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Publication search results
found 90 matches
- 2024
- Yue Gong, Sainyam Galhotra, Raul Castro Fernandez:
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. Proc. ACM Manag. Data 2(3): 154 (2024) - Kevin Dharmawan
, Chirag A. Kawediya
, Yue Gong
, Zaki Indra Yudhistira
, Zhiru Zhu
, Sainyam Galhotra
, Adila Alfa Krisnadhi
, Raul Castro Fernandez
:
Demonstration of Ver: View Discovery in the Wild. SIGMOD Conference Companion 2024: 428-431 - Raul Castro Fernandez
, Arnab Nandi
:
Responsible Sharing of Spatiotemporal Data. SIGMOD Conference Companion 2024: 580-584 - Yue Gong
, Raul Castro Fernandez
:
Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data. SIGMOD Conference Companion 2024: 524-527 - 2023
- Andrea Cimmino
, Juan Cano-Benito
, Alba Fernández-Izquierdo
, Christos Patsonakis, Apostolos C. Tsolakis
, Raúl García-Castro
, Dimosthenis Ioannidis
, Dimitrios Tzovaras
:
A scalable, secure, and semantically interoperable client for cloud-enabled Demand Response. Future Gener. Comput. Syst. 141: 54-66 (2023) - Raul Castro Fernandez
:
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia. Proc. ACM Manag. Data 1(2): 172:1-172:25 (2023) - Matthew Perron
, Raul Castro Fernandez
, David J. DeWitt
, Michael J. Cafarella
, Samuel Madden
:
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Proc. ACM Manag. Data 1(4): 233:1-233:25 (2023) - Qiming Wang
, Raul Castro Fernandez
:
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach. Proc. ACM Manag. Data 1(4): 262:1-262:27 (2023) - Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan:
How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. 16(11): 3302-3309 (2023) - Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. Proc. VLDB Endow. 16(11): 3057-3070 (2023) - Jian Pei
, Raul Castro Fernandez, Xiaohui Yu
:
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. Proc. VLDB Endow. 16(12): 3872-3873 (2023) - Sainyam Galhotra, Yue Gong, Raul Castro Fernandez:
Metam: Goal-Oriented Data Discovery. ICDE 2023: 2780-2793 - Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez:
Ver: View Discovery in the Wild. ICDE 2023: 503-516 - Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar:
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. ICML 2023: 42081-42097 - Qiming Wang, Raul Castro Fernandez:
Data Discovery using Natural Language Questions via a Self-Supervised Approach. CoRR abs/2301.03560 (2023) - Sainyam Galhotra, Yue Gong, Raul Castro Fernandez:
METAM: Goal-Oriented Data Discovery. CoRR abs/2304.09068 (2023) - Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR abs/2305.03842 (2023) - Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu:
Kitana: Efficient Data Augmentation Search for AutoML. CoRR abs/2305.10419 (2023) - Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar:
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. CoRR abs/2306.02543 (2023) - Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. CoRR abs/2307.00432 (2023) - Zhiru Zhu, Raul Castro Fernandez:
Making Differential Privacy Easier to Use for Data Controllers and Data Analysts using a Privacy Risk Indicator and an Escrow-Based Platform. CoRR abs/2310.13104 (2023) - Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu:
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. CoRR abs/2310.17843 (2023) - 2022
- Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page
, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - María Poveda-Villalón
, Alba Fernández-Izquierdo, Mariano Fernández-López
, Raúl García-Castro:
LOT: An industrial oriented ontology engineering framework. Eng. Appl. Artif. Intell. 111: 104755 (2022) - Alba Fernández-Izquierdo, Raúl García-Castro:
Ontology verification testing using lexico-syntactic patterns. Inf. Sci. 582: 89-113 (2022) - Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard
, Aaron J. Elmore
, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15(11): 3172-3185 (2022) - Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez:
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. SIGMOD Rec. 51(3): 30-37 (2022) - Raul Castro Fernandez:
Protecting Data Markets from Strategic Buyers. SIGMOD Conference 2022: 1755-1769 - Zixuan Zhao, Raul Castro Fernandez:
Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation. SIGMOD Conference 2022: 1504-1517 - 2021
- Alba Fernández-Izquierdo
, Raúl García-Castro
:
Conformance testing of ontologies through ontology requirements. Eng. Appl. Artif. Intell. 97: 104026 (2021)
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