Nima Shahbazi

According to our database, Nima Shahbazi authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FairEM360: A Suite for Responsible Entity Matching.

Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava

Proc. VLDB Endow., August, 2024

Reliability evaluation of individual predictions: a data-centric approach.

Nima Shahbazi, Abolfazl Asudeh

VLDB J., July, 2024

FairHash: A Fair and Memory/Time-efficient Hashmap.

Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh

Proc. ACM Manag. Data, 2024

Coverage-based Data-centric Approaches for Responsible and Trustworthy AI.

Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh

IEEE Data Eng. Bull., 2024

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models.

Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Fairness-Aware Data Preparation for Entity Matching.

Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach.

Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.

Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava

Proc. VLDB Endow., 2023

Representation Bias in Data: A Survey on Identification and Resolution Techniques.

Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish

ACM Comput. Surv., 2023

A Fair and Memory/Time-efficient Hashmap.

Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos

CoRR, 2023

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

Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh

CoRR, 2023

2022

Upper bounds for can-tree and FP-tree.

Nima Shahbazi, Jarek Gryz

J. Intell. Inf. Syst., 2022

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

Nima Shahbazi, Abolfazl Asudeh

CoRR, 2022

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

Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish

CoRR, 2022

2021

FairRover: explorative model building for fair and responsible machine learning.

Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes.

Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Futility of a Right to Explanation.

Jarek Gryz, Nima Shahbazi

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Upper Bound on the Size of FP-Tree.

Nima Shahbazi, Jarek Gryz

Proceedings of the Advances in Databases and Information Systems, 2020

2018

Machine learning and BIM visualization for maintenance issue classification and enhanced data collection.

Jennifer McArthur, Nima Shahbazi, Ricky Fok, Christopher Raghubar, Brandon Bortoluzzi, Aijun An

Adv. Eng. Informatics, 2018

Memory Efficient Frequent Itemset Mining.

Nima Shahbazi, Rohollah Soltani, Jarek Gryz

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2016

Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining.

Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An

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.

Nima Shahbazi, Hamid Sarbazi-Azad

Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007