Ioakeim Perros
Computational Mathematics · 2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Mathematics — 15 citations into it
Whom Ioakeim Perros trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jingu Kim
- Joyce Ho
- Brett W. Bader
- Tamara G. Kolda
- Andrzej S. Cichocki
- Haesun Park
- Joydeep Ghosh
- Jimeng Sun
- Anh Huy Phan
Papers from Ioakeim Perros's perspective
Ordered by how strongly the researchers Ioakeim Perros trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning the parts of objects by non-negative matrix factorization
- Multi-Way Analysis: Applications in the Chemical Sciences
- Efficient MATLAB Computations with Sparse and Factored Tensors (SIAM Journal on Scientific Computing)
- Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations (IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences)
- PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
- The Expression of a Tensor or a Polyadic as a Sum of Products
- Orthogonal nonnegative matrix t-factorizations for clustering (Knowledge Discovery and Data Mining)
- Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
- Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons (SIAM Journal on Scientific Computing)
- Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework (Journal of Global Optimization)
Their papers
- SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping (2018) — 589 citations
- COPA: Constrained PARAFAC2 for Sparse & Large Datasets (2018) — 47 citations