Abolfazl Asudeh

According to our database1, Abolfazl Asudeh authored at least 36 papers between 2008 and 2020.

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Bibliography

2020
Scalable algorithms for signal reconstruction by leveraging similarity joins.
VLDB J., 2020

Identifying Insufficient Data Coverage in Databases with Multiple Relations.
Proc. VLDB Endow., 2020

Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins.
Proc. VLDB Endow., 2020

On Detecting Cherry-picked Trendlines.
Proc. VLDB Endow., 2020

Fairly Evaluating and Scoring Items in a Data Set.
Proc. VLDB Endow., 2020

MithraDetective: A System for Cherry-picked Trendlines Detection.
CoRR, 2020

Maximizing coverage while ensuring fairness: a tale of conflicting objective.
CoRR, 2020

Fair Active Learning.
CoRR, 2020

Fair Active Learning.
CoRR, 2020

MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Efficient Signal Reconstruction for a Broad Range of Applications.
SIGMOD Rec., 2019

A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems.
Proc. VLDB Endow., 2019

ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse.
Proc. VLDB Endow., 2019

Towards Responsible Data-driven Decision Making in Score-Based Systems.
IEEE Data Eng. Bull., 2019

Responsible Scoring Mechanisms Through Function Sampling.
CoRR, 2019

MithraRanking: A System for Responsible Ranking Design.
Proceedings of the 2019 International Conference on Management of Data, 2019

RRR: Rank-Regret Representative.
Proceedings of the 2019 International Conference on Management of Data, 2019

Designing Fair Ranking Schemes.
Proceedings of the 2019 International Conference on Management of Data, 2019

Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Assessing and Remedying Coverage for a Given Dataset.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse.
Proc. VLDB Endow., 2018

Leveraging Similarity Joins for Signal Reconstruction.
Proc. VLDB Endow., 2018

On Obtaining Stable Rankings.
Proc. VLDB Endow., 2018

A Nutritional Label for Rankings.
Proceedings of the 2018 International Conference on Management of Data, 2018

QR2: A Third-Party Query Reranking Service over Web Databases.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes.
CoRR, 2017

Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Efficient Computation of Subspace Skyline over Categorical Domains.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Query Reranking As A Service.
Proc. VLDB Endow., 2016

Discovering the Skyline of Web Databases.
Proc. VLDB Endow., 2016

A general model for MAC protocol selection in wireless sensor networks.
Ad Hoc Networks, 2016

Generating Preview Tables for Entity Graphs.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Generating Preview Tables for Entity Graphs.
CoRR, 2014

2008
MEHR: Multi-Hop Energy-Aware Hierarchical Routing for Wireless Sensor Networks.
Proceedings of the NTMS 2008, 2008


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