19 citations · 104 across the 17 of their papers we have counts for
19 papers
Cooperative Game Theory Model for Sustainable UN Financing: Addressing Global Public Goods Provision
Labib Shami, Teddy Lazebnik
This study introduces a novel cooperative game theory model designed to improve the United Nations' current funding mechanisms, which predominantly rely on voluntary contributions.…
Bi-National Academic Funding and Collaboration Dynamics: The Case of the German-Israeli Foundation
Amit Bengiat, Teddy Lazebnik, Philipp Mayr +1
Academic grant programs are widely used to motivate international research collaboration and boost scientific impact across borders. Among these, bi-national funding schemes -- pai…
Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation
Teddy Lazebnik, Labib Shami
Tax evasion, usually the largest component of an informal economy, is a persistent challenge over history with significant socio-economic implications. Many socio-economic studies…
Publishing Instincts: An Exploration-Exploitation Framework for Studying Academic Publishing Behavior and "Home Venues"
Teddy Lazebnik, Shir Aviv-Reuven, Ariel Rosenfeld
Scholarly communication is vital to scientific advancement, enabling the exchange of ideas and knowledge. When selecting publication venues, scholars consider various factors, such…
Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard
Ariel Rosenfeld, Teddy Lazebnik
Large Language Models (LLMs) are capable of generating text that is similar to or surpasses human quality. However, it is unclear whether LLMs tend to exhibit distinctive linguisti…
Detecting LLM-assisted writing in scientific communication: Are we there yet?
Teddy Lazebnik, Ariel Rosenfeld
Large Language Models (LLMs), exemplified by ChatGPT, have significantly reshaped text generation, particularly in the realm of writing assistance. While ethical considerations und…
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study
Maxim Glebov, Teddy Lazebnik, Boris Orkin +2
Background: Postoperative nausea and vomiting (PONV) is a frequently observed complication in patients undergoing surgery under general anesthesia. Moreover, it is a frequent cause…
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
In the realm of machine and deep learning regression tasks, the role of effective feature engineering (FE) is pivotal in enhancing model performance. Traditional approaches of FE o…
Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky
Lung cancer is a leading cause of cancer-related deaths worldwide. The spread of the disease from its primary site to other parts of the lungs, known as metastasis, significantly i…
The Academic Midas Touch: An Indicator of Academic Excellence
Ariel Rosenfled, Ariel Alexi, Liel Mushiev +1
The recognition of academic excellence is fundamental to the scientific and academic endeavor. However, the term "academic excellence" is often interpreted in different ways, typic…
The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld
Online academic profiles are used by scholars to reflect a desired image to their online audience. In Google Scholar, scholars can select a subset of co-authors for presentation in…
Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions
Teddy Lazebnik, Or Iny
Temporal graphs have become an essential tool for analyzing complex dynamic systems with multiple agents. Detecting anomalies in temporal graphs is crucial for various applications…
A Computational Model For Individual Scholars' Writing Style Dynamics
Teddy Lazebnik, Ariel Rosenfeld
A manuscript's writing style is central in determining its readership, influence, and impact. Past research has shown that, in many cases, scholars present a unique writing style t…
The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach
Teddy Lazebnik, Amit Yaniv-Rosenfeld
Family members' satisfaction with one another is central to creating healthy and supportive family environments. In this work, we propose and implement a novel computational techni…
Multi-Species Prey-Predator Dynamics During a Multi-Strain Pandemic
Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik
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 h…
Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic
Teddy Lazebnik, Ariel Rosenfeld, Labib Shami
Coffee leaf rust is a prevalent botanical disease that causes a worldwide reduction in coffee supply and its quality, leading to immense economic losses. While several pandemic int…
Authorship conflicts in academia: an international cross-discipline survey
Elizaveta Savchenko, Ariel Rosenfeld
Collaboration among scholars has emerged as a significant characteristic of contemporary science. As a result, the number of authors listed in publications continues to rise steadi…
High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
Teddy Lazebnik, Ariel Alexi
Airborne pandemics have caused millions of deaths worldwide, large-scale economic losses, and catastrophic sociological shifts in human history. Researchers have developed multiple…
Academic Co-authorship is a Risky Game
Teddy Lazebnik, Stephan Beck, Labib Shami
Conducting a research project with multiple participants is a complex task that involves not only scientific but also multiple social, political, and psychological interactions. Th…