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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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Green, O., Nørremark, M., Lund, I. & Jørgensen, R. (2007). Udvikling af redskaber til HortiBot. Poster session presented at Temadag på Institut for Jordbrugsteknik - et vindue til fremtidens markteknologi, Horsens.
Kayacan, E., Sarabakha, A., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2018). Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty. Engineering Applications of Artificial Intelligence, 70, 170-183. https://doi.org/10.1016/j.engappai.2018.02.004
Rehman, N. U., Abbas, S. Z., Asif, A., Javed, A., Naveed, K. & Mandic, D. P. (2017). Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Processing, 131, 220-234. https://doi.org/10.1016/j.sigpro.2016.08.019
Lausdahl, K. G., Bjerge, K., Bokhove, T., Groen, F. & Larsen, P. G. (2017). Transitioning from Crescendo to INTO-CPS. In J. S. Fitzgerald, P. W. V. Tran-Jørgensen & T. Oda (Eds.), The 15th Overture Workshop: New Capabilities and Applications for Model-based Systems Engineering: Proceedings (pp. 16-30). Newcastle University.
Larsen, O. V., Haase, J., Hansen, K. V., Brix, L. C. & Pedersen, C. F. (2003). Training brain retraction in a virtual reality environment. In Westwood, J.D. : Hoffman, H.M. : Mogel, G.T. : Phillips, R. : Robb, R.A. : Stredney, D. (eds.) (Ed.), Medicine Meets Virtual Reality 11 - NextMed: Health Horizon, MMVR 11, Newport Beach, CA, USA], [22-25 January: Studies in Health Technology and Informatics (94 ed., pp. 174-180).
Christensen, S., Jørgensen, R. & Egebirk, T. B. (2003). Trådløst netværk i landbruget. In Nyeste teknologi i markbruget. Danmarks JordbrugsForskning og Landbrugets Rådgivningscenter konference: Teknik i Landbruget 2003, Scandinavian Congress Center, Aarhus, 20.3.03. Bila (pp. 48-48)
Christensen, S., Jørgensen, R. & Christiansen, T. (2003). Trådløst netværk i landbruget: Nyeste teknologi i markbruget. In Ikke angivet (pp. 48). Dansk Landbrugsrådgivning og Danmarks JordbrugsForskning.
Jensen, K. L., Pedersen, C. F. & Larsen, L. B. (2006). Towards useful and usable services in personal networks. In IEEE, 3rd Annual International Conference on Mobile and Ubiquitous System - Networking and Services (pp. 1-8). https://doi.org/10.1109/MOBIQ.2006.340415
Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., Mann, H. M. R. & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775. https://doi.org/10.1111/ele.14123
Djanian, S., Nielsen, T. D., Nielsen, S. H. & Bruun, A. (2026). Towards real-time sleep stage classification: a deep learning approach leveraging PPG and ECG. Physiological Measurement, 47(4), Article 045007. https://doi.org/10.1088/1361-6579/ae5458
Blanchet, V., Lochbrunner, S., Schmitt, M., P. Shaffer, J., Larsen, J. J., Z. Zgierski, M., Seideman, T. & Stolow, A. (2000). Towards disentangling coupled electronic-vibrational dynamics in ultrafast non-adiabatic processes. Faraday Discussions, 115, 33-48. https://doi.org/10.1039/b001138j
Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R. & Toftegaard, T. S. (2016). Towards Data-Driven Precision Agriculture using Open Data and Open Source Software. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
Larsen, M., Adam, M. S., Schultz, U. P. & Nyholm Jørgensen, R. (2014). Towards automatic consistency checking of software components in field robotics. In Proceedings of the Second International Conference on Robotics, Associated High-Technologies and Equipment for Agriculture and Forestry - RHEA 2014: New trends in mobile robotics, perception and actuation for agriculture and forestry (pp. 409-418)
Roy, D. B., Alison, J., August, T. A., Bélisle, M., Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F., Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L., Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L. ... Høye, T. T. (2024). Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1904), Article 20230108. https://doi.org/10.1098/rstb.2023.0108
Pedersen, C. F. (2016). Total Variation Optimization for Compressed Sensing Image Reconstruction. Faculty of Engineering and Science, Dept. of Computer Science, Aalborg University.
Pedersen, M. N., Letschnik, J., Schelde, L., Karstoft, H., Schurig, F. & Walter, U. (2013). Three-dimensional radiation pattern measurement strategy for ground station antennas. International Journal of Satellite Communications and Networking, 31(1), 39-50. https://doi.org/10.1002/sat.1020
Sørensen, R. A., Rasmussen, J., Nielsen, J. & Nyholm Jørgensen, R. (2017). Thistle detection using convolutional neural networks. In 2017 EFITA WCCA Congress - European conference dedicated to the future use of ICT: Conference Proceedings (pp. 161-162). Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture. http://www.efita2017.org/wp-content/uploads/2017/09/EFITA_WCCA_2017_proceedings.pdf#page=187
Jørgensen, R., Sørensen, C. A. G., Jacobsen, H., Kirk, K., Andersen, H. J. & Nantt, D. (2005). The potential of using robotics for data acquisition from multiple sensors within agricultural research. In Intelligent Systems in Design and Manufacturing VI. Proc. of SPIE Vol. 5999, 82-93. http://www.spiedl.org/
Christensen, S., Wu, O., Butcher, K., Hjort, N., Karstoft, H., Davis, S. & Østergaard, L. (2006). The Physiological Significance of the Tmax Parameter in Bolus Tracking MRI. Abstract from ISMRM 14th Annual Meeting, Seattle, United States.
Mortensen, A. K., Skovsen, S., Karstoft, H. & Gislum, R. (2019). The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. Poster session presented at IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, California, United States.
Mortensen, A. K., Skovsen, S., Karstoft, H. & Gislum, R. (2019). The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 2703-2710). Article 9025602 IEEE. https://doi.org/10.1109/CVPRW.2019.00328
Jørgensen, R. & Jørgensen, B. J. (1996). The effect of N2O emission on the net CO2-displacement by energy crop production. In Chartier, P., Ferrero, G. L., Henius, U.M., Hultbeg, S., Sachau, J. & Wiinblad, M. (eds.), Biomass for energy and the environment. Proc. 9th Europ. bioenergy conf., Copenhagen, Denmark. Vol. 3 (pp. 1701-1706)
Steen, K. A. & Karstoft, H. (2014). The acoustic adaptive frightening device-framework and algorithms. In 2014 IEEE Global Conference on Signal and Information Processing : GlobalSIP 2014 (pp. 1117-1121). IEEE. https://doi.org/10.1109/GlobalSIP.2014.7032295
Hejlesen, O. K., Larsen, L. B. & Pedersen, C. F. (2006). Telemedicine supported patient-centred diabetes care. In Proceedings 4th Scandinavian Conference on Health Informatics, SHI2006, 24-25 August 2006, Aalborg, Denmark