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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Tran, D. T. & Iosifidis, A. (2019). Learning to Rank: A Progressive Neural Network Learning Approach. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 8355-8359). Article 8683711 IEEE. https://doi.org/10.1109/ICASSP.2019.8683711

Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing, 121, 344-353. https://doi.org/10.1016/j.neucom.2013.05.021

Camci, E. & Kayacan, E. (2019). Learning motion primitives for planning swift maneuvers of quadrotor. Autonomous Robots, 43(7), 1733-1745. https://doi.org/10.1007/s10514-019-09831-w

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System. IEEE Transactions on Control Systems Technology, 23(1), 197-205. https://doi.org/10.1109/TCST.2014.2321514

Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2011). Learning Human Identity Using View-Invariant Multi-view Movement Representation. In C. Vielhauer, J. Dittmann, A. Drygajlo, N. C. Juul & M. C. Fairhurst (Eds.), Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings (pp. 217-226). Springer. https://doi.org/10.1007/978-3-642-19530-3_20

Aytekin, C., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2016). Learning Graph Affinities for Spectral Graph-based Salient Object Detection. Pattern Recognition, 64, 159-167. https://doi.org/10.1016/j.patcog.2016.11.005

Govdeli, Y., Bin Muzaffar, S. M., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model. In 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Article 8859023 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2019.8859023

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

Mehndiratta, M., Kayacan, E., Patel, S., Kayacan, E. & Chowdhary, G. (2019). Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots. In S. V. Rakovic & W. Levine (Eds.), Handbook of Model Predictive Control (1 ed., pp. 581-605). Birkhäuser Verlag. https://doi.org/10.1007/978-3-319-77489-3_24

Riabchenko, E., Meissner, K., Ahmad, I., Iosifidis, A., Tirronen, V., Gabbouj, M. & Kiranyaz, S. (2016). Learned vs. Engineered Features for Fine-Grained Classification of Aquatic Macroinvertebrates. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 2276-2281). Article 7899975 IEEE. https://doi.org/10.1109/ICPR.2016.7899975

Larsen, J. J. (2000). Laser induced alignment of neutral molecules. Institut for Fysik og Astronomi, Aarhus Universitet. http://phys.au.dk/fileadmin/site_files/publikationer/phd/Jakob_Juul_Larsen.pdf

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Large-scale nonlinear facial image classification based on Approximate Kernel Extreme Learning Machine. In Image Processing (ICIP), 2015 IEEE International Conference on (pp. 2449-2453). IEEE. https://doi.org/10.1109/ICIP.2015.7351242

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2015). Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble. In Trustcom/BigDataSE/ISPA, 2015 IEEE (pp. 6-10). IEEE. https://doi.org/10.1109/Trustcom.2015.555

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). Laplacian One Class Extreme Learning Machine for Human Action Recognition. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016 Article 7813387 IEEE. https://doi.org/10.1109/MMSP.2016.7813387

Pedersen, C. F. (Developer), Trier Lund, M. (Other), Vardinghus Nielsen, C. (Other), Fromberg, J. (Other), Sloth, S. (Other), Bay Velling, M. (Other), Staach, L. (Other) & Lorenzen, T. (Other). (2000). Læring med IT: Novo Nordisk Projektet. Pictures, Video and sound recordings (digital), Novo Nordisk and The Danish Ministry of Education.

Karstoft, H. (2010). Kursus i Wavelets for ingeniører: Noter til Tisib2. Ingeniørhøjskolen i Aarhus.

Jørgensen, R. & Hansen, P. M. (2000). Kunstigt øje vogter over planters ernæringstilstand. Risoenyt, 2, 12-13.

Green, O. & Jørgensen, R. (2007). Kørselsskader i græs. Poster session presented at Temadag på Institut for Jordbrugsteknik - et vindue til fremtidens markteknologi, Horsens.

Thanh Tran, D., Kiranyaz, S., Gabbouj, M. & Iosifidis, A. (2019). Knowledge Transfer For Face Verification Using Heterogeneous Generalized Operational Perceptrons. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 1168-1172). Article 8804296 IEEE. https://doi.org/10.1109/ICIP.2019.8804296

Zhou, S., Helwa, M. K., Schoellig, A. P., Sarabakha, A. & Kayacan, E. (2019). Knowledge transfer between robots with similar dynamics for high-accuracy impromptu trajectory tracking. In 2019 18th European Control Conference, ECC 2019 Article 8796140 IEEE. https://doi.org/10.23919/ECC.2019.8796140

Andersen, M. R., Jensen, T., Lisouski, P., Mortensen, A. K., Hansen, M. K., Gregersen, T. & Ahrendt, P. (2012). Kinect Depth Sensor Evaluation for Computer Vision Applications. Aarhus University, Department of Engineering. Technical report No. ECE-TR-6 http://eng.au.dk/fileadmin/DJF/ENG/PDF-filer/Tekniske_rapporter/Technical_Report_ECE-TR-6-samlet.pdf

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)

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)

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). Kernel Subclass Support Vector Description for Face and Human Action Recognition. In 2016 1st International Workshop on Sensing, Processing and Learning for Intelligent Machines, SPLINE 2016 - Proceedings Article 7528409 IEEE. https://doi.org/10.1109/SPLIM.2016.7528409

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Kernel Reference Discriminant Analysis. Pattern Recognition Letters, 49, 85-91. https://doi.org/10.1016/j.patrec.2014.06.013

Høye, T. T., Mann, H. M. R. & Bjerge, K. (2020). Kamerabaseret overvågning af Insekter på grønne bytage. Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi ©. Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi No. 371 https://dce2.au.dk/pub/SR371.pdf

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220034

Grombacher, D., Liu, L., Kass, M. A., Osterman, G., Fiandaca, G., Auken, E. & Larsen, J. J. (2020). Inverting surface NMR free induction decay data in a voltage-time data space. Journal of Applied Geophysics, 172, Article 103869. https://doi.org/10.1016/j.jappgeo.2019.103869

Sarabakha, A., Fu, C. & Kayacan, E. (2019). Intuit before tuning: Type-1 and type-2 fuzzy logic controllers. Applied Soft Computing Journal, 81, Article 105495. https://doi.org/10.1016/j.asoc.2019.105495

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021). Introduction to Digital Twin Engineering. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552135

Iosifidis, A. & Tefas, A. (2022). Introduction. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3

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

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Article 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Jensen, T. & Karstoft, H. (2014). Intelligent Soil Tillage. Abstract from NJF Seminar, Herning, Denmark.

Kouskouridas, R., Belagiannis, V., Gasteratos, A., Kyriakoulis, N., Chrysostomou, D., Iosifidis, A., Karakasis, E., Badekas, E. & G. Mouroutsos, S. (2009). Intelligent Integrated Vision System for Indoor Robotics Applications. In 5th National and International HSSS Conference https://www.researchgate.net/publication/265225992_Intelligent_Integrated_Vision_System_for_Indoor_Robotics_Applications

Kayacan, E., Saeys, W., Kayacan, E., Ramon, H. & Kaynak, O. (2012). Intelligent Control of a Tractor-Implement System Using Type-2 Fuzzy Neural Networks. In Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (pp. 1-8). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2012.6250790

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

Pimentel de Figueiredo, R., Le Fevre Sejersen, J., Grimm Hansen, J. & Brandão, M. (2022). Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers in Robotics and AI, 9, Article 911974. https://doi.org/10.3389/frobt.2022.911974

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2018). Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor VTOL UAVs. IEEE - ASME Transactions on Mechatronics, 23(2), 725-734. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304792

Chen, I-M., Asadi, E., Nie, J., Yan, R-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. In V. Parenti-Castelli & W. Schiehlen (Eds.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (pp. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

Farkhani, S., Skovsen, S. K., Mortensen, A. K., Laursen, M. S., Nyholm Jørgensen, R. & Karstoft, H. (2020). Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming. In C. M. U. Neale & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII (Vol. 11528). Article 115280A SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2573626

Nyord, T., Steen, K. A. & Nyholm Jørgensen, R. (2014). Infrared measurements used as soil infiltration indicator for animal slurry. In International Conference of Agricultural Engineering - AgEng 2014 Zurich The European Society of Agricultural Engineers (EurAgEng). http://www.geyseco.es/ageng2014/eposter/?seccion=posters&idcomunicacion=556&tipo=3

Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2010). Independent feature based plant classification.

Chumachenko, K., Raitoharju, J., Gabbouj, M. & Iosifidis, A. (2020). Incremental Fast Subclass Discriminant Analysis. In 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings (pp. 1771-1775). Article 9191328 IEEE. https://doi.org/10.1109/ICIP40778.2020.9191328

Laursen, M. S., Nyholm Jørgensen, R. & Midtiby, H. S. (2014). Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters. Abstract from Agromek and NJF joint seminar, Herning, Denmark.

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

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

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

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