukas Gehrke, Peter Christen, und Erhard Rahm. D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. INFORMATIK 2022, Gesellschaft für Informatik, Bonn, 2022. [PUMA: area_responsibleai area_bigdata]

Erik Marx, Thiemo Leonhardt, und Nadine Bergner. Brief summary of existing research on students' conceptions of AI. Proceedings of the 17th Workshop in Primary and Secondary Computing Education, ACM, New York, NY, USA, Oktober 2022. [PUMA: area_responsibleai]

Rita Jordan. Nothing personal? Der Personenbezug von Daten in der DSGVO im Licht von künstlicher Intelligenz und Big Data. Künstliche Intelligenz, Demokratie und Privatheit, 59--76, Nomos Verlagsgesellschaft mbH & Co. KG, 2022. [PUMA: area_responsibleai] URL

Martin Grimmer, Tim Kaelble, Felix Nirsberger, Emmely Schulze, Toni Rucks, Jörn Hoffmann, und Erhard Rahm. Dataset Report: LID-DS 2021. International Conference on Critical Information Infrastructures Security, 63--73, 2022. [PUMA: area_responsibleai area_bigdata]

Christian Herzog, und Hermann Diebel-Fischer. Teaching ethics through the back door? Employing ideas from assemblage theory to foster a responsible innovation mindset. Towards a new future in engineering education, new scenarios that european alliances of tech universities open up, Universitat Politècnica de Catalunya, Barcelona, September 2022. [PUMA: area_responsibleai]

Daniel Ayala, Inma Hernández, David Ruiz, und Erhard Rahm. LEAPME: Learning-based property matching with embeddings. Data Knowl. Eng., (137)101943:101943, Elsevier BV, Januar 2022. [PUMA: area_bigdata]

Sabine Müller-Mall. Freiheit und Kalkül. Die Politik der Algorithmen. Oktober 2020. [PUMA: topic_lifescience]

Proceedings of the 6th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI/ECAI 2018), Stockholm, Sweden, July 13, 2018. In Sergei O. Kuznetsov, Amedeo Napoli, und Sebastian Rudolph (Hrsg.), CEUR Workshop Proceedings, (2149)CEUR-WS.org, 2018. URL

Daniel Obraczka, Jonathan Schuchart, und Erhard Rahm. Embedding-Assisted Entity Resolution for Knowledge Graphs. In David Chaves-Fraga, Anastasia Dimou, Pieter Heyvaert, Freddy Priyatna, und Juan Sequeda (Hrsg.), Proceedings of the 2nd International Workshop on Knowledge Graph Construction co-located with 18th Extended Semantic Web Conference (ESWC 2021), Online, June 5, 2021, (2873)CEUR-WS.org, 2021. URL

Martin Franke, Ziad Sehili, und Erhard Rahm. PRIMAT. Proceedings VLDB Endowment, (12)12:1826--1829, Association for Computing Machinery (ACM), August 2019.

Ana Ozaki, Markus Krötzsch, und Sebastian Rudolph. Happy Ever After: Temporally Attributed Description Logics. In Magdalena Ortiz, und Thomas Schneider (Hrsg.), Proceedings of the 31st International Workshop on Description Logics (DL 2018), (2211)CEUR-WS.org, 2018.

Peter Steinbach, Heidi Seibold, und Oliver Guhr. Teaching Machine Learning in 2020. In Bernd Bischl, Oliver Guhr, Heidi Seibold, und Peter Steinbach (Hrsg.), Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, (141):1--6, PMLR, 14 Sep 2021. URL

Marion Schmidt, Wolfgang Kircheis, Arno Simons, Martin Potthast, und Benno Stein. Does Wikipedia Cover the Relevant Literature on Major Innovations Timely? An Exploratory Case Study of CRISPR/Cas9. In Wolfgang Glänzel, Sarah Heeffer, Pei-Shan Chi, und Ronald Rousseau (Hrsg.), 18th International Conference on Scientometrics & Informetrics (ISSI 2021), 1021--1026, International Society for Scientometrics and Informetrics (I.S.S.I.), Mai 2021. URL

Franz Baader, und Filippo De Bortoli. Description Logics that Count, and What They Can and Cannot Count (Extended Abstract). In Stefan Borgwardt, und Thomas Meyer (Hrsg.), Proceedings of the 33rd International Workshop on Description Logics (DL'20), (2663)CEUR-WS, Online, 2020. [PUMA: topic_lifescience]

Workshop on Linked Data on the Web co-located with The Web Conference 2018, LDOW@WWW 2018, Lyon, France April 23rd, 2018. In Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, und Jens Lehmann (Hrsg.), CEUR Workshop Proceedings, (2073)CEUR-WS.org, 2018. URL

Alieh Saeedi, Eric Peukert, und Erhard Rahm. Incremental Multi-source Entity Resolution for Knowledge Graph Completion. Mai 2020.

Erik Körner, Gerhard Heyer, und Martin Potthast. Same Side Stance Classification Using Contextualized Sentence Embeddings. 21--25, August 2019.

Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, und Ricardo Usbeck. SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. arXiv, 2021.

Graph structures for knowledge representation and reasoning. In Madalina Croitoru, Pierre, Sebastian Rudolph, und Gem Stapleton (Hrsg.), Lecture notes in computer science, Springer International Publishing, Cham, Switzerland, März 2018.

Ziad Sehili, Florens Rohde, Martin Franke, und Erhard Rahm. Multi-party privacy preserving record linkage in dynamic metric space. Gesellschaft für Informatik, Bonn, 2021.

Frauke Beyer, Rui Zhang, Markus Scholz, Kerstin Wirkner, Markus Loeffler, Michael Stumvoll, Arno Villringer, und A Veronica Witte. Higher BMI, but not obesity-related genetic polymorphisms, correlates with lower structural connectivity of the reward network in a population-based study. Int. J. Obes. (Lond), (45)3:491--501, Springer Science and Business Media LLC, März 2021.

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