- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources5
- Resource Type
-
0005000000000000
- More
- Availability
-
50
- Author / Contributor
- Filter by Author / Creator
-
-
Titung, Rajesh (5)
-
Alm, Cecilia (2)
-
Alm, Cecilia O. (2)
-
Bailey, Reynold (2)
-
Arthur, Isabelle (1)
-
Quinn, Jordan (1)
-
#Tyler Phillips, Kenneth E. (0)
-
#Willis, Ciara (0)
-
& Abreu-Ramos, E. D. (0)
-
& Abramson, C. I. (0)
-
& Abreu-Ramos, E. D. (0)
-
& Adams, S.G. (0)
-
& Ahmed, K. (0)
-
& Ahmed, Khadija. (0)
-
& Aina, D.K. Jr. (0)
-
& Akcil-Okan, O. (0)
-
& Akuom, D. (0)
-
& Aleven, V. (0)
-
& Andrews-Larson, C. (0)
-
& Archibald, J. (0)
-
- Filter by Editor
-
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Brennan K. (0)
-
& Brennan, K. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Sahin. I. (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
(submitted - in Review for IEEE ICASSP-2024) (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
Arthur, Isabelle; Quinn, Jordan; Titung, Rajesh; Alm, Cecilia O.; Bailey, Reynold (, 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW))
-
Titung, Rajesh (, 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW))
-
Titung, Rajesh; Alm, Cecilia (, me: Proceedings of the Second Workshop on Bridging Human-Computer Interaction and Natural Language Processing)Motivated by prior literature, we provide a proof of concept simulation study for an understudied interactive machine learning method, machine teaching (MT), for the text-based emotion prediction task. We compare this method experimentally against a more well-studied technique, active learning (AL). Results show the strengths of both approaches over more resource-intensive offline supervised learning. Additionally, applying AL and MT to fine-tune a pre-trained model offers further efficiency gain. We end by recommending research directions which aim to empower users in the learning process.more » « less
-
Alm, Cecilia O.; Titung, Rajesh; Bailey, Reynold (, SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education)
An official website of the United States government

Full Text Available