Skip to main content Skip to main navigation

Publications

Displaying results 111 to 120 of 14584.
  1. Ruidi Qiu; Grace Li Zhang; Rolf Drechsler; Ulf Schlichtmann; Bing Li

    CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design

    In: Design, Automation and Test in Europe Conference (DATE). Design, Automation & Test in Europe (DATE-2025), March 31 - April 2, Lyon, France, 2025.

  2. FrEDDY: Modular and Efficient Framework to Engineer Decision Diagrams Yourself

    In: Design, Automation and Test in Europe Conference (DATE). Design, Automation & Test in Europe (DATE-2025), March 31 - April 2, Lyon, France, 2025.

  3. Sajjad Parvin; Sallar Ahmadi-Pour; Chandan Kumar Jha; Frank Sill Torres; Rolf Drechsler

    Lower the RISC: Designing optical-probing-attack-resistant cores

    In: Microprocessors and Microsystems (MICPRO), Vol. 111, Elsevier, 2024.

  4. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  5. Szymon Siecinski; Rafal Jan Doniec; Marcin Grzegorzek

    Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 587-590, De Gruyter, 2024.

  6. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

  7. Zhixiang Wang; Huiqiao Gao; Xinghao Wang; Marcin Grzegorzek; Jinfeng Li; Hengzi Sun; Yidi Ma; Xuefang Zhang; Zhen Zhang; Andre Dekker; Alberto Traverso; Zhenyu Zhang; Linxue Qian; Meizhu Xiao; Ying Feng

    A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery

    In: BMC Women's Health, Vol. 24, No. 425 (2024), Springer, 2024.

  8. Tianming Du; Yihao Sun; Xinghao Wang; Tao Jiang; Ning Xu; Zeyd Boukhers; Marcin Grzegorzek; Hongzan Sun; Chen Li

    A non-enhanced CT-based deep learning diagnostic system for COVID-19 infection at high risk among lung cancer patients

    In: Frontiers in medicine, Vol. 11, Pages 1-1, Frontiers Media SA, 2024.