5 papers
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
Daniel Azenkot, Michael Fire, Eran Ben Elia
Accurate forecasting of bus ridership (passengers numbers) is crucial for efficient management and optimization of public transport systems. Traditional forecasting models often fa…
A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
Omri Porat, Michael Fire, Eran Ben-Elia
Dockless e-scooters, a key micromobility service, have emerged as eco-friendly and flexible urban transport alternatives. These services improve first and last-mile connectivity, r…
Framework of Voting Prediction of Parliament Members
Zahi Mizrahi, Shai Berkovitz, Nimrod Talmon +1
Keeping track of how lawmakers vote is essential for government transparency. While many parliamentary voting records are available online, they are often difficult to interpret, m…
Behind the Byline: A Large-Scale Study of Scientific Author Contributions
Itai Assraf, Michael Fire
Understanding how co-authors distribute credit is critical for accurately assessing scholarly collaboration. In this study, we uncover the implicit structures within scientific tea…
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia
Danielle Kapon, Michael Fire, Shai Gordin
Cuneiform tablets, emerging in ancient Mesopotamia around the late fourth millennium BCE, represent one of humanity's earliest writing systems. Characterized by wedge-shaped marks…