Weishi Shi

Heather Moses

Samuel A. Malachowsky

Daniel E. Krutz

ACM Trans. Softw. Eng. Methodol., February, 2024

2023

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Active Learning with Maximum Margin Sparse Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Bayesian learning model for design-phase service mashup popularity prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Experiential learning in computing accessibility education.

[BibT_eX]

[DOI]

Saad Khan

Yasmine N. El-Glaly

Samuel A. Malachowsky

Daniel E. Krutz

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Presenting and evaluating the impact of experiential learning in computing accessibility education.

[BibT_eX]

[DOI]

Yasmine N. El-Glaly

Samuel A. Malachowsky

Daniel E. Krutz

Proceedings of the ICSE-SEET 2020: 42nd International Conference on Software Engineering, Software Engineering Education and Training, Seoul, South Korea, 27 June, 2020

2019

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2019

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

From Novice to Expert Narratives of Dermatological Disease.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2017

Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation.

[BibT_eX]

[DOI]

Xumin Liu