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On the importance of stationarity, strong baselines and benchmarks in
  transport prediction problems

On the importance of stationarity, strong baselines and benchmarks in transport prediction problems

6 March 2022
Filipe Rodrigues
    AI4TS
ArXivPDFHTML

Papers citing "On the importance of stationarity, strong baselines and benchmarks in transport prediction problems"

3 / 3 papers shown
Title
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error
  Rate Computations And Granular Error Classifications
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications
Korbinian Kuhn
Verena Kersken
Gottfried Zimmermann
21
0
0
28 Aug 2024
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
Dang Viet Anh Nguyen
J. Victor Flensburg
Fabrizio Cerreto
Bianca Pascariu
Paola Pellegrini
Carlos Lima Azevedo
Filipe Rodrigues
AI4TS
AI4CE
18
0
0
28 Aug 2024
Graph Neural Controlled Differential Equations for Traffic Forecasting
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi
Hwangyong Choi
JeeHyun Hwang
Noseong Park
BDL
AI4TS
95
271
1
07 Dec 2021
1