Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Nicholas D. Sidiropoulos"'
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Abstract The biological processes involved in a drug’s mechanisms of action are oftentimes dynamic, complex and difficult to discern. Time-course gene expression data is a rich source of information that can be used to unravel these complex process
Externí odkaz:
https://doaj.org/article/b3dd2f2679eb403a819f0f7935576ae9
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-13
Publikováno v:
IEEE Transactions on Communications. 70:8167-8180
Publikováno v:
IEEE Transactions on Wireless Communications. 21:9990-10004
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Aritra Konar, Nicholas D. Sidiropoulos
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4075-4082
We introduce the triangle-densest-K-subgraph problem (TDKS) for undirected graphs: given a size parameter K, compute a subset of K vertices that maximizes the number of induced triangles. The problem corresponds to the simplest generalization of the
Autor:
Aritra Konar, Nicholas D. Sidiropoulos
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2200-2211
Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms
Publikováno v:
IEEE Transactions on Signal Processing. 70:4321-4336
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:365-378
Tensor factorization methods have recently gained increased popularity. A key feature that renders tensors attractive is the ability to directly model multi-relational data. In this work, we propose ParaSketch, a parallel tensor factorization algorit
Autor:
Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosini Papadaki
Publikováno v:
IEEE Transactions on Image Processing. 31:4011-4022
Functional magnetic resonance imaging (fMRI) is one of the most popular methods for studying the human brain. Task-related fMRI data processing aims to determine which brain areas are activated when a specific task is performed and is usually based o