| Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots M Turan, YY Pilavci, I Ganiyusufoglu, H Araujo, E Konukoglu, M Sitti Machine Vision and Applications 29, 345-359, 2018 | 49 | 2018 |
| Graph tikhonov regularization and interpolation via random spanning forests YY Pilavcı, PO Amblard, S Barthelmé, N Tremblay IEEE transactions on Signal and Information Processing over Networks 7, 359-374, 2021 | 23 | 2021 |
| Smoothing graph signals via random spanning forests YY Pilavci, PO Amblard, S Barthelme, N Tremblay ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems YY Pilavcı, PO Amblard, S Barthelmé, N Tremblay 2022 30th European Signal Processing Conference (EUSIPCO), 1771-1775, 2022 | 8 | 2022 |
| Spectral graph wavelet transform as feature extractor for machine learning in neuroimaging YY Pilavci, N Farrugia ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 6 | 2019 |
| Variance Reduction for Inverse Trace Estimation via Random Spanning Forests YY Pilavci, PO Amblard, S Barthelme, N Tremblay arXiv preprint arXiv:2206.07421, 2022 | 5 | 2022 |
| Graph domain adaptation with localized graph signal representations YY Pilavcı, ET Güneyi, C Cengiz, E Vural Pattern Recognition, 110628, 2024 | 2 | 2024 |
| Random spanning forests: theory and applications YY PILAVCI Politecnico di Milano, 2018 | 2 | 2018 |
| Algorithme de Wilson pour l'Algèbre Linéaire Randomisée YY Pilavci Université Grenoble Alpes, 2022 | 1 | 2022 |
| What can we Compute With Kirchhoff Forests? N Tremblay, YY Pilavci, S Barthelme, PO Amblard GSP 2023-6th Graph Signal Processing workshop (GSP 2023), 2023 | | 2023 |
