Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hong, Sungsoo Ray"'
Autor:
Yu, Liuchuan, Cheng, Ching-Yu, Ranc, William F, Dow, Joshua, Szilagyi, Michael, Huang, Haikun, Hong, Sungsoo Ray, Esmaeili, Behzad, Yu, Lap-Fai
Virtual reality is widely adopted for applications such as training, education, and collaboration. The construction industry, known for its complex projects and numerous personnel involved, relies heavily on effective collaboration. Setting up a real
Externí odkaz:
http://arxiv.org/abs/2410.23627
Autor:
Hong, Sungsoo Ray, Zampieri, Marcos, Hand, Brittany N., Motti, Vivian, Chung, Dongjun, Uzuner, Ozlem
The success of employment is highly related to a job seeker's capability of communicating and collaborating with others. While leveraging one's network during the job-seeking process is intuitive to the neurotypical, this can be challenging for peopl
Externí odkaz:
http://arxiv.org/abs/2405.06078
Autor:
Ara, Zinat, Salemi, Hossein, Hong, Sungsoo Ray, Senarath, Yasas, Peterson, Steve, Hughes, Amanda Lee, Purohit, Hemant
Data annotation interfaces predominantly leverage ground truth labels to guide annotators toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in domain-specific professional tasks, it has become increasingly important
Externí odkaz:
http://arxiv.org/abs/2403.01722
Autor:
Ara, Zinat, Ganguly, Amrita, Peppard, Donna, Chung, Dongjun, Vucetic, Slobodan, Motti, Vivian Genaro, Hong, Sungsoo Ray
Successful job search results from job seekers' well-shaped social communication. While well-known differences in communication exist between people with autism and neurotypicals, little is known about how people with autism collaborate with their so
Externí odkaz:
http://arxiv.org/abs/2403.01715
The widespread consumer-grade 3D printers and learning resources online enable novices to self-train in remote settings. While troubleshooting plays an essential part of 3D printing, the process remains challenging for many remote novices even with t
Externí odkaz:
http://arxiv.org/abs/2401.15877
Autor:
Sun, Tong Steven, Gao, Yuyang, Khaladkar, Shubham, Liu, Sijia, Zhao, Liang, Kim, Young-Ho, Hong, Sungsoo Ray
The local explanation provides heatmaps on images to explain how Convolutional Neural Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has been one of the most popular explainable AI (XAI) methods for diagnosing
Externí odkaz:
http://arxiv.org/abs/2307.04036
As the societal impact of Deep Neural Networks (DNNs) grows, the goals for advancing DNNs become more complex and diverse, ranging from improving a conventional model accuracy metric to infusing advanced human virtues such as fairness, accountability
Externí odkaz:
http://arxiv.org/abs/2212.03954
Publikováno v:
In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA
Despite the fast progress of explanation techniques in modern Deep Neural Networks (DNNs) where the main focus is handling "how to generate the explanations", advanced research questions that examine the quality of the explanation itself (e.g., "whet
Externí odkaz:
http://arxiv.org/abs/2206.13413
Autor:
Hong, Sungsoo Ray, Castelo, Sonia, D'Orazio, Vito, Benthune, Christopher, Santos, Aecio, Langevin, Scott, Jonker, David, Bertini, Enrico, Freire, Juliana
The use of Automated Machine Learning (AutoML) systems are highly open-ended and exploratory. While rigorously evaluating how end-users interact with AutoML is crucial, establishing a robust evaluation methodology for such exploratory systems is chal
Externí odkaz:
http://arxiv.org/abs/2009.00449
As the use of machine learning (ML) models in product development and data-driven decision-making processes became pervasive in many domains, people's focus on building a well-performing model has increasingly shifted to understanding how their model
Externí odkaz:
http://arxiv.org/abs/2004.11440