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Nima Shahbazi
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2020 – today
- 2024
- [j8]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh
:
Coverage-based Data-centric Approaches for Responsible and Trustworthy AI. IEEE Data Eng. Bull. 47(1): 3-17 (2024) - [j7]Nima Shahbazi
FairHash: A Fair and Memory/Time-efficient Hashmap. Proc. ACM Manag. Data 2(3): 136 (2024) - [j6]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava:
FairEM360: A Suite for Responsible Entity Matching. Proc. VLDB Endow. 17(12): 4417-4420 (2024) - [j5]Nima Shahbazi
Reliability evaluation of individual predictions: a data-centric approach. VLDB J. 33(4): 1203-1230 (2024) - [c10]Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. EDBT 2024: 47-60 - [c9]Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani:
Fairness-Aware Data Preparation for Entity Matching. ICDE 2024: 3476-3489 - [c8]Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh:
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. NAACL-HLT (Findings) 2024: 549-560 - [i8]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava:
FairEM360: A Suite for Responsible Entity Matching. CoRR abs/2404.07354 (2024) - [i7]Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. CoRR abs/2404.11782 (2024) - 2023
- [j4]Nima Shahbazi, Yin Lin
Representation Bias in Data: A Survey on Identification and Resolution Techniques. ACM Comput. Surv. 55(13s): 293:1-293:39 (2023) - [j3]Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. Proc. VLDB Endow. 16(11): 3279-3292 (2023) - [i6]Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh:
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources. CoRR abs/2305.02204 (2023) - [i5]Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh:
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. CoRR abs/2306.13868 (2023) - [i4]Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava:
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. CoRR abs/2307.02726 (2023) - [i3]Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos:
A Fair and Memory/Time-efficient Hashmap. CoRR abs/2307.11355 (2023) - 2022
- [j2]Nima Shahbazi, Jarek Gryz:
Upper bounds for can-tree and FP-tree. J. Intell. Inf. Syst. 58(1): 197-222 (2022) - [i2]Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish:
A Survey on Techniques for Identifying and Resolving Representation Bias in Data. CoRR abs/2203.11852 (2022) - [i1]Nima Shahbazi, Abolfazl Asudeh:
Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable. CoRR abs/2204.07682 (2022) - 2021
- [c7]Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh:
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD 2021: 5:1-5:10 - [c6]Abolfazl Asudeh, Nima Shahbazi
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. SIGMOD Conference 2021: 129-141 - 2020
- [c5]Nima Shahbazi, Jarek Gryz:
Upper Bound on the Size of FP-Tree. ADBIS 2020: 23-33 - [c4]Jarek Gryz, Nima Shahbazi:
Futility of a Right to Explanation. EDBT/ICDT Workshops 2020
2010 – 2019
- 2018
- [j1]Jennifer McArthur
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection. Adv. Eng. Informatics 38: 101-112 (2018) - [c3]Nima Shahbazi, Rohollah Soltani, Jarek Gryz:
Memory Efficient Frequent Itemset Mining. MLDM (2) 2018: 16-27 - 2016
- [c2]Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An:
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. MLDM 2016: 387-400
2000 – 2009
- 2007
- [c1]Nima Shahbazi, Hamid Sarbazi-Azad:
Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing. ICPADS 2007: 1-8
Coauthor Index
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