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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Thanh Tran, D., Høye, T. T., Gabbouj, M. & Iosifidis, A. (2018). Automatic Flower and Visitor Detection System. Proceedings of the European Signal Processing Conference, 2018, 405-409. https://doi.org/10.23919/EUSIPCO.2018.8553494

Madsen, S. L., Dyrmann, M., Laursen, M. S., Mathiassen, S. K. & Nyholm Jørgensen, R. (2018). Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed. In Proceedings of the European Conference on Agricultural Engineering: AgEng2018 (pp. 360-369). Wageningen University. https://doi.org/10.18174/471679

Steen, K. A., Grooters, K., Høilund, C., Rasmussen, J., Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018). Automated Weed Intensity Mapping. In Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 109). Wageningen University. https://doi.org/10.18174/471678

Larsen, D., Steen, K. A., Skovsen, S., Grooters, K., Eriksen, J., Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018). Semantic Segmentation of Clover-Grass Images using Images from Commercially Available Drones. In Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 110). Wageningen University. https://doi.org/10.18174/471678

Steen, K. A., Delebasse, S., Grooters, K., Høilund, C., Dyrmann, M., Skovsen, S., Nyholm Jørgensen, R. & Green, O. (2018). In-field Potato Diseases Detection. In Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 111). Wageningen University. https://doi.org/10.18174/471678

Lindahl, C., Wagner, S., Uldbjerg, N., Schlütter, J. M., Bertelsen, O. W. & Sandager, P. (2018). Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. In N. Minsky & V. Osmani (Eds.), Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 (pp. 318-326). Association for Computing Machinery. PervasiveHealth: Pervasive Computing Technologies for Healthcare https://doi.org/10.1145/3240925.3240963

M. Skovbjerg, I. & Wagner, S. R. (2018). NOVEL TELEMEDICINE GATEWAY FOR SUPPORTING SEAMLESS DEPLOYMENT OF MEDICO DEVICS. Abstract from Dansk Medicoteknisk Selskab landsmøde 2018, Vingsted, Denmark.

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

Mehndiratta, M., Camci, E. & Kayacan, E. (2018). Automated Tuning of Nonlinear Model Predictive Controller by Reinforcement Learning. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems : IROS (pp. 3016-3021). IEEE. https://doi.org/10.1109/IROS.2018.8594350

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

Muravev, A., Thanh Tran, D., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2018). Acceleration approaches for big data analysis. In 2018 25th IEEE International Conference on Image Processing (ICIP): Proceedings (pp. 311-315). IEEE. https://doi.org/10.1109/ICIP.2018.8451082

Xu, L., Iosifidis, A. & Gabbouj, M. (2018). Weighted Linear Discriminant Analysis Based on Class Saliency Information. In 2018 25th IEEE International Conference on Image Processing (ICIP): Proceedings (pp. 2306-2310). IEEE. https://doi.org/10.1109/ICIP.2018.8451614

Raitoharju, J., Riabchenko, E., Ahmad, I., Iosifidis, A., Gabbouj, M., Kiranyaz, S., Tirronen, V., Ärje, J., Kärkkäinen, S. & Meissner, K. (2018). Benchmark Database for Fine-Grained Image Classification of Benthick Macroinvertebrates. Image and Vision Computing, 78, 73-83. https://doi.org/10.1016/j.imavis.2018.06.005

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

Wilson Lee, Y. J., Mehndiratta, M. & Kayacan, E. (2018). Fly without borders with Additive Manufacturing: A microscale tilt-rotor Tricopter Design. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (pp. 256-261) https://doi.org/10.25341/D43K5G

Gokhale, R., Wan, Y., Mehndiratta, M. & Kayacan, E. (2018). Fixed-wing Vertical-takeoff-and-landing UAV with Additive Manufacturing: A dual-rotor Version. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (pp. 250-255) https://doi.org/10.25341/D4Z30H

Ong, Z. Q. G., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). Feasibility Studies of Postprocessing Techniques to Strenghten 3D Printed UAV Wing Structures. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (pp. 244-249) https://doi.org/10.25341/D4WW2K

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

Ravindrababu, S., Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2018). Evaluation of the Influence of Build and Print Orientations of Unmanned Aerial Vehicle Parts Fabricated Using Fused Deposition Modeling Process. Journal of Manufacturing Processes, 34(Part A), 659-666. https://doi.org/10.1016/j.jmapro.2018.07.007

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) (pp. 6378-6383). IEEE. https://doi.org/10.23919/ACC.2018.8430814

Mehndiratta, M., Kayacan, E. & Kayacan, E. (2018). A Simple Learning Strategy for Feedback Linearization Control of Aerial Package Delivery Robot. In 2018 IEEE Conference on Control Technology and Applications: CCTA (pp. 361-367). IEEE. https://doi.org/10.1109/CCTA.2018.8511485

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 (pp. 774-780). IEEE. https://doi.org/10.1109/CCTA.2018.8511444

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

Holm, L., Stucke-Brander, T., Wagner, S. R., Sandager, P., Schlütter, J. M., Lindahl, C. & Uldbjerg, N. (2019). Automated blood pressure self-measurement station compared to office blood pressure measurement for first trimester screening of pre-eclampsia. Health Informatics Journal, 25(4), 1815-1824. https://doi.org/10.1177/1460458218799505

Ma, X., J. Hegarty, P. & Larsen, J. J. (2018). Mitigation of Nonlinear Distortion in Sound Zone Control by Constraining Individual Loudspeaker Driver Amplitudes. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2018, 456-460. https://doi.org/10.1109/ICASSP.2018.8462135

Wagner, S. R., Hunnerup, E. & Miranda, J. (2018). Demonstration of a Micro-Services Based Multi-Purpose Sensor Platform for Supporting Ambient Assisted Living Systems. In N. Weibel, K. Wac & L. Li (Eds.), PERVASIVEHEALTH - EAI 2018: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare – Demos, Posters, Doctoral Colloquium EAI. https://doi.org/10.4108/eai.20-4-2018.2276235

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

Skovsen, S., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2018). Mapping of Clover Grass Leys using Image Recognition. Poster session presented at DTU and DIKU Summer School: Optimization in Image Analysis, Denmark. http://optimization-image-analysis.compute.dtu.dk/posters/soren_skovsen.pdf

Wagner, S. R. & Hunnerup, E. (2018). Ambient Assisted Living Ecosystem for Supporting Senior Citizens' Human System Interaction. In 2018 11th International Conference on Human System Interaction (HSI): Conference proceedings (pp. 221-225). IEEE. https://doi.org/10.1109/HSI.2018.8431357

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). [5040] International Society of Precision Agriculture. https://www.ispag.org/proceedings/?action=abstractid=5040

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2018). Ground Vehicle Mapping of Fields using LiDAR to Enable Prediction of Crop Biomass. In Proceedings of the 14th International Conference on Precision Agriculture [5145] International Society of Precision Agriculture. https://ispag.org/proceedings/?action=abstract&id=5145

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 [5079] International Society of Precision Agriculture. https://ispag.org/proceedings/?action=abstract&id=5079

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

Tran, D. T., Iosifidis, A. & Gabbouj, M. (2018). Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks, 105, 328-339. https://doi.org/10.1016/j.neunet.2018.05.017

Imanberdiyev, N. & Kayacan, E. (2019). A fast learning control strategy for unmanned aerial manipulators. Journal of Intelligent and Robotic Systems, 94(3-4), 805-824. https://doi.org/10.1007/s10846-018-0884-7

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

Yan, R. J., Kayacan, E., Chen, I. M., Tiong, L. K. & Wu, J. (2019). QuicaBot: Quality Inspection and Assessment Robot. IEEE Transactions on Automation Science and Engineering, 16(2), 506-517. https://doi.org/10.1109/TASE.2018.2829927

Malekian, R., Curran, K., Pedersen, C. F., Cao, B. & Qi, X. (2018). Guest Editorial Special Issue on Sensor Technologies for Connected Cars: Devices, Systems and Modeling. IEEE Sensors Journal, 18(12), 4775-4776. https://doi.org/10.1109/JSEN.2018.2830478

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

Mortensen, A. K. (Producer), Laursen, M. S. (Photographer) & Nyholm Jørgensen, R. (Composer). (2018). Estimation of Above-Ground Biomass and Nitrogen-Content of Agricultural Field Crops using Computer Vision. Pictures, Video and sound recordings (digital)

Karimi, H., Skovsen, S., Dyrmann, M. & Nyholm Jørgensen, R. (2018). A Novel Locating System for Cereal Plant Stem Emerging Points’ Detection Using a Convolutional Neural Network. Sensors, 18 (5), [1611]. https://doi.org/10.3390/s18051611

Teimouri, N., Dyrmann, M., Nielsen, P. R., Mathiassen, S. K., Somerville, G. J. & Jørgensen, R. N. (2018). Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. Sensors, 18(5), [1580]. https://doi.org/10.3390/s18051580

Kayacan, E. & Kaynak, O. (2006). Gri Bulanik PID Denetleyici Tasarimi ve Dogrusal Olmayan Sivi Seviye Sistemine Uygulanmasi. In TOK 2006 - Otomatik Kontrol Ulusal Toplantisi (pp. 16-21)

Oniz, Y., Kayacan, E. & Kaynak, O. (2007). Kilitlenmeyen Fren Sistemi (KFS) icin Gri Kayma Kipli Denetleyici Tasarimi. In TOK 2007 - Otomatik Kontrol Ulusal Toplantisi (pp. 506-511)

Kayacan, E., Ulutas, B., Buyuksalvarci, A. & Kaynak, O. (2007). Gri Sistem Kurami ve Finansman Uygulamalari:IMKB Ornegi. In UFS 2007 - 11. Ulusal Finans Sempozyumu (pp. 215-229) http://www.academia.edu/2695567/GR%C4%B0_S%C4%B0STEM_KURAMI_VE_F%C4%B0NANSMAN_UYGULAMALARI_%C4%B0MKB_%C3%96RNE%C4%9E%C4%B0

Kayacan, E., Oniz, Y., Kaynak, O. & V. Topalev, A. (2008). Kilitlenmeyen Fren Sistemi (KFS)’nin Gri cok Katmanli Ileri Beslemeli Yapay Sinir Aglari ile Uyarlamali Kontrolu. In TOK 2008 Otomatik Kontrol Ulusal Toplantisi (pp. 453-458)

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. In A. Peruzzi (Ed.), : Proceedings of the First International Conference on Robotics and Associated High-technologies and Equipment for Agriculture. Applications of automated systems and robotics for crop protection in sustainable precision agriculture (pp. 157-162). University of Pisa.

D. Nona, K., Kayacan, E. & Saeys, W. (2013). Compression Modeling in the Large Square Baler. In 71st International Conference on Agricultural Engineering 2013 (pp. 1-6) https://lirias.kuleuven.be/bitstream/123456789/424705/2/AgEng2013_CompressionModeling.pdf

Van Beers, R., Gutierrez, L. L., Schenk, A., Nicolai, B., Kayacan, E. & Saeys, W. (2014). Optical measurement techniques for the ripeness determination of Braeburn apples. In Proceedings International Conference of Agricultural Engineering (pp. 1-7) http://www.geyseco.es/geystiona/adjs/comunicaciones/304/C02000001.pdf

Thanh Nguyen, T., Keresztes, J., Vandevoorde, K., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2014). Apple detection algorithm for robotic harvesting using a RGB-D camera. In Proceedings International Conference of Agricultural Engineering (pp. 1-8) https://pdfs.semanticscholar.org/d294/58c25c8bde8492c15eacb96c871c2030f2c5.pdf

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AU Engineering