#bmda2023 — Public Fediverse posts

Best F1-score among Python tools 🎉

honorable mention in

"Outlier Detection and Cleaning in Trajectories: A Benchmark of Existing Tools"

presented by Mariana M Garcez Duarte and Mahmoud Sakr at #BMDA2023 #EDBT2023

It's been a pleasure to present our #DeepLearning from Trajectory Data review paper at #BMDA2023

https://www.datastories.org/bmda23/BMDA23Program.html

Our review covers 8 use cases:
1. #LocationClassification
2. #ArrivalTimePrediction
3. #TrafficFlow #prediction
4. #Trajectory prediction
5. Trajectory #classification
6. Next location prediction
7. #AnomalyDetection
8. #SyntheticDataGeneration

The price for most surprising approach 🏆 goes to natural language #NLP #Transfomers for #Traffic volume prediction

#EDBT2023

Our review paper on #DeepLearning from #trajectory data has been accepted to #BMDA2023 🥳

Now to solve the challenge on how to present these findings in a nice and concise talk 🤔

#DataScience #giscience #machinelearning #MovementDataAnalytics

The extended deadline ends tomorrow. Get your papers in. #BMDA2023 #MovementDataAnalytics

/me goes back to writing