Institut for Elektro- og Computerteknologi

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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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Kumar, K., Chakraborty, S., Mahapatra, D., Bozorgtabar, B. & Roy, S. (2025). Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. I Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025 (s. 7928-7938). IEEE. https://doi.org/10.1109/WACV61041.2025.00770
Lebailly, T., Stegmüller, T., Bozorgtabar, B., Thiran, J. P. & Tuytelaars, T. (2024). CRIBO: SELF-SUPERVISED LEARNING VIA CROSS-IMAGE OBJECT-LEVEL BOOTSTRAPPING. Afhandling præsenteret på 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Østrig.
Kass, M. A., Ruganiza, A. K., Grombacher, D., Vela, I., Elias, R., Ondicho, A., Griffiths, M. P. & Pedersen, J. B. (2025). Transient Electromagnetic Surveys for Groundwater Investigations Near the Kakuma Refugee Camp, Kenya. https://doi.org/10.3997/2214-4609.202520072
Gebreyesus, G., Nawoya, S., Ssemakula, F., Karstoft, H., Bjerge, K., Kunyanga, C. N., Mwikirize, C., Akol, R., Katumba, A., Nakimbugwe, D. & Geissmann, Q. (2024). Innovative phenotyping systems to advance selective breeding in black soldier fly: status from the FlyGene project. Journal of Insects as Food and Feed, 10(Supplement 1 (2024) S1–S353), S250. Artikel Volume 10, Supplement 1 (2024). https://doi.org/10.1163/23524588-20241013
Nazari, M., Korshoej, A. R. & Rehman, N. U. (2025). Successive Jump and Mode Decomposition. (s. 2622-2626). https://doi.org/10.23919/EUSIPCO63237.2025.11226714
Carreto Picón, G., Oleksiienko, I., Morsing, L. H., Bakhtiarnia, A. & Iosifidis, A. (2024). Continual Low-Rank Scaled Dot-product Attention. https://doi.org/10.48550/arXiv.2412.03214
Gaikwad, N. B., Liu, L., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2025). A high-duty-cycle transmitter unit for steady-state surface NMR instruments. Geoscientific Instrumentation, Methods and Data Systems, 14(2), 139-151. https://doi.org/10.5194/gi-14-139-2025
Naveed, K. & Rehman, N. U. (2025). A Fully Multivariate Multifractal Detrended Fluctuation Analysis Method for Fault Diagnosis.
Lillelund, C. M., Kalra, S. & Greiner, R. (2025). A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis. PLoS One, 20(11 ), Artikel e0336476. https://doi.org/10.1371/journal.pone.0336476
Nazari, M. (2025). Modeling Temporal Characteristics and Topological Structures in Data-driven Signal. [Ph.d.-afhandling, Aarhus Universitet].
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2024). Identification of Induced Polarization affected Transient Electromagnetic Data by Deep Learning. Poster-session præsenteret på AGU Fall meeting 2024, Washington DC, USA. https://ui.adsabs.harvard.edu/abs/2024AGUFMNS23B1231A/abstract
Larsen, J. J., Asif, M. R. & Rafiei Foroushani, M. (2025). Benchmarking deep learning models for wetland mapping in Denmark using high-resolution earth observation data. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-4365
Asif, M. R., Rafiei Foroushani, M., Jørgensen, R. N., Nørremark, M. & Teimouri, N. (2025). Assessing generalization of deep learning models for crop classification under climatic variability in Denmark. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-9634
Rafiei Foroushani, M., Asif, M. R., Nørremark, M. & Grøn Sørensen, C. (2025). Temporal and Spatial Analysis of Critical Field Points Using High-Resolution Soil Water Content Estimation Employing Remote Sensing and Deep-Learning. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-18129
Wu, S., Deng, S., Wei, X., Asif, M. R., Vignoli, G. & Farquharson, C. G. (2025). Frontiers in electromagnetic geophysics - Introduction. Geophysics, 90(3), WAi-WAii. https://doi.org/10.1190/geo2025-0312-spseintro.1
Böttner, C., Jakobsen, F. W., Nielsen, T., Winsborrow, M., Polteau, S., Mazzini, A., Planke, S., Andresen, K. J., Millinge, O. J. S., Asif, M. R., Laberg, J. S., Hopper, J., Myklebust, R. & Seidenkrantz, M. S. (2025). Natural hydrocarbon seepage at the Northeast Greenland continental shelf. Communications Earth and Environment, 6(1), Artikel 879. https://doi.org/10.1038/s43247-025-02932-8
Vassis, S., Todnem, L., Straadt, D., Pedersen, C. F., Noeldeke, B., Resnick, C. M., Glerup, M., Pedersen, T. K., Pauwels, R. & Stoustrup, P. (2025). Improving early detection of temporomandibular joint involvement in juvenile idiopathic arthritis with a clinically interpretable machine learning model. Scientific Reports, 15(1), Artikel 39120. https://doi.org/10.1038/s41598-025-25988-0
Jain, S., Naveed, K., Oleksiienko, I., Iosifidis, A. & Pauwels, R. (2025). InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation. CEUR Workshop Proceedings, 4072, 91-99.
Morante, M., Frølich, K. & Rehman, N. U. (2025). Exploring functional connectivity at different timescales with multivariate mode decomposition. Frontiers in Neuroscience, 19, Artikel 1653007. https://doi.org/10.3389/fnins.2025.1653007
Wang, Z., Chen, L., Chen, H., Yang, J. & Rehman, N. U. (2025). Graph signal processing meets machine learning: Multi-scale spatial-temporal ensemble learning methodology for air quality forecasting. Expert Systems with Applications, 291, Artikel 128538. https://doi.org/10.1016/j.eswa.2025.128538
Ssemakula, F., Nawoya, S., Kunyanga, C. N., Akol, R., Nakimbugwe, D., Bett, R. C., Karstoft, H., Bjerge, K., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Emerging technologies for fast determination of nutritional quality and safety of insects for food and feed: A review. Computers and Electronics in Agriculture, 239, Artikel 111126. https://doi.org/10.1016/j.compag.2025.111126
Vang, M., Larsen, J. J., Christiansen, A. V. & Grombacher, D. (2025). Alleviating interpretational ambiguity in hydrogeology through clustering-based analysis of transient electromagnetic and surface nuclear magnetic resonance data. Hydrology and Earth System Sciences, 29(20), 5315-5329. https://doi.org/10.5194/hess-29-5315-2025
Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Artikel 093617. https://doi.org/10.1063/5.0285462
Rubak, J. A. B., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R. (2025). Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. ArXiv. https://doi.org/10.48550/arXiv.2509.06553
Gentili, M., Tanaka, T., Nichols, V. A., Jørgensen, R. N., Jørgensen, J. R. & Gislum, R. (2025). Investigating weed and companion plant ecosystem services and disservices distribution maps using machine learning: Joint approaches for sustainable weed management. I 20TH EUROPEAN WEED RESEARCH SOCIETY SYMPOSIUM: Joint Approaches for Sustainable Weed Management (s. 340-340). European Weed Research Society. https://doi.org/10.21001/20.weed.research.society.symposium.2025
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2025). Identifying Induced Polarization Effects in TEM Data by Deep Learning. I 7th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2025 (s. 1-5). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202572056
Amer, A. H. K. S. A. (2025). Autonomous Marine Robots Optimal Control and Path Planning with Data-Driven Models. [Ph.d.-afhandling, Aarhus Universitet].
Naveed, K., de Freitas, B. N. & Pauwels, R. (2025). Naada: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs.
Salavatidezfouli, S., Rakhsha, S., Sheidani, A., Stabile, G. & Rozza, G. (2025). A predictive surrogate model for heat transfer of an impinging jet on a concave surface. International Journal of Heat and Mass Transfer, 251, Artikel 127248. https://doi.org/10.1016/j.ijheatmasstransfer.2025.127248
Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Pedersen, C. F. (2012). Z-transform Zeros in Mixed Phase Deconvolution of Speech. Aalborg University, Faculty of Engineering and Science, Dept. of Electronic Systems, Niels Jernes Vej 10, 9220 Aalborg East, Denmark.
Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Larsen, J. J. (2000). Laser induced alignment of neutral molecules. Institut for Fysik og Astronomi, Aarhus Universitet.
Asif, M. R. (2025). Benchmarking Deep Learning for Wetland Mapping in Denmark Using Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11953-11962. https://doi.org/10.1109/JSTARS.2025.3563951
Safari, A., Saidi, M. H., Salavatidezfouli, S., Ma, W. & Yao, S. (2025). A comprehensive experimental and numerical study of Taylor-Couette flow on superhydrophobic surfaces. AIP Advances, 15(5), Artikel 055012. https://doi.org/10.1063/5.0249290
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
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
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning. Smart Agricultural Technology, 11, Artikel 100953. https://doi.org/10.1016/j.atech.2025.100953
Bjerge, K., Karstoft, H. & Høye, T. T. (2025). Towards edge processing of images from insect camera traps. Remote Sensing in Ecology and Conservation, 11(5), 573-589. https://doi.org/10.1002/rse2.70007
Vang, M. Ø., Grombacher, D., Larsen, J. J. & Wilson, S. (2025). Efficient mapping of complex groundwater systems associated with braided rivers using small coil surface nuclear magnetic resonance. Geophysics, 90(3), 1-12. https://doi.org/10.1190/geo2023-0765.1
Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Barzegar Gerdroodbary, M. & Salavatidezfouli, S. (2025). A predictive surrogate model of blood haemodynamics for patient-specific carotid artery stenosis. Journal of the Royal Society Interface, 22(224), Artikel 20240774. https://doi.org/10.1098/rsif.2024.0774
Barzegar Gerdroodbary, M. & Salavatidezfouli, S. (2025). A predictive surrogate model based on linear and nonlinear solution manifold reduction in cardiovascular FSI: A comparative study. Computers in Biology and Medicine, 189, Artikel 109959. https://doi.org/10.1016/j.compbiomed.2025.109959
Liang, W., Amer, A., Mehndiratta, M., Chen, Z., Yao, B. & Kayacan, E. (2025). Adaptive Robust Control Integrated With Gaussian Processes for Quadrotors: Enhanced Accuracy, Fault Tolerance and Anti-Disturbance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(5), 3235-3248. https://doi.org/10.1109/TSMC.2025.3539707
Amer, A. H. K. S. A., Alvarez Tunon, O., Ugurlu, H. I., Sejersen, J. L. F., Brodskiy, Y. & Kayacan, E. (2024). UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. I 2023 21st International Conference on Advanced Robotics (ICAR) https://ieeexplore.ieee.org/abstract/document/10406819
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
Amer, A. H. K. S. A., Mehndiratta, M., Brodskiy, Y. & Kayacan, E. (2025). Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes. IEEE Transactions on Control Systems Technology, 33(5), 1913-1920. https://doi.org/10.1109/TCST.2025.3539218
Liu, L., Domenzain Gonzalez, D., Vela, I., Maurya, P. K., Kühl, A. K., Bording, T., Ejlskov, P., Auken, E., Larsen, J. J. & Christiansen, A. V. (2025). An efficient cross-borehole direct current resistivity monitoring instrument. Geophysics, 90(2), D61-D70. https://doi.org/10.1190/geo2023-0518.1
Nazari, M., Korshj, A. R. & Rehman, N. U. (2025). Jump Plus AM-FM Mode Decomposition. IEEE Transactions on Signal Processing, 73, 1081-1093. https://doi.org/10.1109/TSP.2025.3535822
Bjerge, K., Bodesheim, P. & Karstoft, H. (2025). Deep Image Clustering with Model-Agnostic Meta-Learning. I In Proceedings of the 20th International Joint Conference on Computer Vision (Bind 2, s. 286-297). Imaging and Computer Graphics Theory and Applications - VISAPP 2025. https://doi.org/10.5220/0013114600003912

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Revideret 13.11.2025
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AU Engineering