Center for Artificial Intelligence Luebeck (ZKIL)

Research output

Research Output per year 2017 2020 2021 2022 2023 2024

• 762 Citations
• 107 Journal articles
• 78 Conference contribution
• 36 Conference Papers
• 7 Chapter
• 24 More
  • 6 Editorial
  • 3 Anthologies
  • 3 Conference proceedings
  • 2 Books
  • 2 Abstracts
  • 2 Comments/Debates
  • 2 Doctoral Theses
  • 1 Poster
  • 1 Conference Articles in Journals
  • 1 Article
  • 1 Preprint

Research Output per year

Research Output per year

Search results

• 2024

  Binary classification of gait impairments using a capacitance-based sensor floor system

  Najork, S., Liebenow, L., Scherf, L. P., Steinhage, A., Sieciński, S. & Grzegorzek, M., 29.01.2024, p. 105-106. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Capacitance 100%
  • Random forests 61%
  • Sensors 59%

• Does glucose affect our vision? A preliminary study using smart glasses

  Doniec, R., Piaseczna, N., Sieciński, S., Grzegorzek, M. & Tkacz, E. J., 29.01.2024, p. 113-114. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Glucose 100%
  • Blood 81%
  • Glass 69%
  • Wearable sensors 36%
  • Machine learning 21%

• Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

  Sieciński, S., Scherf, L. P. & Grzegorzek, M., 29.01.2024, p. 161-162. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Multilayer neural networks 100%
  • Electrocardiography 95%
  • Classifiers 68%
  • Random forests 51%
  • Support vector machines 39%

• Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

  Moualhi, A., Nezami, M., Mulhem, S. & Schildbach, G., 2024.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Deep neural networks 100%
  • Kinematics 27%
  • Artificial intelligence 12%
  • Motion tracking 8%
  • Long short-term memory 7%

• Obelix: Mitigating Side-Channels Through Dynamic Obfuscation

  Wichelmann, J., Rabich, A., Pätschke, A. & Eisenbarth, T., 2024.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2023

  Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction

  Sieciński, S., Irshad, M. T., Hasan, M. A., Tkacz, E. & Grzegorzek, M., 10.2023, p. 15:1-15:5. 5 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Classifiers 100%
  • Random forests 99%
  • Biomedical signal processing 73%
  • Frequency domain analysis 59%
  • Time domain analysis 59%

• Cipherfix: Mitigating Ciphertext Side-Channel Attacks in Software

  Wichelmann, J., Pätschke, A., Wilke, L. C. & Eisenbarth, T., 2023.

  Research output: Contribution to conference › Conference Papers › peer-review

• Introducing a non-invasive app for cardiovascular disease diagnosis support - a pilot study

  Doniec, R. J., Piaseczna, N., Berepiki, E., Irshad, M. T., Huang, X., Sieciński, S. & Grzegorzek, M., 2023.

  Research output: Contribution to conference › Conference Papers › peer-review

• MAMBO–V: Dynamic Side-Channel Leakage Analysis on RISC–V

  Wichelmann, J., Peredy, C., Sieck, F., Pätschke, A. & Eisenbarth, T., 2023, p. 3-23. 21 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Publicly available signal databases containing seismocardiographic signals-the state in early 2023

  Sieciński, S., Grzegorzek, M. & Tkacz, E. J., 11.12.2023, p. 1-4. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • artifact 100%
  • cardiovascular disease 69%
  • analysis 63%
  • inspection 54%
  • transform 46%

• Symmetric Projection Attractor Reconstruction Analysis As a Method for Assessment of The Quality of Seismocardiograms in Healthy Population

  Sieciński, S., Irshad, M. T., Hasan, M. A., Tkacz, E. J., Kostka, P. S. & Grzegorzek, M., 11.12.2023, p. 1-4. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Value engineering 100%
  • Inspection 61%

• Unsupervised Estimation of Subjective Content Descriptions.

  Bender, M., Braun, T., Möller, R. & Gehrke, M., 2023, p. 266-273. 8 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2022

  Accelerated Parallel Hybrid GPU/CPU Hash Table Queries with String Keys.

  Groth, T., Groppe, S., Pionteck, T., Valdiek, F. & Koppehel, M., 2022, p. 191-203. 13 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Graphics processing unit 100%
  • Program processors 90%
  • Glossaries 7%
  • Throughput 5%

• Continuous benchmarking in medical image registration-review of the current state of the Learn2Reg challenge

  Hansen, L., Hering, A. D., Großbröhmer, C. & Heinrich, M., 21.04.2022.

  Research output: Contribution to conference › Conference Papers › peer-review

• Embodiment of an Agent by a Pepper Robot for Explaining Retrieval Results.

  Schiff, S., Bender, M. & Möller, R., 2022, p. 29-37.

  Research output: Contribution to conference › Conference Papers › peer-review

• Enhancing data quality and process optimization for smart manufacturing lines in industry 4.0 scenarios.

  Paasche, S. & Groppe, S., 12.06.2022, p. 9:1-9:7. 7 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Digital twin 100%
  • Industry 4.0 84%
  • Productivity 27%
  • Planning 21%
  • Industry 14%

• Estimating Context-Specific Subjective Content Descriptions using BERT.

  Bender, M., Kuhr, F., Braun, T. & Möller, R., 2022, p. 171-172.

  Research output: Contribution to conference › Conference Papers › peer-review

• Microwalk-CI: Practical Side-Channel Analysis for JavaScript Applications

  Wichelmann, J., Sieck, F., Pätschke, A. & Eisenbarth, T., 2022.

  Research output: Contribution to conference › Conference Papers › peer-review

• Towards Test Bench for Aspiration Catheters in Realistic Evaluation Scenarios

  Paulsen, B. A., Schwenke, H., Schramm, P., Männel, G. & Rostalski, P., 2022. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2021

  A Platform for Interactive Data Science with Apache Spark for On-premises Infrastructure.

  Lokuciejewski, R., Schüssele, D., Wilhelm, F. & Groppe, S., 2021, p. 65-76.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Data Science 100%
  • Electric sparks 74%
  • Requirements engineering 42%
  • User experience 36%
  • Big data 33%

• B-spline path planner for safe navigation of mobile robots.

  Nguyen, N. T., Schilling, L., Angern, M. S., Hamann, H., Ernst, F. & Schildbach, G., 2021, p. 339-345.

  Research output: Contribution to conference › Conference Papers › peer-review

• CuART - a CUDA-based, scalable Radix-Tree lookup and update engine.

  Koppehel, M., Groth, T., Groppe, S. & Pionteck, T., 2021, p. 12:1-12:10.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Graphics processing unit 100%
  • Engines 68%
  • Memory architecture 33%
  • Data storage equipment 32%
  • Clocks 22%

• Extracting Context-Free Grammars from Recurrent Neural Networks using Tree-Automata Learning and A* Search.

  Barbot, B., Bollig, B., Finkel, A., Haddad, S., Khmelnitsky, I., Leucker, M., Neider, D., Roy, R. & Ye, L., 2021, p. 113-129.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Context free grammars 100%
  • Recurrent neural networks 77%
  • Learning algorithms 62%
  • Context free languages 37%
  • Problem-Based Learning 28%

• Flexible data partitioning schemes for parallel merge joins in semantic web queries.

  Warnke, B., Rehan, M. W., Fischer, S. & Groppe, S., 2021, p. 237-256.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Semantic Web 100%
  • Experiments 34%

• Medical Data Engineering - Theory and Practice.

  Kock-Schoppenhauer, A-K., Schreiweis, B., Ulrich, H., Reimer, N., Wiedekopf, J., Kinast, B., Busch, H., Bergh, B. & Ingenerf, J., 2021, p. 269-284.

  Research output: Contribution to conference › Conference Papers › peer-review

• New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

  Andresen, J., Uzunova, H., Ehrhardt, J. & Handels, H., 2021, p. 111-114.

  Research output: Contribution to conference › Conference Papers › peer-review

• On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm.

  Gehrke, M., 2021.

  Research output: Contribution to conference › Conference Papers › peer-review

• Optimizing Transaction Schedules on Universal Quantum Computers via Code Generation for Grover's Search Algorithm.

  Groppe, S. & Groppe, J., 2021, p. 149-156.

  Research output: Contribution to conference › Conference Papers › peer-review

• Property-Directed Verification and Robustness Certification of Recurrent Neural Networks.

  Khmelnitsky, I., Neider, D., Roy, R., Xie, X., Barbot, B., Bollig, B., Finkel, A., Haddad, S., Leucker, M. & Ye, L., 2021, p. 364-380.

  Research output: Contribution to conference › Conference Papers › peer-review

• Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning

  Schumacher, M., Frey, D., Ha, I. Y., Genz, A., Bade, R. & Heinrich, M. P., 2021, p. 16-21.

  Research output: Contribution to conference › Conference Papers › peer-review

• Semantic Hybrid Multi-Model Multi-Platform (SHM3P) Databases.

  Groppe, S., 2021, p. 16-26.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2020

  A task-dependent active learning method for axon segmentation with CNNs

  Grüning, P., Palumbo, A., Zille, M., Barth, E. & Mamlouk, A. M., 16.02.2020. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Axons 100%
  • Problem-Based Learning 78%
  • Labeling 66%
  • Convolutional neural networks 61%
  • Large dataset 36%

• Cone semantics for logics with negation

  Özçep, Ö. L., Leemhuis, M. & Wolter, D., 08.07.2020, p. 1820 - 1826. 7 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Cones 100%
  • Semantics 72%
  • Ontology 60%
  • Machine learning 52%
  • Knowledge representation 38%

• Learning to map between ferns with differentiable binary embedding networks

  Blendowski, M. & Heinrich, M. P., 2020.

  Research output: Contribution to conference › Conference Papers › peer-review

• New Approaches in Ordinal Pattern Representations for Multivariate Time Series

  Mohr, M., Wilhelm, F., Hartwig, M., Möller, R. & Keller, K., 01.05.2020, p. 124-129. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Time series 100%
  • Electrocardiography 16%
  • Entropy 13%
  • Learning algorithms 13%
  • Machine learning 12%

• Parallelizing Approximate Search on Adaptive Radix Trees

  Groth, T., Groppe, S., Koppehel, M. & Pionteck, T., 2020, p. 56-67. 12 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Program processors 100%
  • Throughput 32%
  • Cache memory 30%
  • Data storage equipment 28%
  • Random access storage 25%