Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing. - Nima Shahbazi; Hamid Sarbazi-Azad (ICPADS, 2007)

Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. - Nima Shahbazi; Rohollah Soltani; Jarek Gryz; Aijun An (MLDM, 2016)

Memory Efficient Frequent Itemset Mining. - Nima Shahbazi; Rohollah Soltani; Jarek Gryz (MLDM (2), 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)

Upper Bound on the Size of FP-Tree. - Nima Shahbazi; Jarek Gryz (ADBIS, 2020)

Futility of a Right to Explanation. - Jarek Gryz; Nima Shahbazi (EDBT/ICDT Workshops, 2020)

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. - Abolfazl Asudeh; Nima Shahbazi; Zhongjun Jin; H. V. Jagadish (SIGMOD Conference, 2021)

FairRover: explorative model building for fair and responsible machine learning. - Hantian Zhang; Nima Shahbazi; Xu Chu 002; Abolfazl Asudeh (DEEM@SIGMOD, 2021)

A Survey on Techniques for Identifying and Resolving Representation Bias in Data. - Nima Shahbazi; Yin Lin; Abolfazl Asudeh; H. V. Jagadish (CoRR, 2022)

Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable. - Nima Shahbazi; Abolfazl Asudeh (CoRR, 2022)

Upper bounds for can-tree and FP-tree. - Nima Shahbazi; Jarek Gryz (J. Intell. Inf. Syst., 2022)

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources. - Khanh-Duy Nguyen; Nima Shahbazi; Abolfazl Asudeh (CoRR, 2023)

A Fair and Memory/Time-efficient Hashmap. - Abolfazl Asudeh; Nima Shahbazi; Stavros Sintos (CoRR, 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)

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)

Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. - Melika Mousavi; Nima Shahbazi; Abolfazl Asudeh (EDBT, 2024)

Fairness-Aware Data Preparation for Entity Matching. - Nima Shahbazi; Jin Wang 007; Zhengjie Miao; Nikita Bhutani (ICDE, 2024)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. - Sana Ebrahimi; Nima Shahbazi; Abolfazl Asudeh (NAACL-HLT (Findings), 2024)

Coverage-based Data-centric Approaches for Responsible and Trustworthy AI. - Nima Shahbazi; Mahdi Erfanian; Abolfazl Asudeh (IEEE Data Eng. Bull., 2024)

FairHash: A Fair and Memory/Time-efficient Hashmap. - Nima Shahbazi; Stavros Sintos; Abolfazl Asudeh (Proc. ACM Manag. Data, 2024)

Reliability evaluation of individual predictions: a data-centric approach. - Nima Shahbazi; Abolfazl Asudeh (VLDB J., 2024)

FairEM360: A Suite for Responsible Entity Matching. - Nima Shahbazi; Mahdi Erfanian; Abolfazl Asudeh; Fatemeh Nargesian; Divesh Srivastava (Proc. VLDB Endow., 2024)

Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor. - Nima Shahbazi; Stavros Sintos; Abolfazl Asudeh (CoRR, 2025)