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researcher

I. B. Arpinar

2 papers hereh-index 304k citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedImproving COVID-19 Forecasting using eXogenous Variables

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 4 cited

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…

cs.LG2021

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.