1 code implementation • 18 Dec 2023 • Semin Kwak, Laura Shimabukuro, Antonio Ortega
This approach provides a novel interpretation in the node domain and reveals aspects of graph signals that may be overlooked with a singular measure of variation.
2 code implementations • 27 Apr 2021 • Semin Kwak, Nikolas Geroliminis, Pascal Frossard
Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals.
Ranked #7 on Traffic Prediction on PEMS-BAY (RMSE metric)
no code implementations • 2 Sep 2020 • Semin Kwak, Nikolas Geroliminis
We compare our prediction accuracy of travel time for freeways in California (I210-E and I5-S) under highly congested traffic conditions with those of other methods: the instantaneous travel time, k-nearest neighbor, support vector regression, and artificial neural network.