Cedric Bonhomme
1 indexed paper
Recent (6 mo)
1With code
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126
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Crypto×1
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2026
Modeling Sparse and Bursty Vulnerability Sightings: Forecasting Under Data Constraints
The paper investigates forecasting sparse and bursty vulnerability sightings, concluding that traditional time-series models like SARIMAX are inadequate, and count-based methods like Poisson regression offer more stable and interpretable alternatives.
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