Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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

Sortér efter: Dato | Forfatter | Titel

Miranda, J., Cabral, J., Ravelo, B., Wagner, S. R., Pedersen, C. F., Memon, M. & Mathiesen, M. (2015). Wireless Authentication Platform for Healthcare Applications. Poster-session præsenteret på IEEE MTT-S International Wireless Symposium, Shenzhen, Kina.
Miranda, J., Memon, M., Cabral, J., Ravelo, B., Wagner, S. R., Pedersen, C. F., Mathiesen, M. & Nielsen, C. (2017). Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications. IEEE Microwave Magazine, 18(2), 83-94. Artikel 7843732. https://doi.org/10.1109/MMM.2016.2635898
Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Ravelo, B., Memon, M. & Mathiesen, M. (2016). An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors, 16(12), Artikel 2089. https://doi.org/10.3390/s16122089
Miranda, J., Cabral, J., Banerjee, S., Grossmann, D., Pedersen, C. F. & Wagner, S. R. (2017). Analysis of OPC Unified Architecture for Healthcare Applications. I 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017: EFTA 2017 (s. 1-4). IEEE. https://doi.org/10.1109/ETFA.2017.8247771
Millinge, O., Böttner, C. & Asif, MR. (2024). Deep Learning based Identification of Oil-Slick Emissions in the Arctic Using Satellite SAR Data. I NSG 2024 4th Conference on Airborne, Drone and Robotic Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420159
Mikutavicius, R., Álvarez-Tuñón, O., Brodskiy, Y. & Sarabakha, A. (2025). Towards End-to-End Underwater vSLAM Using Neural Radiance Fields. I OCEANS 2025 Brest, OCEANS 2025 IEEE. https://doi.org/10.1109/OCEANS58557.2025.11104336
Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2010). Independent feature based plant classification.
Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2012). Estimating plant stem emerging points (PSEPs) of sugar of beets in early growth stages. Biosystems Engineering, 111(1), 83-90. https://doi.org/10.1016/j.biosystemseng.2011.10.011
Midtiby, H., Laursen, M. S., Jørgensen, R. N. & Krüger, N. (2012). MODICOVI - Monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds.
Midtiby, H. S., Åstrand, B., Jørgensen, O. & Jørgensen, R. N. (2016). Upper limit for context-based crop classification in robotic weeding applications. Biosystems Engineering, 146, 183-192. https://doi.org/10.1016/j.biosystemseng.2016.01.012
Memon, M., Wagner, S. R., Hansen, F. O., Pedersen, C. F., Beevi, F. H. A., Mathiesen, M., Nielsen, C. & Langvad, O. (2013). Ambient Assisted Living Ecosystems of Personal Healthcare Systems, Applications, and Devices. I Proceedings - Scandinavian Conference on Health Informatics 2013 (Bind 91/13, s. 61-65). Linköping University Electronic Press. http://www.ep.liu.se/ecp/091/013/ecp13091013.pdf
Memon, M., Wagner, S. R., Pedersen, C. F., Beevi, F. H. A. & Hansen, F. O. (2014). Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes. Sensors, 14, 4312-4341. https://doi.org/10.3390/s140304312
Meldgaard Madsen, L., Asif, M. R., Maurya, P. K., Kühl, A. K., Domenzain, D., Jensen, C., Martin, T., Bastani, M. & Persson, L. (2023). Comparison of tTEM-IP and ERT-IP: Cases from Mine Tailing Sites in Sweden. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320114
McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., A. Christiensen, A. & Luria, J. C. Z. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. 1-5. Abstract fra NSG2022 28th European Meeting of Environmental and Engineering Geophysics, Belgrade , Serbien. https://doi.org/10.3997/2214-4609.202220119
McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., Christensen, A. & Zamora Luria, J. C. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. I NSG2022 28th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202220119
Mashhadi, S. R., Grombacher, D., Pedersen, J. B., Jørgensen, F., Andersen, T. R. & Griffiths, M. P. (2024). Estimation of hydraulic conductivity variations within glacial sediments at Endelave island by borehole NMR data. I 30th European Meeting of Environmental and Engineering Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2024, NSG 2024 European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202420047
Markopoulos, A., Dalsgaard, P., Gkanas, I., Jensen, J. J., Jiang, B., Kaldanis, V., Larsen, L. B., Pedersen, C. F., Christensen, D. S., Schultz, N., Sørensen, L. T. & Peréz Vila, J. (2004). Preliminary report: Draft user centric scenarios for PNs of a valid architecture. Information Society Technologies, My Personal Adaptive Global NET (MAGNET), IST 507102.
Mandic, D. P., Rehman, N. U., Wu, Z. & Huang, N. E. (2013). Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis. IEEE Signal Processing Magazine, 30(6), 74-86. https://doi.org/10.1109/msp.2013.2267931
Malik, Q. W., Rehman, N. U., Gull, S., Ehsan, S. & McDonald-Maier, K. D. (2019). FPGA-Based Real-Time Implementation of Bivariate Empirical Mode Decomposition. Circuits, Systems, and Signal Processing, 38(1), 118-137. https://doi.org/10.1007/s00034-018-0844-2
Malekian, R., Thakur, A., Nair, L. & Pedersen, C. F. (2018). A Sensor Based Peer to Peer Vehicle Data Sharing System, An Internet of Vehicles Approach. Journal of Internet Technology, 19(7), 2155-2162. https://doi.org/10.3966/160792642018121907018
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
Mahapatra, D., Bozorgtabar, B., Ge, Z., Reyes, M. & Thiran, J. P. (2024). Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 38(19), 21378-21386. https://doi.org/10.1609/aaai.v38i19.30133
Mahapatra, D., Bozorgtabar, B., Ge, Z. & Reyes, M. (2024). GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Analysis, 93, Artikel 103075. https://doi.org/10.1016/j.media.2023.103075
Mahapatra, D., Jimeno Yepes, A., Bozorgtabar, B., Roy, S., Ge, Z. & Reyes, M. (2025). Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. IEEE Transactions on Medical Imaging, 44(1), 31-43. https://doi.org/10.1109/TMI.2024.3429471
Mahapatra, D., Tennakoon, R., George, Y., Roy, S., Bozorgtabar, B., Ge, Z. & Reyes, M. (2024). ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Analysis, 97, Artikel 103261. https://doi.org/10.1016/j.media.2024.103261
Mahapatra, D. & Bozorgtabar, B. (2017). Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution.
Mahapatra, D. & Bozorgtabar, B. (2019). Progressive Generative Adversarial Networks for Medical Image Super resolution.
Mahapatra, D., Bozorgtabar, B., Thiran, J.-P. & Shao, L. (2020). Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance.
Mahapatra, D., Bozorgtabar, B., Thiran, J.-P. & Reyes, M. (2018). Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network.
Mahapatra, D., Bozorgtabar, B., Thiran, J.-P. & Shao, L. (2020). Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation.
Madsen, J. K., Karstoft, H., Hansen, F. O. & Toftegaard, T. S. (2010). ASE-BAN, a Wireless Body Area Network Testbed. I EMERGING 2010 : The Second International Conference on Emerging Network Intelligence. Proceedings (s. 120-124). Xpert Publishing Service. http://www.thinkmind.org/index.php?view=article&articleid=emerging_2010_5_40_40059
Madsen, J. K., Karstoft, H., Toftegaard, T. S. & Hansen, F. O. (2010). ASE-BAN, a Wireless Body Area Network Testbed.
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. I 19th International Conference on Precision Agriculture: ICPA 2017
Madsen, S. L., Karstoft, H., Nyholm Jørgensen, R., Nørremark, M., Khokhar, Y., Gomez, J. S., pier van Gosliga, S. & Jaakkola, K. (2017). Quantifying behaviour of dairy cows via multi-stage Support Vector Machines. I D. Berckmans & A. Keita (red.), Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (s. 90-100)
Madsen, S. L., Karstoft, H. & Nyholm Jørgensen, R. (2018). Producing Artificial Data Samples Using Generative Adversarial Networks.. Poster-session præsenteret på 2018 summer school on Optimization in Image Analysis, Sønderborg, Danmark. http://optimization-image-analysis.compute.dtu.dk/posters/simon_madsen.pdf
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. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. van Oostrum & N. Ros (red.), Proceedings of the European Conference on Agricultural Engineering: AgEng2018 (s. 360-369). Wageningen University. https://doi.org/10.18174/471679
Madsen, S. L., Dyrmann, M., Nyholm Jørgensen, R. & Karstoft, H. (2019). Generating artificial images of plant seedlings using generative adversarial networks. Biosystems Engineering, 187, 147-159. https://doi.org/10.1016/j.biosystemseng.2019.09.005
Madsen, S. L., Mortensen, A. K., Nyholm Jørgensen, R. & Karstoft, H. (2019). Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN. Remote Sensing, 11(22), Artikel 2671. https://doi.org/10.3390/rs11222671
Madsen, S. L., Mathiassen, S. K., Dyrmann, M., Laursen, M. S., Paz, L.-C. & Nyholm Jørgensen, R. (2020). Open Plant Phenotype Database of Common Weeds in Denmark. Remote Sensing, 12(8), Artikel 1246. https://doi.org/10.3390/rs12081246
Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2016). Personal Sound Zones: The significance of loudspeaker driver nonlinear distortion. 311-315. Afhandling præsenteret på 2016 AES International Conference on Sound Field Control, Guildford, Storbritannien. https://doi.org/10.1109/ICASSP.2016.7471687
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. I 142nd Audio Engineering Society International Convention 2017 (Bind 2, s. 1019-1026). Artikel 9807 Audio Engineering Society . http://www.aes.org/e-lib/browse.cfm?elib=18681
Ma, X., J. Hegarty, P., Abildgaard Pedersen, J. & Larsen, J. J. (2018). Impact of loudspeaker nonlinear distortion on personal sound zones. Acoustical Society of America. Journal, 143(51), 51-59. https://doi.org/10.1121/1.5019476
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
Ma, X., Hegarty, P. J., Jørgensen, K. F. & Larsen, J. J. (2019). Nonlinear distortion reduction in sound zones by constraining individual loudspeaker control effort. Journal of the Audio Engineering Society, 67(9), 641-654. https://doi.org/10.17743/jaes.2019.0015
Looney, D., Rehman, N. U., Mandic, D., Rutkowski, T. M., Heidenreich, A. & Beyer, D. (2009). Conditioning multimodal information for smart environments. I 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) IEEE. https://doi.org/10.1109/icdsc.2009.5289373
Lochbrunner, S., Larsen, J. J., Shaffer, J. P., Schmitt, M., Schultz, T., Underwood, J. G. & Stolow, A. (2000). Methods and applications of femtosecond time-resolved photoelectron spectroscopy. Journal of Electron Spectroscopy and Related Phenomena, 112(1-3), 183-198. https://doi.org/10.1016/S0368-2048(00)00212-7
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. I 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702012
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
Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Low noise, multichannel surface NMR receiver system with wireless connections to receiver coils. Abstract fra First Australian Exploration Geoscience Conference, Sydney, Australien. http://www.publish.csiro.au/ex/pdf/ASEG2018abT7_1H
Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Improved parameters estimates for surface-NMR data using spectral analysis. Afhandling præsenteret på 7th International Workshop on Magnetic Resonance, Jilin, Kina.

Viser resultater 301 til 350 ud af 776

Forrige

3

4

5

6

7

8

9

10

11

12

Næste

Revideret 13.11.2025
-
AU Engineering