Wagner, S. R., Gregersen, R. R., Henriksen, L.
, Hauge, E. M. & Keller, K. K. (2022).
Smartphone Pedometer Sensor Application for Evaluating Disease Activity and Predicting Comorbidities in Patients with Rheumatoid Arthritis: A Validation Study.
Sensors,
22(23), Article 9396.
https://doi.org/10.3390/s22239396
Villa-Henriksen, A., Skou-Nielsen, N.
, Munkholm, L. J., Sørensen, C. A. G., Green, O. & Edwards, G. T. C. (2021).
Infield optimized route planning in harvesting operations for risk of soil compaction reduction.
Soil Use and Management,
37(4), 810-821.
https://doi.org/10.1111/sum.12654
Vestergaard, R., Pagnin, E., Kundu, R.
& Lucani, D. E. (2022).
Secure Cloud Storage with Joint Deduplication and Erasure Protection. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (Eds.),
2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (pp. 554-563). IEEE.
https://doi.org/10.1109/CLOUD55607.2022.00078
Vang, M., Grombacher, D., Griffiths, M. P., Liu, L. & Larsen, J. J. (2023).
Technical note: High-density mapping of regional groundwater tables with steady-state surface nuclear magnetic resonance - three Danish case studies.
Hydrology and Earth System Sciences,
27(16), 3115-3124.
https://doi.org/10.5194/hess-27-3115-2023
Ulsig, E. Z., Linnet Madsen, M., Stanton, E. J., Venkatarama Reddy, D.
, Degli-Eredi, I., Mirin, R.
& Volet, N. (2023).
Single-photon downconversion in GaAs, AlGaAs and InGaP-on-insulator.
IEEE Photonics Conference (IPC) - Proceedings.
https://doi.org/10.1109/IPC57732.2023.10360732
Ulsig, E. Z., Stanton, E. J., Reddy, D. V., Shalm, K.
, Volet, N. & Mirin, R. (2023).
Correlated Photon Pairs Obtained by SPDC in AlGaAs-OI Waveguides. In
Quantum 2.0 (pp. QTh4C-2)
https://doi.org/10.1364/QUANTUM.2023.QTh4C.2
Tran, D. T., Yamac, M., Degerli, A., Gabbouj, M.
& Iosifidis, A. (2021).
Multilinear compressive learning.
IEEE Transactions on Neural Networks and Learning Systems,
32(4), 1512-1524. Article 9070152.
https://doi.org/10.1109/TNNLS.2020.2984831
Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M.
& Iosifidis, A. (2022).
Attention-Based Neural Bag-of-Features Learning for Sequence Data.
IEEE Access,
10, 45542-45552.
https://doi.org/10.1109/ACCESS.2022.3169776
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
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
Tola, D., Madsen, E., Gomes, C., Esterle, L., Schlette, C., Hansen, C.
& Larsen, P. G. (2022).
Towards Easy Robot System Integration: Challenges and Future Directions. In
2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 77-82). IEEE.
https://doi.org/10.1109/SII52469.2022.9708846