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cs.LG2026
Beyond Accuracy: A Stability-Aware Metric for Multi-Horizon Forecasting
Chutian Ma, Grigorii Pomazkin, Giacinto Paolo Saggese +1
Traditional time series forecasting methods optimize for accuracy alone. This objective neglects temporal consistency, in other words, how consistently a model predicts the same fu…
cs.LG2025
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
Giacinto Paolo Saggese, Paul Smith
We present DataFlow, a computational framework for building, testing, and deploying high-performance machine learning systems on unbounded time-series data. Traditional data scienc…