James Bailey

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

A Zhu, Q Ke, M Gong, J Bailey

Conference Proceedings  |  2023  |  Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

Skeleton-based action recognition receives increasing attention because skeleton sequences reduce training complexity by eliminati..

A survey of automated data augmentation algorithms for deep learning-based image classification tasks

Z Yang, RO Sinnott, J Bailey, Q Ke

Journal article  |  2023  |  Knowledge and Information Systems

In recent years, one of the most popular techniques in the computer vision community has been the deep learning technique. As a da..

Deep Learning for Search and Recommendation

W Liu, K Xie, L Pang, J Bailey, L Cao, Y Zhang

Conference Proceedings  |  2022  |  International Conference on Information and Knowledge Management, Proceedings

In the current digital world, web search engines and recommendation systems are continuously evolving, opening up new potential ch..

Local Intrinsic Dimensionality, Entropy and Statistical Divergences

James Bailey, Michael E Houle, Xingjun Ma

Journal article  |  2022  |  ENTROPY

Properties of data distributions can be assessed at both global and local scales. At a highly localized scale, a fundamental measu..

A representation learning framework for detection and characterization of dead versus strain localization zones from pre-to post-failure

Antoinette Tordesillas, Shuo Zhou, James Bailey, Howard Bondell

Journal article  |  2022  |  GRANULAR MATTER

Abstract: Experiments have long shown that zones of near vanishing deformation, so-called “dead zones”, emerge and coexist with st..

A Divide and Conquer Algorithm for Predict Optimize with Non-convex Problems

AU Guler, E Demirović, J Chan, J Bailey, C Leckie, PJ Stuckey

Conference Proceedings  |  2022  |  Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022

The predict+optimize problem combines machine learning and combinatorial optimization by predicting the problem coefficients first..

To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-Taking

Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Ryan Kelly, Jason Lodge, James Bailey, Eduardo Velloso

Conference Proceedings  |  2022  |  Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems

Though recent technological advances have enabled note-taking through diffrent modalities (e.g., keyboard, digital ink, voice), th..

Integrating Gaze and Speech for Enabling Implicit Interactions

AA Khan, J Newn, J Bailey, E Velloso

Conference Proceedings  |  2022  |  Conference on Human Factors in Computing Systems - Proceedings

Gaze and speech are rich contextual sources of information that, when combined, can result in effective and rich multimodal intera..

De Novo Molecular Generation with Stacked Adversarial Model

Y Liu, J Bailey

Book Chapter  |  2022  |  Lecture Notes in Computer Science

Generating novel drug molecules with desired biological properties is a time consuming and complex task. Conditional generative ad..

MurTree: Optimal Decision Trees via Dynamic Programming and Search

Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J Stuckey

Journal article  |  2022  |  JOURNAL OF MACHINE LEARNING RESEARCH

Decision tree learning is a widely used approach in machine learning, favoured in applications that require concise and interpreta..