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Conference Open access Aug 2026

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification

Multivariate Time Series Classification (MTSC) demands models that can effectively capture complex temporal patterns across multiple scales while remaining computationally efficient. However, existing approaches generally struggle to reconcile fine-grained representation learning, especially under class imbalance and r...

Ping-Ping Liu, Mu-Yao Wang, Zi-Jian Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting

Despite recent progress in irregular time series forecasting, the field still lacks a unified benchmark for fair and comprehensive evaluation. Existing evaluations are often conducted on a limited set of datasets with inconsistent experimental protocols and predominantly error-based metrics, rendering it difficult to c...

Kang-Jia Yan, Lin-Feng Wang, Tian Shen et al. · 0 citations

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