12 citations · 22 across the 5 of their papers we have counts for
5 papers
Deep Learning with Kernel Flow Regularization for Time Series Forecasting
Mahdy Shirdel, Reza Asadi, Duc Do +1
Long Short-Term Memory (LSTM) neural networks have been widely used for time series forecasting problems. However, LSTMs are prone to overfitting and performance reduction during t…
Clustering of Time Series Data with Prior Geographical Information
Reza Asadi, Amelia Regan
Time Series data are broadly studied in various domains of transportation systems. Traffic data area challenging example of spatio-temporal data, as it is multi-variate time series…
A convolution recurrent autoencoder for spatio-temporal missing data imputation
Reza Asadi, Amelia Regan
When sensors collect spatio-temporal data in a large geographical area, the existence of missing data cannot be escaped. Missing data negatively impacts the performance of data ana…
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
Reza Asadi, Amelia Regan
Spatial time series forecasting problems arise in a broad range of applications, such as environmental and transportation problems. These problems are challenging because of the ex…
Cycle flow formulation of optimal network flow problems for centralized and decentralized solvers
Reza Asadi, Solmaz S. Kia
When the underlying physical network layer in optimal network flow problems is a large graph, the associated optimization problem has a large set of decision variables. In this pap…