Search Results - "Karimi, Raika"
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DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Published in Sensors (Basel, Switzerland) (27-03-2022)“…Recent advancements in Electroencephalographic (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain…”
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Journal Article -
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Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Published 02-02-2024“…Temporal Graph Neural Networks have garnered substantial attention for their capacity to model evolving structural and temporal patterns while exhibiting…”
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Journal Article -
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Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
Published 16-09-2024“…Contemporary hardware design benefits from the abstraction provided by high-level logic gates, streamlining the implementation of logic circuits. Logic…”
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Journal Article -
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MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
Published 09-09-2024“…Electronic Design Automation (EDA) is essential for IC design and has recently benefited from AI-based techniques to improve efficiency. Logic synthesis, a key…”
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Journal Article -
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Scalable Graph Self-Supervised Learning
Published 14-02-2024“…In regularization Self-Supervised Learning (SSL) methods for graphs, computational complexity increases with the number of nodes in graphs and embedding…”
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Journal Article -
6
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Published 01-01-2022“…Recent advancements in Electroencephalography (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain…”
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Journal Article -
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Deep Video Canonical Correlation Analysis for Steady State motion Visual Evoked Potential Feature Extraction
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24-01-2021)“…Recently, there has been a surge of interest in development of Brain Computer Interface (BCI) systems based on Steady-State motion-Visual Evoked Potentials…”
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Conference Proceeding -
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Study on Novel Designs with Reduced Fatigue for Steady State Motion Visual Evoked Potentials
Published in 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (01-11-2019)“…The paper focuses on incorporation of Brain Computer Interfacing (BCI) within an Augmented Reality (AR) platform to provide means for individuals with…”
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Conference Proceeding -
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Adaptive Subject-Specific Bayesian Spectral Filtering for Single Trial Eeg Classification
Published in 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (01-11-2019)“…Despite recent advances in signal and information processing, human brain remains the most intriguing signal processing unit with inconceivable abilities to…”
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Conference Proceeding