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Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph
Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction...
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Spheres of legislation: polarization and most influential nodes in behavioral context
Game-theoretic models of influence in networks often assume the network structure to be static. In this paper, we allow the network structure to vary...
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Stable correlation and robust feature screening
In this paper, we propose a new correlation, called stable correlation, to measure the dependence between two random vectors. The new correlation is...
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Variable Neighborhood Search for Multi-label Feature Selection
With the growing dimensionality of the data in many real-world applications, feature selection is becoming an increasingly important preprocessing...
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Gini Correlation for Feature Screening
In this paper we propose the Gini correlation screening (GCS) method to select the important variables with ultrahigh dimensional data. The new...
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Efficient Self-organized Feature Maps Through Developmental Learning
Learning andChawdhary, Adit adaptation occur at several temporal and spatial scales in animals with central nervous systems.Minai, Ali A. In the...
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Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data
This paper considers the iterative sequential lasso (ISLasso) variable selection for generalized linear model with ultrahigh dimensional feature...
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Safe Feature Elimination for Non-negativity Constrained Convex Optimization
Inspired by recent work on safe feature elimination for 1-norm regularized least-squares, we develop strategies to eliminate features from convex...
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Variable annuity with a surrender option under multiscale stochastic volatility
In this paper, we study the valuation of a variable annuity embedding an early surrender option in which the underlying equity price follows the...
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Advanced Analytics for Haul Trucks Energy-Efficiency Improvement in Surface Mines
Rolling resistance as a part of total resistance plays a critical role in the productivity, fuel consumption, gas emissions, maintenance, and safety...
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Trending on the use of Google mobility data in COVID-19 mathematical models
Google mobility data has been widely used in COVID-19 mathematical modeling to understand disease transmission dynamics. This review examines the...
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Identifying Influential Nodes in a Network Model of Epilepsy
A significant proportion of individuals with epilepsy suffer from intractable forms of the disease. Current evidence suggests that pathological brain...
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Gothic Vaulting in Spanish Military Architecture from the Eighteenth Century
The construction of gunpowder magazines, undertaken by military engineers in Spain throughout the eighteenth century bears testament to the...
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Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networks
The ability for people and organizations to connect in the digital age has allowed the growth of networks that cover an increasing proportion of...
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Finding groups with maximum betweenness centrality via integer programming with random path sampling
One popular approach to access the importance/influence of a group of nodes in a network is based on the notion of centrality. For a given group, its...
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Diabetes Detection and Analysis Using Machine Learning
One of the most lethal chronic illnesses is diabetes, which leads to high blood sugar levels. Many complications might arise from diabetes if it is...
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Machine Learning Assisted Exploration for Affine Deligne–Lusztig Varieties
This paper presents a novel, interdisciplinary study that leverages a Machine Learning (ML) assisted framework to explore the geometry of affine...
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On the Work of Jean Bourgain in Nonlinear Dispersive Equations
In this brief note, we survey a sample of the deep and influential contributions of Jean Bourgain to the field of nonlinear dispersive equations....
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Towards Building a Sustainable Future: Positioning Ecological Modelling for Impact in Ecosystems Management
As many ecosystems worldwide are in peril, efforts to manage them sustainably require scientific advice. While numerous researchers around the world...
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Core-periphery models via integer programming: maximizing the influence of the core
Core-periphery models are a commonly used and powerful tool in network analysis which allow researchers to identify a set of highly influential...
