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
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
Ärje, J., Raitoharju, J.
, Iosifidis, A., Tirronen, V., Meissner, K., Gabbouj, M., Kiranyaz, S. & Kärkkäinen, S. (2020).
Human experts vs. machines in taxa recognition.
Signal Processing: Image Communication,
87, Article 115917.
https://doi.org/10.1016/j.image.2020.115917
Kouskouridas, R., Belagiannis, V., Gasteratos, A., Kyriakoulis, N., Chrysostomou, D.
, Iosifidis, A., Karakasis, E., Badekas, E. & G. Mouroutsos, S. (2009).
Intelligent Integrated Vision System for Indoor Robotics Applications. In
5th National and International HSSS Conference https://www.researchgate.net/publication/265225992_Intelligent_Integrated_Vision_System_for_Indoor_Robotics_Applications
Laakom, F., Raitoharju, J., Nikkanen, J.
, Iosifidis, A. & Gabbouj, M. (2021).
INTEL-TAU: A Color Constancy Dataset.
IEEE Access,
9, 39560-39567. Article 9371681.
https://doi.org/10.1109/ACCESS.2021.3064382
Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021).
Introduction to Digital Twin Engineering. 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/ANNSIM52504.2021.9552135
Riabchenko, E., Meissner, K., Ahmad, I.
, Iosifidis, A., Tirronen, V., Gabbouj, M. & Kiranyaz, S. (2016).
Learned vs. Engineered Features for Fine-Grained Classification of Aquatic Macroinvertebrates. In
2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 2276-2281). Article 7899975 IEEE.
https://doi.org/10.1109/ICPR.2016.7899975
Laakom, F., Raitoharju, J.
, Iosifidis, A. & Gabbouj, M. (2023).
Learning Distinct Features Helps, Provably. In D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (Eds.),
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (pp. 206-222). Springer.
https://doi.org/10.1007/978-3-031-43415-0_13
Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2011).
Learning Human Identity Using View-Invariant Multi-view Movement Representation. In C. Vielhauer, J. Dittmann, A. Drygajlo, N. C. Juul & M. C. Fairhurst (Eds.),
Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings (pp. 217-226). Springer.
https://doi.org/10.1007/978-3-642-19530-3_20