Publications

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(2024). A Deep Active Learning Framework for Crack Detection in Digital Images of Paintings. SMAR 2024.

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(2024). Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. EUSIPCO 2024.

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(2023). Smoothed Separable Nonnegative Matrix Factorization. Linear Algebra and its Applications.

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(2023). Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO 2023.

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(2023). Exact and Heuristic Methods for Simultaneous Sparse Coding. EUSIPCO 2023.

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(2022). Matrix-wise L0-constrained Sparse Nonnegative Least Squares. Machine Learning.

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(2022). Randomized Successive Projection Algorithm. GRETSI 2022.

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(2022). Sparsity and Nonnegativity in Least Squares Problems and Matrix Factorizations. PhD Thesis.

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(2021). Exact Biobjective k-Sparse Nonnegative Least Squares. EUSIPCO 2021.

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(2020). Sparse Separable Nonnegative Matrix Factorization. ECMLPKDD 2020.

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(2020). Exact Sparse Nonnegative Least Squares. ICASSP 2020.

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(2019). Mining skypatterns in fuzzy tensors. Data Mining and Knowledge Discovery.

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(2018). Mining High-Utility Patterns in Uncertain Tensors. KES’18.

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