Publications

Jean Shin, Shaojie Ma, Edith Hofer, Yash Patel, Daniel E Vosberg, Steven Tilley, Gennady V Roshchupkin, André M M Sousa, Xueqiu Jian, Rebecca Gottesman, Thomas H Mosley, Myriam Fornage, Yasaman Saba, Lukas Pirpamer, Reinhold Schmidt, Helena Schmidt, Amaia Carrion-Castillo, Fabrice Crivello, Bernard Mazoyer, Joshua C Bis, Shuo Li, Qiong Yang, Michelle Luciano, Sherif Karama, Lindsay Lewis, Mark E Bastin, Mathew A Harris, Joanna M Wardlaw, Ian E Deary, Markus Scholz, Markus Loeffler, A Veronica Witte, Frauke Beyer, Arno Villringer, Nicola J Armstrong, Karen A Mather, David Ames, Jiyang Jiang, John B Kwok, Peter R Schofield, Anbupalam Thalamuthu, Julian N Trollor, Margaret J Wright, Henry Brodaty, Wei Wen, Perminder S Sachdev, Natalie Terzikhan, Tavia E Evans, Hieab H H H Adams, M Arfan Ikram, Stefan Frenzel, Sandra van der Auwera-Palitschka, Katharina Wittfeld, Robin Bülow, Hans Jörgen Grabe, Christophe Tzourio, Aniket Mishra, Sophie Maingault, Stephanie Debette, Nathan A Gillespie, Carol E Franz, William S Kremen, Linda Ding, Neda Jahanshad, ENIGMA Consortium, Nenad Sestan, Zdenka Pausova, Sudha Seshadri, Tomas Paus, and neuroCHARGE Working Group. Global and regional development of the human cerebral cortex: Molecular architecture and occupational aptitudes. Cereb. Cortex, (30)7:4121--4139, Oxford University Press (OUP), June 2020. [PUMA: aptitude area; association brain cortical development; genome-wide occupational study; surface thickness;]

Mathias Gorski, Bettina Jung, Yong Li, Pamela R Matias-Garcia, Matthias Wuttke, Stefan Coassin, Chris H L Thio, Marcus E Kleber, Thomas W Winkler, Veronika Wanner, Jin-Fang Chai, Audrey Y Chu, Massimiliano Cocca, Mary F Feitosa, Sahar Ghasemi, Anselm Hoppmann, Katrin Horn, Man Li, Teresa Nutile, Markus Scholz, Karsten B Sieber, Alexander Teumer, Adrienne Tin, Judy Wang, Bamidele O Tayo, Tarunveer S Ahluwalia, Peter Almgren, Stephan J L Bakker, Bernhard Banas, Nisha Bansal, Mary L Biggs, Eric Boerwinkle, Erwin P Bottinger, Hermann Brenner, Robert J Carroll, John Chalmers, Miao-Li Chee, Miao-Ling Chee, Ching-Yu Cheng, Josef Coresh, Martin H de Borst, Frauke Degenhardt, Kai-Uwe Eckardt, Karlhans Endlich, Andre Franke, Sandra Freitag-Wolf, Piyush Gampawar, Ron T Gansevoort, Mohsen Ghanbari, Christian Gieger, Pavel Hamet, Kevin Ho, Edith Hofer, Bernd Holleczek, Valencia Hui Xian Foo, Nina Hutri-Kähönen, Shih-Jen Hwang, M Arfan Ikram, Navya Shilpa Josyula, Mika Kähönen, Chiea-Chuen Khor, Wolfgang Koenig, Holly Kramer, Bernhard K Krämer, Brigitte Kühnel, Leslie A Lange, Terho Lehtimäki, Wolfgang Lieb, Lifelines Cohort Study, Regeneron Genetics Center, Ruth J F Loos, Mary Ann Lukas, Leo-Pekka Lyytikäinen, Christa Meisinger, Thomas Meitinger, Olle Melander, Yuri Milaneschi, Pashupati P Mishra, Nina Mononen, Josyf C Mychaleckyj, Girish N Nadkarni, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M Nolte, Michelle L O'Donoghue, Marju Orho-Melander, Sarah A Pendergrass, Brenda W J H Penninx, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Rainer Rettig, Myriam Rheinberger, Kenneth M Rice, Alexander R Rosenkranz, Peter Rossing, Jerome I Rotter, Charumathi Sabanayagam, Helena Schmidt, Reinhold Schmidt, Ben Schöttker, Christina-Alexandra Schulz, Sanaz Sedaghat, Christian M Shaffer, Konstantin Strauch, Silke Szymczak, Kent D Taylor, Johanne Tremblay, Layal Chaker, Pim van der Harst, Peter J van der Most, Niek Verweij, Uwe Völker, Melanie Waldenberger, Lars Wallentin, Dawn M Waterworth, Harvey D White, James G Wilson, Tien-Yin Wong, Mark Woodward, Qiong Yang, Masayuki Yasuda, Laura M Yerges-Armstrong, Yan Zhang, Harold Snieder, Christoph Wanner, Carsten A Böger, Anna Köttgen, Florian Kronenberg, Cristian Pattaro, and Iris M Heid. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int., (99)4:926--939, Elsevier BV, April 2021. [PUMA: acute association decline disease; eGFRcrea end-stage genome-wide injury; kidney rapid study;]

Carl Beuchel, Susen Becker, Julia Dittrich, Holger Kirsten, Anke Toenjes, Michael Stumvoll, Markus Loeffler, Holger Thiele, Frank Beutner, Joachim Thiery, Uta Ceglarek, and Markus Scholz. Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts. Mol. Metab., (29):76--85, Elsevier BV, November 2019. [PUMA: Acylcarnitines; Amino Clinical Lifestyle Metabolomics; Network acids; analysis factors;]

Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, and Steffen Oeltze-Jafra. Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Med., (104)101842:101842, Elsevier BV, April 2020. [PUMA: Arden Decision Head Medical Therapy and decision delay; logic model modules; neck oncology; support syntax; system;]

Lina Muhandes, Maria Chapsa, Martin Pippel, Rayk Behrendt, Yan Ge, Andreas Dahl, Buqing Yi, Alexander Dalpke, Sylke Winkler, Michael Hiller, Sebastien Boutin, Stefan Beissert, Rolf Jessberger, Padraic G Fallon, and Axel Roers. Low threshold for cutaneous allergen sensitization but no spontaneous dermatitis or atopy in FLG-deficient mice. J. Invest. Dermatol., (141)11:2611--2619.e2, Elsevier BV, November 2021. [PUMA: atopic barrier dermatitis; eczema; filaggrin; function; genetics mouse]

Erhard Rahm, Wolfgang E Nagel, Eric Peukert, René Jäkel, Fabian Gärtner, Peter F Stadler, Daniel Wiegreffe, Dirk Zeckzer, and Wolfgang Lehner. Big Data Competence Center ScaDS Dresden/Leipzig: Overview and selected research activities. Datenbank Spektrum, (19)1:5--16, Springer Science and Business Media LLC, March 2019. [PUMA: livinglab]

Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, and Erhard Rahm. Using differential equation inspired machine learning for valve faults prediction. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, July 2023. [PUMA: area_bigdata topic_physchemistry]

Daniel Obraczka, Alieh Saeedi, Victor Christen, and Erhard Rahm. Big data integration for industry 4.0. Digital Transformation, 247--268, Springer Berlin Heidelberg, Berlin, Heidelberg, 2023. [PUMA: area_bigdata topic_graph]

Florens Rohde, Martin Franke, Victor Christen, and Erhard Rahm. Value-specific weighting for record-level encodings in privacy-preserving record linkage. Gesellschaft für Informatik e.V., 2023. [PUMA: area_bigdata area_responsibleai]

Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, and Erhard Rahm. Multi-modal artificial intelligence in additive manufacturing: Combining thermal and camera images for 3D-print quality monitoring. Proceedings of the 25th International Conference on Enterprise Information Systems, SCITEPRESS - Science and Technology Publications, 2023. [PUMA: area_bigdata unit_transfer topic_physchemistry]

Tanja Katharina Kaiser, Tristan Potten, and Heiko Hamann. Evolution of collective decision-making mechanisms for collective perception. 2023 IEEE Congress on Evolutionary Computation (CEC), IEEE, July 2023. [PUMA: area_architectures]

Maximilian Zorn, Steffen Illium, Thomy Phan, Tanja Katharina Kaiser, Claudia Linnhoff-Popien, and Thomas Gabor. Social neural network soups with surprise minimization. The 2023 Conference on Artificial Life, MIT Press, 2023. [PUMA: area_architectures]

Tanja Katharina Kaiser, Christopher Kluth, and Heiko Hamann. Evolving dynamic collective behaviors by minimizing surprise. The 2023 Conference on Artificial Life, MIT Press, 2023. [PUMA: area_architectures]

David Stein, Silvia Di Gregorio, and Bjoern Andres. Partial optimality in cubic correlation clustering. Proceedings of the 40th International Conference on Machine Learning, PMLR, (202):32598-32617, arXiv, 2023. [PUMA: topic_visualcomputing] URL

Aruscha Kramm, Julia Friske, and Eric Peukert. Detecting floors in residential buildings. Lecture Notes in Computer Science, 130--143, Springer Nature Switzerland, Cham, 2023. [PUMA: unit_transfer cut]

David Stein, and Bjoern Andres. Partial Optimality in the Linear Ordering Problem. Forty-first International Conference on Machine Learning, 2024. [PUMA: topic_visualcomputing] URL

Benjamin Russig, David Grab, Raimund Dachselt, and Stefan Gumhold. On-tube attribute visualization for multivariate trajectory data. IEEE Trans. Vis. Comput. Graph., (29)1:1288--1298, Institute of Electrical and Electronics Engineers (IEEE), January 2023. [PUMA: topic_visualcomputing]

Aryaman Gupta, Pietro Incardona, Anton Brock, Guido Reina, Steffen Frey, Stefan Gumhold, Ulrik Günther, and Ivo F Sbalzarini. Parallel compositing of Volumetric Depth Images for interactive visualization of distributed volumes at high frame rates. arXiv, 2022. [PUMA: topic_visualcomputing topic_lifescience]

Ariel Iporre-Rivas, Dorothee Saur, Karl Rohr, Gerik Scheuermann, and Christina Gillmann. Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. J. Med. Imaging (Bellingham), (10)4:044502, SPIE-Intl Soc Optical Eng, July 2023. [PUMA: topic_visualcomputing graph imaging; learning; machine medical multi-modal networks; neural prediction stroke]

Patrick Ebel. Generative AI and Attentive User Interfaces: Five Strategies to Enhance Take-Over Quality in Automated Driving. 2024. [PUMA: topic_visualcomputing] URL

Mersedeh Sadeghi, Daniel Pöttgen, Patrick Ebel, and Andreas Vogelsang. Explaining the Unexplainable: The Impact of Misleading Explanations on Trust in Unreliable Predictions for Hardly Assessable Tasks. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 36–46, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: topic_visualcomputing XAI, explainability, learning, machine trust] URL

João Paulo C de Lima, Asif Ali Khan, Luigi Carro, and Jeronimo Castrillon. Full-stack optimization for CAM-only DNN inference. arXiv, 2024. [PUMA: topic_software]

Hamid Farzaneh, João Paulo Cardoso De Lima, Ali Nezhadi Khelejani, Asif Ali Khan, Mahta Mayahinia, Mehdi Tahoori, and Jeronimo Castrillon. SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs. Proceedings of the 61th Annual Design Automation Conference (DAC'24), ACM, June 2024. [PUMA: topic_software]

Hamid Farzaneh, Joao Paulo Cardoso De Lima, Mengyuan Li, Asif Ali Khan, Xiaobo Sharon Hu, and Jeronimo Castrillon. C4CAM: A compiler for CAM-based in-memory accelerators. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, ACM, New York, NY, USA, April 2024. [PUMA: topic_software]

Michael Niemier, Zephan Enciso, Mohammad Mehdi Sharifi, X. Sharon Hu, Ian O'Connor, Alexander Graening, Ravit Sharma, Puneet Gupta, Jeronimo Castrillon, João Paulo C. de Lima, Asif Ali Khan, Hamid Farzaneh, Nashrah Afroze, Asif Islam Khan, and Julien Ryckaert. Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, and Compilers. Proceedings of the 2024 Design, Automation and Test in Europe Conference (DATE), 1--10, IEEE, March 2024. [PUMA: topic_software] URL

Caio Vieira, Jeronimo Castrillon, and Antonio Carlos Schneider Beck. Hyperdimensional Computing Quantization with Thermometer Codes. 6th Workshop on Accelerated Machine Learning (AccML), co-located with 19th International Conference on High-Performance and Embedded Architectures and Compilers (HiPEAC), 7pp, January 2024. [PUMA: topic_software unit_test] URL

Asif Ali Khan, João Paulo C De Lima, Hamid Farzaneh, and Jeronimo Castrillon. The landscape of compute-near-memory and compute-in-memory: A research and commercial overview. arXiv, 2024. [PUMA: topic_software]

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, and Norbert Siegmund. Analyzing the Impact of Workloads on Modeling the performance of Configurable Software Systems (supplementary material). Zenodo, 2023. [PUMA: topic_software]

Florian Sattler, Sebastian Böhm, Philipp Schubert, Norbert Siegmund, and Sven Apel. SEAL: Integrating Program Analysis and Repository Mining. ACM Transactions on Software Engineering and Methodology, (32)February 2023. [PUMA: topic_software]

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, and Norbert Siegmund. Analysing the impact of workloads on modeling the performance of configurable software systems. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE, May 2023. [PUMA: topic_software]

Florian Sattler, Sebastian Böhm, Philipp Dominik Schubert, Norbert Siegmund, and Sven Apel. SEAL: Integrating program analysis and repository mining. ACM Trans. Softw. Eng. Methodol., (32)5:1--34, Association for Computing Machinery (ACM), September 2023. [PUMA: topic_software]

Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, and Norbert Siegmund. Exploring hyperparameter usage and tuning in machine learning research. 2023 IEEE/ACM 2nd International Conference on AI Engineering -- Software Engineering for AI (CAIN), IEEE, May 2023. [PUMA: topic_software topic_language]

Alina Mailach, and Norbert Siegmund. Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 690--702, IEEE, May 2023. [PUMA: topic_software Economics;Biological learning;Software modeling;Pipelines;Production;Manuals;Machine system systems]

Universität Leipzig, Benjamin Uhrich, Shirin Lange, Universität Leipzig, Miriam Louise Carnot, Universität Leipzig, Martin Schäfer, and SIEMENS AG Berlin. Predictive Manufacturing -- Ein Intelligentes Überwachungssystem zur Erkennung von Anomalien im 3D-Druck. Ind. 4 0 Manag., (2023)1:27--31, GITO mbH Verlag, February 2023. [PUMA: topic_physchemistry topic_lifescience]

Leonie Lampe, Hans-Jürgen Huppertz, Sarah Anderl-Straub, Franziska Albrecht, Tommaso Ballarini, Sandrine Bisenius, Karsten Mueller, Sebastian Niehaus, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Johannes Kornhuber, Martin Lauer, Johannes Prudlo, Anja Schneider, Matthis Synofzik, Jan Kassubek, Adrian Danek, Arno Villringer, Janine Diehl-Schmid, Markus Otto, Matthias L Schroeter, and FTLD Consortium Germany. Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging. NeuroImage Clin., (37)103320:103320, Elsevier BV, January 2023. [PUMA: topic_neuroinspired Dementia; Diagnosis; MRI; Machine Neurodegeneration; Volumetry learning; topic_lifescience unit_test]

Markus Frey, Christian F Doeller, and Caswell Barry. Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks. arXiv, 2023. [PUMA: topic_neuroinspired]

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, and David Kappel. Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. arXiv, 2022. [PUMA: topic_neuroinspired]

Marie Steinacker, Yuri Kheifetz, and Markus Scholz. Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach. Heliyon, (9)7:e17890, Elsevier BV, July 2023. [PUMA: topic_neuroinspired topic_mathfoundation Haematopoiesis; Precision Recurrent System Transfer identification; learning medicine; networks; neural unit_transfer]

Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, and Serena Yeung. Hyperbolic deep learning in computer vision: A survey. arXiv, 2023. [PUMA: topic_mathfoundation topic_lifescience]

Interdisciplinary Center for Bioinformatics & Leipzig University, Leipzig, Germany, Marcos E Gonzalez Laffitte, Nora Beier, Nico Domschke, and Peter F Stadler. Comparison of atom maps. Match (Mulh.), (90)1:75--102, University Library in Kragujevac, 2023. [PUMA: topic_mathfoundation topic_lifescience]

Julia Scheel, Matti Hoch, Markus Wolfien, and Shailendra Gupta. NaviCenta - The disease map for placental research. Placenta, (143):12--15, Elsevier BV, November 2023. [PUMA: topic_lifescience Molecular Networks Omics Systems analysis; biology integration; interaction map;]

Jirina Zackova Suchanova, Gust Bilcke, Beata Romanowska, Ali Fatlawi, Martin Pippel, Alastair Skeffington, Michael Schroeder, Wim Vyverman, Klaas Vandepoele, Nils Kröger, and Nicole Poulsen. Diatom adhesive trail proteins acquired by horizontal gene transfer from bacteria serve as primers for marine biofilm formation. New Phytol., (240)2:770--783, Wiley, October 2023. [PUMA: topic_lifescience bioadhesion; biofilm; diatom; gene gliding horizontal motility; unit_transfer]

Giovanni Ciotta, Sukhdeep Singh, Ashish Gupta, Davi Coe Torres, Jun Fu, Rupam Choudhury, Wai Kit Chu, Chuna Choudhary, Lenka Gahurova, Ali Al-Fatlawi, Michael Schroeder, Rein Aasland, Anna R Poetsch, Konstantinos Anastassiadis, and A Francis Stewart. The BOD1L subunit of the mammalian SETD1A complex sustains the expression of DNA damage repair genes despite restraining H3K4 trimethylation. bioRxiv, April 2023. [PUMA: topic_lifescience]

Mariia Tkachenko, Claire Chalopin, Boris Jansen-Winkeln, Thomas Neumuth, Ines Gockel, and Marianne Maktabi. Impact of pre- and post-processing steps for supervised classification of colorectal cancer in hyperspectral images. Cancers (Basel), (15)7April 2023. [PUMA: topic_lifescience cancer cancer; classification; colorectal convolutional filter; hyperspectral imaging; learning; machine median networks; post-processing; pre-processing]

Thomas Flegel, Anja Neumann, Anna-Lena Holst, Olivia Kretzschmann, Shenja Loderstedt, Carina Tästensen, Sarah Gutmann, Josephine Dietzel, Lisa Franziska Becker, Theresa Kalliwoda, Vivian Weiß, Madlene Kowarik, Irene Christine Böttcher, and Christian Martin. Machine learning algorithms predict canine structural epilepsy with high accuracy. Frontiers in Veterinary Science, (11)2024. [PUMA: topic_lifescience] URL

Eli Fritz McDonald, Taylor Jones, Lars Plate, Jens Meiler, and Alican Gulsevin. Benchmarking AlphaFold2 on peptide structure prediction. Structure, (31)1:111-119.e2, Elsevier BV, January 2023. [PUMA: topic_lifescience imported] URL

Fabian Liessmann, Georg Künze, and Jens Meiler. Improving the modeling of extracellular ligand binding pockets in RosettaGPCR for conformational selection. Int. J. Mol. Sci., (24)9April 2023. [PUMA: topic_lifescience Rosetta; RosettaGPCR; discovery; docking; drug homology ligand modeling; pocket refinement]

D Sala, H Batebi, K Ledwitch, P W Hildebrand, and J Meiler. Targeting in silico GPCR conformations with ultra-large library screening for hit discovery. Trends Pharmacol. Sci., (44)3:150--161, Elsevier BV, March 2023. [PUMA: topic_lifescience AlphaFold; GPCR; biased discovery; drug library ligands; structure-based ultra-large]

Elleansar Okwei, Shannon T Smith, Brian J Bender, Brittany Allison, Soumya Ganguly, Alexander Geanes, Xuan Zhang, Kaitlyn Ledwitch, and Jens Meiler. Rosetta's predictive ability for low-affinity ligand binding in fragment-based drug discovery. Biochemistry, (62)3:700--709, February 2023. [PUMA: topic_lifescience]

Kaitlyn V Ledwitch, Georg Künze, Jacob R McKinney, Elleansar Okwei, Katherine Larochelle, Lisa Pankewitz, Soumya Ganguly, Heather L Darling, Irene Coin, and Jens Meiler. Sparse pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction. J. Biomol. NMR, (77)3:69--82, June 2023. [PUMA: topic_lifescience (IMPs); (PCSs); (ncAAs); Click Integral Non-canonical Pseudocontact Rosetta; Structure acids amino chemistry; membrane prediction proteins shifts]

Brennica Marlow, Georg Kuenze, Jens Meiler, and Julia Koehler Leman. Docking cholesterol to integral membrane proteins with Rosetta. PLoS Comput. Biol., (19)3:e1010947, Public Library of Science (PLoS), March 2023. [PUMA: topic_lifescience]

Timm Intemann, Knut Kaulke, Dennis-Kenji Kipker, Vanessa Lettieri, Christoph Stallmann, Carsten Schmidt, Lars O. Geidel, Martin Bialke, Christopher Hampf, Dana Stahl, Martin Lablans, Martin Franke, Klaus Peter Kraywinkel, Joachim Kieschke, Sebastian Bartholomäus, Anatol-Fiete Näher, Galina Tremper, Mohamed Lambarki, Stefanie March, Fabian Prasser, Anna Christine Haber, Johannes Drepper, Irene Schlünder, Toralf Kirsten, Iris Pigeot, Ulrich Sax, Benedikt Buchner, Wolfgang Ahrens, and Sebastian Claudius Semler. White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland : August 2023. In NFDI4Health-Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten (Eds.), NFDI4Health - Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten (Projekt), 2023. [PUMA: topic_lifescience area_bigdata]

Anika Hannemann, Jan Ewald, Leo Seeger, and Erik Buchmann. Federated learning on transcriptomic data: Model quality and performance trade-offs. arXiv, 2024. [PUMA: topic_lifescience area_responsibleai]

Gijs Hendriksen, Michael Dinzinger, Sheikh Mastura Farzana, Noor Afshan Fathima, Maik Fröbe, Sebastian Schmidt, Saber Zerhoudi, Michael Granitzer, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, and Benno Stein. The Open Web Index: Crawling and Indexing the Web for Public Use. Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Springer, Berlin Heidelberg New York, March 2024. [PUMA: topic_language]

Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barriere, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, and Matthias Hagen. Overview of touché 2023: Argument and causal retrieval. Lecture Notes in Computer Science, 527--535, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_language topic_lifescience]

Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, and Jimmy Lin. Systematic evaluation of neural retrieval models on the touché 2020 argument retrieval subset of BEIR. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (618):1420--1430, ACM, New York, NY, USA, July 2024. [PUMA: topic_language]

Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, and Martin Potthast. Shared tasks as tutorials: A methodical approach. Proc. Conf. AAAI Artif. Intell., (37)13:15807--15815, Association for the Advancement of Artificial Intelligence (AAAI), June 2023. [PUMA: topic_language topic_knowledge]

Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. The information retrieval experiment platform. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, July 2023. [PUMA: topic_language topic_lifescience]

Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, and Martin Potthast. SemEval-2023 Task 5: Clickbait Spoiling. Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, Stroudsburg, PA, USA, 2023. [PUMA: topic_language]

Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, and Martin Potthast. ReNeuIR at SIGIR 2024: The third workshop on reaching efficiency in neural information retrieval. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (31):3051--3054, ACM, New York, NY, USA, July 2024. [PUMA: topic_language]

Maik Fröbe, Matti Wiegmann, Nikolay Kolyada, Bastian Grahm, Theresa Elstner, Frank Loebe, Matthias Hagen, Benno Stein, and Martin Potthast. Continuous integration for reproducible shared tasks with TIRA.Io. Lecture Notes in Computer Science, 236--241, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_language topic_knowledge]

Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, and Matthias Hagen. Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. 2024. [PUMA: topic_language] URL

Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, and Martin Potthast. Classification of shared tasks used in teaching. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, ACM, New York, NY, USA, July 2024. [PUMA: topic_language topic_knowledge]

Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, and Martin Potthast. The infinite index: Information retrieval on generative text-to-image models. arXiv, 2022. [PUMA: topic_language]

Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, and Martin Potthast. Evaluating Generative Ad Hoc Information Retrieval. arXiv, 2023. [PUMA: topic_language]

Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, and Matthias Hagen. A systematic investigation of distilling large language models into cross-encoders for passage re-ranking. arXiv, 2024. [PUMA: topic_language]

Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, and Martin Potthast. The Archive Query Log: Mining millions of search result pages of hundreds of search engines from 25 years of web archives. arXiv, 2023. [PUMA: topic_language topic_lifescience]

Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, and Matthias Hagen. Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders. 2024. [PUMA: topic_language] URL

Johannes Kiesel, Cagrı Cöltekin, Maximilian Heinrich, Maik Fröbe, Milad Alshomary, Bertrand De Longueville, Tomaz Erjavec, Nicolas Handke, Matyás Kopp, Nikola Ljubesić, Katja Meden, Nailia Mirzhakhmedova, Vaidas Morkevicius, Theresa Reitis-Münstermann, Mario Scharfbillig, Nicolas Stefanovitch, Henning Wachsmuth, Martin Potthast, and Benno Stein. Overview of Touché 2024: Argumentation Systems. Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part V, 466–473, Springer-Verlag, Berlin, Heidelberg, 2024. [PUMA: topic_language Argumentation, Human Ideology, Image retrieval values,] URL

Maik Fröbe, Lukas Gienapp, Martin Potthast, and Matthias Hagen. Bootstrapped nDCG estimation in the presence of unjudged documents. Lecture Notes in Computer Science, 313--329, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_language]

Fabian Ziegner, Janos Borst, Andreas Niekler, and Martin Potthast. Using language models on low-end hardware. arXiv, 2023. [PUMA: topic_language]

Guglielmo Faggioli, Laura Dietz, Charles Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, and Henning Wachsmuth. Perspectives on large language models for relevance judgment. arXiv, 2023. [PUMA: topic_language]

Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, and Guido Zuccon. Zero-shot Generative Large Language Models for Systematic Review Screening Automation. 2024. [PUMA: topic_language] URL

Harrisen Scells, Ferdinand Schlatt, and Martin Potthast. Smooth operators for effective systematic review queries. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, July 2023. [PUMA: topic_language]

Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Product Spam on YouTube: A Case Study. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 358–363, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: topic_language Content Quality, SEO, Spam, Web YouTube] URL

Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. Task-Oriented Paraphrase Analytics. arXiv, 2024. [PUMA: topic_language]

Matti Wiegmann, Jan Heinrich Reimer, Maximilian Ernst, Martin Potthast, Matthias Hagen, and Benno Stein. A Mastodon Corpus to Evaluate Federated Microblog Search. In Sheikh Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, and Saber Zerhoudi (Eds.), Proceedings of the First International Workshop on Open Web Search (WOWS 2024), (3689):37--49, CEUR Workshop Proceedings, March 2024. [PUMA: topic_language topic_lifescience] URL

Ines Zelch, Matthias Hagen, and Martin Potthast. A User Study on the Acceptance of Native Advertising in Generative IR. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 142–152, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: topic_language Advertising Generative LLMs, Search information retrieval,] URL

Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Is Google getting worse? A longitudinal investigation of SEO spam in search engines. Lecture Notes in Computer Science, 56--71, Springer Nature Switzerland, Cham, 2024. [PUMA: topic_language]

Wiegmann, Wolska, Schröder, Borchardt, Stein, Benno, and Potthast, Martin. Webis Trigger Warning Corpus 2023. Zenodo, 2023. [PUMA: topic_language]

Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Detecting Generated Native Ads in Conversational Search. Companion Proceedings of the ACM on Web Conference 2024, (5):722–725, ACM, May 2024. [PUMA: topic_language] URL

Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, and Martin Potthast. Spacerini: Plug-and-play search engines with Pyserini and Hugging Face. arXiv, 2023. [PUMA: topic_language]

Bogdan Ionescu, Henning Müller, Ana Maria Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Stor\aas, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia Sabrina Schmidt, Didier Schwab, Emmanuelle Esperanca-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, P\aal Halvorsen, Raphael Brüngel, Steven A. Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, and Wen-Wai Yim. Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. In Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, and Iadh Ounis (Eds.), Advances in Information Retrieval, 44--52, Springer Nature Switzerland, Cham, 2024. [PUMA: topic_language]

Harrisen Scells, and Martin Potthast. pybool\_ir: A Toolkit for Domain-Specific Search Experiments. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, July 2023. [PUMA: topic_language empty]

Janek Bevendorff, Philipp Sauer, Lukas Gienapp, Wolfgang Kircheis, Erik Körner, Benno Stein, and Martin Potthast. SMAuC -- the scientific multi-authorship corpus. arXiv, 2022. [PUMA: topic_language]

Janek Bevendorff, Mara Chinea-R\'ıos, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, and Eva Zangerle. Overview of PAN 2023: Authorship verification, multi-author writing style analysis, profiling cryptocurrency influencers, and trigger detection. Lecture Notes in Computer Science, 518--526, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_language]

Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. Paraphrase Acquisition from Image Captions. arXiv, 2023. [PUMA: topic_language]

Christopher Akiki, Giada Pistilli, Margot Mieskes, Matthias Gallé, Thomas Wolf, Suzana Ilić, and Yacine Jernite. BigScience: A case study in the social construction of a multilingual large language model. arXiv, 2022. [PUMA: topic_language]

Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite. Stable bias: Analyzing societal representations in diffusion models. arXiv, 2023. [PUMA: topic_language]

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo Garc\'ıa del R\'ıo, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, and Leandro von Werra. SantaCoder: don't reach for the stars!. arXiv, 2023. [PUMA: topic_language]

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. StarCoder: may the source be with you!. arXiv, 2023. [PUMA: topic_language]

Jennifer Ding, Christopher Akiki, Yacine Jernite, Anne Lee Steele, and Temi Popo. Towards openness beyond Open access: User journeys through 3 Open AI collaboratives. arXiv, 2023. [PUMA: topic_language]

Oliver Fernández Gil, Fabio Patrizi, Giuseppe Perelli, and Anni-Yasmin Turhan. Optimal alignment of temporal knowledge bases. Frontiers in Artificial Intelligence and Applications, IOS Press, September 2023. [PUMA: topic_knowledge]

Igor de Camargo e Souza Câmara, and Anni-Yasmin Turhan. Deciding subsumption in defeasible $$ELI_\textbackslashbot $$ with typicality models. Lecture Notes in Computer Science, 531--546, Springer Nature Switzerland, Cham, 2023. [PUMA: topic_knowledge]

Anni-Yasmin Turhan. Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk). In Oliver Kutz, Carsten Lutz, and Ana Ozaki (Eds.), Proceedings of the 36th International Workshop on Description Logics (DL 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023, (3515)CEUR-WS.org, 2023. [PUMA: topic_knowledge]

Alex Ivliev, Stefan Ellmauthaler, Lukas Gerlach, Maximilian Marx, Matthias Meißner, Simon Meusel, and Markus Krötzsch. Nemo: First glimpse of a new rule engine. arXiv, 2023. [PUMA: topic_knowledge topic_graph]

Franz Baader, and Filippo De Bortoli. On the Abstract Expressive Power of Description Logics with Concrete Domains. Description Logics, 2023. [PUMA: topic_knowledge] URL

Franz Baader, and Oliver Fernández Gil. Unification in the Description Logic $ELH_R^+$ without the Top Concept Modulo Cycle-Restricted Ontologies. In Christoph Benzmüller, Marijn J.H. Heule, and Renate A. Schmidt (Eds.), Automated Reasoning - 12th International Joint Conference, IJCAR 2024, Nancy, France, July 1-6, 2024, Proceedings, Part II, (14740):279--297, Springer, 2024. [PUMA: topic_knowledge]

Franz Baader, and Filippo De Bortoli. The abstract expressive power of first-order and description logics with concrete domains. Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, ACM, New York, NY, USA, April 2024. [PUMA: topic_knowledge]

Franz Baader, and Jürgen Giesl. On the Complexity of the Small Term Reachability Problem for Terminating Term Rewriting Systems. In Jakob Rehof (Eds.), 9th International Conference on Formal Structures for Computation and Deduction (FSCD 2024), (299):16:1--16:18, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2024. [PUMA: topic_knowledge] URL