Nicolas Nadisic

20 papers B 1Misc 1Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unmixing microinfrared spectroscopic images of cross-sections of historical oil paintings. CoRR Shivam Pande, Nicolas Nadisic, Francisco Mederos-Henry, Aleksandra Pizurica
2025	—	`conf`	Generalized Category Discovery in Hyperspectral Images Via Prototype Subspace Modeling. EUVIP Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
2025	J	`jnl`	Generalized Category Discovery in Hyperspectral Images via Prototype Subspace Modeling. CoRR Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
2025	J	`jnl`	Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering. CoRR Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
2025	J	`jnl`	Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images. CoRR Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
2025	—	`conf`	Semi-Supervised Deep Subspace Clustering for Hyperspectral Images. EUVIP Thomas Delaeter, Xianlu Li, Nicolas Nadisic, Aleksandra Pizurica
2024	—	`conf`	Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. EUSIPCO Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
2024	J	`jnl`	Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. CoRR Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
2023	—	`conf`	Exact and Heuristic Methods for Simultaneous Sparse Coding. EUSIPCO Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic
2023	—	`conf`	Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
2023	J	`jnl`	OsmLocator: locating overlapping scatter marks with a non-training generative perspective. CoRR Yuming Qiu, Aleksandra Pizurica, Qi Ming, Nicolas Nadisic
2022	J	`jnl`	Matrix-wise ℓ Mach. Learn. Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis
2021	—	`conf`	Exact Biobjective k-Sparse Nonnegative Least Squares. EUSIPCO Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen
2021	J	`jnl`	Smoothed Separable Nonnegative Matrix Factorization. CoRR Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo
2020	J	`jnl`	A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. CoRR Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
2020	Misc	`conf`	Exact Sparse Nonnegative Least Squares. ICASSP Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen
2020	—	`conf`	Sparse Separable Nonnegative Matrix Factorization. ECML/PKDD (1) Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis
2020	J	`jnl`	Sparse Separable Nonnegative Matrix Factorization. CoRR Nicolas Nadisic, Arnaud Vandaele, Jérémy E. Cohen, Nicolas Gillis
2019	J	`jnl`	Mining skypatterns in fuzzy tensors. Data Min. Knowl. Discov. Nicolas Nadisic, Aurélien Coussat, Loïc Cerf
2018	B	`conf`	Mining High-Utility Patterns in Uncertain Tensors. KES Aurélien Coussat, Nicolas Nadisic, Loïc Cerf