A scalable framework harmonizes spatial and temporal representations via low-rank spatial compression and extended temporal horizons to reduce prediction uncertainty in large-scale spatiotemporal tasks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Autonomous agents sustain positive engagement lift in marketing personalization over time following initial human oversight in a real-world 11-month case study.
citing papers explorer
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Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
A scalable framework harmonizes spatial and temporal representations via low-rank spatial compression and extended temporal horizons to reduce prediction uncertainty in large-scale spatiotemporal tasks.
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Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case Study
Autonomous agents sustain positive engagement lift in marketing personalization over time following initial human oversight in a real-world 11-month case study.