Signal Interference Cancellation for SMILES-2026. This Python solution uses Rank-1 SVD and Nonlinear modeling, outperforming the baseline by 141% (9.69 dB vs. 4.02 dB)
GCE framework for interpretable modeling in cardiac sarcoma survival using machine and deep learning. It captures complex feature relationships to enhance predictive insights and clinical understanding.
Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.
House price prediction on the housing dataset: regularized regression, nonlinear feature modeling, and deep learning
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