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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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)

Ärje, J., Kärkkäinen, S., Meissner, K., Iosifidis, A., Ince, T., Gabbouj, M. & Kiranyaz, S. (2016). The effect of automated taxa identification errors on biological indices. Expert Systems with Applications, 72, 108-120. https://doi.org/10.1016/j.eswa.2016.12.015

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

Sommer, W. L. & Iosifidis, A. (2020). Text-To-Image Synthesis Method Evaluation Based on Visual Patterns. In 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (pp. 4097-4101). Article 9053034 IEEE. https://doi.org/10.1109/ICASSP40776.2020.9053034

Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2020). Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognition Letters, 136, 183-189. https://doi.org/10.1016/j.patrec.2020.06.006

Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2020). Temporal Bag-of-Features Learning for Predicting Mid Price Movements using High Frequency Limit Order Book Data. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(6), 774-785. Advance online publication. https://doi.org/10.1109/TETCI.2018.2872598

Heidari, N. & Iosifidis, A. (2021). Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. In Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition (pp. 7907-7914). Article 9412091 IEEE. https://doi.org/10.1109/ICPR48806.2021.9412091

Tran, D. T., Iosifidis, A., Kanniainen, J. & Gabbouj, M. (2019). Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Transactions on Neural Networks and Learning Systems, 30(5), 1407 - 1418 . https://doi.org/10.1109/TNNLS.2018.2869225

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

Nyholm Jørgensen, R., Laursen, M. S. & Therkildsen, O. R., (2018). Teknologier til understøttelse af vildtvenlig høst med henblik på at reducere høstdrab samt skader på fugle og pattedyr, No. Journal 2017-760-000470, 9 p., Mar 07, 2018.

Nyholm Jørgensen, R., Laursen, M. S. & Therkildsen, O. R., (2018). Tekniske metoder til at detektere fugle og reder og reducere risiko for at de dræbes eller skades ved høst, No. 2018-760-000730, 3 p., May 14, 2018.

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

Thanh Nguyen, T., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2013). Task and Motion Planning for Apple-Harvesting Robot. In IFAC Proceedings Volumes (18 ed., Vol. 46, pp. 247-252). Elsevier. https://doi.org/10.3182/20130828-2-SF-3019.00063

Bækkegaard, S., Blixenkrone-Møller, J., Larsen, J. J. & Jochumsen, L. (2018). Target Classiﬁcation Using Kinematic Data and a Recurrent Neural Network. In H. Rohling (Ed.), 2018 19th International Radar Symposium, IRS 2018: Proceedings (Vol. 2018). Article 8448118 IEEE. https://doi.org/10.23919/IRS.2018.8448118

Kryger, P. & Bjerge, K. (2019). Tælling af varroamider. In Varroatolerance i Danmark : de første skridt februar 2019 (pp. 28-31). Danmarks Biavlerforening.

Green, O. & Jørgensen, R. (2007). System for implement draft reduction: Patent anmeldt 6. februar 2007. (Patent No. DK2008/050026).

Jørgensen, R. N. & Green, O. (2008). System for implement draft reduction. (Patent No. WO2008095503). http://wo.espacenet.com/publicationDetails/biblio?CC=WO&NR=2008095503A1&KC=A1&DB=wo.espacenet.com&locale=en_EP

Siboska, D., Karstoft, H. & Pedersen, H. (2014). Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes. In Biosignals 2014 - 7th International Conference on Bio-inspired Systems and Signal Processing (pp. 55-60). SCITEPRESS Digital Library. https://doi.org/10.5220/0004800400550060

Hein, A., Larsen, J. J. & D. Parsekian, A. (2016). Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements. Geophysical Journal International, 208(2), 724-736. https://doi.org/10.1093/gji/ggw433

Iosifidis, A. (2010, Mar). Surveillance of moving target using a mechatronic system with active camera.

Larsen, J. J. & Behroozmand, A. A. (2015). Surface-NMR in High Noise Areas. Poster session presented at The 21st European Meeting of Environmental and Engineering Geophysics, Turin, Italy.

Larsen, J. J., Pedersen, S. S., Foged, N. & Auken, E. (2021). Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates. Geoscientific Instrumentation, Methods and Data Systems, 10(1), 81-90. Article 8. https://doi.org/10.5194/gi-10-81-2021

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Supervised video summarization by content-based video segment selection. In European Conference on Visual Media Production (CVMP) University of Bristol. https://core.ac.uk/download/pdf/73983041.pdf

Iosifidis, A. & Gabbouj, M. (2016). Supervised Subspace Learning based on Deep Randomized Networks. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (pp. 2584-2588). Article 7472144 IEEE. https://doi.org/10.1109/ICASSP.2016.7472144

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation using Graph Embedding. Paper presented at 25th International Conference on Pattern Recognition, Milan, Italy. Advance online publication. https://arxiv.org/abs/2003.04063

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

Sohrab, F., Raitoharju, J., Gabbouj, M. & Iosifidis, A. (2018). Subspace Support Vector Data Description. In 2018 24th International Conference on Pattern Recognition, ICPR 2018: ICPR 2018 (Vol. 2018, pp. 722-727). Article 8545819 IEEE. https://doi.org/10.1109/ICPR.2018.8545819

Iosifidis, A. (2008, Jun). Subcritical nuclear reactor operation – Accelerator Driven System (ADS).

Schiopu, I., Gabbouj, M., Iosifidis, A., Zeng, B. & Liu, S. (2017). Subaperture Image Segmentation for Lossless Compression. In The seventh International Conference on Image Processing Theory, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_SAIC.pdf?dl=0

Jørgensen, R. (2002). Study on Line Imaging Spectroscopy as a Tool for Nitrogen Diagnostics in Precision Farming.

Sridharan, K. S., Johnsen, E. L., Beniczky, S., Johansen, L. G., Sunde, N. & Østergaard, K. (2015). Studying somatosensory function in Parkinson’s disease using Magnetoencephalography. Poster session presented at PhD day 2015, Aarhus University, Denmark.

Zullo, H., Cline, K., Parker, M., Buckmire, R., George, J., Gurski, K., Larsen, J. J., Mellor, B. & Oberweiser, J. (2011). Student Surveys: What Do They Think? In K. Cline & H. Zullo (Eds.), Teaching Mathematics with Classroom Voting, With and Without Clicker (pp. 29-34). Mathematical Association of America. http://www.maa.org/publications/ebooks/teaching-mathematics-with-classroom-voting-with-and-without-clickers

Kristensen, K. & Jørgensen, R. N. (2008). Analysis of trials with many replicates where treatments are randomised into rows and blocks. In H. B. Bleiholder & H-P. P. Piepgo (Eds.), Ikke angivet (pp. 92-98). <Forlag uden navn>.

Christensen, S., Søgaard, H. T., Kudsk, P., Nørremark, M., Lund, I., Shahrak Nadimi, E. & Jørgensen, R. N. (2009). Site Specific Weed Control Technologies. Weed Research, 49(3), 225-232. https://doi.org/10.1111/j.1365-3180.2009.00694.x

Green, O., Lindstrøm, J. & Jørgensen, R. N. (2010). Køreskader og påvirkning af udbyttet i kløvergræs. In Plantekongres 2008 (pp. 36-38). Aarhus Universitet, Det Jordbrugsvidenskabelige Fakultet.

Sørensen, C. A. G., Green, O., Nørremark, M., Jørgensen, R. N., Jensen, K., Maagaard, J. & Jensen, L. A. (2009). Feasibility study of a plant nursing robot performing weeding operations. In Proceedings of the NJF Seminar Nordic Association of Agricultural Scientists.

Jørgensen, R. N., Sørensen, C. A. G., Green, O. & Kristensen, K. (2010). Estimating impact on clover-grass yield caused by traffic intensities.

Simonsen, O. H., Karstoft, H., Kappel, S. L., Hermann, D., Rathleff, M. S. & Ahrendt, P. (2013). Stretch Sensor Device. (Patent No. PCT/DK2012/050341, WO2013041101). http://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2013041101A1&KC=A1&FT=D&ND=3&date=20130328&DB=EPODOC&locale=dk_DK

Mademlis, I., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Stereoscopic Video Description for Human Action Recognition. In Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2014 IEEE Symposium on IEEE. https://doi.org/10.1109/CIMSIVP.2014.7013263

Suvei, S-D., Bodenhagen, L., Kiforenko, L., Christiansen, P., Nyholm Jørgensen, R., Buch, A. G. & Krüger, N. (2016). Stereo and active-sensor data fusion for improved stereo block matching. In A. Campilho & F. Karray (Eds.), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings: Proceedings of 13th International Conference ICIAR in Memory of Mohamed Kamel (Vol. 9730, pp. 451-461). Springer. https://doi.org/10.1007/978-3-319-41501-7_51

Grombacher, D., Liu, L., Griffiths, M. P., Vang, M. & Larsen, J. J. (2021). Steady-State Surface NMR for Mapping of Groundwater. Geophysical Research Letters, 48(23), Article e2021GL095381. https://doi.org/10.1029/2021GL095381

Laursen, M. S., Midtiby, H. S., Kruger, N. & Jorgensen, R. N. (2014). Statistics-based segmentation using a continuous-scale naive Bayes approach. Computers and Electronics in Agriculture, 109, 271-277. https://doi.org/10.1016/j.compag.2014.10.009

Kayacan, E., Ahmadieh Khanesar, M. & Kayacan, E. (2015). Stabilization of Type-2 Fuzzy Takagi- Sugeno-Kang Identifier Using Lyapunov Functions. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-6). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2015.7337809

Laursen, M. S., Midtiby, H., Krüger, N. & Jørgensen, R. N. (2012). Spray boom for selectively spraying a herbicidal composition onto dicots. (Patent No. WO 2012/122988 A1).

Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Speed-up and Multi-view Extensions to Subclass Discriminant Analysis. Pattern Recognition, 111, Article 107660. https://doi.org/10.1016/j.patcog.2020.107660

Soltanian, M., Malik, J., Raitoharju, J., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2021). Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534232

Jørgensen, R., Christensen, L. K. & Bro, R. (2007). Spectral reflectance at sub-leaf scale including the spatial distribution discriminating NPK stress characteristics in barley using multiway partial least squares regression. International Journal of Remote Sensing, 28(5), 943-962. https://doi.org/10.1080/01431160600735657

Christensen, L. K. & Jørgensen, R. (2004). Spectral NPK stress discrimination in barley plants by use of three wavebands. In Proc. 4th int. Crop Science Congress, Brisbane, Queensland, Australia. Handbook and Abstracts, Section 2.5.3., p. 195. http://www.regional.org.au/au/cs/2004/index.htm

Hansen, O. L. P., Svenning, J. C., Olsen, K., Dupont, S., Garner, B. H., Iosifidis, A., Price, B. W. & Høye, T. T. (2020). Species-level image classification with convolutional neural network enables insect identification from habitus images. Ecology and Evolution, 10(2), 737-747. https://doi.org/10.1002/ece3.5921

Rydahl, P., Bojer, O. M., Jorgensen, R. N., Dyrmann, M., Andersen, P., Jensen, N. & Sorensen, M. (2018). Spatial variability of optimized herbicide mixtures and dosages. In Proceedings 14th International Conference on Precision Agriculture (ICPA2018) (pp. 1-14). Article 5040 International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=abstractid=5040

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Revised 10.08.2023

AU Engineering