Search Results for author: Meeyoung Cha

Found 27 papers, 10 papers with code

A Risk Communication Event Detection Model via Contrastive Learning

no code implementations NLP4IF (COLING) 2020 Mingi Shin, Sungwon Han, Sungkyu Park, Meeyoung Cha

This paper presents a time-topic cohesive model describing the communication patterns on the coronavirus pandemic from three Asian countries.

Contrastive Learning Event Detection

Prediction of Football Player Value using Bayesian Ensemble Approach

no code implementations24 Jun 2022 Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha

To predict each player's market value, we propose an improved LightGBM model by optimizing its hyperparameter using a Tree-structured Parzen Estimator (TPE) algorithm.

Hyperparameter Optimization

The Conflict Between Explainable and Accountable Decision-Making Algorithms

no code implementations11 May 2022 Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong, Meeyoung Cha

Furthermore, we argue that XAI could result in incorrect attributions of responsibility to vulnerable stakeholders, such as those who are subjected to algorithmic decisions (i. e., patients), due to a misguided perception that they have control over explainable algorithms.

Decision Making Explainable artificial intelligence

Classification of Goods Using Text Descriptions With Sentences Retrieval

no code implementations2 Nov 2021 Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim

The task of assigning and validating internationally accepted commodity code (HS code) to traded goods is one of the critical functions at the customs office.

Classification Code Classification

Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks

no code implementations18 Jun 2021 Suyoung Lee, Wonho Song, Suman Jana, Meeyoung Cha, Sooel Son

Trigger set-based watermarking schemes have gained emerging attention as they provide a means to prove ownership for deep neural network model owners.

Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making

no code implementations1 Feb 2021 Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha

How to attribute responsibility for autonomous artificial intelligence (AI) systems' actions has been widely debated across the humanities and social science disciplines.

Decision Making

Descriptive AI Ethics: Collecting and Understanding the Public Opinion

no code implementations15 Jan 2021 Gabriel Lima, Meeyoung Cha

There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems.

Improving Unsupervised Image Clustering With Robust Learning

1 code implementation CVPR 2021 Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results.

Image Clustering Unsupervised Image Classification

Active Learning for Human-in-the-Loop Customs Inspection

1 code implementation27 Oct 2020 Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha

We study the human-in-the-loop customs inspection scenario, where an AI-assisted algorithm supports customs officers by recommending a set of imported goods to be inspected.

Active Learning Fraud Detection

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection

1 code implementation KDD 2020 Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha

Intentional manipulation of invoices that lead to undervaluation of trade goods is the most common type of customs fraud to avoid ad valorem duties and taxes.

Fraud Detection Multi-target regression +1

Collecting the Public Perception of AI and Robot Rights

1 code implementation4 Aug 2020 Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha

Whether to give rights to artificial intelligence (AI) and robots has been a sensitive topic since the European Parliament proposed advanced robots could be granted "electronic personalities."

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter

1 code implementation22 Jun 2020 Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha

This finding calls for a need to analyze the public discourse by new measures, such as topical dynamics.

Social and Information Networks

COVID-19 Vaccine Acceptance in the US and UK in the Early Phase of the Pandemic: AI-Generated Vaccines Hesitancy for Minors, and the Role of Governments

no code implementations15 Jun 2020 Gabriel Lima, Meeyoung Cha, Chiyoung Cha, Hyeyoung Hwang

This study presents survey results of the public's willingness to get vaccinated against COVID-19 during an early phase of the pandemic and examines factors that could influence vaccine acceptance based on a between-subjects design.

Responsible AI and Its Stakeholders

no code implementations23 Apr 2020 Gabriel Lima, Meeyoung Cha

Responsible Artificial Intelligence (AI) proposes a framework that holds all stakeholders involved in the development of AI to be responsible for their systems.

Self-Learning

"Trust me, I have a Ph.D.": A Propensity Score Analysis on the Halo Effect of Disclosing One's Offline Social Status in Online Communities

no code implementations31 Mar 2020 Kunwoo Park, Haewoon Kwak, Hyunho Song, Meeyoung Cha

The results show that exposing academic degrees is likely to lead to higher audience votes as well as larger discussion size, compared to the users without the disclosed identities, in a community that covers peer-reviewed scientific articles.

Social and Information Networks

BaitWatcher: A lightweight web interface for the detection of incongruent news headlines

no code implementations23 Mar 2020 Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung

In digital environments where substantial amounts of information are shared online, news headlines play essential roles in the selection and diffusion of news articles.

Misinformation

The Conflict Between People's Urge to Punish AI and Legal Systems

no code implementations13 Mar 2020 Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyungsin Park

Regulating artificial intelligence (AI) has become necessary in light of its deployment in high-risk scenarios.

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm

1 code implementation26 Feb 2020 Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li

Unsupervised embedding learning aims to extract good representation from data without the need for any manual labels, which has been a critical challenge in many supervised learning tasks.

Data Augmentation Image Classification

Lightweight and Robust Representation of Economic Scales from Satellite Imagery

1 code implementation18 Dec 2019 Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha

Satellite imagery has long been an attractive data source that provides a wealth of information on human-inhabited areas.

Super-Resolution Transfer Learning

Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

2 code implementations17 Nov 2018 Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung

Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume.

Data Augmentation Fake News Detection +2

Fashion Conversation Data on Instagram

no code implementations13 Apr 2017 Yu-I Ha, Sejeong Kwon, Meeyoung Cha, Jungseock Joo

The fashion industry is establishing its presence on a number of visual-centric social media like Instagram.

Comparing and Combining Sentiment Analysis Methods

no code implementations30 May 2014 Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto, Meeyoung Cha

Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services, and simply to better understand aspects of social communication in Online Social Networks (OSNs).

Sentiment Analysis

PANAS-t: A Pychometric Scale for Measuring Sentiments on Twitter

2 code implementations8 Aug 2013 Pollyanna Gonçalves, Fabrício Benevenuto, Meeyoung Cha

Online social networks have become a major communication platform, where people share their thoughts and opinions about any topic real-time.

Social and Information Networks Physics and Society

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