Schedule¶

Section 1: Introduction and Overview (20 min)¶

▸ Time Series applications

▸ Missing data

▸ Imputation categories

Section 2: ImputeGAP Features (10 min)¶

▸ Supported datasets

▸ Supported algorithms

Section 3: Imputation Pipeline Synthesis (60 min)¶

▸ Dataset loading and contamination

▸ Optimization methods for imputation

▸ Imputation evaluation

▸ Benchmarking

Coffee Break

Section 4: Downstream Analysis (20 min)¶

▸ Downstream models

▸ Metric comparison

▸ Upstream vs. downstream gains

Section 5: Imputation Explainability (20 min)¶

▸ Time series characterization

▸ Feature contribution

▸ Confidence analysis

Section 6: Library Extension (20 min)¶

▸ Python integration

▸ Wrappers support

Q&A