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4Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies
M. Herschel, A. Gienger, A. Lauer, C. Stein, L. Skoury, N. Lässig, C. Ellwein, A. Verl, T. Wortmann, and C. Tarin Sauer. International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), (2024)
a year ago by @m.herschel
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1Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
K. Zheng, H. Chua, M. Herschel, H. Jagadish, B. Ooi, and J. Wei Luen Yip. International Conference on Machine Learning (ICML), (2024)
a year ago by @m.herschel
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11Research Data Management in Simulation Science: Infrastructure, Tools, and Applications
B. Flemisch, S. Hermann, M. Herschel, D. Pflüger, J. Pleiss, J. Range, S. Roy, M. Takamoto, and B. Uekermann. Datenbank-Spektrum, (2024)
a year ago by @m.herschel
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7Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations
J. Meißner, D. Göddeke, and M. Herschel. (2024)
a year ago by @m.herschel
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2FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms
N. Lässig, O. Nies, and M. Herschel. Proceedings of the International Conference on Data Engineering (ICDE), (2024)
a year ago by @m.herschel
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4FALCC: Efficiently performing locally fair and accurate classifications
N. Lässig, and M. Herschel. (2024)
2 years ago by @m.herschel
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3Towards an AutoML System for Fair Classifications
N. Lässig. International Conference on Data Engineering (ICDE), page 3913--3917. IEEE, (2023)
2 years ago by @m.herschel
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1A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset
K. Zheng, T. Nguyen, J. Chong, C. Goh, M. Herschel, H. Lee, B. Ooi, W. Wang, and J. Yip. abs/2301.03829, (2023)
2 years ago by @m.herschel
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3AI for AEC: KI für Bauplanung und Bau
T. Wortmann, M. Herschel, S. Staab, and C. Tarín. Bautechnik, (2022)
3 years ago by @m.herschel
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1Trust in data engineering: reflection, framework, and evaluation methodology
S. Oppold, and M. Herschel. International Workshop on Data Ecosystems (DEco) - VLDB Workshops, (2022)
3 years ago by @m.herschel
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3Progressive Entity Resolution over Incremental Data
L. Gazzarri, and M. Herschel. International Conference on Extending Database Technology (EDBT), page 80--91. (2023)
3 years ago by @m.herschel
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2DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics
K. Zheng, S. Cai, H. Chua, M. Herschel, M. Zhang, and B. Ooi. Proceedings of the VLDB Endowment (PVLDB), 15 (12): 3445--3458 (2022)
3 years ago by @m.herschel
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3The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry
N. Lässig, M. Herschel, A. Reichle, C. Ellwein, and A. Verl. Intelligent Information Systems - Forum, International Conference on Advanced Information Systems Engineering (CAiSE), page 45--54. (2022)
3 years ago by @m.herschel
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6Provenance-based explanations: are they useful?
S. Oppold, and M. Herschel. International Workshop on the Theory and Practice of Provenance (TAPP), page 2:1--2:4. (2022)
3 years ago by @m.herschel
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4Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles
N. Lässig, S. Oppold, and M. Herschel. Datenbank-Spektrum, 22 (1): 23 - 43 (2022)
4 years ago by @m.herschel
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8Provenance-integrated parameter selection and optimization in numerical simulations
J. Kühnert, D. Göddeke, and M. Herschel. International Workshop on the Theory and Practice of Provenance (TAPP), USENIX Association, (2021)
4 years ago by @m.herschel
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2PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery
K. Zheng, G. Chen, M. Herschel, K. Ngiam, B. Ooi, and J. Gao. In Proceedings of the ACM SIG Conference on the Management of Data (SIGMOD), (2021)
4 years ago by @m.herschel
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6To not miss the forest for the trees - A holistic approach for explaining missing answers over nested data
R. Diestelkämper, S. Lee, M. Herschel, and B. Glavic. In Proceedins of the ACM SIG Conference on the Management of Data (SIGMOD), (2021)
4 years ago by @m.herschel
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2Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb
R. Diestelkamper, S. Lee, B. Glavic, and M. Herschel. Proceedings of the VLDB Endowment (PVLDB), (2021)
4 years ago by @m.herschel
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6Integrative data processing for cyber-physical off-site and on-site construction promoting co-design
C. Ellwein, A. Reichle, M. Herschel, and A. Verl. Procedia CIRP, (2021)31st CIRP Design Conference 2021 (CIRP Design 2021).
4 years ago by @m.herschel
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15A survey on provenance: What for? What form? What from?
M. Herschel, R. Diestelkämper, and H. Ben Lahmar. The VLDB Journal, 26 (6): 881-906 (2017)
5 years ago by @m.herschel
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15Provenance: On and Behind the Screens
M. Herschel, and M. Hlawatsch. Proceedings of the ACM International Conference on the Management of Data (SIGMOD), page 2213-2217. (2016)
5 years ago by @m.herschel
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15Provenance-based Recommendations for Visual Data Exploration
H. Ben Lahmar, and M. Herschel. International Workshop on the Theory and Practice of Provenance (TAPP), USENIX Association, (2017)
5 years ago by @m.herschel
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1Structural summaries for visual provenance analysis.
H. Ben Lahmar, and M. Herschel. Proceedings of the International Workshop on Theory and Practice of Provenance (TaPP), USENIX Association, (2019)
5 years ago by @m.herschel
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3Pushing the Limits of Instance Matching Systems: A Semantics-Aware Benchmark for Linked Data.
T. Saveta, E. Daskalaki, G. Flouris, I. Fundulaki, M. Herschel, and A. Ngomo. Proceedings of the International Conference on World Wide Web (WW), Companion Volume, page 105-106. (2015)
5 years ago by @m.herschel
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3LANCE: Piercing to the Heart of Instance Matching Tools.
T. Saveta, E. Daskalaki, G. Flouris, I. Fundulaki, M. Herschel, and A. Ngomo. International Semantic Web Conference (ISWC), page 375-391. (2015)
5 years ago by @m.herschel
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3Reuse-based Optimization for Pig Latin
J. Camacho-Rodríguez, D. Colazzo, M. Herschel, I. Manolescu, and S. Chowdhury. Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), page 2215--2220. (2016)
5 years ago by @m.herschel
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11Simultaneous Visual Analysis of Multiple Software Hierarchies
C. Schulz, A. Zeyfang, M. van Garderen, H. Ben Lahmar, M. Herschel, and D. Weiskopf. Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), page 87-95. (2018)
5 years ago by @m.herschel
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12Provenance-Based Visual Data Exploration with EVLIN
H. Ben Lahmar, M. Herschel, M. Blumenschein, and D. Keim. Proceedings of International Conference on Extending Database Technology (EDBT), page 686--689. (2018)
5 years ago by @m.herschel
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1Towards Integrating Collaborative Filtering in Visual Data Exploration Systems
H. Ben Lahmar, and M. Herschel. New Trends in Databases and Information Systems, (ADBIS) 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, page 153--160. (2019)
5 years ago by @m.herschel
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2Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model
S. Oppold, and M. Herschel. ER Forum, Demo and Posters 2020 co-located with International Conference on Conceptual Modeling (ER), page 59--72. (2020)
5 years ago by @m.herschel
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2Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles
N. Lässig, S. Oppold, and M. Herschel. In Proceedings of Database Systems for Business, Technology, and Web (BTW), (2021)
5 years ago by @m.herschel
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12Volume-based large dynamic graph analysis supported by evolution provenance
V. Bruder, H. Ben Lahmar, M. Hlawatsch, S. Frey, M. Burch, D. Weiskopf, M. Herschel, and T. Ertl. Multimedia Tools and Applications, 78 (23): 32939-32965 (2019)
5 years ago by @m.herschel
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6Collaborative filtering over evolution provenance data for interactive visual data exploration
H. Ben Lahmar, and M. Herschel. Information Systems, (2021)
5 years ago by @m.herschel
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4End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data
L. Gazzarri, and M. Herschel. Proceedings of the IEEE International Conference on Data Engineering (ICDE), (2021)
5 years ago by @m.herschel
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6Distributed Tree-Pattern Matching in Big Data Analytics Systems
R. Diestelkämper, and M. Herschel. In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), page 171-186. Springer, (2020)
5 years ago by @m.herschel
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2Towards task-based parallelization for entity resolution
L. Gazzarri, and M. Herschel. SICS Software-Intensive Cyber-Physical Systems, 35 (1): 31-38 (2020)
5 years ago by @m.herschel
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1Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters
L. Gazzarri, and M. Herschel. Proceedings of the International Conference on Extending Database Technology (EDBT), page 419--422. OpenProceedings.org, (2020)
5 years ago by @m.herschel
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2A System Framework for Personalized and Transparent Data-Driven Decisions
S. Oppold, and M. Herschel. Proceedings of the International Conference on Advanced Information Systems Engineering (CAiSE), page 153-168. (2020)
5 years ago by @m.herschel
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2LuPe: A System for Personalized and Transparent Data-driven Decisions
S. Oppold, and M. Herschel. Proceedings of the International Conference on Information and Knowledge Management (CIKM), page 2905-2908. (2019)
5 years ago by @m.herschel
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9Provenance for Entity Resolution.
S. Oppold, and M. Herschel. IPAW, volume 11017 of Lecture Notes in Computer Science, page 226-230. Springer, (2018)
5 years ago by @m.herschel
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2Artemis: A System for Analyzing Missing Answers
M. Herschel, M. Hernández, and W. Tan. Proceedings of the VLDB Endowment, 2 (2): 1550--1553 (2009)
5 years ago by @m.herschel
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2Explaining Missing Answers to SPJUA Queries.
M. Herschel, and M. Hernández. PVLDB, 3 (1): 185-196 (2010)
5 years ago by @m.herschel
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2Wondering why data are missing from query results?: ask conseil why-not.
M. Herschel. CIKM, page 2213-2218. ACM, (2013)
5 years ago by @m.herschel
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3Immutably Answering Why-Not Questions for Equivalent Conjunctive Queries
N. Bidoit, M. Herschel, and K. Tzompanaki. TAPP, USENIX Association, (2014)
5 years ago by @m.herschel
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3A hybrid approach to answering why-not questions on relational query results
M. Herschel. Journal of data and information quality, 5 (3): 10:1-10:29 (2015)
5 years ago by @m.herschel
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2Refining SQL Queries based on Why-Not Polynomials
N. Bidoit, M. Herschel, and K. Tzompanaki. 8th USENIX Workshop on the Theory and Practice of Provenance, TaPP 2016, Washington, D.C., USA, June 8-9, 2016, (2016)
5 years ago by @m.herschel
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2Query-Based Why-Not Provenance with NedExplain.
N. Bidoit, M. Herschel, and K. Tzompanaki. EDBT, page 145-156. OpenProceedings.org, (2014)
5 years ago by @m.herschel
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3Efficient computation of polynomial explanations of why-not questions
N. Bidoit, M. Herschel, and A. Tzompanaki. CIKM'15, page 713-722. New York, NY, Association for Computing Machinery, (2015)
5 years ago by @m.herschel
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3EFQ: why-not answer polynomials in action
N. Bidoit, M. Herschel, and K. Tzompanaki. Proceedings of the VLDB Endowment (PVLDB), 8 (12): 1980-1983 (2015)
5 years ago by @m.herschel
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