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Books and Theses
- 2019
[b1]Yunzhe Jia:
Pattern Aided Explainable Machine Learning. University of Melbourne, Parkville, Victoria, Australia, 2019
Journal Articles
- 2023
- [j2]Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet
, Bernhard Pfahringer:
teex: A toolbox for the evaluation of explanations. Neurocomputing 555: 126642 (2023) - 2020
- [j1]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma:
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62(3): 927-950 (2020)
Conference and Workshop Papers
- 2022
- [c6]Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia:
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS 2022 - 2021
- [c5]Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Jin Sean Lim:
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) 2021: 699-714 - 2020
- [c4]Jun Ni, Yunzhe Jia, Qiang Yin, Yongsheng Zhou, Fan Zhang:
Metric Learning Based Fine-Grained Classification for PolSAR Imagery. IGARSS 2020: 716-719 - 2019
- [c3]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle:
Improving the Quality of Explanations with Local Embedding Perturbations. KDD 2019: 875-884 - 2016
- [c2]Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson:
Accelerating Online CP Decompositions for Higher Order Tensors. KDD 2016: 1375-1384 - 2014
- [c1]Yingying She, Qian Wang, Yunzhe Jia, Ting Gu, Qun He, Baorong Yang:
A Real-Time Hand Gesture Recognition Approach Based on Motion Features of Feature Points. CSE 2014: 1096-1102
Informal and Other Publications
- 2022
- [i1]Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia:
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR abs/2209.13917 (2022)
Coauthor Index
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