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20142025
most citedDesigning Fair Ranking Schemes

162 citations · 630 across the 36 of their papers we have counts for

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17 papers · 1 filter

cs.DB2025

Unbiased Binning for Fairness-aware Attribute Representation

Abolfazl Asudeh, Zeinab Asoodeh, Bita Asoodeh +1

Discretizing raw features into bucketized attribute representations is a popular step before sharing a dataset. It is, however, evident that this step can cause significant bias in…

cs.DB2024

FairEM360: A Suite for Responsible Entity Matching

Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh +2

Entity matching is one the earliest tasks that occur in the big data pipeline and is alarmingly exposed to unintentional biases that affect the quality of data. Identifying and mit…

cs.DB2023★ 1 cited

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

Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian +2

Entity matching (EM) is a challenging problem studied by different communities for over half a century. Algorithmic fairness has also become a timely topic to address machine bias…

cs.DB2023

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

Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh

Existing machine learning models have proven to fail when it comes to their performance for minority groups, mainly due to biases in data. In particular, datasets, especially socia…

cs.DB2022

Reliability Evaluation of Individual Predictions: A Data-centric Approach

Nima Shahbazi, Abolfazl Asudeh

Machine learning models only provide probabilistic guarantees on the expected loss of random samples from the distribution represented by their training data. As a result, a model…

cs.DB2022★ 121 cited

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

Nima Shahbazi, Yin Lin, Abolfazl Asudeh +1

Data-driven algorithms are only as good as the data they work with, while data sets, especially social data, often fail to represent minorities adequately. Representation Bias in d…

cs.DB2020

MithraDetective: A System for Cherry-picked Trendlines Detection

Yoko Nagafuchi, Yin Lin, Kaushal Mamgain +5

Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values ov…

cs.DB2018★ 99 cited

Assessing and Remedying Coverage for a Given Dataset

Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish

Data analysis impacts virtually every aspect of our society today. Often, this analysis is performed on an existing dataset, possibly collected through a process that the data scie…

cs.DB2018

QR2: A Third-party Query Reranking Service Over Web Databases

Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani +3

The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, i…

cs.DB2018★ 34 cited

On Obtaining Stable Rankings

Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau +1

Decision making is challenging when there is more than one criterion to consider. In such cases, it is common to assign a goodness score to each item as a weighted sum of its attri…

cs.DB2018★ 31 cited

RRR: Rank-Regret Representative

Abolfazl Asudeh, Azade Nazi, Nan Zhang +2

Selecting the best items in a dataset is a common task in data exploration. However, the concept of "best" lies in the eyes of the beholder: different users may consider different…

cs.DB2018★ 162 cited

Designing Fair Ranking Schemes

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich +1

Items from a database are often ranked based on a combination of multiple criteria. A user may have the flexibility to accept combinations that weigh these criteria differently, wi…

cs.DB2017★ 1 cited

Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes

Abolfazl Asudeh, Azade Nazi, Nick Koudas +1

Peer to peer marketplaces such as AirBnB enable transactional exchange of services directly between people. In such platforms, those providing a service (hosts in AirBnB) are faced…

cs.DB2017

Efficient Computation of Subspace Skyline over Categorical Domains

Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas +1

Platforms such as AirBnB, Zillow, Yelp, and related sites have transformed the way we search for accommodation, restaurants, etc. The underlying datasets in such applications have…

cs.DB2016★ 10 cited

Query Reranking As A Service

Abolfazl Asudeh, Nan Zhang, Gautam Das

The ranked retrieval model has rapidly become the de facto way for search query processing in client-server databases, especially those on the web. Despite of the extensive efforts…

cs.DB2015★ 10 cited

Discovering the Skyline of Web Databases

Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang +1

Many web databases are "hidden" behind proprietary search interfaces that enforce the top- output constraint, i.e., each query returns at most of all matching tuples, prefer…

cs.DB2014★ 12 cited

Generating Preview Tables for Entity Graphs

Ning Yan, Sona Hasani, Abolfazl Asudeh +1

Users are tapping into massive, heterogeneous entity graphs for many applications. It is challenging to select entity graphs for a particular need, given abundant datasets from man…