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Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard
Large Language Models (LLMs) are capable of generating text that is similar to or surpasses human quality.
Detecting LLM-Assisted Writing in Scientific Communication: Are We There Yet?
Large Language Models (LLMs), exemplified by ChatGPT, have significantly reshaped text generation, particularly in the realm of writing assistance.
The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
In this work, we examine whether scientometrics and reciprocality can explain the observed selections.
Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics
In this study, we take advantage of the patient's socio-demographics to offer a personalized mathematical model that describes the clinical dynamics associated with BCG-based treatment.
Optimizing SMS Reminder Campaigns for Pre- and Post-Diagnosis Cancer Check-Ups using Socio-Demographics: An In-Silco Investigation Into Bladder Cancer
In this work, we propose a novel framework, accompanied by a high-resolution computer simulation, to investigate and optimize socio-demographic-based SMS reminder campaigns for cancer check-ups.
Multi-Species Prey-Predator Dynamics During a Multi-Strain Pandemic
Small and large scale pandemics are a natural phenomenon repeatably appearing throughout history, causing ecological and biological shifts in ecosystems and a wide range of their habitats.
A Computational Model For Individual Scholars' Writing Style Dynamics
A manuscript's writing style is central in determining its readership, influence, and impact.
Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic
Coffee leaf rust is a prevalent botanical disease that causes a worldwide reduction in coffee supply and its quality, leading to immense economic losses.
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a neural network model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response.
Authorship Conflicts in Academia: an International Cross-Discipline Survey
Collaboration among scholars has emerged as a significant characteristic of contemporary science.
What Should We Optimize in Participatory Budgeting? An Experimental Study
Participatory Budgeting (PB) is a process in which voters decide how to allocate a common budget; most commonly it is done by ordinary people -- in particular, residents of some municipality -- to decide on a fraction of the municipal budget.
Big Data Analytics and AI in Mental Healthcare
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population.
Providing Explanations for Recommendations in Reciprocal Environments
These platforms often include recommender systems that assist users in finding a suitable match.
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects
However, injecting human knowledge into an RL agent may require extensive effort and expertise on the human designer's part.
Automation of Android Applications Testing Using Machine Learning Activities Classification
Mobile applications are being used every day by more than half of the world's population to perform a great variety of tasks.
