Toward Interpretable and Actionable Data Analysis with Explanations and Causality

von Roy, Sudeepa
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

Causal Inference in Data Analysis with Applications to Fairness and Explanations

von Roy, Sudeepa
Veröffentlicht in RW (18. : 2022 : Online) Reasoning web (2023)

Trends in explanations : understanding and debugging data-driven systems

von Glavic, Boris
Veröffentlicht 2021

Learning to Sample: Counting with Complex Queries

von Walenz, Breit
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 1 of 5 (2020)

MuSe: Multiple Deletion Semantics for Data Repair

von Gilad, Amir
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 5 of 5 (2020)

ADAPTIVE HYPER-BOX MATCHING FOR INTERPRETABLE INDIVIDUALIZED TREATMENT EFFECT ESTIMATION

von MORUCCI, MARCO
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)

Aggregated Deletion Propagation for Counting Conjunctive Query Answers

von Hu, Xiao
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 1 of 4 (2021)

CaJaDE: Explaining Query Results by Augmenting Provenance with Context

von Li, Chenjie
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

I-Rex: An Interactive Relational Query Explainer for SQL

von Miao, Zhengjie
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 5 of 5 (2020)