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Text-RGNNs: Relational Modeling for Heterogeneous Text Graphs

Happy to share our latest paper titled “Text-RGNNs: Relational Modeling for Heterogeneous Text Graphs” published in IEEE Signal Processing Letters! Building on the foundational Text-graph convolutional Network (TextGCN), which represents corpus with heterogeneous text graphs, we addressed a key limitation: GCNs are inherently designed to operate within homogeneous graphs, potentially limiting their performance. To overcome […]

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UMRAM/NSC-ASBAM Bahar 2024 Seminerleri: ”Complex computations in tiny brains – stereoscopic vision in insects”

Dr. Ronny Rosner  Johannes Gutenberg-Universität Mainz, Germany   Tarih/Zaman: Thursday, 30 May 2024, 16:30 Yer: SC106 (UMRAM) Most insect brains surpass any man-made control system in their ability to autonomously orient within 3D space. Moreover, although insects are evolutionarily distant from vertebrates, studying their more accessible brains can hold profound implications for understanding fundamental neural […]

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Wiener Filtering in Joint Time-Vertex Fractional Fourier Domains

We are excited to share our latest work on joint time-vertex signal processing published in IEEE Signal Processing Letters! In this paper, we explore the complexities of time-varying graph signals and how they can be more efficiently processed using the joint time-vertex framework. Traditionally, separating signal from noise in these structures has posed significant challenges. […]

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UMRAM/NSC-ASBAM Bahar 2024 Seminerleri: “Zero to ultralow-field NMR and MRI with optically pumped magnetometers”

Dr. Deniz Aybas Tumturk Bilkent Üniversitesi Tarih/Zaman: Perşembe, 18 Nisan 2024, 16:30-17:30 Yer: SC-106 Özet: We use optically pumped alkali atoms near room-temperature to measure perturbations in the local magnetic fields. These perturbations can be sourced from astrophysical particles that have magnetic signatures, or from nuclear magnetic resonance (NMR) signals of liquid or solid samples. Optically […]

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UMRAM/NSC-ASBAM Bahar 2024 Seminerleri: “Intelligent Physics-Driven Technologies for Inverse Problems in MRI”

Dr. Mehmet Akcakaya University of Minnesota, USA Tarih/Zaman: Tuesday, 26 March 2024, 17:30-18:30 (Time in Türkiye) Zoom Link: https://zoom.us/j/94655579979 Özet: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, reconstruction and acquisition techniques for rapid imaging, noise reduction and improved data acquisition have received great interest. Each […]

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