99 citations · 195 across the 10 of their papers we have counts for
10 papers
Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)
Pouria Salehi, Yang Ba, Nayoung Kim +10
The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, w…
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data
Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng +2
With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users…
Estimating Topic Exposure for Under-Represented Users on Social Media
Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth +1
Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely…
Domain Adaptive Fake News Detection via Reinforcement Learning
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu +2
With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate…
Causal Learning for Socially Responsible AI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth +1
There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes,…
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?
Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V Mancenido +1
Neural network-based embeddings have been the mainstream approach for creating a vector representation of the text to capture lexical and semantic similarities and dissimilarities.…
ParsiNLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri +22
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich l…
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
Nowadays, there exist powerful language models such as OpenAI's GPT-2 that can generate readable text and can be fine-tuned to generate text for a specific domain. Considering GPT-…
Toward Privacy and Utility Preserving Image Representation
Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido +1
Face images are rich data items that are useful and can easily be collected in many applications, such as in 1-to-1 face verification tasks in the domain of security and surveillan…
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo +3
Recommendation is one of the critical applications that helps users find information relevant to their interests. However, a malicious attacker can infer users' private information…