Author

Md. Saiful Bari Siddiqui

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#artificial intelligence Book Open access Sep 2025

Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN - XGBoost Ensemble

This work developed a lightweight, custom 1D Convolutional Neural Network to efficiently learn predictive sequence motifs from high-dimensional SNP data, and demonstrates that fusing a sequence-aware 1D CNN with a feature-based XGBoost model creates a powerful ensemble, overcoming the limitations of using either an ord...

Md. Saiful Bari Siddiqui, Nowshin Tarannum · bioRxiv · 2 citations · ⚡1

#artificial intelligence Conference Open access Sep 2025

AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification

Fusing complementary representations provides a strong inductive bias, enabling the creation of efficient, generalizable classifiers without requiring large-scale pre-training.

Md. Saiful Bari Siddiqui, Utsab Saha · IEEE International Conferenc... · 0 citations

#artificial intelligence Open access Nov 2024

DUA-D2C: Dynamic uncertainty aware method for overfitting remediation in deep learning

This study establishes DUA-D2C as a theoretically grounded and effective approach to combating overfitting in modern deep learning, analytically demonstrating how dynamic parameter fusion reduces model variance.

Md. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam · Complex & Intelligent System... · 0 citations