Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMsby Md Ahsanul Kabir,…
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval…
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumptionby Shourya Bose,…
A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Seriesby Lucas…
Transformers with Sparse Attention for Granger Causalityby Riya Mahesh, Rahul Vashisht, Chandrashekar LakshminarayananFirst submitted to…
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Seriesby…
Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysisby Kazi Hasibul Kabir, Md. Zahiruddin…
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Databy…
Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classificationby Mingsen Du, Meng Chen, Yongjian…
ST-Tree with Interpretability for Multivariate Time Series Classificationby Mingsen Du, Yanxuan Wei, Yingxia Tang, Xiangwei…