Highly comparative fetal heart rate analysis. - Ben D. Fulcher; Antoniya Georgieva; Christopher W. G. Redman; Nick S. Jones (EMBC, 2012)

Highly comparative time-series analysis: The empirical structure of time series and their methods. - Ben D. Fulcher; Max A. Little; Nick S. Jones (CoRR, 2013)

Mammalian Rest/Activity Patterns Explained by Physiologically Based Modeling. - Andrew J. K. Phillips; Ben D. Fulcher; Peter A. Robinson; Elizabeth B. Klerman (PLoS Comput. Biol., 2013)

Highly Comparative Feature-Based Time-Series Classification. - Ben D. Fulcher; Nick S. Jones (IEEE Trans. Knowl. Data Eng., 2014)

Automatic time-series phenotyping using massive feature extraction. - Ben D. Fulcher; Nick S. Jones (CoRR, 2016)

Feature-based time-series analysis. - Ben D. Fulcher (CoRR, 2017)

Consistency and differences between centrality metrics across distinct classes of networks. - Stuart Oldham; Ben D. Fulcher; Linden Parkes; Aurina Arnatkeviciute; Chao Suo; Alex Fornito (CoRR, 2018)

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI. - Linden Parkes; Ben D. Fulcher; Murat Yücel 001; Alex Fornito (NeuroImage, 2018)

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome. - Aurina Arnatkeviciute; Ben D. Fulcher; Roger Pocock; Alex Fornito (PLoS Comput. Biol., 2018)

Efficient peripheral nerve firing characterisation through massive feature extraction. - Carl Henning Lubba; Ben D. Fulcher; Simon R. Schultz; Nick S. Jones (NER, 2019)

catch22: CAnonical Time-series CHaracteristics. - Carl Henning Lubba; Sarab S. Sethi; Philip Knaute; Simon R. Schultz; Ben D. Fulcher; Nick S. Jones (CoRR, 2019)

CompEngine: a self-organizing, living library of time-series data. - Ben D. Fulcher; Carl Henning Lubba; Sarab S. Sethi; Nick S. Jones (CoRR, 2019)

catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis. - Carl Henning Lubba; Sarab S. Sethi; Philip Knaute; Simon R. Schultz; Ben D. Fulcher; Nick S. Jones (Data Min. Knowl. Discov., 2019)

A practical guide to linking brain-wide gene expression and neuroimaging data. - Aurina Arnatkeviciute; Ben D. Fulcher; Alex Fornito (NeuroImage, 2019)

Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series. - Oliver M. Cliff; Leonardo Novelli; Ben D. Fulcher; James M. Shine; Joseph T. Lizier (CoRR, 2020)

Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands. - Umair bin Waheed; Ahmed Shaheen; Mike Fehler; Ben D. Fulcher (CoRR, 2020)

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem. - Kevin M. Aquino; Ben D. Fulcher; Linden Parkes; Kristina Sabaroedin; Alex Fornito (NeuroImage, 2020)

Core and matrix thalamic sub-populations relate to spatio-temporal cortical connectivity gradients. - Eli J. Müller; Brandon R. Munn; Luke J. Hearne; Jared B. Smith; Ben D. Fulcher; Aurina Arnatkeviciute; Daniel J. Lurie; Luca Cocchi; James M. Shine (NeuroImage, 2020)

An Empirical Evaluation of Time-Series Feature Sets. - Trent Henderson; Ben D. Fulcher (ICDM (Workshops), 2021)

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. - James M. Shine; Mike Li; Oluwasanmi Koyejo; Ben D. Fulcher; Joseph T. Lizier (Brain Informatics, 2021)

Where the genome meets the connectome: Understanding how genes shape human brain connectivity. - Aurina Arnatkeviciute; Ben D. Fulcher; Mark A. Bellgrove; Alex Fornito (NeuroImage, 2021)

Scaling of gene transcriptional gradients with brain size across mouse development. - Hoi Yan Gladys Lau; Alex Fornito; Ben D. Fulcher (NeuroImage, 2021)

netneurolab/markello_transcriptome: 1.0 (Preprint release). - Ross D. Markello; Aurina Arnatkeviciute; Jean-Baptiste Poline; Ben D. Fulcher; Alex Fornito; Bratislav Misic (Zenodo, 2021)

Unifying Pairwise Interactions in Complex Dynamics. - Oliver M. Cliff; Joseph T. Lizier; Naotsugu Tsuchiya; Ben D. Fulcher (CoRR, 2022)

Feature-Based Time-Series Analysis in R using the theft Package. - Trent Henderson; Ben D. Fulcher (CoRR, 2022)

Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex. - Pok Him Siu; Eli J. Müller; Valerio Zerbi; Kevin M. Aquino; Ben D. Fulcher (Frontiers Comput. Neurosci., 2022)

On the intersection between data quality and dynamical modelling of large-scale fMRI signals. - Kevin M. Aquino; Ben D. Fulcher; Stuart Oldham; Linden Parkes; Leonardo L. Gollo; Gustavo Deco; Alex Fornito (NeuroImage, 2022)

Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification. - Trent Henderson; Annie G. Bryant; Ben D. Fulcher (CoRR, 2023)

On the information-theoretic formulation of network participation. - Pavle Cajic; Dominic Agius; Oliver M. Cliff; James M. Shine; Joseph T. Lizier; Ben D. Fulcher (CoRR, 2023)

Unifying pairwise interactions in complex dynamics. - Oliver M. Cliff; Annie G. Bryant; Joseph T. Lizier; Naotsugu Tsuchiya; Ben D. Fulcher (Nat. Comput. Sci., 2023)

A Virtual Reality Educational Game for the Ethics of Cultural Heritage Repatriation. - James Hutson; Ben D. Fulcher (Games Cult., 2023)

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series. - Aria Nguyen; Oscar McMullin; Joseph T. Lizier; Ben D. Fulcher (CoRR, 2024)

Parameter inference from a non-stationary unknown process. - Kieran S. Owens; Ben D. Fulcher (CoRR, 2024)

Using matrix-product states for time-series machine learning. - Joshua B. Moore; Hugo P. Stackhouse; Ben D. Fulcher; Sahand Mahmoodian (CoRR, 2024)

Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction. - Neil W. Bailey; Ben D. Fulcher; Bridget Caldwell; Aron T. Hill; Bernadette M. Fitzgibbon; Hanneke van Dijk; Paul B. Fitzgerald (Neural Networks, 2024)

Extracting interpretable signatures of whole-brain dynamics through systematic comparison. - Annie G. Bryant; Kevin M. Aquino; Linden Parkes; Alex Fornito; Ben D. Fulcher (PLoS Comput. Biol., 2024)

Unifying concepts in information-theoretic time-series analysis. - Annie G. Bryant; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)

Cross Mutual Information. - Chetan Gohil; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)