most citedScalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction

110 citations · 231 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2017★ 96 cited

Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting

Amir Ghaderi, Borhan M. Sanandaji, Faezeh Ghaderi

The paper presents a spatio-temporal wind speed forecasting algorithm using Deep Learning (DL)and in particular, Recurrent Neural Networks(RNNs). Motivated by recent advances in re…

cs.CV2017

Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

Amir Ghaderi, Srujana Gattupalli, Dylan Ebert +3

HTKS is a game-like cognitive assessment method, designed for children between four and eight years of age. During the HTKS assessment, a child responds to a sequence of requests,…

cs.MM2017★ 4 cited

Medical Image Watermarking using 2D-DWT with Enhanced security and capacity

Ali Sharifara, Amir Ghaderi

Teleradiology enables medical images to be transferred over the computer networks for many purposes including clinical interpretation, diagnosis, archive, etc. In telemedicine, med…

cs.LG2017★ 110 cited

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction

Mohammadhani Fouladgar, Mostafa Parchami, Ramez Elmasri +1

Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term…

cs.CV2017

Enhanced Facial Recognition Framework based on Skin Tone and False Alarm Rejection

Ali Sharifara, Mohd Shafry Mohd Rahim, Farhad Navabifar +3

Face detection is one of the challenging tasks in computer vision. Human face detection plays an essential role in the first stage of face processing applications such as face reco…

cs.CV2016★ 19 cited

Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)

Amir Ghaderi, Vassilis Athitsos

Supervised learning of convolutional neural networks (CNNs) can require very large amounts of labeled data. Labeling thousands or millions of training examples can be extremely tim…

cs.CV2016★ 2 cited

Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition

Srujana Gattupalli, Amir Ghaderi, Vassilis Athitsos

Human body pose estimation and hand detection are two important tasks for systems that perform computer vision-based sign language recognition(SLR). However, both tasks are challen…