Nima Shahbazi

Orcid: 0000-0001-7016-3807

According to our database1, Nima Shahbazi authored at least 17 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Coverage-based Data-centric Approaches for Responsible and Trustworthy AI.
IEEE Data Eng. Bull., 2024

Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.
Proc. VLDB Endow., 2023

Representation Bias in Data: A Survey on Identification and Resolution Techniques.
ACM Comput. Surv., 2023

A Fair and Memory/Time-efficient Hashmap.
CoRR, 2023

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources.
CoRR, 2023

2022
Upper bounds for can-tree and FP-tree.
J. Intell. Inf. Syst., 2022

Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable.
CoRR, 2022

A Survey on Techniques for Identifying and Resolving Representation Bias in Data.
CoRR, 2022

2021
FairRover: explorative model building for fair and responsible machine learning.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Futility of a Right to Explanation.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Upper Bound on the Size of FP-Tree.
Proceedings of the Advances in Databases and Information Systems, 2020

2018
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection.
Adv. Eng. Informatics, 2018

Memory Efficient Frequent Itemset Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2016
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2007
Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing.
Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007


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