Fair graph mining
In today's increasingly connected world, graph mining plays a pivotal role in many real-world
application domains, including social network analysis, recommendations, marketing and …
application domains, including social network analysis, recommendations, marketing and …
Graph vulnerability and robustness: A survey
The study of network robustness is a critical tool in the characterization and sense making of
complex interconnected systems such as infrastructure, communication and social networks …
complex interconnected systems such as infrastructure, communication and social networks …
A survey of human‐centered evaluations in human‐centered machine learning
Visual analytics systems integrate interactive visualizations and machine learning to enable
expert users to solve complex analysis tasks. Applications combine techniques from various …
expert users to solve complex analysis tasks. Applications combine techniques from various …
Fairrankvis: A visual analytics framework for exploring algorithmic fairness in graph mining models
Graph mining is an essential component of recommender systems and search engines.
Outputs of graph mining models typically provide a ranked list sorted by each item's …
Outputs of graph mining models typically provide a ranked list sorted by each item's …
A design space for explainable ranking and ranking models
Item ranking systems support users in multi-criteria decision-making tasks. Users need to
trust rankings and ranking algorithms to reflect user preferences nicely while avoiding …
trust rankings and ranking algorithms to reflect user preferences nicely while avoiding …
Interpretable Code Summarization
Code summarization is a process of creating a readable natural language from
programming source codes. Code summarization has become a popular research topic for …
programming source codes. Code summarization has become a popular research topic for …
Explaining the Vulnerabilities of Machine Learning through Visual Analytics
T Xie - 2023 - search.proquest.com
Abstract Machine learning models are increasingly being deployed in real-world
applications where their predictions are used to make critical decisions in a variety of …
applications where their predictions are used to make critical decisions in a variety of …
The Visual Analytics and Data Exploration Research Lab at Arizona State University
This article describes the research agenda for the Visual Analytics and Data Exploration
Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab …
Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab …
[图书][B] Fairness in Social Network Analysis: Measures and Algorithms
FM Shalmani - 2021 - search.proquest.com
The use of machine learning in human subject-related tasks has resulted in growing
concerns about the inherent biases within such automated decision-making algorithms. In …
concerns about the inherent biases within such automated decision-making algorithms. In …
Algorithmic foundation of fair graph mining
J Kang - 2023 - ideals.illinois.edu
In an increasingly connected world, graph mining plays a fundamental role in many real-
world applications, such as financial fraud detection, drug discovery, traffic prediction, and …
world applications, such as financial fraud detection, drug discovery, traffic prediction, and …