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2024

Journal Article

A boosting framework for positive-unlabeled learning

Zhao, Yawen, Zhang, Mingzhe, Zhang, Chenhao, Chen, Weitong, Ye, Nan and Xu, Miao (2024). A boosting framework for positive-unlabeled learning. Statistics and Computing, 35 (1) 2. doi: 10.1007/s11222-024-10529-y

A boosting framework for positive-unlabeled learning

2024

Journal Article

Structured neural networks for CPUE standardization: A case study of the blue endeavour prawn in Australia's Northern Prawn Fishery

Lei, Yeming, Zhou, Shijie and Ye, Nan (2024). Structured neural networks for CPUE standardization: A case study of the blue endeavour prawn in Australia's Northern Prawn Fishery. Fisheries Research, 279 107140, 107140. doi: 10.1016/j.fishres.2024.107140

Structured neural networks for CPUE standardization: A case study of the blue endeavour prawn in Australia's Northern Prawn Fishery

2024

Journal Article

Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics

Snoswell, Aaron J., Snoswell, Centaine L. and Ye, Nan (2024). Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics. Frontiers in Digital Health, 6 1384248. doi: 10.3389/fdgth.2024.1384248

Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics

2024

Journal Article

Spatial-temporal neural networks for catch rate standardization and fish distribution modeling

Lei, Yeming, Zhou, Shijie and Ye, Nan (2024). Spatial-temporal neural networks for catch rate standardization and fish distribution modeling. Fisheries Research, 278 107097, 107097. doi: 10.1016/j.fishres.2024.107097

Spatial-temporal neural networks for catch rate standardization and fish distribution modeling

2024

Journal Article

Adaptive discretization using Voronoi trees for continuous pOMDPs

Hoerger, Marcus, Kurniawati, Hanna, Kroese, Dirk and Ye, Nan (2024). Adaptive discretization using Voronoi trees for continuous pOMDPs. The International Journal of Robotics Research, 43 (9), 1283-1298. doi: 10.1177/02783649231188984

Adaptive discretization using Voronoi trees for continuous pOMDPs

2023

Journal Article

Blockwise acceleration of alternating least squares for canonical tensor decomposition

Evans, David and Ye, Nan (2023). Blockwise acceleration of alternating least squares for canonical tensor decomposition. Numerical Linear Algebra with Applications, 30 (6) e2516. doi: 10.1002/nla.2516

Blockwise acceleration of alternating least squares for canonical tensor decomposition

2023

Journal Article

Multi-pass Bayesian estimation: a robust Bayesian method

Lei, Yeming, Zhou, Shijie, Filar, Jerzy and Ye, Nan (2023). Multi-pass Bayesian estimation: a robust Bayesian method. Computational Statistics, 39 (4), 2183-2216. doi: 10.1007/s00180-023-01390-0

Multi-pass Bayesian estimation: a robust Bayesian method

2023

Journal Article

Model‐based offline reinforcement learning for sustainable fishery management

Ju, Jun, Kurniawati, Hanna, Kroese, Dirk and Ye, Nan (2023). Model‐based offline reinforcement learning for sustainable fishery management. Expert Systems, 42 (1) e13324. doi: 10.1111/exsy.13324

Model‐based offline reinforcement learning for sustainable fishery management

2020

Journal Article

Reading both single and multiple digital video clocks using context-aware pixel periodicity and deep learning

Yu, Xinguo, Song, Wu, Lyu, Xiaopan, He, Bin and Ye, Nan (2020). Reading both single and multiple digital video clocks using context-aware pixel periodicity and deep learning. International Journal of Digital Crime and Forensics, 12 (2), 21-39. doi: 10.4018/IJDCF.2020040102

Reading both single and multiple digital video clocks using context-aware pixel periodicity and deep learning

2020

Journal Article

Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms

Mitchell, Drew, Ye, Nan and De Sterck, Hans (2020). Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms. Numerical Linear Algebra with Applications, 27 (4) e2297. doi: 10.1002/nla.2297

Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms

2019

Journal Article

Preface

Avrachenkov, Konstantin, Prałat, Paweł and Ye, Nan (2019). Preface. Lecture Notes in Computer Science, 11631 LNCS.

Preface

2018

Journal Article

A framework for solving explicit arithmetic word problems and proving plane geometry theorems

Yu, Xinguo, Wang, Mingshu, Gan, Wenbin, He, Bin and Ye, Nan (2018). A framework for solving explicit arithmetic word problems and proving plane geometry theorems. International Journal of Pattern Recognition and Artificial Intelligence, 33 (7) 1940005, 1940005. doi: 10.1142/S0218001419400056

A framework for solving explicit arithmetic word problems and proving plane geometry theorems

2017

Journal Article

DESPOT: Online POMDP Planning with Regularization

Ye, Nan, Somani, Adhiraj, Hsu, David and Lee, Wee Sun (2017). DESPOT: Online POMDP Planning with Regularization. The Journal of Artificial Intelligence Research, 58, 231-266. doi: 10.1613/jair.5328

DESPOT: Online POMDP Planning with Regularization

2014

Journal Article

Conditional random field with high-order dependencies for sequence labeling and segmentation

Nguyen Viet Cuong, Ye, Nan, Lee, Wee Sun and Chieu, Hai Leong (2014). Conditional random field with high-order dependencies for sequence labeling and segmentation. Journal of Machine Learning Research, 15, 981-1009.

Conditional random field with high-order dependencies for sequence labeling and segmentation

2008

Journal Article

Prescribed learning of indexed families

Jain, Sanjay, Stephan, Frank and Nan, Ye (2008). Prescribed learning of indexed families. Fundamenta Informaticae, 83 (1-2), 159-175.

Prescribed learning of indexed families