Kevin Hickey

According to our database, Kevin Hickey authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-task Learning with Pre-trained Language Models for Mental Illness Screening.

Avantika Shrestha, ML Tlachac, Ricardo Flores, Kevin Hickey, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2024

Screening Students for Stress Using Fitbit Data.

Rebecca Lopez, Avantika Shrestha, Kevin Hickey, Xingtong Guo, M. L. Tlachac, Shichao Liu, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Making sense of the black-boxes: Toward interpretable text classification using deep learning models.

Jie Tao, Lina Zhou, Kevin Hickey

J. Assoc. Inf. Sci. Technol., June, 2023

Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes.

Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu

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

Stabilizing Adversarial Training for Generative Networks.

Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2023

2020

Dissecting Moneyball: Improving Classification Model Interpretability in Baseball Pitch Prediction.

Kevin Hickey, Lina Zhou, Jie Tao

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020