17 citations · 60 across the 11 of their papers we have counts for
14 papers
Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning
Mohamadreza Jafaryani, Hamid Sheikhzadeh, Vahid Pourahmadi
Typically, voice conversion is regarded as an engineering problem with limited training data. The reliance on massive amounts of data hinders the practical applicability of deep le…
Fast Classification with Sequential Feature Selection in Test Phase
Ali Mirzaei, Vahid Pourahmadi, Hamid Sheikhzadeh +1
This paper introduces a novel approach to active feature acquisition for classification, which is the task of sequentially selecting the most informative subset of features to achi…
Progressive Transmission using Recurrent Neural Networks
Mohammad Sadegh Safari, Vahid Pourahmadi, Patrick Mitran +1
In this paper, we investigate a new machine learning-based transmission strategy called progressive transmission or ProgTr. In ProgTr, there are b variables that should be transmit…
Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features
Mohamadreza Jafaryani, Saeed Khorram, Vahid Pourahmadi +1
Patients with sleep disorders can better manage their lifestyle if they know about their special situations. Detection of such sleep disorders is usually possible by analyzing a nu…
Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems
Mehran Soltani, Vahid Pourahmadi, Hamid Sheikhzadeh
In this paper, we present a downlink pilot design scheme for Deep Learning (DL) based channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) systems.…
Wi2Vi: Generating Video Frames from WiFi CSI Samples
Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia
Objects in an environment affect electromagnetic waves. While this effect varies across frequencies, there exists a correlation between them, and a model with enough capacity can c…