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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Larsen, J. J. (2016). Model-based subtraction of spikes from surface nuclear magnetic resonance data. Geophysics, 81(4), WB1-WB8. https://doi.org/10.1190/geo2015-0442.1

Dalgaard, E., Auken, E. & Larsen, J. J. (2012). Model-based noise cancelling of multichannel magnetic resonance sounding measurements. In Near Surface Geoscience 2012 European Association of Geoscientists and Engineers, EAGE. http://www.scopus.com/inward/record.url?scp=84898482260&partnerID=8YFLogxK

Larsen, J. J., Dalgaard, E. B. & Auken, E. (2012). Model-based cancelling of powerline harmonics in multichannel MRS recordings. Abstract from Magnetic Resonance in the Subsurface, Hannover, Germany.

Skovsen, S. K. (2021). Mixed Crop Mapping by Species Discrimination using Data Driven Computer Vision and Simulated Data. Århus Universitet.

Ma, X., J. Hegarty, P. & Larsen, J. J. (2018). Mitigation of Nonlinear Distortion in Sound Zone Control by Constraining Individual Loudspeaker Driver Amplitudes. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2018, 456-460. https://doi.org/10.1109/ICASSP.2018.8462135

Grombacher, D., Liu, L., Osterman, G. K. & Larsen, J. J. (2021). Mitigating Narrowband Noise Sources Close to the Larmor Frequency in Surface NMR. IEEE Geoscience and Remote Sensing Letters, 18(8), 1376-1380. https://doi.org/10.1109/LGRS.2020.3000639

Sørensen, C. A. G., Bak, T. & Jørgensen, R. (2004). Mission planner for agricultural robotics. In AgEng 2004, Leuven, Belgium. Book of Abstracts, ISBN 90-76019-258, 894-895. Paper on CD, 8 pp. (pp. 8) https://www.researchgate.net/publication/280315702_Mission_planner_for_agricultural_robotics

Alvarez Tunon, O., Kanner, H., Ribeiro Marnet, L., Pham, X. H., Sejersen, J. L. F., Brodskiy, Y. & Kayacan, E. (2023). MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6141-6148). IEEE. https://doi.org/10.1109/IROS55552.2023.10341436

Lochbrunner, S., Larsen, J. J., Shaffer, J. P., Schmitt, M., Schultz, T., Underwood, J. G. & Stolow, A. (2000). Methods and applications of femtosecond time-resolved photoelectron spectroscopy. Journal of Electron Spectroscopy and Related Phenomena, 112(1-3), 183-198. https://doi.org/10.1016/S0368-2048(00)00212-7

Jørgensen, R., Sørensen, C. A. G., Søgaard, H. T., Kristensen, K., Green, O. & Christensen, S. (2007). Methodology for a Labor Extensive and Semi-Automated Field Trial Design Using Autoguidance and Comventional Machinery. In J. V. Stafford (Ed.), Ikke angivet (pp. 441-449). Wageningen Academic Publishers.

Nyholm Jørgensen, R., Steen, K. A. & Olesen, C. R. (2015). Method for removing animals from a field. (Patent No. DK2015/050155).

Christiansen, M. P. & Nyholm Jørgensen, R. (2015). Method for recording and predicting position data for a selfpropelled wheeled vehicle, and delivery or pick up system comprising a self-propelled, self-guided wheeled vehicle. (Patent No. DK178276 (B1) ).

Jørgensen, R. N., Green, O., Gislum, R. & Sørensen, C. A. G. (2010). Method for optimizing harvesting of crops. (Patent No. WO/2010/003421). http://www.wipo.int/pctdb/en/wo.jsp?WO=2010003421&IA=DK2009050150&DISPLAY=DESC

Jørgensen, R. N., Green, O., Sørensen, C. A. G. & Gislum, R. (2008). Method for optimizing harvesting of crops. (Patent No. PA 2008 00955).

S. Nadimi, E., Jørgensen, R. N. & Oudshoorn, F. W. (2011). Method and system for estimating herbage uptake of an animal. (Patent No. PCT/DK2010/050334).

Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s

D'Inverno, G. A., Moradizadeh, S., Salavatidezfouli, S., Africa, P. C. & Rozza, G. (2025). Mesh-informed Reduced Order Models for aneurysm rupture risk prediction. Journal of Computational and Applied Mathematics, 470, Article 116727. https://doi.org/10.1016/j.cam.2025.116727

Lang, X., Rehman, N. U., Zhang, Y., Xie, L. & Su, H. (2020). Median ensemble empirical mode decomposition. Signal Processing, 176, Article 107686. https://doi.org/10.1016/j.sigpro.2020.107686

Somerville, G. J., Nyholm Jørgensen, R., Bojer, O. M., Rydahl, P., Dyrmann, M., Andersen, P., Jensen, N.-P. & Green, O. (2019). Marrying futuristic weed mapping with current herbicide sprayer capacities. In J. V. Stafford (Ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (pp. 231-237). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-888-9_28

Jensen, B.-E., Andersen, H. J. & Jørgensen, R. (2004). Markrobotten arbejder. Agrologisk, 10, 12-13.

Green, O. & Jørgensen, R. (2007). Markforsøg med hundredvis af parceller. Bovilogisk, (5), 25.

Dobbs, A. M., Goldsmith, A. S., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2024). Mapping predicted biomass in cereal rye using 3D imaging and geostatistics. Weed Science, 72(5), 553-561. https://doi.org/10.1017/wsc.2024.62

Larsen, J. J., Dalgaard, E. B., Christiansen, P. & Auken, E. (2015). Mapping of electromagnetic noise in a magnetic resonance sounding context. In ASEG Extended Abstracts - 24th International Geophysical Conference and Exhibition: Geophysics and Geology Together for Discovery (Vol. 2015/1). CSIRO Publishing. https://doi.org/10.1071/ASEG2015ab241

Skovsen, S., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2018). Mapping of Clover Grass Leys using Image Recognition. Poster session presented at DTU and DIKU Summer School: Optimization in Image Analysis, Denmark. http://optimization-image-analysis.compute.dtu.dk/posters/soren_skovsen.pdf

Chavez Plascencia, A. & Karstoft, H. (2014). Map Building based on a Xtion Pro Live RGBD and a Laser Sensors. Journal of Information Technology & Software Engineering, 4, Article 126. https://doi.org/10.4172/2165-7866.1000126

Bording, T. S., Asif, M. R., Barfod, A. S., Larsen, J. J., Zhang, B., Grombacher, D. J., Christiansen, A. V., Engebretsen, K. W., Pedersen, J. B., Maurya, P. K. & Auken, E. (2021). Machine learning based fast forward modelling of ground-based time-domain electromagnetic data. Journal of Applied Geophysics, 187, Article 104290. https://doi.org/10.1016/j.jappgeo.2021.104290

Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), Article 1786. https://doi.org/10.3390/electronics12081786

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Low noise, multichannel surface NMR receiver system with wireless connections to receiver coils. Abstract from First Australian Exploration Geoscience Conference, Sydney, Australia. http://www.publish.csiro.au/ex/pdf/ASEG2018abT7_1H

Alvarez Tunon, O., Brodskiy, Y. & Kayacan, E. (2023). Loss it right: Euclidean and riemannian metrics in learning-based visual odometry. In ISR Europe 2023: 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart (pp. 107-111). VDE Verlag GmbH. https://ieeexplore.ieee.org/abstract/document/10363060

Klausen, K. C., Pagels, K. Ø., Bjerre, J. (Ed.) & Pedersen, C. F. (Ed.) (2019). LoRa and LoRaWAN Case Studies. European Regional Development Fund and Central Denmark Region.

Tu, G. J. & Karstoft, H. (2015). Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction. Applied Soft Computing, 26, 193-201. https://doi.org/10.1016/j.asoc.2014.09.044

Christiansen, M. P., Jensen, K., Ellekilde, L.-P. & Jørgensen, R. N. (2011). Localization in orchards using Extended Kalman Filter for sensor-fusion - A FroboMind component.. Abstract from NJF seminar 441 Automation and System Technology in Plant Production, Herning, Denmark. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

Jørgensen, R. & Rasmussen, P. (2002). Line Imaging Spectrometer Sampler (LISS) - a user manual.

Asif, M. R., Qi, C., Wang, T., Sadiq Fareed, M. & Ali Reza, S. (2019). License Plate Detection for Multi-national Vehicles: An Illumination Invariant Approach in Multi-lane Environment. Computers & Electrical Engineering, 78, 132-147. https://doi.org/10.1016/j.compeleceng.2019.07.012

Asif, M. R., Qi, C., Wang, T., Fareed, M. S. & Khan, S. (2019). License plate detection for multi-national vehicles – a generalized approach. Multimedia Tools and Applications, 78(24), 35585-35606. https://doi.org/10.1007/s11042-019-08199-4

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Levenberg Marquardt Algorithm for the Training of Type-2 Fuzzy Neuro Systems with a Novel Type-2 Fuzzy Membership Function. In Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on (pp. 88-93). IEEE. https://doi.org/10.1109/T2FUZZ.2011.5949558

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Levenberge-Marquardt Training Method for Type-2 Fuzzy Neural Networks and Its Stability Analysis. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7338101

Kusk, K., Nielsen, D. B., Thylstrup, T., Rasmussen, N. H., Jørvang, J., Pedersen, C. F. & Wagner, S. R. (2012). Lessons Learned From a Lightweight Context-Aware System for Achieving Reliable Home Blood Pressure Self-Measurements. Paper presented at NordiCHI 2012, The Nordic Conference on Human-Computer Interaction, Copenhagen, Denmark.

Pedersen, C. F. (2011). Leja ordering LSFs for accurate estimation of predictor coefficients. Proceedings of the International Conference on Spoken Language Processing.

Jørgensen, R. N. (2011). Leg med store perspektiver. Land&Liv, 2011(uge 25), 13. http://www.e-pages.dk/landogliv/5/13

Camci, E. & Kayacan, E. (2019). Learning motion primitives for planning swift maneuvers of quadrotor. Autonomous Robots, 43(7), 1733-1745. https://doi.org/10.1007/s10514-019-09831-w

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System. IEEE Transactions on Control Systems Technology, 23(1), 197-205. https://doi.org/10.1109/TCST.2014.2321514

Govdeli, Y., Bin Muzaffar, S. M., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model. In 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Article 8859023 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2019.8859023

Kayacan, E., Ahmadieh Khanesar, M., Rubio-Hervas, J. & Reyhanoglu, M. (2017). Learning control of fixed-wing unmanned aerial vehicles using fuzzy neural networks. International Journal of Aerospace Engineering, 2017, Article 5402809. https://doi.org/doi.org/10.1155/2017/5402809

Mehndiratta, M., Kayacan, E., Patel, S., Kayacan, E. & Chowdhary, G. (2019). Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots. In S. V. Rakovic & W. Levine (Eds.), Handbook of Model Predictive Control (1 ed., pp. 581-605). Birkhäuser Verlag. https://doi.org/10.1007/978-3-319-77489-3_24

Oleksiienko, I. & Iosifidis, A. (2023). Layer Ensembles. In D. Comminiello & M. Scarpiniti (Eds.), 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) IEEE. https://doi.org/10.1109/MLSP55844.2023.10286005

Beevi, F. H. A., Pedersen, C. F., Wagner, S. R. & Hallerstede, S. (2014). Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration. In C. Ramos, P. Novais, C. Ehrwein Nihan & J. M. Corchado Rodriguez (Eds.), Ambient Intelligence - Software and Applications: 5th International Symposium on Ambient Intelligence (Vol. 291, pp. 201-208). Springer. https://doi.org/10.1007/978-3-319-07596-9_22

Larsen, J. J. (2000). Laser induced alignment of neutral molecules. Institut for Fysik og Astronomi, Aarhus Universitet.

Rathish, H., Picón, G. C. & Schulz, H.-J. (2024). LaNe Plot: A Visual Fingerprinting Technique for Sequential Data. In K. Kucher, A. Diehl & C. Gillmann (Eds.), Poster Proceedings of the 26th Eurographics Conference on Visualization The Eurographics Association. https://doi.org/10.2312/evp.20241087

Pedersen, C. F., Trier Lund, M., Vardinghus Nielsen, C., Fromberg, J., Sloth, S., Bay Velling, M., Staach, L. & Lorenzen, T. (2000). Læring med IT: Novo Nordisk Projektet. Pictures, Video and sound recordings (digital), Novo Nordisk and The Danish Ministry of Education.

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Revised 10.08.2023

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