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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.

Publication list

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Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [PhD dissertation, Aarhus University]. Aarhus Universitet.
Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. In BHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings IEEE. https://doi.org/10.1109/BHI58575.2023.10313466
Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience. In Y. Jingang (Ed.), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) IEEE. https://doi.org/10.1109/CASE56687.2023.10260660
Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. In P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (Eds.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (pp. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18
Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Article 109099. https://doi.org/10.1016/j.fcr.2023.109099
Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 541-548). Association for Computing Machinery. https://doi.org/10.1145/3604237.3626863
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810
Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507
Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2(1), Article 65. https://doi.org/10.1038/s44172-023-00117-9
Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799
Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 7 (pp. 8421-8429). Article 190493 AAAI Press. https://doi.org/10.1609/aaai.v37i7.26015
Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. In A. Iosifidis & A. Tefa (Eds.), Deep Learning for Robot Perception and Cognition (pp. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X
Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, Article 105017. https://doi.org/10.1016/j.cageo.2021.105017
Pianini, D., Pettinari, F., Casadei , R. & Esterle, L. (2022). A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 17(1-2), 1-39. Article 4. https://doi.org/10.1145/3547145
Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Paper presented at IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, United States. https://doi.org/10.1109/ECCE50734.2022.9947433
Boudjadar, J. (2022). A Digital Twin Setup for Safety-aware Optimization of a Cyber-Physical System. 161-168. Paper presented at International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal. https://doi.org/10.5220/0011272100003271
Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 34-49) https://doi.org/10.48550/arXiv.2208.10233
Boudjadar, J. (2022). A Flexible Implementation Model for Neural Networks on FPGAs. Paper presented at International Conference on Intelligent Systems Design and Applications.
Ghanatian Najafabadi, H., Farkhani, H. & Moradi, F. (2022). A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque. In Proceedings - 2022 IEEE 40th International Conference on Computer Design, ICCD 2022 (pp. 701-704). IEEE. https://doi.org/10.1109/ICCD56317.2022.00107
Andalibi, M., Madani, S., Ziebert, C., Naseri, F. & Hajihosseini, M. (2022). A Model-Based Approach for Voltage and State-of- Charge Estimation of Lithium-ion Batteries. In E. Pashajavid, D. Kim, S. Rajakaruna & A. Abu-Siada (Eds.), 2022 IEEE Sustainable Power and Energy Conference (iSPEC) IEEE. https://doi.org/10.1109/iSPEC54162.2022.10032998
Fehér, M., Lucani Rötter, D. E. & Chatzigeorgiou, I. (2022). An Adaptive Column Compression Family for Self-Driving Databases. Paper presented at Thirteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Sydney, New South Wales, Australia. https://arxiv.org/abs/2209.02334
Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957