Making Sense of Data in the Wild: Data Analysis Automation at Scale | Paper Citation Record

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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This paper cites General Chair-Czerwinski, Mary and General Chair-Lund, Arnie and Program Chair-Tan, Desney.

Making Sense of Data in the Wild: Data Analysis Automation at Scale General Chair-Czerwinski, Mary and General Chair-Lund, Arnie and Program Chair-Tan, Desney

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This paper cites Clifford: a maple 11 package for clifford algebra computations, version 11, 2007.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Clifford: a maple 11 package for clifford algebra computations, version 11, 2007

Reference 3

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Making Sense of Data in the Wild: Data Analysis Automation at Scale S., and Plant, R

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This paper cites Burka - 1999 czech financial dataset, 1999.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Burka - 1999 czech financial dataset, 1999

Reference 5

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This paper cites In Proceedings of the IEEE 1st International Conference on Broadnets Networks (BroadNets’04) (Los Alamitos, CA, 2004), IEEE, pp.

Making Sense of Data in the Wild: Data Analysis Automation at Scale In Proceedings of the IEEE 1st International Conference on Broadnets Networks (BroadNets’04) (Los Alamitos, CA, 2004), IEEE, pp

Reference 6

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Making Sense of Data in the Wild: Data Analysis Automation at Scale P., and Bode, J

Reference 7

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This paper cites F., Melodia, T., and Chowdhury, K.

Making Sense of Data in the Wild: Data Analysis Automation at Scale F., Melodia, T., and Chowdhury, K

Reference 8

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This paper cites F., Su, W., Sankarasubramaniam, Y., and Cayirci, E.

Making Sense of Data in the Wild: Data Analysis Automation at Scale F., Su, W., Sankarasubramaniam, Y., and Cayirci, E

Reference 9

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This paper cites Hybrid oxide coatings generates stable cu catalysts for co2 electroreduction, jan 2024.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Hybrid oxide coatings generates stable cu catalysts for co2 electroreduction, jan 2024

Reference 10

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This paper cites Scientific Dataset Discovery via Topic-level Recommendation.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Scientific Dataset Discovery via Topic-level Recommendation

Reference 11

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This paper cites Using the amsthm Package , April 2015.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Using the amsthm Package , April 2015

Reference 12

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

Reference 13

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

Reference 14

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This paper cites photocatalytic umpolung of n- and o- substituted alkenes for the synthesis of 1,2-amino alcohols and diols.

Making Sense of Data in the Wild: Data Analysis Automation at Scale photocatalytic umpolung of n- and o- substituted alkenes for the synthesis of 1,2-amino alcohols and diols

Reference 15

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This paper cites Car sales dataset.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Car sales dataset

Reference 16

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This paper cites Predicate path expressions.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Predicate path expressions

Reference 17

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This paper cites cyclopentadienone iron complex-catalyzed hydrogenation of ketones: An operando spectrometric study using pressurized sample infusion-electrospray ionization-mass spectrometry.

Making Sense of Data in the Wild: Data Analysis Automation at Scale cyclopentadienone iron complex-catalyzed hydrogenation of ketones: An operando spectrometric study using pressurized sample infusion-electrospray ionization-mass spectrometry

Reference 18

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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This paper cites Raw data for the article zwitterionic halido cyclopentadienone iron complexes and their catalytic performance in hydrogenation reactions, jan 2023.

Making Sense of Data in the Wild: Data Analysis Automation at Scale Raw data for the article zwitterionic halido cyclopentadienone iron complexes and their catalytic performance in hydrogenation reactions, jan 2023

Reference 20

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale UMass citation field extraction dataset, 2013

Reference 23

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Learning soft linear constraints with application to citation field extraction, 2014

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Making Sense of Data in the Wild: Data Analysis Automation at Scale E., Conway, R., and Schneider, F

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Docling Technical Report

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This paper cites SSCH: Slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks.

Making Sense of Data in the Wild: Data Analysis Automation at Scale SSCH: Slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks

Reference 27

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This paper cites solid-state nmr spectra of protons and quadrupolar nuclei at 28.2 t: Resolving signatures of surface sites with fast magic angle spinning.

Making Sense of Data in the Wild: Data Analysis Automation at Scale solid-state nmr spectra of protons and quadrupolar nuclei at 28.2 t: Resolving signatures of surface sites with fast magic angle spinning

Reference 28

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Knowl Inf Syst 64 (2022)

Reference 29

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Making Sense of Data in the Wild: Data Analysis Automation at Scale In The Eleventh International Conference on Learning Representations (2023)

Reference 30

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Making Sense of Data in the Wild: Data Analysis Automation at Scale B., and Haunschild, R

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Raw data for the article tosyloxybenziodoxolone: A platform for performing the umpolung of alkynes in one-pot transformations, jan 2021

Reference 32

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale K., and Peterson, L

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Babel, a multilingual style-option system for use with latex’s standard document styles

Reference 35

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Implications of ga promotion and metal-oxide interface from tailored ptga propane dehydrogenation catalysts supported on carbon, jan 2023

Reference 36

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Language Models are Few-Shot Learners

Reference 37

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Making Sense of Data in the Wild: Data Analysis Automation at Scale F., Rosenberg, A

Reference 39

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Making Sense of Data in the Wild: Data Analysis Automation at Scale enantioselective carboetherification/hydrogenation for the synthesis of amino alcohols via a catalytically-formed chiral auxiliary

Reference 40

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Making Sense of Data in the Wild: Data Analysis Automation at Scale M., andrea, R.-F., Chen, Z., Willinger, E., Kepaptsoglou, D

Reference 41

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Improving the lifetime of hybrid CoPc MWCNT catalysts for selective electrochemical CO2 to CO conversion, jan 2022

Reference 44

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Making Sense of Data in the Wild: Data Analysis Automation at Scale A., Tulus, V., Ryberg, M

Reference 45

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Langchain [computer software]

Reference 46

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Making Sense of Data in the Wild: Data Analysis Automation at Scale A., Tachibana, R., Stein, A., Jakob, R

Reference 47

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Adsmt: Multi-modal transformer for predicting global minimum adsorption energy, jan 2024

Reference 48

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Is gpt-4 a good data analyst? In Findings of the Association for Computational Linguistics: EMNLP 2023 (2023), pp

Reference 49

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Post congress tristesse

Reference 50

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Deciding equivalances among conjunctive aggregate queries

Reference 54

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Making Sense of Data in the Wild: Data Analysis Automation at Scale V., and Mei, A

Reference 55

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Making Sense of Data in the Wild: Data Analysis Automation at Scale V., and Mei, A

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Mysql [computer software]

Reference 57

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Making Sense of Data in the Wild: Data Analysis Automation at Scale H., Das, S., Wodrich, M

Reference 58

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Making Sense of Data in the Wild: Data Analysis Automation at Scale http://www.xbow.com

Reference 59

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Making Sense of Data in the Wild: Data Analysis Automation at Scale IEEE Comput

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Making Sense of Data in the Wild: Data Analysis Automation at Scale C., Cobo, S., Nabera, A., Martín, A

Reference 61

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Making Sense of Data in the Wild: Data Analysis Automation at Scale C., Mache, J., and Guillén-Gosálbez, G

Reference 62

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Reference 63

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Making Sense of Data in the Wild: Data Analysis Automation at Scale C., Martín, A

Reference 64

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Making Sense of Data in the Wild: Data Analysis Automation at Scale palladium-catalyzed trans-hydroalkoxylation: Counterintuitive use of an aryl iodide additive to promote c-h bond formation

Reference 65

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Making Sense of Data in the Wild: Data Analysis Automation at Scale T., and Corminboeuf, C

Reference 66

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Making Sense of Data in the Wild: Data Analysis Automation at Scale unwrap them first: Operando potential-induced activation is required when using pvp-capped ag nanocubes as catalysts of co2 electroreduction

Reference 67

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Go to statement considered harmful

Reference 68

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Reference 69

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Making Sense of Data in the Wild: Data Analysis Automation at Scale P., Harel, D., and Trakhtenbrot, M

Reference 70

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Making Sense of Data in the Wild: Data Analysis Automation at Scale D., and Basili, V

Reference 71

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Making Sense of Data in the Wild: Data Analysis Automation at Scale The title of book one , 1st

Reference 72

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Making Sense of Data in the Wild: Data Analysis Automation at Scale The title of book two , 2nd

Reference 73

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Smollm collection [computer software]

Reference 74

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Reference 75

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Making Sense of Data in the Wild: Data Analysis Automation at Scale D., Guillén-Gosalbez, G., Jeschke, G., Clark, A

Reference 76

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Assessing the environmental benefit of palladium-based single-atom heterogeneous catalysts for sonogashira coupling, jan 2022

Reference 77

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Publication quality tables in LATEX, April 2005

Reference 78

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Making Sense of Data in the Wild: Data Analysis Automation at Scale perovskite quantum dots for super-resolution optical microscopy: Where strong photoluminescence blinking matters

Reference 79

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Reference 80

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Evaluation of the potential use of e-fuels in the european aviation sector: a comprehensive economic and environmental assessment including externalities, jan 2022

Reference 81

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Observation b3869d02-c6eb-4efc-b512-c4e17eabb800 · outbound

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Making Sense of Data in the Wild: Data Analysis Automation at Scale M., and Reingold, E

Reference 82

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Making Sense of Data in the Wild: Data Analysis Automation at Scale W., W allach, H., Iii, H

Reference 83

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Structured variational inference procedures and their realizations (as incol)

Reference 84

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Automatic Parallelization for Distributed-Memory Multiprocessing Systems

Reference 85

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Experimental data supported techno-economic assessment of the oxidative dehydrogenation of ethane through chemical looping with oxygen uncoupling, jan 2021

Reference 86

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Making Sense of Data in the Wild: Data Analysis Automation at Scale K., Agrachev, M., Krumeich, F., Clark, A

Reference 87

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Making Sense of Data in the Wild: Data Analysis Automation at Scale K., Martín, A

Reference 88

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Making Sense of Data in the Wild: Data Analysis Automation at Scale P., Moore, R., and Sutor, R

Reference 89

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Making Sense of Data in the Wild: Data Analysis Automation at Scale A., Lutz, M

Reference 90

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Making Sense of Data in the Wild: Data Analysis Automation at Scale B., Segura Lecina, O., Albertini, P

Reference 91

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Unresolved cited work

Reference 92

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Making Sense of Data in the Wild: Data Analysis Automation at Scale V., Balzarotti, D., and Vigna, G

Reference 93

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Making Sense of Data in the Wild: Data Analysis Automation at Scale V., Balzarotti, D., and Vigna, G

Reference 94

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Making Sense of Data in the Wild: Data Analysis Automation at Scale V., Balzarotti, D., and Vigna, G

Reference 95

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Reference 96

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Making Sense of Data in the Wild: Data Analysis Automation at Scale The unreasonable effectiveness of data

Reference 97

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Logics of programs: Axiomatics and descriptive power

Reference 98

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Making Sense of Data in the Wild: Data Analysis Automation at Scale First-Order Dynamic Logic, vol

Reference 99

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Making Sense of Data in the Wild: Data Analysis Automation at Scale http://www.eecs.harvard.edu/mdw/ proj/codeblue/

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T13:53:51.640083Z

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Observation 41ec764b-3b18-4aba-98c4-e1556d042267 · outbound

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Making Sense of Data in the Wild: Data Analysis Automation at Scale Metadata-based data exploration with retrieval-augmented generation for large language models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-10T13:53:51.643729Z

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