Ali Mahdi - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 8 from 8

2022

Robust Linear Regression-Based GIS Technique for Modeling the Processing Time at Tourism DestinationsAli Mahdi, Domokos Esztergár-Kiss. hci 2022: 557-569 [doi]

2020

DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural NetworksAli Mahdi, Jun Qin, Garth V. Crosby. tamd, 12(1):54-63, 2020. [doi]

2019

An extensive evaluation of deep featuresof convolutional neural networks for saliency prediction of human visual attentionAli Mahdi, Jun Qin. jvcir, 65, 2019. [doi]

Evaluation of bottom-up saliency model using deep features pretrained by deep convolutional neural networksAli Mahdi, Jun Qin. jei, 28(03):33033, 2019. [doi]

2018

Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networksAli Mahdi, Jun Qin. bhi 2018: 247-250 [doi]

A Comparison Study of Saliency Models for Fixation Prediction on Infants and AdultsAli Mahdi, Mei Su 0004, Matthew Schlesinger, Jun Qin. tamd, 10(3):485-498, 2018. [doi]

Speech enhancement in spectral envelope and details subspacesPengfei Sun, Ali Mahdi, Jianhong Xu, Jun Qin. speech, 101:57-69, 2018. [doi]

2015

Infants gaze pattern analyzing using contrast entropy minimizationAli Mahdi, Matthew Schlesinger, Dima Amso, Jun Qin. icdl-epirob 2015: 106-111 [doi]

Sign in or sign up to see more results.

runs on WebDSL