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Interpretable Entity Matching with WYM.

, , , , , и . SEBD, том 3478 из CEUR Workshop Proceedings, стр. 101-109. CEUR-WS.org, (2023)

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Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical method. FU Berlin, (2009)

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Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering., , , и . Proc. VLDB Endow., 16 (2): 193-201 (2022)Landmark Explanation: An Explainer for Entity Matching Models., , , и . CIKM, стр. 4680-4684. ACM, (2021)Evaluating the integration of datasets., , , и . SAC, стр. 347-356. ACM, (2022)Unsupervised Evaluation of Data Integration Processes., , , и . iiWAS, стр. 77-81. ACM, (2020)An Intrinsically Interpretable Entity Matching System., , , , и . EDBT, стр. 645-657. OpenProceedings.org, (2023)Automated Machine Learning for Entity Matching Tasks., , , , и . EDBT, стр. 325-330. OpenProceedings.org, (2021)Interpretable Entity Matching with WYM., , , , , и . SEBD, том 3478 из CEUR Workshop Proceedings, стр. 101-109. CEUR-WS.org, (2023)Landmark Explanation: a Tool for Entity Matching., , , и . SEBD, том 3194 из CEUR Workshop Proceedings, стр. 69-76. CEUR-WS.org, (2022)Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies., , , , и . Ital-IA, том 3486 из CEUR Workshop Proceedings, стр. 489-494. CEUR-WS.org, (2023)Transforming ML Predictive Pipelines into SQL with MASQ., , , , и . SIGMOD Conference, стр. 2696-2700. ACM, (2021)