:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Nasif, Sadman Mohammad, Jahin, Md Abrar, Mridha, M. F.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2508.16915
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
por: Soudeep, Shahriar, et al.
Publicado: (2024)

KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
por: Jahin, Md Abrar, et al.
Publicado: (2024)

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems
por: Jahin, Md Abrar, et al.
Publicado: (2025)

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
por: Jahin, Md Abrar, et al.
Publicado: (2026)

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
por: Jahin, Md Abrar, et al.
Publicado: (2024)

Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems
por: Jahin, Md Abrar, et al.
Publicado: (2025)

Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
por: Jahin, Md Abrar, et al.
Publicado: (2024)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
por: Jahin, Md Abrar, et al.
Publicado: (2025)

Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
por: Jahin, Md Abrar, et al.
Publicado: (2024)

DyCAF-Net: Dynamic Class-Aware Fusion Network
por: Jahin, Md Abrar, et al.
Publicado: (2025)

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
por: Jahin, Md Abrar, et al.
Publicado: (2025)

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
por: Jahin, Md Abrar, et al.
Publicado: (2024)

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
por: Jahin, Md Abrar, et al.
Publicado: (2024)

A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors
por: Jahin, Md Abrar, et al.
Publicado: (2023)

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
por: Jahin, Md Abrar, et al.
Publicado: (2023)

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
por: Jahin, Md Abrar, et al.
Publicado: (2025)

A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
por: Jahin, Md Abrar, et al.
Publicado: (2024)

Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
por: Jahin, Md Abrar, et al.
Publicado: (2023)

Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
por: Kabir, Md Ahsanul, et al.
Publicado: (2025)

HyperQ-Opt: Q-learning for Hyperparameter Optimization
por: Hasan, Md. Tarek
Publicado: (2024)

Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select
por: Masud, Md. Akmol, et al.
Publicado: (2025)

Shapley Value-Guided Adaptive Ensemble Learning for Explainable Financial Fraud Detection with U.S. Regulatory Compliance Validation
por: Uddin, Mohammad Nasir, et al.
Publicado: (2026)

A Unified Framework for Evaluating and Enhancing the Transparency of Explainable AI Methods via Perturbation-Gradient Consensus Attribution
por: Islam, Md. Ariful, et al.
Publicado: (2024)

Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection
por: Liu, Jiaxun, et al.
Publicado: (2024)

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
por: Wang, Yiran, et al.
Publicado: (2024)

Graph Neural Networks for Financial Fraud Detection: A Review
por: Cheng, Dawei, et al.
Publicado: (2024)

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
por: Schreuder, Arné, et al.
Publicado: (2023)

HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
por: Gornet, Jonathan, et al.
Publicado: (2025)

Financial Fraud Detection using Quantum Graph Neural Networks
por: Innan, Nouhaila, et al.
Publicado: (2023)

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
por: Rahman, Md. Mahfuzur, et al.
Publicado: (2024)

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
por: Almalki, Fahad, et al.
Publicado: (2025)

Quantum Topological Graph Neural Networks for Detecting Complex Fraud Patterns
por: Doost, Mohammad, et al.
Publicado: (2025)

Financial Fraud Detection using Jump-Attentive Graph Neural Networks
por: Kadam, Prashank
Publicado: (2024)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
por: Innan, Nouhaila, et al.
Publicado: (2024)

Integration of Programmable Diffraction with Digital Neural Networks
por: Rahman, Md Sadman Sakib, et al.
Publicado: (2024)

Analysis of Internet of Things Implementation Barriers in the Cold Supply Chain: An Integrated ISM-MICMAC and DEMATEL Approach
por: Ahmad, Kazrin, et al.
Publicado: (2024)

Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students
por: Saha, Anik Kumar, et al.
Publicado: (2024)

Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study
por: Uddin, Mohammad Shihab, et al.
Publicado: (2026)

On Optimizing Hyperparameters for Quantum Neural Networks
por: Herbst, Sabrina, et al.
Publicado: (2024)

HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
por: Wever, Marcel, et al.
Publicado: (2025)