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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Raza, M., Naveed, K., Akram, A., Salem, N., Afaq, A., Madni, H. A., Khan, M. A. U. & Mui-Zzud-din (2021). DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images. PLoS One, 16(12), Artikel e0261698. https://doi.org/10.1371/journal.pone.0261698

Ravelo, B., Cabral, J., Wagner, S. R., Pedersen, C. F. & Mathiesen, M. (2014). EMI and BER/PER Analysis of Wi-Fi and Bluetooth Communication for CRIP Platform. Afhandling præsenteret på 17e Colloque International et Exposition sur la Compatibilité Electromagnetique, Clermont-Ferrand, Frankrig.

Ravelo, B., Cabral, J., Wagner, S. R., Pedersen, C. F. & Mathiesen, M. (2014). EMI and BER/PER Analysis of Wi-Fi and Bluetooth Communication for CRIP Platform. Poster-session præsenteret på 17e Colloque International et Exposition sur la Compatibilité Electromagnetique, Clermont-Ferrand, Frankrig.

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Lalléchère, S. (2015). RF and EMC Investigation on CRIP System for the E-Healthcare CareStore Platform. I 9th European Conference on Antennas and Propagation (EuCAP) 2015 IEEE. http://ieeexplore.ieee.org.ez.statsbiblioteket.dk:2048/xpl/articleDetails.jsp?arnumber=7228157&newsearch=true&queryText=ravelo%20emc%20rf

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Jastrzebski , A. (2015). Analysis of a Healthcare Platform RF Emission in Indoor Environment. I Proceedings of the IEEE International Symposium on Electromagnetic Compatibility and EMC Europe: EMC 2015 (s. 1495-1500). IEEE.

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M. & Mathiesen, M. (2016, mar. 24). Radiated EMC Characterization of Common Recognition and Identification Platform for E-Healthcare.

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

Rasmussen, M. D., Nyholm Jørgensen, R., Steen, K. A., Asferg, T. & Therkildsen, O. R., (2014). Bidrag til besvarelse af FLF spørgsmål 356 vedrørende vildtvenlige høstmetoder og udvikling i vildtbestand, Nr. 1233137, 4 s., maj 23, 2014.

Rasmussen, S., Nyboe, N. S., Mai, S. S. & Larsen, J. J. (2015). Deconvolution of AEM Data via Analytically Described System Responses. I First European Airborne Electromagnetics Conference (Bind 2015). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201413882

Rasmussen, S., Skovgaard Nyboe, N. & Larsen, J. J. (2016). Extraction and Use of Noise Models from Production-Mode Transient Electromagnetic Data. Abstract fra AGU Fall Meeting 2016, San Francisco, California, USA. https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/168217

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2017). Noise properties of Fourier deconvolution for time-domain electromagnetic soundings. Geophysics, 82(5), E257-E266. https://doi.org/10.1190/geo2016-0588.1

Rasmussen, S., Nyboe, S. N., Mai, S. S. & Larsen, J. J. (2017). A Robust Framework for Cancellation of MSK Interference in TEM Data. I 2nd European Airborne Electromagnetics Conference 2017, Held at Near Surface Geoscience Conference and Exhibition 2017 (s. 121-125). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702172

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2018). Extraction and use of noise models from transient electromagnetic data. Geophysics, 83(1), E37-E46. https://doi.org/10.1190/geo2017-0299.1

Rasmussen, S., Nyboe, N. S., Mai, S. & Larsen, J. J. (2018). Robust cancellation of minimum shift keying-encoded radio interference in data from the transient electromagnetic method. Geophysics, 83(2), E87-E94. https://doi.org/10.1190/GEO2017-0611.1

Rasmussen, S., Nyboe, N. S., Mai, S. & Larsen, J. J. (2018). Cancellation of minimum shift keying encoded radio signals from airborne TEM data. I 7th International Workshop on Airborne Electromagnetics: AEM2018 Artikel 21 https://rushfiles.one/client/publiclink.aspx?id=Gy1X0iDziy#

Rafiei Foroushani, M., Khooban, M. H., Afshari-Igder, M. & Boudjadar, J. (2020). A Novel Approach to Overcome the Limitations of Reliability Centered Maintenance Implementation on the Smart Grid Distance Protection System. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(2), 320-324. Artikel 8668570. https://doi.org/10.1109/TCSII.2019.2905639

Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Energy Management of a Zero-Emission Ferry Boat with a Fuel Cell-Based Hybrid Energy System: Feasibility Assessment. IEEE Transactions on Industrial Electronics, 68(2), 1739-1748. https://doi.org/10.1109/TIE.2020.2992005

Rafiei Foroushani, M., Niknam, T., Aghaei, J., Shafie-khah, M. & P.S.Catalão, J. (2018). Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine. IEEE Transactions on Smart Grid, 9(6), 6961 - 6971. Artikel 8298533. https://doi.org/10.1109/TSG.2018.2807845

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Artikel 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

Rafiei Foroushani, M., Raitoharju, J. & Iosifidis, A. (2023). Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access, 11, 2445 - 2477. https://doi.org/10.1109/ACCESS.2023.3234187

Rafiei Foroushani, M. & Iosifidis, A. (2023). Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. I 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191068

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. I H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (red.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

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

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

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

Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

Rafiei, M., Asif, M. R., Nørremark, M. & Sørensen, C. A. G. (2026). Towards high-spatial-resolution, multi-depth soil water content estimation via SAR data and multimodal deep learning. Precision Agriculture, 27(2), Artikel 33. https://doi.org/10.1007/s11119-026-10322-z

Rad, M. S., Yu, T., Bozorgtabar, B. & Thiran, J.-P. (2021). Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images.

Rad, M. S., Yu, T., Musat, C., Ekenel, H. K., Bozorgtabar, B. & Thiran, J.-P. (2020). Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.

Rad, M. S., Bozorgtabar, B., Marti, U.-V., Basler, M., Ekenel, H. K. & Thiran, J.-P. (2019). Srobb: Targeted Perceptual Loss for Single Image Super-Resolution.

Rad, M. S., Bozorgtabar, B., Musat, C., Marti, U.-V., Basler, M., Ekenel, H. K. & Thiran, J.-P. (2019). Benefiting from Multitask Learning to Improve Single Image Super-Resolution.

Qiao, Z., Pham, X. H., Ramasamy, S., Jiang, X., Kayacan, E. & Sarabakha, A. (2024). Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. I 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings IEEE. https://doi.org/10.1109/ijcnn60899.2024.10649903

Pedersen, C. F., Jensen, K. L., Larsen, S. & Larsen, L. B. (2005). Report on field trial results.

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

Pedersen, C. F. & Brix, L. C. (2001). Collision detection and response: Generation and update methods for finite element meshes of deformable objects.

Pedersen, J. S., Ahola, T., Alutoin, M., Karamolegkos, P., Larsen, L. B., Eg Larsen, J., G. Nikolakopoulos, I., Z. Patrikakis, C., Pedersen, C. F., Roswall, R., Schultz, N., Tolstrup Sørensen, L. & Tan, S.-E. (2007). Usability of PN services (Low-Fi prototyping): D1.4.1. Information Society Technologies, IST-FP6-IP-027396, My Personal Adaptive Global NET (MAGNET) Beyond, EU.

Pedersen, C. F., Andersen, O. & Dalsgaard, P. (2010). Separation of Mixed Phase Signals by Zeros of the Z-transform: A Reformulation of Complex Cepstrum Based Separation by Causality. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2010(35), 5050-5053. https://doi.org/10.1109/ICASSP.2010.5495060

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. Billeder, Video- og Lydoptagelser (digital), Novo Nordisk and The Danish Ministry of Education.

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

Pedersen, C. F., Andersen, O. & Dalsgaard, P. (2011). Adaptive Estimation of Zeros of Time-Varying Z-Transforms. Proceedings of the International Conference on Spoken Language Processing.

Pedersen, C. F., Andersen, O. & Dalsgaard, P. (2009). ZZT-domain Immiscibility of the Opening and Closing Phases of the LF GFM under Frame Length Variations. Proceedings of the International Conference on Spoken Language Processing, 1099-1102.

Pedersen, C. F., Jensen, J. J., Dalsgaard, P., Larsen, L. B., Saugstrup, D. & Kaldanis, V. (2004). Report on set-up of field-trial. (1. udgave udg.).

Pedersen, C. F., Andersen, O. & Dalsgaard, P. (2009). ZZT-domain Immiscibility of the Opening and Closing Phases of the LF GFM under Frame Length Variations. Poster-session præsenteret på International Conference on Spoken Language Processing, Interspeech, Brighton, Storbritannien.

Pedersen, C. F., Dalsgaard, P., Larsen, L. B., Jensen, J. J., Hejlesen, O. K., Sørensen, L. T., Schultz, N. & Christensen, D. S. (2004). Analysis and design of a PN based health care service for diabetics. Afhandling præsenteret på My Personal Adaptive Global NET: Visions and beyond, Shanghai, Kina.

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

Pedersen, C. F., Dalsgaard, P. & Andersen, O. (2008). Conference web page for ISCA ITRW, Speech Analysis and Processing for Knowledge Discovery. Interaktiv produktion, ISCA/AAU.

Pedersen, C. F. (2013). Teaching Portfolio. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Pedersen, C. F. & Bäckström, T. (2014). Sparse Time-Frequency Representation of Speech by the Vandermonde Transform. I Proceedings of the Annual Conference of the International Speech Communication Association: INTERSPEECH 2014 (s. 2248-2252)

Pedersen, C. F. (2016). Total Variation Optimization for Compressed Sensing Image Reconstruction. Faculty of Engineering and Science, Dept. of Computer Science, Aalborg 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.

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Revideret 13.11.2025

AU Engineering