7 citations · 22 across the 4 of their papers we have counts for
6 papers
Improving COVID-19 Forecasting using eXogenous Variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari +7
In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques whi…
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Y. Javeri, Mohammadhossein Toutiaee, Ismailcem B. Arpinar +2
Statistical methods such as the Box-Jenkins method for time-series forecasting have been prominent since their development in 1970. Many researchers rely on such models as they can…
Occupancy Detection in Room Using Sensor Data
Mohammadhossein Toutiaee
With the advent of Internet of Thing (IoT), and ubiquitous data collected every moment by either portable (smart phone) or fixed (sensor) devices, it is important to gain insights…
Gaussian Function On Response Surface Estimation
Mohammadhossein Toutiaee, John Miller
We propose a new framework for 2-D interpreting (features and samples) black-box machine learning models via a metamodeling technique, by which we study the output and input relati…
Stereotype-Free Classification of Fictitious Faces
Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller +1
Equal Opportunity and Fairness are receiving increasing attention in artificial intelligence. Stereotyping is another source of discrimination, which yet has been unstudied in lite…
Video Contents Understanding using Deep Neural Networks
Mohammadhossein Toutiaee, Abbas Keshavarzi, Abolfazl Farahani +1
We propose a novel application of Transfer Learning to classify video-frame sequences over multiple classes. This is a pre-weighted model that does not require to train a fresh CNN…