Learning Parameters of Hybrid Time Bayesian Networks. - Manxia Liu; Arjen Hommersom; Maarten van der Heijden; Peter J. F. Lucas (Probabilistic Graphical Models, 2016)

Hybrid time Bayesian networks. - Manxia Liu; Arjen Hommersom; Maarten van der Heijden; Peter J. F. Lucas (Int. J. Approx. Reason., 2017)

Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas (IPMU (3), 2018)

Making Continuous Time Bayesian Networks More Flexible. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas (PGM, 2018)

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. - Manxia Liu; Fabio Stella; Arjen Hommersom; Peter J. F. Lucas; Lonneke Boer; Erik Bischoff (Artif. Intell. Medicine, 2019)

A Geomagnetic Sensor Dataset for Traffic Flow Prediction. - Huanchen Wang; Quanjun Chen; Zheng Dong 006; Xuan Song 001; Hao Tian; Donglong Yang; Manxia Liu (IEEE Big Data, 2022)