Copertina

FAIM: Frequency-Aware Interactive Mamba for Time Series Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Da, Li, Bingyu, Zhao, Zhiyuan, Zhang, Yanhan, Gao, Junyu, Nie, Feiping, Li, Xuelong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
di: Zhang, Da, et al.
Pubblicazione: (2025)

UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
di: Zhang, Da, et al.
Pubblicazione: (2025)

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
di: Zhang, Da, et al.
Pubblicazione: (2026)

StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
di: Li, Bingyu, et al.
Pubblicazione: (2024)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
di: Yu, Yongbo, et al.
Pubblicazione: (2024)

Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
di: Li, Bingyu, et al.
Pubblicazione: (2024)

Riemannian Optimization on Relaxed Indicator Matrix Manifold
di: Yuan, Jinghui, et al.
Pubblicazione: (2025)

Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
di: Xie, Fangyuan, et al.
Pubblicazione: (2025)

Adaptive Fuzzy C-Means with Graph Embedding
di: Chen, Qiang, et al.
Pubblicazione: (2024)

Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
di: Nie, Feiping, et al.
Pubblicazione: (2024)

Clustering Based on Density Propagation and Subcluster Merging
di: Nie, Feiping, et al.
Pubblicazione: (2024)

A Greedy Strategy for Graph Cut
di: Nie, Feiping, et al.
Pubblicazione: (2024)

Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
di: Du, Mingsen, et al.
Pubblicazione: (2024)

Robust Capped lp-Norm Support Vector Ordinal Regression
di: Xiang, Haorui, et al.
Pubblicazione: (2024)

FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
di: Li, Bingyu, et al.
Pubblicazione: (2025)

U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation
di: Li, Bingyu, et al.
Pubblicazione: (2024)

SVGen: Interpretable Vector Graphics Generation with Large Language Models
di: Wang, Feiyu, et al.
Pubblicazione: (2025)

MedMamba: Recasting Mamba for Medical Time Series Classification
di: He, ZhengXiao, et al.
Pubblicazione: (2026)

Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
di: Li, Bingyu, et al.
Pubblicazione: (2025)

Exploring the Underwater World Segmentation without Extra Training
di: Li, Bingyu, et al.
Pubblicazione: (2025)

MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment
di: Li, Bingyu, et al.
Pubblicazione: (2025)

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
di: Li, Bingyu, et al.
Pubblicazione: (2026)

Is Mamba Effective for Time Series Forecasting?
di: Wang, Zihan, et al.
Pubblicazione: (2024)

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
di: Liang, Aobo, et al.
Pubblicazione: (2024)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
di: Liu, Mingxuan, et al.
Pubblicazione: (2024)

MambaSL: Exploring Single-Layer Mamba for Time Series Classification
di: Jung, Yoo-Min, et al.
Pubblicazione: (2026)

Multi-class Support Vector Machine with Maximizing Minimum Margin
di: Hao, Zhezheng, et al.
Pubblicazione: (2023)

Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
di: Huang, Yuanmin, et al.
Pubblicazione: (2025)

Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
di: Zhang, Da, et al.
Pubblicazione: (2026)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
di: Zhao, GaoXiang, et al.
Pubblicazione: (2024)

TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
di: Ahamed, Md Atik, et al.
Pubblicazione: (2024)

Graph-Aware Contrasting for Multivariate Time-Series Classification
di: Wang, Yucheng, et al.
Pubblicazione: (2023)

FRWKV+: Adaptive Periodic-Position Branch Interaction for Frequency-Space Linear Time Series Forecasting
di: Yang, Qingyuan, et al.
Pubblicazione: (2026)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
di: Fan, Wei, et al.
Pubblicazione: (2024)

DTMamba : Dual Twin Mamba for Time Series Forecasting
di: Wu, Zexue, et al.
Pubblicazione: (2024)

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
di: Li, Qianyang, et al.
Pubblicazione: (2026)

UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding
di: Zhang, Da, et al.
Pubblicazione: (2025)

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline
di: Li, Bingyu, et al.
Pubblicazione: (2026)

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
di: Qian, Jian, et al.
Pubblicazione: (2024)

A Margin-Maximizing Fine-Grained Ensemble Method
di: Yuan, Jinghui, et al.
Pubblicazione: (2024)