S. Rackovic, D. Jakovetic, C. Soares, “Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation,” SIGGRAPH Asia 2024 Conference Papers, 45, 1-9, (2024)
F. Metelo, C. Soares, S. Racković, P.A. Costa, “PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning,” Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Cham: Springer Nature Switzerland, (2024)
F. Valdeira, S. Racković, V. Danalachi, Q. Han, C. Soares, “Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata,” arXiv preprint arXiv:2308.11022, (2023).
S. Racković, C. Soares, D. Jakovetić, Z. Desnica, “A majorization–minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation,” Optimization Letters (2023): 1-15.
S. Racković, C. Soares, D. Jakovetić, Z. Desnica, “Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms,” arXiv preprint arXiv:2302.04843, (2023).
S. Racković, C. Soares, D. Jakovetić, “Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation,” SIGGRAPH Asia 2023, Technical Communications, 24, 1-4, (2023).
S. Racković, C. Soares, D. Jakovetić, Z. Desnica, “High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model,” arXiv preprint arXiv:2302.04820 (2023).
G. Malaspina, S. Rackovic, and F. Valdeira, “A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel,” Journal of Mathematics in Industry, vol. 13, 2023
S. Racković, C. Soares, D. Jakovetić, Z. Desnica and R. Ljubobratović, “Clustering of the Blendshape Facial Model,” 2021 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, 2021, pp. 1556-1560, doi: 10.23919/EUSIPCO54536.2021.9616061.