7 citations · 10 across the 7 of their papers we have counts for
7 papers
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…
EmoconLite: Bridging the Gap Between Emotiv and Play for Children With Severe Disabilities
Javad Rahimipour Anaraki, Chelsea Anne Rauh, Jason Leung +1
Brain-computer interfaces (BCIs) allow users to control computer applications by modulating their brain activity. Since BCIs rely solely on brain activity, they have enormous poten…
A Deep Learning Approach to Tongue Detection for Pediatric Population
Javad Rahimipour Anaraki, Silvia Orlandi, Tom Chau
Children with severe disabilities and complex communication needs face limitations in the usage of access technology (AT) devices. Conventional ATs (e.g., mechanical switches) can…
Privacy-preserving feature selection: A survey and proposing a new set of protocols
Javad Rahimipour Anaraki, Saeed Samet
Feature selection is the process of sieving features, in which informative features are separated from the redundant and irrelevant ones. This process plays an important role in ma…
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…