no code implementations • 4 Apr 2023 • Zbyněk Koldovský, Jaroslav Čmejla, Tülay Adalı, Stephen O'Regan
In this paper, we propose a mixing model for joint blind source extraction where the mixing model parameters are linked across the frequencies.
no code implementations • 2 Dec 2022 • Jaroslav Čmejla, Zbyněk Koldovský, Václav Kautský, Tülay Adalı
We derive a lower bound on the achievable mean interference-to-signal ratio (ISR) based on the Cram\'er-Rao theory.
no code implementations • 25 Nov 2022 • Ricardo Augusto Borsoi, Isabell Lehmann, Mohammad Abu Baker Siddique Akhonda, Vince Calhoun, Konstantin Usevich, David Brie, Tülay Adalı
Discovering components that are shared in multiple datasets, next to dataset-specific features, has great potential for studying the relationships between different subjects or tasks in functional Magnetic Resonance Imaging (fMRI) data.
1 code implementation • 4 Oct 2021 • Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adalı, Rasmus Bro, Jeremy E. Cohen, Evrim Acar
We also apply our model to two real-world datasets from neuroscience and chemometrics, and show that constraining the evolving mode improves the interpretability of the extracted patterns.
no code implementations • 1 Jun 2020 • Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adalı
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic.
1 code implementation • 23 Oct 2019 • Marie Roald, Suchita Bhinge, Chunying Jia, Vince Calhoun, Tülay Adalı, Evrim Acar
For instance, how spatial networks of functional connectivity in the brain evolve during a task is not well-understood.
no code implementations • 7 Dec 2016 • Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adalı
Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide information about neurological functions in complementary spatiotemporal resolutions; therefore, fusion of these modalities is expected to provide better understanding of brain activity.
no code implementations • 29 Aug 2015 • Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adalı, Shengli Xie, Andrzej Cichocki
With the increasing availability of various sensor technologies, we now have access to large amounts of multi-block (also called multi-set, multi-relational, or multi-view) data that need to be jointly analyzed to explore their latent connections.
no code implementations • 29 Mar 2013 • Matthew Anderson, Geng-Shen Fu, Ronald Phlypo, Tülay Adalı
Thus, we provide the additional conditions for when the arbitrary ordering of the sources within each dataset is common.