1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
Anita Graser
Crowd and flow predictions have been extensively studied in mobility data science. Traditional forecasting methods have relied on statistical models such as ARIMA, later supplement…
stat.CO2025★ 1 cited
Spatial Data Science Languages: commonalities and needs
Edzer Pebesma, Martin Fleischmann, Josiah Parry +8
Recent workshops brought together several developers, educators and users of software packages extending popular languages for spatial data handling, with a primary focus on R, Pyt…
cs.LG2023★ 1 cited
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications
Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher +5
Data-driven machine learning is playing a crucial role in the advancements of Industry 4.0, specifically in enhancing predictive maintenance and quality inspection. Federated learn…