Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics. - Benjamin Lucas; Ahmed Shamsul Arefin; Natalie Jane de Vries; Regina Berretta; Jamie Carlson; Pablo Moscato (BDCloud, 2014)

Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement. - Natalie Jane de Vries; Ahmed Shamsul Arefin; Luke Mathieson; Benjamin Lucas; Pablo Moscato (ADMA, 2016)

Comparing the German Emergency Department Medical Record with the US HL7 Data Elements for Emergency Department Systems. - Dominik Brammen; Paul Eggert; Benjamin Lucas; Laura Heermann Langford; James C. McClay (MIE, 2018)

Measuring Interaction Proxemics with Wearable Light Tags. - Alessandro Montanari; Tian Zhao 003; Elena Francu; Benjamin Lucas; Brian Jones; Xia Zhou; Cecilia Mascolo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Implementation of Emergency Department Performance Benchmarking Using R and LaTeX. - Ronny Otto; Wiebke Schirrmeister; Raphael W. Majeed; Felix Greiner; Benjamin Lucas; Rainer Röhrig; Felix Walcher; Dominik Brammen (GMDS, 2019)

Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series. - Benjamin Lucas; Charlotte Pelletier; Jordi Inglada; Daniel F. Schmidt; Geoffrey I. Webb; François Petitjean (MultiTemp, 2019)

Proximity Forest: an effective and scalable distance-based classifier for time series. - Benjamin Lucas; Ahmed Shifaz; Charlotte Pelletier; Lachlan O'Neill; Nayyar Abbas Zaidi; Bart Goethals; François Petitjean; Geoffrey I. Webb (Data Min. Knowl. Discov., 2019)

Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series. - Benjamin Lucas; Charlotte Pelletier; Daniel F. Schmidt; Geoffrey I. Webb; François Petitjean (IGARSS, 2020)

FIMS: Identifying, Predicting and Visualising Food Insecurity. - Georgiana Nica-Avram; John Harvey; James Goulding; Benjamin Lucas; Andrew Smith; Gavin Smith; Bertrand Perrat (WWW (Companion Volume), 2020)

Online Information Search During COVID-19. - Benjamin Lucas; Brendan Elliot; Todd Landman (CoRR, 2020)

A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping. - Benjamin Lucas; Charlotte Pelletier; Daniel F. Schmidt; Geoffrey I. Webb; François Petitjean (CoRR, 2020)

InceptionTime: Finding AlexNet for time series classification. - Hassan Ismail Fawaz; Benjamin Lucas; Germain Forestier; Charlotte Pelletier; Daniel F. Schmidt; Jonathan Weber; Geoffrey I. Webb; Lhassane Idoumghar; Pierre-Alain Muller; François Petitjean (Data Min. Knowl. Discov., 2020)

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States. - Benjamin Lucas; Behzad Vahedi; Morteza Karimzadeh (CoRR, 2021)

Machine Learning Technologies for Enabling Earth Observation. - Benjamin Lucas (2021)

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. - Benjamin Lucas; Behzad Vahedi; Morteza Karimzadeh (Int. J. Data Sci. Anal., 2023)

A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping. - Benjamin Lucas; Charlotte Pelletier; Daniel F. Schmidt; Geoffrey I. Webb; François Petitjean (Mach. Learn., 2023)

Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts. - Behzad Vahedi; Benjamin Lucas; Farnoush Banaei Kashani; Andrew P. Barrett; Walter N. Meier; Siri Jodha Singh Khalsa; Morteza Karimzadeh (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting. - Zhongying Wang; Thoai D. Ngo; Hamidreza Zoraghein; Benjamin Lucas; Morteza Karimzadeh (CoRR, 2025)