no code implementations • 11 Jun 2021 • Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi, Sankeerth Rao Karingula, Jake Taylor, Claudionor Nunes Coelho Jr
Our algorithm is easily parallelizable, more robust for ill-conditioned and seasonal data, and highly scalable for a large number of anomaly models.
no code implementations • 10 Apr 2021 • Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa Polania Cabrera, Marjorie Sayer, Claudionor Nunes Coelho Jr
Many advanced autoregressive methods such as ARIMA were used to develop forecasting models.
1 code implementation • 6 Dec 2020 • Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula
Sequential recommendation systems model dynamic preferences of users based on their historical interactions with platforms.
1 code implementation • 24 Apr 2018 • Mehrnaz Amjadi, Theja Tulabandhula
Although the computational and statistical trade-off for modeling single graphs, for instance, using block models is relatively well understood, extending such results to sequences of graphs has proven to be difficult.