:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kamalov, Firuz, Falasi, Mohmad Al, Thabtah, Fadi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.17491
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Path-Sampled Integrated Gradients
by: Kamalov, Firuz, et al.
Published: (2026)

Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case
by: Kurniawan, Febrian, et al.
Published: (2024)

Theoretical Convergence of SMOTE-Generated Samples
by: Kamalov, Firuz, et al.
Published: (2026)

NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
by: Machot, Fadi Al, et al.
Published: (2025)

A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
by: Al-Qudah, Mohammed, et al.
Published: (2025)

Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification
by: Park, Youngjoon
Published: (2026)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
by: Alharbi, Fadi, et al.
Published: (2024)

Enhancing Visual Feature Attribution via Weighted Integrated Gradients
by: Tuan, Kien Tran Duc, et al.
Published: (2025)

Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
by: Hölzl, Florian A., et al.
Published: (2025)

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
by: Mustafa, Yasmine, et al.
Published: (2024)

QuickBind: A Light-Weight And Interpretable Molecular Docking Model
by: Treyde, Wojtek, et al.
Published: (2024)

A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
by: Bi, Jingjun, et al.
Published: (2025)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
by: Dey, Aditya, et al.
Published: (2025)

Hierarchical Job Classification with Similarity Graph Integration
by: Kabir, Md Ahsanul, et al.
Published: (2025)

Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient
by: Li, Changming, et al.
Published: (2026)

Path Gradients after Flow Matching
by: Vaitl, Lorenz, et al.
Published: (2025)

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
by: Alharbi, Fadi, et al.
Published: (2024)

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
by: Ren, Yuchen, et al.
Published: (2024)

Uncertainty Weighted Gradients for Model Calibration
by: Lin, Jinxu, et al.
Published: (2025)

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data
by: Alharbi, Fadi, et al.
Published: (2025)

Personalized Interpretable Classification
by: He, Zengyou, et al.
Published: (2023)

Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
by: Karunanayake, Ishan, et al.
Published: (2024)

Gradient based Severity Labeling for Biomarker Classification in OCT
by: Kokilepersaud, Kiran, et al.
Published: (2026)

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation
by: Maroun, Gaby, et al.
Published: (2025)

Motor Imagery Classification Using Feature Fusion of Spatially Weighted Electroencephalography
by: Shiam, Abdullah Al, et al.
Published: (2025)

Fast and Unified Path Gradient Estimators for Normalizing Flows
by: Vaitl, Lorenz, et al.
Published: (2024)

Path-Based Gradient Boosting for Graph-Level Prediction
by: Meggio, Claudio, et al.
Published: (2026)

Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control
by: Saini, Harshvardhan, et al.
Published: (2026)

Cybercrime Prediction via Geographically Weighted Learning
by: Khan, Muhammad Al-Zafar, et al.
Published: (2024)

Implicit Regularization Paths of Weighted Neural Representations
by: Du, Jin-Hong, et al.
Published: (2024)

Weighted Aggregation of Conformity Scores for Classification
by: Luo, Rui, et al.
Published: (2024)

Can Large Language Models Bridge the Gap in Environmental Knowledge?
by: Smail, Linda, et al.
Published: (2025)

Task Weighting through Gradient Projection for Multitask Learning
by: Bohn, Christian, et al.
Published: (2024)

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
by: Fan, Chongyu, et al.
Published: (2023)

Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons
by: Ali, Mohamad Abou, et al.
Published: (2025)

xEEGNet: Towards Explainable AI in EEG Dementia Classification
by: Zanola, Andrea, et al.
Published: (2025)

Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios
by: Baktheer, Abedulgader, et al.
Published: (2025)

Advanced Unsupervised Learning: A Comprehensive Overview of Multi-View Clustering Techniques
by: Moujahid, Abdelmalik, et al.
Published: (2025)

Adaptive Weighted LSSVM for Multi-View Classification
by: Lighvan, Farnaz Faramarzi, et al.
Published: (2025)

Shared-Weights Extender and Gradient Voting for Neural Network Expansion
by: Chatzis, Nikolas, et al.
Published: (2025)