Benjamin Lucas

According to our database, Benjamin Lucas authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2023

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., April, 2023

2021

Machine Learning Technologies for Enabling Earth Observation.

Benjamin Lucas

PhD thesis, 2021

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

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 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

Online Information Search During COVID-19.

Benjamin Lucas, Brendan Elliot, Todd Landman

CoRR, 2020

FIMS: Identifying, Predicting and Visualising Food Insecurity.

Georgiana Nica-Avram, John Harvey, James Goulding, Benjamin Lucas, Andrew Smith, Gavin Smith, Bertrand Perrat

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series.

Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

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

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

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

Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019

2018

Measuring Interaction Proxemics with Wearable Light Tags.

Alessandro Montanari, Tian Zhao, Elena Francu, Benjamin Lucas, Brian Jones, Xia Zhou, Cecilia Mascolo

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

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

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

2016

Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement.

Natalie Jane de Vries, Ahmed Shamsul Arefin, Luke Mathieson, Benjamin Lucas, Pablo Moscato

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2014

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

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014