  | Nadisic, N., Cohen, J. E., Vandaele, A., & Gillis, N. (10 October 2022). Matrix-wise ℓ0-constrained Sparse Nonnegative Least Squares. Machine Learning, 111, 4453-4495. doi:10.1007/s10994-022-06260-2  Peer Reviewed verified by ORBi |
 | Vu thanh, O., Nadisic, N., & Gillis, N. (05 September 2022). Randomized Successive Projection Algorithm [Paper presentation]. Colloque GRETSI. Peer reviewed |
 | Nadisic, N. (2022). Sparsity and Nonnegativity in Least Squares Problems and Matrix Factorizations [Doctoral thesis, UMONS - Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/49820 |
 | Nadisic, N., Vandaele, A., Gillis, N., & Cohen, J. E. (2021). Exact biobjective k-sparse nonnegative least squares. European Signal Processing Conference. doi:10.23919/EUSIPCO54536.2021.9616202 Peer reviewed |
 | Nadisic, N., Vandaele, A., Cohen, J. E., & Gillis, N. (2020). Sparse Separable Nonnegative Matrix Factorization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. doi:10.1007/978-3-030-67658-2_20 Peer reviewed |
 | Nadisic, N., Vandaele, A., Gillis, N., & Cohen, J. E. (2020). Exact Sparse Nonnegative Least Squares. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. Peer reviewed |