:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Moayedikia, Alireza, Fin, Sara
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2512.17276
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dual Model Deep Learning for Alzheimer Prognostication
par: Moayedikia, Alireza, et autres
Publié: (2025)

Bridging Training and Merging Through Momentum-Aware Optimization
par: Moayedikia, Alireza, et autres
Publié: (2025)

Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Alzheimer's Prediction
par: Moayedikia, Alireza, et autres
Publié: (2026)

Multi-Sensor Attention Networks for Automated Subsurface Delamination Detection in Concrete Bridge Decks
par: Moayedikia, Alireza, et autres
Publié: (2025)

LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification
par: Andrews, Thomas, et autres
Publié: (2025)

The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
par: Amin, Fin, et autres
Publié: (2024)

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks
par: Ding, Jun-En, et autres
Publié: (2025)

Can Low-Rank Knowledge Distillation in LLMs be Useful for Microelectronic Reasoning?
par: Rouf, Nirjhor, et autres
Publié: (2024)

Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
par: Spooner, Annette, et autres
Publié: (2022)

An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging
par: Jamshidiha, Saeed, et autres
Publié: (2025)

Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
par: Zhang, Jing, et autres
Publié: (2025)

FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
par: Girolimetto, Daniele, et autres
Publié: (2026)

LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
par: Shao, Mingchen, et autres
Publié: (2026)

Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
par: Peddi, Pranay Kumar, et autres
Publié: (2025)

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
par: Sharshar, Ahmed, et autres
Publié: (2025)

Multi Scale Graph Neural Network for Alzheimer's Disease
par: Chauhan, Anya, et autres
Publié: (2024)

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease
par: Kumar, Sayantan, et autres
Publié: (2021)

The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian Networks
par: Lixandru, Andrei
Publié: (2025)

Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction
par: Hu, Xinyue, et autres
Publié: (2023)

Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's Network
par: Teji, Binon, et autres
Publié: (2026)

Can an Actor-Critic Optimization Framework Improve Analog Design Optimization?
par: Dutta, Sounak, et autres
Publié: (2026)

Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
par: Mahdavi, Hamed, et autres
Publié: (2025)

Curriculum Negative Mining For Temporal Networks
par: Chen, Ziyue, et autres
Publié: (2024)

PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease
par: Liu, Chenyu, et autres
Publié: (2025)

Evaluating Echo State Network for Parkinson's Disease Prediction using Voice Features
par: Hosseininian, Seyedeh Zahra Seyedi, et autres
Publié: (2024)

Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook
par: Xue, Jiawei, et autres
Publié: (2025)

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
par: Xu, Yichu, et autres
Publié: (2024)

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
par: Tang, Jingfeng, et autres
Publié: (2026)

Assessing the significance of longitudinal data in Alzheimer's Disease forecasting
par: Karaman, Batuhan K., et autres
Publié: (2024)

Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
par: Ali, Raja Farrukh, et autres
Publié: (2024)

fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
par: Aghaei, Alireza Afzal
Publié: (2024)

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data
par: Qi, Yijiashun, et autres
Publié: (2025)

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
par: Chen, Ruiying, et autres
Publié: (2026)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
par: Ding, Yilang, et autres
Publié: (2025)

Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
par: Bagheri, Abdolmahdi, et autres
Publié: (2023)

Can ChatGPT Diagnose Alzheimer's Disease?
par: Nguyen, Quoc-Toan, et autres
Publié: (2025)

Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
par: Li, Mingyang, et autres
Publié: (2024)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
par: He, Zhe, et autres
Publié: (2022)

Visiting Distant Neighbors in Graph Convolutional Networks
par: Hashemi, Alireza, et autres
Publié: (2023)

Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks
par: Khodamoradi, Alireza, et autres
Publié: (2024)