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Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Patel, S., Sarabakha, A., Kircali, D. & Kayacan, E. (2020). An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots. Journal of Intelligent and Robotic Systems: Theory and Applications, 97(2), 387-398. https://doi.org/10.1007/s10846-019-01031-z
Park, C., Looney, D., Rehman, N. U., Ahrabian, A. & Mandic, D. P. (2013). Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(1), 10-22. https://doi.org/10.1109/tnsre.2012.2229296
Ong, S.-Q., Pinoy, N., Hui Lin, M., Bjerge, K., Peris-Felipo, F. J., Lind, R., P. Cuff, J., M. Cook, S. & Høye, T. T. (2025). ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models. Current Research in Parasitology & Vector-Borne Diseases, 7, Artikel 100268. https://doi.org/10.1016/j.crpvbd.2025.100268
Olesen, H., Jiang, B., Butkus, A., Schultz, N., Saugstrup, D., Sørensen, L., Pedersen, C. F., Jensen, J. J., Larsen, L. B., Björksten, M., Markopoulos, A., Gkanas, I., Kaldanis, V., Prasad, R., Alm, K., Vila, J. P. & Köstering, N. (2004). User Requirements for PN to Drive the Definition of a Valid Architecture. (1. udgave udg.).
Olesen, H., Jiang, B., Schultz, N., Sørensen, L., Saugstrup, D., Skouby, K. E., Pedersen, C. F., Larsen, L. B., Bjorksten, M., Kaldanis, V., Prasad, R., Olséni, C., Roswall, R. & Vila, J. (2005). Final user requirements for the PN service architecture. Information Society Technologies, My Personal Adaptive Global NET (MAGNET), IST 507102.
Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. I N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (red.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (s. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075
Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. I A. Iosifidis & A. Tefa (red.), Deep Learning for Robot Perception and Cognition (s. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810
Oleksiienko, I. & Iosifidis, A. (2023). Layer Ensembles. I D. Comminiello & M. Scarpiniti (red.), 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) IEEE. https://doi.org/10.1109/MLSP55844.2023.10286005
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2
Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Nyord, T., Steen, K. A. & Nyholm Jørgensen, R. (2014). Infrared measurements used as soil infiltration indicator for animal slurry. I International Conference of Agricultural Engineering - AgEng 2014 Zurich The European Society of Agricultural Engineers (EurAgEng). http://www.geyseco.es/ageng2014/eposter/?seccion=posters&idcomunicacion=556&tipo=3
Nyholm Jørgensen, R., Brandt , M. B., Schmidt, T., Laursen, M. S., Larsen, R., Nørremark, M., Midtiby, H. S. & Christiansen, P. (2015). Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification. I J. V. Stafford (red.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Engineering (Bind 2015, s. 151-158). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_18
Nyholm Jørgensen, R., Steen, K. A. & Olesen, C. R. (2015). Method for removing animals from a field. (Patentnummer DK2015/050155).
Nielsen, K. K., Andersen, H. J., Thomsen, A., Jørgensen, J. R. & Jørgensen, R. N. (2009). Estimation of leaf area index in cereal crops using red–green images. Biosystems Engineering, 104(3), 308-317. https://doi.org/10.1016/j.physletb.2003.10.071
Nielsen, L., Olesen, C. R., Nyholm Jørgensen, R. & Fris, H. J. (2015). Sikring af levesteder på engarealer med biomassehøst i kombination med vildthensyn. Poster-session præsenteret på Biodiversitetssymposiet 2015, Aarhus , Danmark.
Nielsen, M. R., Laursen, M. S., Jonassen, M. S., Nielsen, K. & Nyholm Jørgensen, R. (2013). Gall mite inspection on dormant black currant buds using machine vision. I Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013 (s. 517-524) http://www.scopus.com/inward/record.url?scp=84893421680&partnerID=8YFLogxK