7 citations · 10 across the 7 of their papers we have counts for
4 papers · 1 filter
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki +1
We present coarse-to-fine autoregressive networks (C2FAR), a method for modeling the probability distribution of univariate, numeric random variables. C2FAR generates a hierarchica…
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
Javad Rahimipour Anaraki, Jae Moon, Tom Chau
Brain-computer interface (BCI) aims to establish and improve human and computer interactions. There has been an increasing interest in designing new hardware devices to facilitate…
A Feature Selection Based on Perturbation Theory
Javad Rahimipour Anaraki, Hamid Usefi
Consider a supervised dataset , where is the outcome column, rows of correspond to observations, and columns of are the features of the d…
A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection
Javad Rahimipour Anaraki, Saeed Samet, Mahdi Eftekhari +1
Feature selection and attribute reduction are crucial problems, and widely used techniques in the field of machine learning, data mining and pattern recognition to overcome the wel…