Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Gita Sukthankar"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 2, Pp 125-146 (2020)
This paper explores the value of weak-ties in classifying academic literature with the use of graph convolutional neural networks. Our experiments look at the results of treating weak-ties as if they were strong-ties to determine if that assumption i
Externí odkaz:
https://doaj.org/article/99ee9bf3a7014577b5e879d8b2c0488f
Publikováno v:
The International FLAIRS Conference Proceedings. 36
Online video platforms receive hundreds of hours of uploads every minute, making manual content moderation impossible. Unfortunately, the most vulnerable consumers of malicious video content are children from ages 1-5 whose attention is easily captur
Publikováno v:
The International FLAIRS Conference Proceedings. 36
In humans, intrinsic motivation is an important mechanism for open-ended cognitive development; in robots, it has been shown to be valuable for exploration. An important aspect of human cognitive development is episodic memory which enables both the
Autor:
Ayesha Enayet, Gita Sukthankar
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Autor:
Marwan Omar, Gita Sukthankar
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Autor:
Ayesha Enayet, Gita Sukthankar
Publikováno v:
International Journal of Semantic Computing. 15:441-460
Good communication is indubitably the foundation of effective teamwork. Over time teams develop their own communication styles and often exhibit entrainment, a conversational phenomena in which humans synchronize their linguistic choices. Conversely,
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:2287-2292
This paper describes the development and empirical testing of an intelligent tutoring system (ITS) with two emerging methodologies: (1) a partially observable Markov decision process (POMDP) for representing the learner model and (2) inquiry modeling
Autor:
Fahad Shah, Gita Sukthankar
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:614-617
Humans are adept social animals capable of identifying friendship groups from a combination of linguistic cues and social network patterns. But what is more important, the content of what people say or their history of social interactions? Moreover,
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:1476-1480
As the complexity of aircraft cockpit operations increases, training effectiveness must be improved, and learning accelerated. Virtual reality (VR) training is increasingly offered as a method for improving training efficacy given its ability to prov
Publikováno v:
Topics in cognitive scienceReferences.
In this study, we explore the future of work by examining differences in productivity when teams are composed of only humans or both humans and machine agents. Our objective was to characterize the similarities and differences between human and human