M. Yayla, A. Toma, K. Chen, J. E. Lenssen, V. Shpacovitch, R. Hergenröder, F. Weichert and J. Chen, "Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms" , Sensors, Special Issue Surface Plasmon Resonance (SPR)-Based Sensors and Their Biological Applications, vol. 19, pp. 1-15, 2019.

doi.org/10.3390/s19194138

W. Tillmann, C. Schaak, J. Zajaczkowski, H. Müller, D. Hegels, M. Gaspar, B. Kuhlenkötter and D. D. Störkle, "Investigation of a procedure for the simulation-based optimisation of robot paths for thermal spraying" , Thermal Spray Bulletin, vol. 12, pp. 89-97, 2019.

M. Fey, "Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks" in ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019.

Datei

E. Rusakov, K. Brandenbusch, D. Fisseler, T. Somel, G. A. Fink, F. Weichert and G. Müller, "Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks" , International Workshop on Historical Document Imaging and Processing (HIP19) , pp. 19-24, 2019.

M. Fey and J. E. Lenssen, "Fast Graph Representation Learning with PyTorch Geometric" in ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019.

Datei

J. Deuse, L. Stankiewicz, R. Zwinkau and F. Weichert, "Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks - A proof of concept" , Advances in Human Factors and Systems Interaction (AHFE 2019), Advances in Intelligent Systems and Computing, vol. 959, pp. 141-150, 2019.

A. Toma, J. Wenner, J. E. Lenssen and J. Chen, "Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing" in 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019.

N. Kriege, M. Fey, D. Fisseler, P. Mutzel and F. Weichert, "Recognizing Cuneiform Signs Using Graph Based Methods" in International Workshop on Cost-Sensitive Learning (COST), 2018.

Datei

M. Fey, J. E. Lenssen, F. Weichert and H. Müller, "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. pp. 869-877.

Datei

A. Toma, A. Starinow, J. E. Lenssen and J. Chen, "Saving Energy for Cloud Applications in Mobile Devices using Nearby Resources" in 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2018.

D. Bachmann, F. Weichert and G. Rinkenauer, "Review of three-dimensional Human-Computer Interaction with Focus on the Leap Motion Controller" , Sensors, vol. 18, pp. 1-39, 2018.

10.3390/s18072194

W. Tillmann, C. Schaak, J. Zajaczkowski, H. Müller, D. Hegels, M. Gaspar, B. Kuhlenkötter and D. D. Störkle, "Investigation into the properties of HVOF-sprayed WC-Co coatings on plane and complex surfaces, manufactured with an evolution-based path planning method" , Thermal Spray Bulletin, vol. 11, 2018.

J. E. Lenssen, A. Toma, A. Seebold, V. Shpacovitch, P. Libuschewski, F. Weichert, J. Chen and R. Hergenröder, "Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks" , 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), vol. 4 (BIOSIGNALS), pp. 36-47, 2018.

J. E. Lenssen, M. Fey and P. Libuschewski, "Group Equivariant Capsule Networks" in Neural Information Processing Systems (NIPS) 32, 2018.

Datei

D. Stoller, I. Vatolkin and H. Müller, "Intuitive and efficient computer aided music rearrangement with optimised processing of audio transitions" , Journal of New Music Research (accepted for publication), 2018.

D. Bachmann, F. Bökler, J. Kopec, K. Popp, B. Schwarze and F. Weichert, "Multi-Objective Optimisation based Planning of Power-Line Grid Expansions" , ISPRS International Journal of Geo-Information, vol. 7, pp. 1-22, 2018.

10.3390/ijgi7070258

J. E. Lenssen, V. Shpacovitch, D. Siedhoff, P. Libuschewski, R. Hergenröder and F. Weichert, "A Review of Nano-Particle Analysis with the PAMONO-Sensor" , Biosensors: Advances and Reviews, IFSA Publishing, pp. 81-100, 2017.

A. Böckenkamp, C. Mertens, C. Prasse, J. Stenzel and F. Weichert, "A Versatile and Scalable Production Planning and Control System for Small Batch Series" , Industrial Internet of Things: Cybermanufacturing Systems, Springer, pp. 541-559, 2017.

V. Shpacovitch, I. Sidorenko, J. E. Lenssen, V. Temchura, F. Weichert, H. Müller, K. Überla, A. Zybin, A. Schramm and R. Hergenröder, "Application of the PAMONO-sensor for Quantification of Microvesicles and Determination of Nano-particle Size Distribution" , Sensors, vol. 17, pp. 1-14, 2017.

10.3390/s17020244

G. Rinkenauer, A. Böckenkamp and F. Weichert, "Man-Robot Collaboration in the Context of Industry 4.0: Approach-Avoidance Tendencies as an Indicator for the Affective Quality of Interaction?" , Advances in Ergonomic Design of Systems, Products and Processes: Proceedings of the Annual Meeting of GfA 2016, pp. 335-348, 2017.

J. E. Lenssen, V. Shpacovitch and F. Weichert, "Real-time Virus Size Classification using Surface Plasmon Resonance and Convolutional Neural Networks" , Bildverarbeitung für die Medizin 2017, pp. 98-103, 2017.

D. Siedhoff, M. Strauch, V. Shpacovitch and D. Merhof, "Unsupervised Data Analysis for Virus Detection with a Surface Plasmon Resonance Sensor" in IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017.

H. Müller and F. Weichert, Vorkurs Informatik - Der Einstieg ins Informatikstudium (2017). .... 5 Springer Vieweg, 2017.

D. Fisseler, G. Müller and F. Weichert, "Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research" , Informatics, vol. 4, pp. 1-16, 2017.

10.3390/informatics4040044

S. Skibinski, F. Weichert and H. Müller, "Selected Aspects Important from the Applied Point of View to the Fusion of Collective Vehicle Data" , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - MFI 2016, pp. 148-155, 2016.