| Issue Date | Title | Involved Person(s) |
| Jun-2024 | Machine learning for robust structural uncertainty quantification in fractured reservoirs | Dashti, Ali; Stadelmann, Thilo; Kohl, Thomas |
| Jun-2024 | Certification scheme for artificial intelligence based systems | Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann, et al |
| 31-May-2024 | Automated process monitoring in injection molding via representation learning and setpoint regression | Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F., et al |
| 31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
| 31-May-2024 | MLOps as enabler of trustworthy AI | Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter, et al |
| 31-May-2024 | So you want your private LLM at home? : a survey and benchmark of methods for efficient GPTs | Tuggener, Lukas; Sager, Pascal; Taoudi-Benchekroun, Yassine; Grewe, Benjamin F.; Stadelmann, Thilo |
| 7-Apr-2024 | Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions | Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf, et al |
| 26-Mar-2024 | Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features | Neururer, Daniel; Dellwo, Volker; Stadelmann, Thilo |
| 16-Mar-2024 | On prediction-modelers and decision-makers : why fairness requires more than a fair prediction model | Scantamburlo, Teresa; Baumann, Joachim; Heitz, Christoph |
| 11-Mar-2024 | AI can empower agriculture for global food security : challenges and prospects in developing nations | Ahmad, Ali; Liew, Anderson X. W.; Venturini, Francesca; Kalogeras, Athanasios; Candiani, Alessandro, et al |
| Mar-2024 | ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems | Zhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia, et al |
| Mar-2024 | Detecting anomalies in time series using kernel density approaches | Frehner, Robin; Wu, Kesheng; Sim, Alexander; Kim, Jinoh; Stockinger, Kurt |
| 26-Jan-2024 | A generic machine learning framework for fully-unsupervised anomaly detection with contaminated data | Ulmer, Markus; Zgraggen, Jannik; Goren Huber, Lilach |
| 22-Jan-2024 | Spider4SPARQL : a complex benchmark for evaluating knowledge graph question answering systems | Kosten, Catherine; Cudré-Mauroux, Philippe; Stockinger, Kurt |
| 2-Jan-2024 | A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions | Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A., et al |
