Publications

Ringo Baumann, Matti Berthold, Dov M. Gabbay, und Odinaldo Rodrigues. Forgetting in Abstract Argumentation: Limits and Possibilities. Journal of Artificial Intelligence Research, (82)2025. [PUMA: abstract_argumentation argumentation forgetting topic_knowledge xack yaff] URL

Matti Berthold. On Syntactic Forgetting with relativized Strong Persistence. In Nina Gierasimczuk, und Jesse Heyninck (Hrsg.), Proceedings of the 22nd International Workshop on Nonmonotonic Reasoning (NMR 2024) co-located with 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), Hanoi, Vietnam, November 2-4, 2024, (3835):173--182, CEUR-WS.org, 2024. [PUMA: answer_set_programming forgetting logic_programming topic_knowledge xack yaff] URL

Lukas Gienapp, Niklas Deckers, Martin Potthast, und Harrisen Scells. Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins. CoRR, (abs/2407.21515)August 2024. [PUMA: xack yaff] URL

Michał Patryk Miazga, Daniel Abitz, Matthias Täschner, und Erhard Rahm. Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach. Datenbanksysteme für Business, Technologie und Web (BTW 2025), 331--354, Gesellschaft für Informatik, Bonn, 2025. [PUMA: topic_lifescience xack yaff]

Daniel Mederer, Hannes Feilhauer, Eya Cherif, Katja Berger, Tobias B. Hank, Kyle R. Kovach, Phuong D. Dao, Bing Lu, Philip A. Townsend, und Teja Kattenborn. Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100080, Elsevier BV, Dezember 2024. [PUMA: topic_earthenvironment xack yaff] URL

Kristina Vogel, Johanna Moeller, Nina G. Bozhanova, Markus Voehler, Anja Penk, Jens Meiler, und Clara T. Schoeder. Computational Engineering of siderocalin to modulate its binding affinity to the antihypertension drug candesartan. Journal of Structural Biology, (217)1:108180, 2025. [PUMA: topic_lifescience xack yaff] URL

Anderson Faustino da Silva, Jeronimo Castrillon, und Fernando Magno Quint\ ao Pereira. A Comparative Study on the Accuracy and the Speed of Static and Dynamic Program Classifiers. In IEEE (Hrsg.), Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction (CC 2025), Association for Computing Machinery, New York, NY, USA, März 2025. [PUMA: xack yaff]

Christopher Rost, Riccardo Tommasini, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W Hare, Stefan Plantikow, Petra Selmer, und Hannes Voigt. Seraph: Continuous Queries on Property Graph Streams.. EDBT, 234--247, 2024. [PUMA: area_bigdata topic_graph xack yaff]

Miriam Louise Carnot, Eric Peukert, und Bogdan Franczyk. Enhancing Roadway Safety: LIDAR-based Tree Clearance Analysis. CoRR, (abs/2402.18309)2024. [PUMA: area_bigdata xack yaff] URL

Vincent D Friedrich, Peter Pennitz, Emanuel Wyler, Julia M Adler, Dylan Postmus, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, und Geraldine Nouailles. Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease. Cold Spring Harbor Laboratory, Januar 2024. [PUMA: Data HCOVID-19 Severity States scRNAseq xack yaff] URL

João Paulo C. de Lima, Benjamin F. Morris III, Asif Ali Khan, Jeronimo Castrillon, und Alex K. Jones. Count2Multiply: Reliable In-memory High-Radix Counting. In arxiv (Hrsg.), 1-14, Arxiv, September 2024. [PUMA: LLM accelerator computing-in-memory xack yaff] URL

David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, und et al.. Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science, (3):e27, 2024. [PUMA: topic_earthenvironment xack yaff]

Maximilian Joas, Daniel Freund, Robert Haase, Erhard Rahm, und Jan Ewald. Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily. bioRxiv, Cold Spring Harbor Laboratory, 2025. [PUMA: topic_lifescience xack yaff] URL

Tom Richard Vargis, und Siavash Ghiasvand. Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. Proceedings of the International Workshop on Data-driven Resilience Research, (3376)arXiv, Leipzig, Germany, Dezember 2022. [PUMA: xack yaff] URL

Tom Richard Vargis, und Siavash Ghiasvand. Content-Aware Depth-Adaptive Image Restoration. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, Januar 2024. [PUMA: xack yaff] URL

Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, und Sebastian Engelke. Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events. Artificial Intelligence for the Earth Systems, (4)1:e240033, American Meteorological Society, Boston MA, USA, 2025. [PUMA: topic_earthenvironment xack yaff] URL

Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Joerg K. H. Franke, und Frank Hutter. HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS'24), 2024. [PUMA: AutoML Xack Yaff large_language_models neural_architecture_search]

Jakob Rehof. LIPIcs, Volume 299, FSCD 2024, Complete Volume. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024. [PUMA: Xack Yaff imported] URL

Parvaneh Joharinad, und Jürgen Jost. Weighted complexes, cohomology and Laplace operators. Mathematical Principles of Topological and Geometric Data Analysis, 2:65--81, Springer International Publishing, Cham, 2023. [PUMA: Laplace Weighted Xack Yaff cohomology complexes operators]

Akshay Akshay, Masoud Abedi, Navid Shekarchizadeh, Fiona C Burkhard, Mitali Katoch, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. MLcps: machine learning cumulative performance score for classification problems. GigaScience, (12):giad108, Dezember 2023. [PUMA: MLcps Xack Yaff cumulative learning machine performance] URL