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Publications (21)
Machine learning often lacks transparent performance indicators, especially in generating point predictions. This paper addresses this limitation through conformal prediction, a non-parametric forecasting technique seamlessly integrating with regression algorithms to produce prediction intervals at specified confidence levels. A crucial element in...
This paper presents an overview of research conducted to track the variation in fiber reinforced composites at the microscale induced from manufacturing, and determine the effect composite properties. For this effort, the microscale was first quantified using statistical descriptors. These descriptors are needed in order to determine statistical eq...
Dimensionality reduction (DR) techniques are becoming increasingly important in engineering and scientific applications for feature extraction and data visualization purposes. This problem gets significantly more demanding when encountering class-imbalanced data sets with a disproportionate ratio of observations in each class. The main objective of...
Ride-hailing programs established through partnerships between transit agencies and transportation network companies (TNCs) are an emerging innovative practice in public transportation services. Literature and practice attest to the potential of these programs. Recent research reports have produced how-to guides and other useful material to guide t...
Semantics is a research field that has gained an extensive interest recently. This survey describes recent works in the field of semantics, a part of the broader area of computational linguistics. One of the important aspects of computational linguistics is using proper methods to distribute semantics for obtaining representations of the meaning of...
A fundamental task in machine learning involves node classification. However, when considering the context of large graph data, this problem becomes much more challenging. In this paper, we use the Wikipedia hyperlink dataset to evaluate our semi-supervised node classification model. Given a small set of labeled nodes, we develop a multiclass class...
A fundamental task in machine learning involves visualizing high-dimensional data sets that arise in high-impact application domains. When considering the context of large im-balanced data, this problem becomes much more challenging. In this paper, the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm is used to reduce the dimensions of...
A fundamental task in machine learning involves visualizing high-dimensional data sets that arise in high-impact application domains. When considering the context of large imbalanced data, this problem becomes much more challenging. In this paper, the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm is used to reduce the dimensions of...
Generating low-rank approximations of kernel matrices that arise in nonlinear machine learning techniques holds the potential to significantly alleviate the memory and computational burdens. A compelling approach centers on finding a concise set of exemplars or landmarks to reduce the number of similarity measure evaluations from quadratic to linea...
Ride-hailing programs established through partnerships between transit agencies and transportation network companies (TNCs) are an emerging innovative practice in public transportation services. Literature and practice attest to the potential of these programs. In addition, recent research reports have produced how-to guides and other useful materi...
With the emergence of electronic banking, pioneer banks present their services via various technologies to their customers. This leads to the customers' satisfaction and a sort of relationship and a permanent link between their services and a specific group of customers which is their main objective. This study intends to investigate key factors in...
At the present time, human capital is a part of an organization's vital capitals. Having two important features of scarcity and inimitability, it can be a competitive advantage for an organization. Qualified employees are strategic resources and are in a direct relationship with the life of an organization. Comprehensive and appropriate criteria fo...
