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Site selection and vehicle routing for post-disaster rapid needs assessment
(Elsevier, 2017-05)
In the immediate aftermath of a disaster, relief agencies perform rapid needs assessment to investigate the effects of the disaster on the affected communities. Since assessments must be performed quickly, visiting all of ...
Adapted infinite kernel learning by multi-local algorithm
(World Scientific Publishing Co, 2016-05)
The interplay of machine learning (ML) and optimization methods is an emerging field of artificial intelligence. Both ML and optimization are concerned with modeling of systems related to real-world problems. Parameter ...
Benchmarking regression algorithms for income prediction modeling
(Elsevier, 2016)
This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ...
A branch-and-cut algorithm for the Steiner tree problem with delays
(Springer Science+Business Media, 2012-12)
In this paper, we investigate the Steiner tree problem with delays, which is a generalized version of the Steiner tree problem applied to multicast routing. For this challenging combinatorial optimization problem, we present ...
Evaluation of sources for the sustainability of energy supply in Turkey
(Wiley, 2017)
Energy is one of the main factors that must be considered in the discussions of sustainable development. Renewable, clean and cost effective energy sources are preferred but unfortunately no one of the alternative energy ...
A model to estimate cost-savings in diabetic foot ulcer prevention efforts
(Elsevier, 2017)
Background: Sustained efforts at preventing diabetic foot ulcers (DFUs) and subsequent leg amputations are sporadic in most health care systems despite the high costs associated with such complications. We sought to estimate ...
A branch-and-price-and-cut method for computing an optimal bramble
(Elsevier, 2015)
Given an undirected graph, a bramble is a set of connected subgraphs (called bramble elements) such that every pair of subgraphs either contains a common node, or such that an edge ( i , j ) exists with node i belonging ...
Benchmarking regression algorithms for income prediction modeling
(IEEE, 2015)
This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ...
Healthcare intelligence: Turning data into knowledge
(IEEE, 2014)
Exceptional opportunities exist for researchers and practitioners to invest in conducting innovative and transformative research in data mining and health informatics. This IEEE Intelligent Systems "Trends and Controversies" ...
Healthcare data analytics
(Springer International Publishing, 2015-11)
New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. ...
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