1 citations · 1 across the 5 of their papers we have counts for
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Siam-ALS: An Explainable Siamese Deep Learning Framework for Early ALS Detection Using EEG and Eye-Tracking Signals
Abdur Rahman, A. A. M. Muzahid, Istiak Ahmed +4
Amyotrophic lateral sclerosis (ALS) diagnosis remains challenging due to heterogeneous symptoms and reliance on clinical assessment, underscoring the need for objective, data-drive…
CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning
Fangping Lan, Qi Zhang, Eduard Dragut
Modern DBMSs expose hundreds of configuration knobs, resulting in a high-dimensional and heterogeneous search space that makes automated tuning costly. Existing ML-based tuning sys…
Extinction and extinguishment properties for a nonlinear predator-prey branching model
Lina Ji, Jie Xiong, Wen Xu +1
We study extinction and extinguishment in a two-type continuous-state nonlinear branching model driven by Brownian branching noise and spectrally positive stable jumps. The populat…
Strong uniqueness and large deviation principle for mutually catalytic super Markov chains
Jie Xiong, Wen Xu
In this paper, we study the strong uniqueness problem for the mutually catalytic super-Markov chain, which is a two-dimensional degenerate stochastic differential equation with Höl…
Pathwise uniqueness for degenerate stochastic differential equations with Hölder continuous coefficients
Jie Xiong, Wen Xu
We study pathwise uniqueness for cyclic catalytic stochastic differential equations whose state-dependent square-root diffusion coefficients are non-Lipschitz and degenerate on the…