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cs.LG2025
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…
cs.SI2025
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…
cs.DL2025
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…