Nima Shahbazi

28 papers A* 1B 2C 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation.
CoRR
Nima Shahbazi, Aryan Esmailpour, Stavros Sintos
2025 J jnl
Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor.
CoRR
Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh
2024 J jnl
Coverage-based Data-centric Approaches for Responsible and Trustworthy AI.
IEEE Data Eng. Bull.
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh
2024 B conf
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach.
EDBT
Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh
2024 J jnl
FairEM360: A Suite for Responsible Entity Matching.
CoRR
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava
2024 J jnl
FairEM360: A Suite for Responsible Entity Matching.
Proc. VLDB Endow.
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava
2024 J jnl
FairHash: A Fair and Memory/Time-efficient Hashmap.
Proc. ACM Manag. Data
Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh
2024 A* conf
Fairness-Aware Data Preparation for Entity Matching.
ICDE
Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani
2024 — conf
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models.
NAACL-HLT (Findings)
Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
2024 J jnl
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models.
CoRR
Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
2024 J jnl
Reliability evaluation of individual predictions: a data-centric approach.
VLDB J.
Nima Shahbazi, Abolfazl Asudeh
2023 J jnl
A Fair and Memory/Time-efficient Hashmap.
CoRR
Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos
2023 J jnl
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach.
CoRR
Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh
2023 J jnl
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources.
CoRR
Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh
2023 J jnl
Representation Bias in Data: A Survey on Identification and Resolution Techniques.
ACM Comput. Surv.
Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
2023 J jnl
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.
CoRR
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
2023 J jnl
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching.
Proc. VLDB Endow.
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
2022 J jnl
A Survey on Techniques for Identifying and Resolving Representation Bias in Data.
CoRR
Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
2022 J jnl
Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable.
CoRR
Nima Shahbazi, Abolfazl Asudeh
2022 J jnl
Upper bounds for can-tree and FP-tree.
J. Intell. Inf. Syst.
Nima Shahbazi, Jarek Gryz
2021 — conf
FairRover: explorative model building for fair and responsible machine learning.
DEEM@SIGMOD
Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh
2021 — conf
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes.
SIGMOD Conference
Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish
2020 — conf
Futility of a Right to Explanation.
EDBT/ICDT Workshops
Jarek Gryz, Nima Shahbazi
2020 C conf
Upper Bound on the Size of FP-Tree.
ADBIS
Nima Shahbazi, Jarek Gryz
2018 J jnl
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection.
Adv. Eng. Informatics
Jennifer McArthur, Nima Shahbazi, Ricky Fok, Christopher Raghubar, Brandon Bortoluzzi, Aijun An
2018 — conf
Memory Efficient Frequent Itemset Mining.
MLDM (2)
Nima Shahbazi, Rohollah Soltani, Jarek Gryz
2016 — conf
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining.
MLDM
Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An
2007 B conf
Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing.
ICPADS
Nima Shahbazi, Hamid Sarbazi-Azad