Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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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Nazari, M., Korshøj, A. R. & ur Rehman, N. (2024). Multiscale dynamic graph signal analysis. Signal Processing, 222, Artikel 109519. https://doi.org/10.1016/j.sigpro.2024.109519
Asif, M. R., Qi, C., Hussain, S. & Sadiq Fareed, M. (2016). Multiple License Plate Detection for Chinese Vehicles in Dense Traffic Scenarios. IET Intelligent Transport Systems, 10(8). https://doi.org/10.1049/iet-its
Asif, M. R., Qi, C., Hussain, S., Sadiq Fareed, M. & Khan, S. (2017). Multinational vehicle license plate detection in complex backgrounds. Journal of Visual Communication and Image Representation, 46, 176-186. https://doi.org/10.1016/j.jvcir.2017.03.020
Hansen, M. K., Christiansen, P., Korthals, T., Jungeblut, T., Karstoft, H. & Nyholm Jørgensen, R. (2016). Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf
Korthals, T., Kragh, M. F., Christiansen, P., Karstoft, H., Nyholm Jørgensen, R. & Rückert, U. (2018). Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers in Robotics and AI, 5(MAR), Artikel 28. https://doi.org/10.3389/frobt.2018.00028
Mahapatra, D., Jimeno Yepes, A., Bozorgtabar, B., Roy, S., Ge, Z. & Reyes, M. (2025). Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. IEEE Transactions on Medical Imaging, 44(1), 31-43. https://doi.org/10.1109/TMI.2024.3429471
Bahner , K., Larsen, J. J. & Auken, E. (2015). Multichannel magnetic resonance sounding with wirelessly operated coils – A design study. Poster-session præsenteret på The 6th International Workshop on Magnetic Resonance, Aarhus , Danmark. http://hgg.au.dk/fileadmin/www.dna18.au.dk/MRS2015_program.pdf
Sejersen, J. L. F., Sarabakha, A., Plagborg Bak Sørensen, K. & Høigaard Jensen, J. (2025). Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding. 4359-4365. Afhandling præsenteret på 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, USA. https://doi.org/10.1109/ICRA55743.2025.11128006
Nyholm Jørgensen, R. & Nørremark, M. (2015). Muligheder og perspektiver i anvendelse af robotter i roer, gulerødder og kartofler. Abstract fra Plantekongres 2015, Herning, Danmark.
Gislum, R., Nyholm Jørgensen, R. & Mortensen, A. K. (2015). Mulige gevinster ved gradueret gødskning på basis af droneoptagelser. Abstract fra Plantekongres 2015, Herning, Danmark.
Deria, A., Mahapatra, D., Bozorgtabar, B., Chakraborty, M., Chakraborty, S. & Roy, S. (2025). MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization.
Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. https://doi.org/10.1109/tetci.2022.3147030
Bjerge, K., Frigaard, C. E. & Karstoft, H. (2022). Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. arxiv.org. https://arxiv.org/abs/2212.00423
Kristensen, M. V., Ahrendt, P., Lindballe, T. B., Nielsen, O. H. A., Kylling, A. P., Karstoft, H., Imparato, A., Rigau, L. H., Stadler, B., Stapelfeldt, H. & Keiding, S. R. (2012). Motion analysis of optically trapped particles and cells using 2D Fourier analysis. Optics Express, 20(3), 1953-1962. https://doi.org/10.1364/OE.20.001953
Wang, Z., Chen, L., Chen, H. & Rehman, N. U. (2023). Monthly ship price forecasting based on multivariate variational mode decomposition. Engineering Applications of Artificial Intelligence, 125, Artikel 106698. https://doi.org/10.1016/j.engappai.2023.106698
S. Nadimi, E., Jørgensen, R. N., Blanes-Vidal, V. & Christensen, S. (2012). Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks. Computers and Electronics in Agriculture, 82, 44-54. https://doi.org/10.1016/j.compag.2011.12.008
Midtiby, H., Laursen, M. S., Jørgensen, R. N. & Krüger, N. (2012). MODICOVI - Monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds.
Shahrak Nadimi, E. & Jørgensen, R. N. (2012). MoDest GrassUp. (Patentnummer DK2010/050334).
Jørgensen, R. N. & S. Nadimi, E. (2010, feb. 1). MoDest GrassUp.
Amer, A., Felsager, D., Brodskiy, Y. & Sarabakha, A. (2025). Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control. I International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings IEEE. https://doi.org/10.1109/IJCNN64981.2025.11228873
Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N. & Green, O. (2009). Modelling of material handling operations using controlled traffic. Biosystems Engineering, 103(4), 397-408. https://doi.org/10.1016/j.biosystemseng.2009.02.006
Hansen, K. V., Brix, L. C., Pedersen, C. F., Haase, J. & Larsen, O. V. (2004). Modelling of interaction between a spatula and a human brain. Medical Image Analysis, 8(1), 23-33. https://doi.org/10.1016/j.media.2003.07.001
Christensen, L. K., Bennedsen, B. S., Jørgensen, R. & Nielsen, H. (2004). Modelling nitrogen and phosphorus content at early growth stages in spring barley using spectral line scanning. Biosystems Engineering, 88(1), 19-24.
Nazari, M. (2025). Modeling Temporal Characteristics and Topological Structures in Data-driven Signal. [Ph.d.-afhandling, Aarhus Universitet].
Pedersen, C. F., Brix, L. C., Hansen, K. V., Haase, J. & Larsen, O. V. (2002). Modeling interaction between a brain spatula and a human brain. Child's Nervous System, 18(5), 257-260. https://doi.org/10.1007/s00381-002-0581-4
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. I 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 fra Magnetic Resonance in the Subsurface, Hannover, Tyskland.
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. I AgEng 2004, Leuven, Belgium. Book of Abstracts, ISBN 90-76019-258, 894-895. Paper on CD, 8 pp. (s. 8) https://www.researchgate.net/publication/280315702_Mission_planner_for_agricultural_robotics
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. I J. V. Stafford (red.), Ikke angivet (s. 441-449). Wageningen Academic Publishers.
Nyholm Jørgensen, R., Steen, K. A. & Olesen, C. R. (2015). Method for removing animals from a field. (Patentnummer 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. (Patentnummer DK178276 (B1) ).
Jørgensen, R. N., Green, O., Gislum, R. & Sørensen, C. A. G. (2010). Method for optimizing harvesting of crops. (Patentnummer 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. (Patentnummer PA 2008 00955).
S. Nadimi, E., Jørgensen, R. N. & Oudshoorn, F. W. (2011). Method and system for estimating herbage uptake of an animal. (Patentnummer PCT/DK2010/050334).
Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Billeder, Video- og Lydoptagelser (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, Artikel 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, Artikel 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. I J. V. Stafford (red.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (s. 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.
Larsen, J. J., Dalgaard, E. B., Christiansen, P. & Auken, E. (2015). Mapping of electromagnetic noise in a magnetic resonance sounding context. I ASEG Extended Abstracts - 24th International Geophysical Conference and Exhibition: Geophysics and Geology Together for Discovery (Bind 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 præsenteret på DTU and DIKU Summer School: Optimization in Image Analysis, Danmark. 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, Artikel 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, Artikel 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), Artikel 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 fra First Australian Exploration Geoscience Conference, Sydney, Australien. http://www.publish.csiro.au/ex/pdf/ASEG2018abT7_1H

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Revideret 13.11.2025
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AU Engineering