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Department of Electrical and Computer Engineering

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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Kremer, T., Larsen, J. J. & Nguyen, F. (2018). New Processing Schemes for the Removal of Harmonic Noise from SNMR Signals in Complex Multi-Frequency Noise Environments. In 24th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201802552

Mehndiratta, M. & Kayacan, E. (2018). Online Learning-based Receding Horizon Control of Tilt-rotor Tricopter: A Cascade Implementation. In 2018 Annual American Control Conference, ACC 2018 (pp. 6378-6383). Article 8430814 IEEE. https://doi.org/10.23919/ACC.2018.8430814

Teimouri, N., Omid, M., Mollazade, K., Mousazadeh, H., Alimardani, R. & Karstoft, H. (2018). On-line separation and sorting of chicken portions using a robust vision-based intelligent modelling approach. Biosystems Engineering, 167, 8-20. https://doi.org/10.1016/j.biosystemseng.2017.12.009

Low, J. M., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). ON THE COMPARISON OF DIAMOND HONEYCOMB AND 3D- KAGOME STRUCTURES FOR 3D PRINTED UAVS. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (pp. 341-346) https://doi.org/10.25341/D49G6P

Kayacan, E., Kayacan, E., Chen, I.-M., Ramon, H. & Saeys, W. (2018). On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles. In R. John, H. Hagras & O. Castillo (Eds.), Studies in Fuzziness and Soft Computing (Vol. 362, pp. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

Grombacher, D., Liu, L., Larsen, J. J. & Auken, E. (2018). Practical considerations for small receive coils in surface NMR. Journal of Applied Geophysics, 154, 81-92. https://doi.org/10.1016/j.jappgeo.2018.04.005

Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018). Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds. In Proceedings of the 14th International Conference on Precision Engineering Article 5079 International Society of Precision Agriculture. https://ispag.org/proceedings/?action=abstract&id=5079

Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018). Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds. Abstract from International Conference on Precision Agriculture, Montréal, Quebec, Canada. https://ispag.org/proceedings/?action=abstract&id=5079&search=authors

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. Article 8298533. https://doi.org/10.1109/TSG.2018.2807845

Madsen, S. L., Karstoft, H. & Nyholm Jørgensen, R. (2018). Producing Artificial Data Samples Using Generative Adversarial Networks.. Poster session presented at 2018 summer school on Optimization in Image Analysis, Sønderborg, Denmark. http://optimization-image-analysis.compute.dtu.dk/posters/simon_madsen.pdf

Mehndiratta, M. & Kayacan, E. (2018). Reconfigurable Fault-tolerant NMPC for Y6 Coaxial Tricopter with Complete Loss of One Rotor. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018: CCTA (pp. 774-780). Article 8511444 IEEE. https://doi.org/10.1109/CCTA.2018.8511444

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Removal of Co-Frequency Powerline Harmonics From Multichannel Surface NMR Data. IEEE Geoscience and Remote Sensing Letters, 15(1), 53-57. https://doi.org/10.1109/LGRS.2017.2772790

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

Mortensen, A. K., Bender, A., Whelan, B., Barbour, M. M., Sukkarieh, S., Karstoft, H. & Gislum, R. (2018). Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. Computers and Electronics in Agriculture, 154, 373-381. https://doi.org/10.1016/j.compag.2018.09.010

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2018). Semi-Supervised Subclass Support Vector Data Description for Image and Video Classification. Neurocomputing, 278, 51-61. https://doi.org/10.1016/j.neucom.2017.08.028

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

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

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

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.

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.

Kayacan, E., Sarabakha, A., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2018). Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty. Engineering Applications of Artificial Intelligence, 70, 170-183. https://doi.org/10.1016/j.engappai.2018.02.004

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2018). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. IEEE Transactions on Industrial Electronics, 65(6), 5069-5077. https://doi.org/10.1109/TIE.2017.2767546

Dyrmann, M., Skovsen, S., Sørensen, R. A., Nielsen, P. R. & Nyholm Jørgensen, R. (2018). Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. Abstract from International Conference on Precision Agriculture, Montréal, Quebec, Canada.

Dyrmann, M., Skovsen, S., Laursen, M. S. & Nyholm Jørgensen, R. (2018). Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. In Proceedings of the 14th International Conference on Precision Agriculture International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=download&item=5081

Gislum, R. & Nyholm Jørgensen, R., (2018). Valg af biomasseindeks i pilotprojekt om efterafgrøder/biomasse, No. 2018-760-000909, 4 p., Nov 09, 2018.

Therkildsen, O. R. & Nyholm Jørgensen, R. (2018). Vildtvenlige Og Simple Høststrategier kan Reducere Høstdrab. Danske Maelkeproducenter, (2), 38-39.

Xu, L., Iosifidis, A. & Gabbouj, M. (2018). Weighted Linear Discriminant Analysis Based on Class Saliency Information. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings: Proceedings (pp. 2306-2310). Article 8451614 IEEE. https://doi.org/10.1109/ICIP.2018.8451614

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2017). A Multichannel, Low Noise Surface NMR Receiver System with Wireless Connections to Signal and Reference Coils. In 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702012

Camci, E., Raju Kripalani, D., Ma, L., Kayacan, E. & Ahmadieh Khanesar, M. (2017). An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm. Swarm and Evolutionary Computation, 41, 1-8. https://doi.org/10.1016/j.swevo.2017.10.003

Miranda, J., Cabral, J., Banerjee, S., Grossmann, D., Pedersen, C. F. & Wagner, S. R. (2017). Analysis of OPC Unified Architecture for Healthcare Applications. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017: EFTA 2017 (pp. 1-4). IEEE. https://doi.org/10.1109/ETFA.2017.8247771

Yan, R.-J., Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017). A novel building post-construction quality assessment robot: Design and prototyping. In IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 6020-6026). Article 8206499 IEEE. https://doi.org/10.1109/IROS.2017.8206499

Ahmadieh Khanesar, M. & Kayacan, E. (2017). A Novel Complexity Reduced Levenberge-Marquardt Optimization Algorithm: Application to the Training of Interval Type-2 Fuzzy Systems. In FUZZ-IEEE 2017 (pp. 1-6). IEEE.

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

Jensen, T., Karstoft, H., Green, O. & Munkholm, L. J. (2017). Assessing the effect of the seedbed cultivator leveling tines on soil surface properties using laser range scanners. Soil & Tillage Research, 167(April), 54-60. https://doi.org/10.1016/j.still.2016.11.006

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2017). Assessing the Influence of Loudspeaker Driver Nonlinear Distortion on Personal Sound Zones. In 142nd Audio Engineering Society International Convention 2017 (Vol. 2, pp. 1019-1026). Article 9807 Audio Engineering Society . http://www.aes.org/e-lib/browse.cfm?elib=18681

Nyholm Jørgensen, R. & Dyrmann, M. (2017). Automatisk genkendelse af ukrudt. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=xw9p3S-GZG8&t=794s

Nyholm Jørgensen, R. & Skovsen, S. (2017). Automatisk kløvergræsestimering. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Kx_8ku90XO4&t=955s

Ntakaris, A., Magris, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. arXiv. https://arxiv.org/pdf/1705.03233.pdf

Iosifidis, A., Tefas, A., Pitas, I. & Gabbouj, M. (2017). Big Media Data Analysis. Signal Processing: Image Communication, 59, 105-108. https://doi.org/10.1016/j.image.2017.10.004

Iosifidis, A. & Gabbouj, M. (2017). Class-Specific Kernel Discriminant Analysis based on Cholesky Decomposition. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings (pp. 1141-1146). Article 7965980 IEEE. https://doi.org/10.1109/IJCNN.2017.7965980

Iosifidis, A. & Gabbouj, M. (2017). Class-Specific Kernel Discriminant Analysis revisited: further analysis and extensions. IEEE Transactions on Cybernetics, 47(12), 4485-4496. Article 7590015. https://doi.org/10.1109/TCYB.2016.2612479

Waris, M. A., Iosifidis, A. & Gabbouj, M. (2017). CNN-based Edge Filtering for Object Proposals. Neurocomputing, 266, 631-640. https://doi.org/10.1016/j.neucom.2017.05.071

Karim, S., Zhang, Y., Asif, M. R. & Ali, S. (2017). Comparative analysis of feature extraction methods in satellite imagery. Journal of Applied Remote Sensing, 11(4), Article 042618. https://doi.org/10.1117/1.JRS.11.042618

Raitoharju, J., Riabchenko, E., Meissner, K., Ahmad, I., Iosifidis, A., Gabbouj, M. & Kiranyaz, S. (2017). Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. In Proceedings - 2nd Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2016 - In Conjunction with International Conference on Pattern Recognition, ICPR 2016 (pp. 43-48). Article 7813092 IEEE. https://doi.org/10.1109/CVAUI.2016.20

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2017). Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors, 17(12), Article 2703. https://doi.org/10.3390/s17122703

Laursen, M. S., Nyholm Jørgensen, R., Skov Midtiby, H., Mortensen, A. K. & Santhome, S. (2017). Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings. International Journal of Agricultural and Biosystems Engineering, 11(4), 1285. https://www.waset.org/abstracts/62424

Sridharan, K. S., Højlund, A., Johnsen, E. L., Sunde, N., Johansen, L. G., Beniczky, S. & Østergaard, K. (2017). Differentiated effects of deep brain stimulation and medication on somatosensory processing in Parkinson's disease. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 128(7), 1327-1336. https://doi.org/10.1016/j.clinph.2017.04.014

Sarabakha, A., Fu, C. & Kayacan, E. (2017). Double-Input Interval Type-2 Fuzzy Logic Controllers: Analysis and Design. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-6). Article 8015485 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015485

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017, Jun 1). Droner og losurin. Danmarks Jægerforbund. http://www.jaegerforbundet.dk/om-dj/nyhedsarkiv/2017/droner-og-losurin/

Kayacan, E., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2017). Elliptic Membership Functions and the Modeling Uncertainty in Type-2 Fuzzy Logic Systems As Applied to Time Series Prediction. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-7). Article 8015457 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015457

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