research
∙
09/01/2023
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
Information presented in Wikipedia articles must be attributable to reli...
share
research
∙
08/30/2023
Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment
While measuring socioeconomic indicators is critical for local governmen...
research
∙
06/09/2023
Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network
Culture is a collection of connected and potentially interactive pattern...
research
∙
04/05/2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
Artificial intelligence (AI) systems can cause harm to people. This rese...
research
∙
03/15/2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Algorithmic fairness has become an important machine learning problem, e...
research
∙
03/09/2023
Longitudinal Assessment of Reference Quality on Wikipedia
Wikipedia plays a crucial role in the integrity of the Web. This work an...
research
∙
02/09/2023
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
Quotes are critical for establishing credibility in news articles. A dir...
research
∙
10/13/2022
Self-explaining deep models with logic rule reasoning
We present SELOR, a framework for integrating self-explaining capabiliti...
research
∙
07/19/2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
This paper presents FedX, an unsupervised federated learning framework. ...
research
∙
06/24/2022
Prediction of Football Player Value using Bayesian Ensemble Approach
The transfer fees of sports players have become astronomical. This is be...
research
∙
05/11/2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Decision-making algorithms are being used in important decisions, such a...
research
∙
05/03/2022
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
High-resolution daytime satellite imagery has become a promising source ...
research
∙
01/18/2022
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Knowledge of the changing traffic is critical in risk management. Custom...
research
∙
11/02/2021
Classification of Goods Using Text Descriptions With Sentences Retrieval
The task of assigning and validating internationally accepted commodity ...
research
∙
06/18/2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
Trigger set-based watermarking schemes have gained emerging attention as...
research
∙
04/22/2021
Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic
The COVID-19 pandemic has been damaging to the lives of people all aroun...
research
∙
03/29/2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Anomaly detection aims at identifying deviant instances from the normal ...
research
∙
02/01/2021
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
How to attribute responsibility for autonomous artificial intelligence (...
research
∙
01/15/2021
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
There is a growing need for data-driven research efforts on how the publ...
research
∙
12/21/2020
Improving Unsupervised Image Clustering With Robust Learning
Unsupervised image clustering methods often introduce alternative object...
research
∙
10/27/2020
Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning
Continual labeling of training examples is a costly task in supervised l...
research
∙
08/04/2020
Collecting the Public Perception of AI and Robot Rights
Whether to give rights to artificial intelligence (AI) and robots has be...
research
∙
06/15/2020
Public Willingness to Get Vaccinated Against COVID-19: How AI-Developed Vaccines Can Affect Acceptance
Vaccines for COVID-19 are currently under clinical trials. These vaccine...
research
∙
04/23/2020
Responsible AI and Its Stakeholders
Responsible Artificial Intelligence (AI) proposes a framework that holds...
research
∙
03/23/2020
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
In digital environments where substantial amounts of information are sha...
research
∙
03/13/2020
Explaining the Punishment Gap of AI and Robots
The European Parliament's proposal to create a new legal status for arti...
research
∙
02/26/2020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Unsupervised embedding learning aims to extract good representation from...
research
∙
12/18/2019
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Satellite imagery has long been an attractive data source that provides ...
research
∙
11/17/2018
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Some news headlines mislead readers with overrated or false information,...
research
∙
04/13/2017