1 code implementation • 13 Mar 2024 • Maonan Wang, Aoyu Pang, Yuheng Kan, Man-on Pun, Chung Shue Chen, Bo Huang
Specifically, a hybrid framework that augments LLMs with a suite of perception and decision-making tools is proposed, facilitating the interrogation of both the static and dynamic traffic information.
no code implementations • 12 Mar 2024 • Camila Fernandez, Chung Shue Chen, Chen Pierre Gaillard, Alonso Silva
Time-to-event analysis is a branch of statistics that has increased in popularity during the last decades due to its many application fields, such as predictive maintenance, customer churn prediction and population lifetime estimation.
no code implementations • 3 Jan 2024 • Nessrine Trabelsi, Lamia Chaari Fourati, Chung Shue Chen
In order to manage this level of growth and meet these requirements, the fifth-generation (5G) mobile communications network is envisioned as a revolutionary advancement combining various improvements to previous mobile generation networks and new technologies, including the use of millimeter wavebands (mm-wave), massive multiple-input multipleoutput (mMIMO) multi-beam antennas, network densification, dynamic Time Division Duplex (TDD) transmission, and new waveforms with mixed numerologies.
no code implementations • 29 Dec 2022 • Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese
This paper aims to provide a comprehensive survey on log parsing.
1 code implementation • 13 Mar 2020 • Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
In this paper, we make an experimental comparison of semi-parametric (Cox proportional hazards model, Aalen's additive regression model), parametric (Weibull AFT model), and machine learning models (Random Survival Forest, Gradient Boosting with Cox Proportional Hazards Loss, DeepSurv) through the concordance index on two different datasets (PBC and GBCSG2).