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2020 – today
- 2025
[j32]Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh:
Finding representative group fairness metrics using correlation estimations. Expert Syst. Appl. 262: 125652 (2025)- [c28]Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh:
Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons. EDBT 2025: 185-198 - 2024
- [j31]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) - [j30]Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh:
FairHash: A Fair and Memory/Time-efficient Hashmap. Proc. ACM Manag. Data 2(3): 136 (2024) - [j29]Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh:
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. Proc. VLDB Endow. 17(11): 3470-3483 (2024) - [j28]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) - [j27]Nima Shahbazi, Abolfazl Asudeh:
Reliability evaluation of individual predictions: a data-centric approach. VLDB J. 33(4): 1203-1230 (2024) - [j26]Jiwon Chang, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Data distribution tailoring revisited: cost-efficient integration of representative data. VLDB J. 33(5): 1283-1306 (2024) - [c27]Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh:
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. EDBT 2024: 47-60 - [c26]Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Shapley Values for Explanation in Two-sided Matching Applications. EDBT 2024: 584-596 - [c25]Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh:
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. NAACL-HLT (Findings) 2024: 549-560 - [c24]Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann:
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion 2024: 661-662 - [i37]Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh:
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. CoRR abs/2402.01071 (2024) - [i36]Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR abs/2403.00198 (2024) - [i35]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava:
FairEM360: A Suite for Responsible Entity Matching. CoRR abs/2404.07354 (2024) - [i34]Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh:
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. CoRR abs/2404.11782 (2024) - [i33]Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh:
Fair Set Cover. CoRR abs/2405.11639 (2024) - 2023
- [j25]Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos:
Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. Algorithmica 85(5): 1287-1331 (2023) - [j24]Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish:
Representation Bias in Data: A Survey on Identification and Resolution Techniques. ACM Comput. Surv. 55(13s): 293:1-293:39 (2023) - [j23]Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava:
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. Proc. VLDB Endow. 16(11): 3279-3292 (2023) - [c23]Rishi Advani, Paolo Papotti, Abolfazl Asudeh:
Maximizing Neutrality in News Ordering. KDD 2023: 11-24 - [c22]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Next-generation Challenges of Responsible Data Integration. WSDM 2023: 1256-1259 - [i32]Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh, Abolfazl Asudeh:
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness. CoRR abs/2304.04679 (2023) - [i31]Khanh-Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh:
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources. CoRR abs/2305.02204 (2023) - [i30]Rishi Advani, Paolo Papotti, Abolfazl Asudeh:
Maximizing Neutrality in News Ordering. CoRR abs/2305.15790 (2023) - [i29]Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh:
Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation. CoRR abs/2306.09293 (2023) - [i28]Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh:
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. CoRR abs/2306.13868 (2023) - [i27]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) - [i26]Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh, Gautam Das:
Efficient Strongly Polynomial Algorithms for Quantile Regression. CoRR abs/2307.08706 (2023) - [i25]Abolfazl Asudeh, Nima Shahbazi, Stavros Sintos:
A Fair and Memory/Time-efficient Hashmap. CoRR abs/2307.11355 (2023) - [i24]Rishi Advani, Abolfazl Asudeh:
Online Maximum Independent Set of Hyperrectangles. CoRR abs/2307.13261 (2023) - [i23]Mohit Singhal, Javier Pacheco, Tanushree Debi, Seyyed Mohammad Sadegh Moosavi Khorzooghi, Abolfazl Asudeh, Gautam Das, Shirin Nilizadeh:
Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness. CoRR abs/2308.02129 (2023) - 2022
- [j22]Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan:
Fair active learning. Expert Syst. Appl. 199: 116981 (2022) - [j21]Ian P. Swift, Sana Ebrahimi, Azade Nova, Abolfazl Asudeh:
Maximizing Fair Content Spread via Edge Suggestion in Social Networks. Proc. VLDB Endow. 15(11): 2692-2705 (2022) - [j20]Abolfazl Asudeh, Fatemeh Nargesian:
Towards Distribution-aware Query Answering in Data Markets. Proc. VLDB Endow. 15(11): 3137-3144 (2022) - [j19]Abolfazl Asudeh, Gautam Das, H. V. Jagadish, Shangqi Lu, Azade Nazi, Yufei Tao, Nan Zhang, Jianwen Zhao:
On Finding Rank Regret Representatives. ACM Trans. Database Syst. 47(3): 10:1-10:37 (2022) - [c21]Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Fairness-Aware Range Queries for Selecting Unbiased Data. ICDE 2022: 1423-1436 - [c20]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Responsible Data Integration: Next-generation Challenges. SIGMOD Conference 2022: 2458-2464 - [i22]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) - [i21]Nima Shahbazi, Abolfazl Asudeh:
Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable. CoRR abs/2204.07682 (2022) - [i20]Ian P. Swift, Sana Ebrahimi, Azade Nova, Abolfazl Asudeh:
Maximizing Fair Content Spread via Edge Suggestion in Social Networks. CoRR abs/2207.07704 (2022) - 2021
- [j18]Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable signal reconstruction for a broad range of applications. Commun. ACM 64(2): 106-115 (2021) - [j17]Abolfazl Asudeh, You Wu, Cong Yu, H. V. Jagadish:
Perturbation-based Detection and Resolution of Cherry-picking. IEEE Data Eng. Bull. 44(3): 52-65 (2021) - [j16]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Tailoring Data Source Distributions for Fairness-aware Data Integration. Proc. VLDB Endow. 14(11): 2519-2532 (2021) - [c19]Matteo Corain, Paolo Garza, Abolfazl Asudeh:
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. ICDE 2021: 37-48 - [c18]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 - [c17]Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish:
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. SIGMOD Conference 2021: 129-141 - [c16]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference 2021: 2076-2088 - [i19]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR abs/2103.09055 (2021) - [i18]Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh:
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context. CoRR abs/2109.05697 (2021) - 2020
- [j15]Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu:
On Detecting Cherry-picked Trendlines. Proc. VLDB Endow. 13(6): 939-952 (2020) - [j14]Yin Lin, Yifan Guan, Abolfazl Asudeh, H. V. Jagadish:
Identifying Insufficient Data Coverage in Databases with Multiple Relations. Proc. VLDB Endow. 13(11): 2229-2242 (2020) - [j13]Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13(12): 2977-2980 (2020) - [j12]Abolfazl Asudeh, H. V. Jagadish:
Fairly Evaluating and Scoring Items in a Data Set. Proc. VLDB Endow. 13(12): 3445-3448 (2020) - [j11]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable algorithms for signal reconstruction by leveraging similarity joins. VLDB J. 29(2-3): 681-707 (2020) - [c15]Zhongjun Jin, Mengjing Xu, Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish:
MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness. SIGMOD Conference 2020: 2721-2724 - [i17]Hadis Anahideh, Abolfazl Asudeh:
Fair Active Learning. CoRR abs/2001.01796 (2020) - [i16]Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos:
Maximizing coverage while ensuring fairness: a tale of conflicting objective. CoRR abs/2007.08069 (2020) - [i15]Yoko Nagafuchi, Yin Lin, Kaushal Mamgain, Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu:
MithraDetective: A System for Cherry-picked Trendlines Detection. CoRR abs/2010.08807 (2020)
2010 – 2019
- 2019
- [j10]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich:
Towards Responsible Data-driven Decision Making in Score-Based Systems. IEEE Data Eng. Bull. 42(3): 76-87 (2019) - [j9]Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Proc. VLDB Endow. 12(12): 1906-1909 (2019) - [j8]Suraj Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das:
A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems. Proc. VLDB Endow. 13(3): 239-251 (2019) - [j7]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48(1): 42-49 (2019) - [c14]Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich:
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. CIKM 2019: 2893-2896 - [c13]Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish:
Assessing and Remedying Coverage for a Given Dataset. ICDE 2019: 554-565 - [c12]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) 2019: 327-345 - [c11]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. SIGMOD Conference 2019: 263-280 - [c10]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das:
Designing Fair Ranking Schemes. SIGMOD Conference 2019: 1259-1276 - [c9]Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das:
MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference 2019: 1913-1916 - [i14]Abolfazl Asudeh, H. V. Jagadish:
Responsible Scoring Mechanisms Through Function Sampling. CoRR abs/1911.10073 (2019) - 2018
- [j6]Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11(10): 1276-1288 (2018) - [j5]Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11(11): 1468-1481 (2018) - [j4]Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich:
On Obtaining Stable Rankings. Proc. VLDB Endow. 12(3): 237-250 (2018) - [c8]Yeshwanth Durairaj Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das:
QR2: A Third-Party Query Reranking Service over Web Databases. ICDE 2018: 1653-1656 - [c7]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. SIGMOD Conference 2018: 1773-1776 - [i13]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. CoRR abs/1802.10303 (2018) - [i12]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. CoRR abs/1804.07890 (2018) - [i11]Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich:
On Obtaining Stable Rankings. CoRR abs/1804.10990 (2018) - [i10]Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das:
QR2: A Third-party Query Reranking Service Over Web Databases. CoRR abs/1807.05258 (2018) - [i9]Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish:
Assessing and Remedying Coverage for a Given Dataset. CoRR abs/1810.06742 (2018) - 2017
- [c6]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM 2017: 407-416 - [c5]Azade Nazi, Abolfazl Asudeh, Gautam Das, Nan Zhang, Ali Jaoua:
MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases. ICCA 2017: 13-17 - [c4]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das:
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative. SIGMOD Conference 2017: 821-834 - [i8]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR abs/1703.00080 (2017) - [i7]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR abs/1705.03028 (2017) - [i6]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das:
Designing Fair Ranking Schemes. CoRR abs/1712.09752 (2017) - 2016
- [j3]Abolfazl Asudeh, Gergely V. Záruba, Sajal K. Das:
A general model for MAC protocol selection in wireless sensor networks. Ad Hoc Networks 36: 189-202 (2016) - [j2]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. Proc. VLDB Endow. 9(7): 600-611 (2016) - [j1]Abolfazl Asudeh, Nan Zhang, Gautam Das:
Query Reranking As A Service. Proc. VLDB Endow. 9(11): 888-899 (2016) - [c3]Ning Yan, Sona Hasani, Abolfazl Asudeh, Chengkai Li:
Generating Preview Tables for Entity Graphs. SIGMOD Conference 2016: 1797-1811 - [i5]Abolfazl Asudeh, Nan Zhang, Gautam Das:
Query Reranking As A Service. CoRR abs/1602.05100 (2016) - 2015
- [c2]Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba:
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons. CIKM 2015: 753-762 - [i4]Abolfazl Asudeh, Gergely V. Záruba, Sajal K. Das:
A General Model for MAC Protocol Selection in Wireless Sensor Networks. CoRR abs/1501.01657 (2015) - [i3]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. CoRR abs/1512.02138 (2015) - 2014
- [i2]Ning Yan, Abolfazl Asudeh, Chengkai Li:
Generating Preview Tables for Entity Graphs. CoRR abs/1403.5006 (2014) - [i1]Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, Gergely V. Záruba:
Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. CoRR abs/1409.4161 (2014)
2000 – 2009
- 2008
- [c1]Abolfazl Asudeh, Ali Movaghar:
MEHR: Multi-Hop Energy-Aware Hierarchical Routing for Wireless Sensor Networks. NTMS 2008: 1-6
Coauthor Index
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