machine learning

Identifying Reproducible Research Using Human-in-the-loop Machine Learning

Create datasets, reproducibility metrics, and machine learning models that estimate a confidence level in the reproducibility of a published work.

Early indicators of scientific impact: Predicting citations with altmetrics

Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies. Due to the sheer amount of research published and the growth of …

Evaluating the Effects of Acid Fracture Etching Patterns on Conductivity Estimation Using Machine Learning Techniques

The successful design of an acid fracture job requires accurate prediction of fractured well productivity. Productivity estimation demands knowledge of both the acid penetration length and conductivity distribution for the given reservoir. The …

Analyzing Twitter Bot Activity on Academic Articles

Given its ascendancy as a way to make connections worldwide, social media is affecting all areas of people’s lives. This paper focuses on analyzing how Twitter bots interact with scholarly articles. The growing number and increasing complexity of …

Data-Driven Acid Fracture Conductivity Correlations Honoring Different Mineralogy and Etching Patterns

Acid-fracturing operations are mainly applied in tight carbonate formations to create a highly conductive path. Estimating the conductivity of a hydraulic fracture is essential for predicting the fractured well productivity. Several models were …

Predicting Patent Citations to Measure Economic Impact of Scholarly Research

A crucial goal of funding research and development has always been to advance economic development. On this basis, a considerable body of research undertaken with the purpose of determining what exactly constitutes economic impact and how to …

Shared Feelings: Understanding Facebook Reactions to Scholarly Articles

Research on social-media platforms has tended to rely on textual analysis to perform research tasks. While text-based approaches have significantly increased our understanding of online behavior and social dynamics, they overlook features on these …

Using Arabic Tweets to Understand Drug Selling Behaviors

Twitter is a popular platform for e-commerce in the Arab region including the sale of illegal goods and services. Social media platforms present multiple opportunities to mine information about behaviors pertaining to both illicit and pharmaceutical …

Using a Recommendation System to Support Problem Solving and Case-Based Reasoning Retrieval

In case library learning environments, learners are presented with an array of narratives that can be used to guide their problem solving. However, according to theorists, learners struggle to identify and retrieve the optimal case to solve a new …

Using Social Media and Scholarly Text to Predict Public Understanding of Science

People often struggle to understand scientific texts, which leads to miscommunication and often to inaccurate and even sensationalistic reports of research. Identifying and achieving a better understanding of the factors that affect comprehension …