Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

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Kamari, A., Petersen, J. H. & Schultz, C. P. L. (2021). Popularizing DGNB in the Danish construction industry: A field study of the industry via a qualitative comparative analysis. In Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (pp. 638-649). Article 64. http://itc.scix.net/paper/w78-2021-paper-064

Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. In Proceedings of 14th Modelica Conference 2021 (pp. 419-424) https://doi.org/10.3384/ecp21181419

Asplund, F., Macedo, H. D. & Sassanelli, C. (2021). Problematizing the Service Portfolio of Digital Innovation Hubs. In L. M. Camarinha-Matos, X. Boucher & H. Afsarmanesh (Eds.), Smart and Sustainable Collaborative Networks 4.0 - 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Proceedings: 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22–24, 2021, Proceedings (pp. 433-440). Springer. https://doi.org/10.1007/978-3-030-85969-5_40

Macedo, H. D., Thule, C. & Pierce, K. (2021). Proceedings of the 19th International Overture Workshop. https://arxiv.org/abs/2110.09371

Heidari, N. & Iosifidis, A. (2021). Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access, 9, 81957-81968. https://doi.org/10.1109/ACCESS.2021.3085905

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. arxiv.org. https://doi.org/10.48550/arXiv.2106.04332

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 2021-June, pp. 3220-3224). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413860

Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. In 30th International Conference on Computer Communications and Networks, ICCCN 2021 IEEE. https://doi.org/10.1109/ICCCN52240.2021.9522156

Figueiredo, R. P. D., Sejersen, J. L. F., Hansen, J. G., Brandão, M. & Kayacan, E. (2021). Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. (pp. 9064-9070). https://doi.org/10.48550/arXiv.2109.01474

Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. In 2021 IEEE Global Communications Conference (GLOBECOM) (Vol. 2021-January). IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374

Oda, T., Araki, K., Sahara, S., Chang, H.-M. & Larsen, P. G. (2021). Refactoring for Exploratory Specification in VDM-SL. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 21-35) https://arxiv.org/abs/2110.09371

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Paper presented at International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), Article 060901. https://doi.org/10.1117/1.JMI.8.6.060901

Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. In V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (Eds.), Laser Resonators, Microresonators, and Beam Control XXIII Article 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. Article 9210058. https://doi.org/10.1109/LCOMM.2020.3027875

Frasheri, M., Ejersbo, H., Thule, C. & Esterle, L. (2021). RMQFMU: Bridging the Real World with Co-simulation For Practitioners. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 66-80) https://arxiv.org/pdf/2110.09371.pdf

Tola, D., Gomes, C., Schultz, C., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a domain model for industrial robot system configurators. CEUR Workshop Proceedings, 2956.

Tola, D., Gonçalves Gomes, C. Â., Schultz, C. P. L., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. In A. Soylu, A. T. Nezhad, N. Nikolov, I. Toma, A. Fensel & J. Vennekens (Eds.), Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021 CEUR-WS.org. http://ceur-ws.org/Vol-2956/paper12.pdf

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). Robust channel-wise illumination estimation. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05681.pdf

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1397-1401). Article 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Robust hypersphere-based weight imprinting for few-shot learning. In 2020 28th European Signal Processing Conference (EUSIPCO (pp. 1392-1396). Article 9287340 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287340

Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), Article 175. https://doi.org/10.3390/s21010175

Sørensen, R. A. (2021). Routing in Simulated Baggage Handling Systems using Centralized Deep Reinforcement Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Ulsig, E. Z. & Volet, N. (2021). Second-order nonlinear effects in InGaAsP waveguides for efficient wavelength conversion to the mid-infrared. In P. G. Schunemann & K. L. Schepler (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Article 116700U SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581819

Jacobsen, R. H. & Marandi, S. A. (2021). Security Threats Analysis of the Unmanned Aerial Vehicle System. In MILCOM 2021 - 2021 IEEE Military Communications Conference (pp. 316-322) https://doi.org/10.1109/MILCOM52596.2021.9652900

Gonçalves Gomes, C. Â., Abbiati, G. & Larsen, P. G. (2021). Seismic Hybrid Testing using FMI-based Co-Simulation. In M. Sjölund, L. Buffoni, A. Pop & L. Ochel (Eds.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (pp. 287-295) https://doi.org/10.3384/ecp21181287

Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P. R., Nelson, P. R., Pournaras, E., Stein, A. & Tomforde, S. (2021). Self-improving system integration: Mastering continuous change. Future Generation Computer Systems, 117, 29-46. https://doi.org/10.1016/j.future.2020.11.019

Christensen, S., Dyrmann, M., Nyholm Jørgensen, R. & Laursen, M. S. (2021). Sensing for Weed Detection. In Sensing Approaches for Precision Agriculture (pp. 275-300). Springer. https://doi.org/10.1007/978-3-030-78431-7, https://doi.org/10.1007/978-3-030-78431-7_10

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 55-60). IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. In 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Article 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P., Jørgensen, R. N. & Christensen, S. (2021). Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research, 61(3), 147-153. https://doi.org/10.1111/wre.12469

Hosseini, S., Laursen, K., Rashidi, A., Mondal, T., Corbett, B. & Moradi, F. (2021). S-MRUT: Sectored-Multi Ring Ultrasonic Transducer for Selective Powering of Brain Implants. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(1), 191-200. Article 9112273. https://doi.org/10.1109/TUFFC.2020.3001084

Dybro, N., M. Allen, C., Grift, T., Grøn Sørensen, C. & C. Hansen, A. (2021). Sources of Increased Food Demand by 2050 and Options to Address the Challenge. Poster session presented at ASABE.

Oda, T., Akari, K., Yamamoto, Y., Nakakoji, K., Chang, H.-M. & Larsen, P. G. (2021). Specifying Abstract User Interface in VDM-SL. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 5-20) https://arxiv.org/pdf/2101.07261.pdf

Soltanian, M., Malik, J., Raitoharju, J., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2021). Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534232

Grombacher, D., Liu, L., Griffiths, M. P., Vang, M. & Larsen, J. J. (2021). Steady-State Surface NMR for Mapping of Groundwater. Geophysical Research Letters, 48(23), Article e2021GL095381. https://doi.org/10.1029/2021GL095381

Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Stochastic Model Predictive Energy Management in Hybrid Emission-Free Modern Maritime Vessels. IEEE Transactions on Industrial Informatics, 17(8), 5430-5440. https://doi.org/10.1109/TII.2020.3027808

Frisk, O., Dormann, F., Lillelund, C. M. & Pedersen, C. F. (2021). Super-convergence and Differential Privacy: Training faster with better privacy guarantees. In 55th Annual Conference on Information Sciences and Systems (pp. 1-6). Article 9400274 IEEE. https://doi.org/10.1109/CISS50987.2021.9400274

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

Larsen, J. J., Pedersen, S. S., Foged, N. & Auken, E. (2021). Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates. Geoscientific Instrumentation, Methods and Data Systems, 10(1), 81-90. Article 8. https://doi.org/10.5194/gi-10-81-2021

Hansen, S. T., Gomes, C., Larsen, P. G. & Van De Pol, J. (2021). Synthesizing Co-Simulation Algorithms with Step Negotiation and Algebraic Loop Handling. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 62-73). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552073

Pullens, J. W. M., Sørensen, C. A. G. & Olesen, J. E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, Article 108085. https://doi.org/10.1016/j.fcr.2021.108085

Inci, E. O., Croes, J., Desmet, W., Gomes, C., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). The Effect and Selection of Solution Sequence in Co-Simulation. 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/ANNSIM52504.2021.9552130

Gonçalves Gomes, C. Â., Najafi, M., Sommer, T., Blesken, M., Zacharias, I., Kotte, O., Mai, P. R., Schuch, K., Wernersson, K., Bertsch, C., Blochwitz, T. & Junghanns, A. (2021). The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations. In M. Sjölund, L. Buffoni, A. Pop & L. Ochel (Eds.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (pp. 27-36) https://doi.org/10.3384/ecp2118127

Junghanns, A., Blochwitz, T., Bertsch, C., Sommer, T., Wernersson, K., Pillekeit, A., Zacharias, I., Blesken, M., Mai, P. R., Schuch, K., Schulze, C., Gonçalves Gomes, C. Â. & Najafi, M. (2021). The Functional Mock-up Interface 3.0 - New Features Enabling New Applications. In M. Sjölund, L. Buffoni, A. Pop & L. Ochel (Eds.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (pp. 17-26) https://doi.org/10.3384/ecp2118117

Marinoudi, V., Lampridi, M., Kateris, D., Pearson, S., Sørensen, C. G. & Bochtis, D. (2021). The future of agricultural jobs in view of robotization. Sustainability (Switzerland), 13(21), Article 12109. https://doi.org/10.3390/su132112109

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Sandberg, M. & Larsen, P. G. (2021). The Incubator Case Study for Digital Twin Engineering. ArXiv. https://arxiv.org/pdf/2102.10390.pdf

The twg on energy transition (2021). Theme report on energy transition: Towards the achievement of sdg 7 and net-zero emissions. United Nations Publications. https://www.un.org/sites/un2.un.org/files/2021-twg_2-062321.pdf

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). The Specification Language Server Protocol: A Proposal for Standardised LSP Extensions. In J. Proença & A. Paskevich (Eds.), Proceedings of the 6th Workshop on Formal Integrated Development Environment (Vol. 338, pp. 3-18). Open Publishing Association. https://doi.org/10.4204/EPTCS.338.3

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