ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
Summary: Interactive benchmarking tool for time-series imputation that simulates block-missing sensor failures, deploys user algorithms, and compares imputation families across diverse missingness patterns and series features. Adds AutoML-driven parameter tuning and feature-aware diagnostics to explain algorithm behavior and enable optimal, interpretable selection for IoT sensor data. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mourad Khayati
- 2. Quentin Nater
- 3. Jacques Pasquier
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,744 | DIM-SUM: Dynamic IMputation for Smart Utility Management | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,276 | Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series | 2020 | VLDB | 9.1261944e-05 |
| 2,573 | Query Optimization for Dynamic Imputation | 2017 | VLDB | 8.518235e-05 |
| 4,332 | Missing Value Imputation on Multidimensional Time Series | 2021 | VLDB | 6.2805243e-05 |
| 5,629 | DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation | 2023 | SIGMOD | 5.4025905e-05 |
| 6,727 | ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams | 2021 | VLDB | 4.9483604e-05 |
| 7,400 | Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation | 2024 | VLDB | 4.7397846e-05 |
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