Artículos con órdenes de acceso público - Abolfazl AsudehMás información
Disponibles en algún lugar: 33
Designing Fair Ranking Schemes
A Asudeh, HV Jagadish, J Stoyanovich, G Das
SIGMOD 2019, 2019
Órdenes: US National Science Foundation, US Department of Defense
A Nutritional Label for Rankings
K Yang, J Stoyanovich, A Asudeh, B Howe, HV Jagadish, G Miklau
SIGMOD (Demo Track), Proceedings of the 2018 International Conference on …, 2018
Órdenes: US National Science Foundation
Assessing and Remedying Coverage for a Given Dataset
A Asudeh, Z Jin, HV Jagadish
ICDE 2019, 2019
Órdenes: US National Science Foundation
Representation bias in data: A survey on identification and resolution techniques
N Shahbazi, Y Lin, A Asudeh, HV Jagadish
ACM Computing Surveys 55 (13s), 1-39, 2023
Órdenes: US National Science Foundation
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative
A Asudeh, A Nazi, N Zhang, G Das
SIGMOD, 821-834, 2017
Órdenes: US National Science Foundation, US Department of Defense
Mithralabel: Flexible dataset nutritional labels for responsible data science
C Sun, A Asudeh, HV Jagadish, B Howe, J Stoyanovich
CIKM '19: Proceedings of the 28th ACM International Conference on …, 2019
Órdenes: US National Science Foundation
Identifying Insufficient Data Coverage in Databases with Multiple Relations
Y Lin, Y Guan, A Asudeh, HV Jagadish
Proceedings of the VLDB Endowment 13 (11), 2229-2242, 2020
Órdenes: US National Science Foundation
Tailoring Data Source Distributions for Fairness-aware Data Integration
F Nargesian, A Asudeh, HV Jagadish
Proceedings of the VLDB Endowment 14 (11), 2021
Órdenes: US National Science Foundation
Mithracoverage: a system for investigating population bias for intersectional fairness
Z Jin, M Xu, C Sun, A Asudeh, HV Jagadish
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Órdenes: US National Science Foundation
Identifying Insuficient Data Coverage for Ordinal Continuous-Valued Atributes
A Asudeh, N Shahbazi, Z Jin, HV Jagadish
SIGMOD, In Proceedings of the 2021 International Conference on Management of …, 2021
Órdenes: US National Science Foundation
Fairly Evaluating and Scoring Items in a Data Set
A Asudeh, HV Jagadish
Proceedings of the VLDB Endowment 13 (12), 2020
Órdenes: US National Science Foundation
On Detecting Cherry-picked Trendlines
A Asudeh, HV Jagadish, YW Wu, C Yu
Proceedings of the VLDB Endowment 13 (6), 939-952, 2020
Órdenes: US National Science Foundation
Crowdsourcing pareto-optimal object finding by pairwise comparisons
A Asudeh, G Zhang, N Hassan, C Li, GV Zaruba
CIKM, 753-762, 2015
Órdenes: National Natural Science Foundation of China
Responsible Data Integration: Next-generation Challenges
F Nargesian, A Asudeh, HV Jagadish
SIGMOD'22: Proceedings of the 2022 International Conference on Management of …, 2022
Órdenes: US National Science Foundation
RRR: Rank-Regret Representative
A Asudeh, A Nazi, N Zhang, G Das, HV Jagadish
Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2019
Órdenes: US National Science Foundation, US Department of Defense
Fairness-aware range queries for selecting unbiased data
S Shetiya, IP Swift, A Asudeh, G Das
2022 IEEE 38th International Conference on Data Engineering (ICDE), 1423-1436, 2022
Órdenes: US National Science Foundation
MithraRanking: A System for Responsible Ranking Design
Y Guan, A Asudeh, P Mayuram, HV Jagadish, J Stoyanovich, G Miklau, ...
SIGMOD -- demo, 2019
Órdenes: US National Science Foundation, US Department of Defense
Efficient Computation of Subspace Skyline over Categorical Domains
MF Rahman, A Asudeh, N Koudas, G Das
CIKM, 407-416, 2017
Órdenes: US National Science Foundation, US Department of Defense
Generating preview tables for entity graphs
N Yan, S Hasani, A Asudeh, C Li
SIGMOD, 1797-1811, 2016
Órdenes: US National Science Foundation, National Natural Science Foundation of China
Towards Distribution-aware Query Answering in Data Markets
A Asudeh, F Nargesian
Proceedings of the VLDB Endowment 15 (11), 3137 - 3144, 2022
Órdenes: US National Science Foundation
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