Nicolas Nadisic

According to our database, Nicolas Nadisic authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unmixing microinfrared spectroscopic images of cross-sections of historical oil paintings.

Shivam Pande, Nicolas Nadisic, Francisco Mederos-Henry, Aleksandra Pizurica

CoRR, March, 2026

2025

Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica

CoRR, September, 2025

Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica

CoRR, June, 2025

Generalized Category Discovery in Hyperspectral Images Via Prototype Subspace Modeling.

Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica

Proceedings of the 13th European Workshop on Visual Information Processing, 2025

Semi-Supervised Deep Subspace Clustering for Hyperspectral Images.

Thomas Delaeter, Xianlu Li, Nicolas Nadisic, Aleksandra Pizurica

Proceedings of the 13th European Workshop on Visual Information Processing, 2025

2024

Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images.

Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica

CoRR, 2024

Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

OsmLocator: locating overlapping scatter marks with a non-training generative perspective.

Yuming Qiu, Aleksandra Pizurica, Qi Ming, Nicolas Nadisic

CoRR, 2023

Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica

Proceedings of the 31st European Signal Processing Conference, 2023

Exact and Heuristic Methods for Simultaneous Sparse Coding.

Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Matrix-wise ℓ ₀-constrained sparse nonnegative least squares.

Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis

Mach. Learn., 2022

2021

Smoothed Separable Nonnegative Matrix Factorization.

Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo

CoRR, 2021

Exact Biobjective k-Sparse Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen

Proceedings of the 29th European Signal Processing Conference, 2021

2020

A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis

CoRR, 2020

Sparse Separable Nonnegative Matrix Factorization.

Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Exact Sparse Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Mining skypatterns in fuzzy tensors.

Nicolas Nadisic, Aurélien Coussat, Loïc Cerf

Data Min. Knowl. Discov., 2019

2018

Mining High-Utility Patterns in Uncertain Tensors.

Aurélien Coussat, Nicolas Nadisic, Loïc Cerf

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018