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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Kragh, M. F., Christiansen, P., Laursen, M. S., Larsen, M., Steen, K. A., Green, O., Karstoft, H. & Jørgensen, R. N. (2017). FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors, 17(11), Article 2579. https://doi.org/10.3390/s17112579

Laursen, M. S. (Producer), Nyholm Jørgensen, R. (Producer), Gislum, R. (Producer) & Christiansen, M. P. (Producer). (2017). First attempt at crop mapping with Velodyne VLP16 and Matrice 100. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=rzTScFbkdG0

Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. In Proceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017 (pp. 7-12). Article 8010701 IEEE. https://doi.org/10.1109/CBI.2017.23

Nyholm Jørgensen, R. (Producer), Sørensen, R. A. (Producer), Laursen, M. S. (Producer), Rasmussen, J. (Producer) & Nielsen, J. (Producer). (2017). FutureCropping Generering af tidselkort med Pix4D, DeepLearning og QGIS 18AUG2017. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=3X8h4U4o2-o

Kayacan, E. & Ahmadieh Khanesar, M. (2017). Fuzzy Neural Networks for Real Time Control Applications, Concepts, Modeling and Algorithms for Fast Learning. Butterworth-Heinemann. https://books.google.dk/books?id=8X4VBgAAQBAJ&printsec=frontcover&hl=da#v=onepage&q&f=false

Kiranyaz, S., Ince, T., Iosifidis, A. & Gabbouj, M. (2017). Generalized Model of Biological Neural Networks: Progressive Operational Perceptrons. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings (pp. 2477-2485). Article 7966157 IEEE. https://doi.org/10.1109/IJCNN.2017.7966157

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017). Høstdrab af rådyr: - analyse af høstdrabsproblemets omfang i Danmark samt test af dronebåret losurin som afværgemetode. Danmarks Jægerforbund. http://udgivelser.jaegerforbundet.dk/2017/foldere-og-tryksager/hoestdrab-af-raadyr-analyse-af-hoestdrabsproblemets-omfang-i-danmark-samt-test-af-dronebaaret-losurin-som-afvaergemiddel/?page=2

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R., Halberg, A. & Toftegaard, T. S. (2017). Identification of High-Variation Fields based on Open Satellite Imagery. Advances in Animal Biosciences, 8(2), 388-393. https://doi.org/10.1017/S2040470017000693

Thanh Tran, D., Iosifidis, A. & Gabbouj, M. (2017). Improving Efficiency in Convolutional Neural Network with Multilinear Filters. arXiv.org. https://arxiv.org/pdf/1709.09902

Zhang, C., Rossi, C. & Kayacan, E. (2017). Interval Type-2 Fuzzy-Neuro Control of Nonlinear Systems With Proved Overall System Stability. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-6). Article 8015495 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015495

Kayacan, E., Ahmadieh Khanesar, M., Rubio-Hervas, J. & Reyhanoglu, M. (2017). Learning control of fixed-wing unmanned aerial vehicles using fuzzy neural networks. International Journal of Aerospace Engineering, 2017, Article 5402809. https://doi.org/doi.org/10.1155/2017/5402809

Nyholm Jørgensen, R. (Producer). (2017). Metatilgangen til Deep Learning. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s

Eren, U., Prach, A., Bahadir Kocer, B., Rakovic, S. V., Kayacan, E. & Acikmese, B. (2017). Model Predictive Control in Aerospace Systems: Current State and Opportunities. AIAA Journal of Guidance, Control and Dynamics, 40(7), 1541-1566. https://doi.org/10.2514/1.G002507

Thanh Tran, D., Gabbouj, M. & Iosifidis, A. (2017). Multilinear Class-Specific Discriminant Analysis. Pattern Recognition Letters, 100, 131-136. https://doi.org/10.1016/j.patrec.2017.10.027

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

Cao, G., Iosifidis, A. & Gabbouj, M. (2017). Multi-view Nonparametric Discriminant Analysis for Image Retrieval and Recognition. IEEE Signal Processing Letters, 24(10), 1537-1541. Article 8023967. https://doi.org/10.1109/LSP.2017.2748392

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2017). Noise properties of Fourier deconvolution for time-domain electromagnetic soundings. Geophysics, 82(5), 257-266. https://doi.org/10.1190/geo2016-0588.1

Sarabakha, A., Imanberdiyev, N., Kayacan, E., Ahmadieh Khanesar, M. & Hagras, H. (2017). Novel Levenberg-Marquardt Based Learning Algorithm for Unmanned Aerial Vehicles. Information Sciences, 417, 361-380. https://doi.org/10.1016/j.ins.2017.07.020

Samiee, K., Iosifidis, A. & Gabbouj, M. (2017). On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks. Expert Systems with Applications, 83, 177-186. https://doi.org/10.1016/j.eswa.2017.04.025

Alvarez Tunon, O., Jardón, A. & Balaguer, C. (2017). Plataformas robóticas para la inspección de los pozos de las minas de carbón en las secciones inundadas y no inundadas. In Jornadas Nacionales de Robótica Spansk Robotics Conference

Christiansen, P., Kragh, M. F., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2017). Platform for evaluating sensors and human detection in autonomous mowing operations. Precision Agriculture, 18(3), 1-16. https://doi.org/10.1007/s11119-017-9497-6

Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017). Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. Journal of Imaging, 3(4), Article 59. https://doi.org/10.3390/jimaging3040059

Aytekin, C., Iosifidis, A. & Gabbouj, M. (2017). Probabilistic Saliency Estimation. Pattern Recognition, 74, 359-372. https://doi.org/10.1016/j.patcog.2017.09.023

Muravev, A., Can Ozan, E., Iosifidis, A. & Gabbouj, M. (2017). Pyramid Encoding for Fast Additive Quantization. Proceedings of the European Signal Processing Conference, 2017, 2575-2579. https://doi.org/10.23919/EUSIPCO.2017.8081662

Kayacan, E. & Mehndiratta, M. (2017). Receding Horizon Control of 3 DOF Helicopter Using Online Estimation of Aerodynamic Parameters. Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, 1-12.

Larsen, J. J., Liu, L., Grombacher, D. J. & Auken, E. (2017). Removal of Co-frequency Powerline Harmonics from Multichannel Surface NMR Data. In 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Vol. 15, pp. 53-57). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Larsen, J. J., Liu, L., Grombacher, D. & Auken, E. (2017). Removal of Co-Frequency powerline harmonics from multichannel Surface NMR Data. In 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Removal of Harmonic Noise from Surface Nuclear Magnetic Resonance Measurements in the Frequency Domain. Poster session presented at SAGEEP 2017, Denver, United States.

Nyholm Jørgensen, R. (Producer), Nielsen, E. D. (Producer) & Madsen, S. L. (Producer). (2017). RoboWeedMaPS - Demo DroneApp beta med DJI Phantom 4. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=PQ6sSIk7-0s

Nyholm Jørgensen, R. (Producer) & Madsen, S. L. (Producer). (2017). RoboWeedMaPS - First Automated Weed Mapping test flight with DJI Phantom 4 Pro. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=-dHMbt9rwak

Nyholm Jørgensen, R. (Producer) & Laursen, M. S. (Producer). (2017). RoboWeedMaPS - First Grass-weed field inspection in Winter Wheat using DJI Goggles. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Yma1Psi9OEw

Madsen, S. L., Laursen, M. S., Poulsen, R. N. & Nyholm Jørgensen, R. (2017). RoboWeedSupport: Semi-automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-millimeter Scale Acquisition of Weed Images. In 19th International Conference on Precision Agriculture: ICPA 2017

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport - Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. International Journal of Agricultural and Biosystems Engineering, 11(4), 311-315. http://waset.org/publications/10007027/roboweedsupport-sub-millimeter-weed-image-acquisition-in-cereal-crops-with-speeds-up-till-50-km-h

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport: Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. World Academy of Science, Engineering and Technology. Proceedings, 4(4), 1391. https://www.waset.org/abstracts?q=Mads%20Dyrmann

Thanh Tran, D., Waris, M. A., Gabbouj, M. & Iosifidis, A. (2017). Sample-based regularization for Support Vector Machine Classification. In The 7th International Conference on Image Processing, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_DropOutSVM.pdf?dl=0

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2017). Similarity-based Non-Singleton Fuzzy Logic Control for Improved Uncertainty Handling in Quadrotor UAVs. In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-6). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015440

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

Sørensen, R. A. (Producer), Rasmussen, J. (Producer), Nielsen, J. (Producer) & Nyholm Jørgensen, R. (Producer). (2017). Thistle detection using convolutional neural networks: EFITA 2017 Presentation. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=_G_xLchBOl4

Sørensen, R. A., Rasmussen, J., Nielsen, J. & Nyholm Jørgensen, R. (2017). Thistle detection using convolutional neural networks. In 2017 EFITA WCCA Congress - European conference dedicated to the future use of ICT: Conference Proceedings (pp. 161-162). Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture. http://www.efita2017.org/wp-content/uploads/2017/09/EFITA_WCCA_2017_proceedings.pdf#page=187

Passalis, N., Tsantekidis, A., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Time-series Classification using Neural Bag-of-Features. Proceedings of the European Signal Processing Conference, 2017, 311-315. https://doi.org/10.23919/EUSIPCO.2017.8081217

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Engineering Applications of Artificial Intelligence, 64, 128-139. https://doi.org/10.1016/j.engappai.2017.05.012

Duan, R. (Producer), Fu, C. (Producer) & Kayacan, E. (Producer). (2017). Tracking-Recommendation-Detection. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=L3XjGvsy4BA

Liu, L., Yan, R-J., Maruvanchery, V., Kayacan, E., Chen, I-M. & Kong Tiong, L. (2017). Transfer learning on convolutional activation feature as applied to a building quality assessment robot. International Journal of Advanced Robotic Systems, 14(3), 1-12. https://doi.org/10.1177/1729881417712620

Lausdahl, K. G., Bjerge, K., Bokhove, T., Groen, F. & Larsen, P. G. (2017). Transitioning from Crescendo to INTO-CPS. In J. S. Fitzgerald, P. W. V. Tran-Jørgensen & T. Oda (Eds.), The 15th Overture Workshop: New Capabilities and Applications for Model-based Systems Engineering: Proceedings (pp. 16-30). Newcastle University.

Christiansen, M. P., Nyholm Jørgensen, R., Laursen, M. S. & Gislum, R. (2017). UAV LIDAR biomass estimation/Using Sentinel-1 to estimate yield potential. Poster session presented at DIGIT, Aarhus, Denmark.

Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Using Deep Learning to Detect Price Change Indications in Financial Markets. Proceedings of the European Signal Processing Conference, 2017, 2580-2584. https://doi.org/10.23919/EUSIPCO.2017.8081663

Fu, C., Sarabakha, A. & Kayacan, E. (2016). A Comparative Study on the Control of Quadcopter UAVs by using Singleton and Non-Singleton Fuzzy Logic Controllers. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 1023-1030). Article 7737800 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737800

Hussain, S., Qi, C., Asif, M. R. & Sohrab Khan, M. (2016). Active Contours for image segmentation using complex domain-based approach. IET Image Processing, 10(2), 121-129. https://doi.org/10.1049/iet-ipr.2014.0730

Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2016). ADDITIVE MANUFACTURING OF UNMANNED AERIAL VEHICLES: CURRENT STATUS, RECENT ADVANCES, AND FUTURE PERSPECTIVES. In C. K. Chua, W. Y. Yeong, M. J. Tan, E. Liu & S. B. Tor (Eds.), Proc. of the 2nd Intl. Conf. on Progress in Additive Manufacturing (pp. 39-48). Research Publishing, Singapore. https://dr.ntu.edu.sg/bitstream/handle/10220/41825/Additive%20Manufacturing%20of%20Unmanned%20Aerial%20Vehicles-Current%20Status%2C%20Recent%20Advances%2C%20and%20Future%20Perspectives.pdf?sequence=1&isAllowed=y

Christiansen, M. P., Larsen, P. G. & Nyholm Jørgensen, R. (2016). Agricultural robotic candidate overview using co-model driven development. In 9th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, IMAACA 2016: IMAACA 2016 (pp. 41-48). Article IMAACA_10 Dime University of Genoa.

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