Aarhus Universitets segl

Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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Jiang, X., Ma, Z., Fu, Y., Liao, Y. & Zhou, P. (2024). Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations. I MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia (s. 9184-9193). Association for Computing Machinery. https://doi.org/10.1145/3664647.3681302
Nielsen, L. & Lucani Rötter, D. E. (2021). Hekate a tool for gauging Data Deduplication Performance. I Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021 (s. 67-72). IEEE. https://doi.org/10.1109/SmartCloud52277.2021.00019
Laursen, S. R. L., Holm, H. A. & Nielsen, S. H. (2022). Heart rate-based dynamic sound intervention - a pilot study. I Proceedings of the EUROREGIO/BNAM2022 Conference: Joimt Acoustics Conference (s. 473-481). https://www.conforg.fr/erbnam2022/output_directory/data/articles/000032.pdf
Gaardbaek, B. & Kidmose, P. (2025). Hearable Heart Beats: Recording the Heart Rate from the Ear. I 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Bind 2025, s. 1-6). IEEE. https://doi.org/10.1109/EMBC58623.2025.11254754
Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering, 38(15), 2128-2144. https://doi.org/10.1111/mice.12988
Gaikwad, N. B., Khare, S. K., Satpute, N. & Keskar, A. G. (2022). Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile. I Proceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (s. 74-77). IEEE. https://doi.org/10.1109/PCEMS55161.2022.9808049
Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008). Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy, 4(2), 151-75. https://doi.org/10.4161/auto.5338
Navarro-Guerrero, N., Nguyen, S. M., Oztop, E. & Zhong, J. (2021). Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 234-238. https://doi.org/10.1109/TCDS.2021.3082880
Chen, Y., Shahidehpour, M., Lin, Y., Dvorkin, Y., Peric, V., Zhao, J., Ugalde-Loo, C. E. & Ge, L. (2022). Guest Editorial: Situational awareness of integrated energy systems. IET Generation, Transmission and Distribution, 16(14), 2761-2765. https://doi.org/10.1049/gtd2.12524
Mahmoudi, A., Khezri, R., Bidram, A., Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023). Guest editorial: Application of cloud energy storage systems in power systems. IET Generation, Transmission and Distribution, 17(8), 1687-1689. https://doi.org/10.1049/gtd2.12770
Laakom, F., Raitoharju, J., Passalis, N., Iosifidis, A. & Gabbouj, M. (2022). Graph Embedding with Data Uncertainty. IEEE Access, 10, 24232-24239. https://doi.org/10.1109/ACCESS.2022.3155233
Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, Artikel 108999. https://doi.org/10.1016/j.patcog.2022.108999
Gautam, C., Tiwari, A., Mishra, P. K., Suresh, S., Iosifidis, A. & Tanveer, M. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation, 13(2), 552-569. https://doi.org/10.1007/s12559-020-09804-7
Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9
Chen, Y., Liu, H., Liu, Y., Xie, J., Yang, R., Yuan, H., Fu, Y., Zhou, P. Y., Chen, Q., Caverlee, J. & Li, I. (2025). GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. I W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (red.), Proceedings of the Annual Meeting of the Association for Computational Linguistics: Volume 1: Long Papers (s. 14976-14995). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.729
Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Graph-Aided Multivariate Signal Decomposition. I International Conference on Frontiers of Signal Processing (ICFSP) (s. 169-173) https://doi.org/10.1109/ICFSP62546.2024.10785500
Fridorf, O., Bjørnskov, L. M. R., Jenkins, A., Benetti, L., Shreya, S., Rezaeiyan, Y., Böhnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2025). Granular Spintronics-based Reservoir Computing for Temporal Applications. I ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings IEEE. https://doi.org/10.1109/ISCAS56072.2025.11043748
Frasheri, M., Miloradovic, B., Esterle, L. & Papadopoulos, A. V. (2023). GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. Proceedings (IEEE Symposium Series on Computational Intelligence), 1696-1703. https://doi.org/10.1109/SSCI52147.2023.10371893
Le Fevre Sejersen, J., Suzumura, T. & Kayacan, E. (2025). GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning. I C. Laugier, A. Renzaglia, N. Atanasov, S. Birchfield, G. Cielniak, L. De Mattos, L. Fiorini, P. Giguere, K. Hashimoto, J. Ibanez-Guzman, T. Kamegawa, J. Lee, G. Loianno, K. Luck, H. Maruyama, P. Martinet, H. Moradi, U. Nunes, J. Pettre, A. Pretto, T. Ranzani, A. Ronnau, S. Rossi, E. Rouse, F. Ruggiero, O. Simonin, D. Wang, M. Yang, E. Yoshida ... H. Zhao (red.), IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings (s. 10556-10563). IEEE. https://doi.org/10.1109/IROS60139.2025.11246312
Vindbjerg, L. K. & Esterle, L. (2024). Generative Models for Temporal-based Task Definition. 109-114. Afhandling præsenteret på 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems. https://doi.org/10.1109/ACSOS-C63493.2024.00040
Pham, X. H., Bozcan, I., Sarabakha, A., Haddadin, S. & Kayacan, E. (2021). GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing. 4176-4183. Afhandling præsenteret på 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, Prag, Tjekkiet. https://doi.org/10.1109/IROS51168.2021.9636207
Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15
Pham, H. X. & Kayacan, E. (2025). FROST: Fusion and Multimodal 3D Reconstruction of Icy Surfaces for Robotic Exploration. I 2025 IEEE Symposium on Computational Intelligence on Engineering/Cyber Physical Systems Companion, CIES Companion 2025 IEEE. https://doi.org/10.1109/CIESCompanion65073.2025.11010821
Wu, S., Deng, S., Wei, X., Asif, M. R., Vignoli, G. & Farquharson, C. G. (2025). Frontiers in electromagnetic geophysics - Introduction. Geophysics, 90(3), WAi-WAii. https://doi.org/10.1190/geo2025-0312-spseintro.1
Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster-session præsenteret på IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828
Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3