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cs.AI2026
DMCD: Semantic-Statistical Framework for Causal Discovery
Samarth KaPatel, Sofia Nikiforova, Giacinto Paolo Saggese +1
We present DMCD (DataMap Causal Discovery), a two-phase causal discovery framework that integrates LLM-based semantic drafting from variable metadata with statistical validation on…
cs.AI2025
Causal Inference in Energy Demand Prediction
Chutian Ma, Grigorii Pomazkin, Giacinto Paolo Saggese +1
Energy demand prediction is critical for grid operators, industrial energy consumers, and service providers. Energy demand is influenced by multiple factors, including weather cond…
cs.AI2025
A Benchmark of Causal vs. Correlation AI for Predictive Maintenance
Shaunak Dhande, Chutian Ma, Giacinto Paolo Saggese +2
Predictive maintenance in manufacturing environments presents a challenging optimization problem characterized by extreme cost asymmetry, where missed failures incur costs roughly…