Zobrazeno 1 - 10
of 2 860
pro vyhledávání: '"Lee, Eric A"'
This study offers an initial evaluation of a human-in-the-loop system leveraging GPT-4 (a large language model or LLM), and Retrieval-Augmented Generation (RAG) to identify and define jargon terms in scientific abstracts, based on readers' self-repor
Externí odkaz:
http://arxiv.org/abs/2410.12069
Autor:
Lee, Eric Y.1 (AUTHOR), Busenbark, John R.2 (AUTHOR), Withers, Michael C.1 (AUTHOR), Zajac, Edward J.3 (AUTHOR)
Publikováno v:
Academy of Management Review. Sep2024, p1-18. 18p.
Autor:
Liang, Xuanwen, Lee, Eric Wai Ming
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
Crowd simulations play a pivotal role in building design, influencing both user experience and public safety. While traditional knowledge-driven models have their merits, data-driven crowd simulation models promise to bring a new dimension of realism
Externí odkaz:
http://arxiv.org/abs/2311.02996
Publikováno v:
In 2017 IEEE DSAA, pp. 496-503. IEEE, 2017
Recommender systems have been studied for decades with numerous promising models been proposed. Among them, Collaborative Filtering (CF) models are arguably the most successful one due to its high accuracy in recommendation and elimination of privacy
Externí odkaz:
http://arxiv.org/abs/2311.00612
Autor:
Lee, Eric Y.1 (AUTHOR) ericlee@tamu.edu, Tsai, Wenpin2 (AUTHOR) wpt1@psu.edu
Publikováno v:
Academy of Management Journal. Jun2024, Vol. 67 Issue 3, p625-647. 23p.
Publikováno v:
Knowledge-Based Systems Volume 273, 3 August 2023, 110604
Gradient boosted trees (GBTs) are ubiquitous models used by researchers, machine learning (ML) practitioners, and data scientists because of their robust performance, interpretable behavior, and ease-of-use. One critical challenge in training GBTs is
Externí odkaz:
http://arxiv.org/abs/2307.04849
Publikováno v:
2022 Winter Simulation Conference
Efficiently solving multi-objective optimization problems for simulation optimization of important scientific and engineering applications such as materials design is becoming an increasingly important research topic. This is due largely to the expen
Externí odkaz:
http://arxiv.org/abs/2306.13780
Autor:
Lee, Eric W, Ho, Joyce C
There has been rapid growth in biomedical literature, yet capturing the heterogeneity of the bibliographic information of these articles remains relatively understudied. Although graph mining research via heterogeneous graph neural networks has taken
Externí odkaz:
http://arxiv.org/abs/2305.02691
Event-based cameras are inspired by the sparse and asynchronous spike representation of the biological visual system. However, processing the event data requires either using expensive feature descriptors to transform spikes into frames, or using spi
Externí odkaz:
http://arxiv.org/abs/2303.10770
The Bayesian transformed Gaussian process (BTG) model, proposed by Kedem and Oliviera, is a fully Bayesian counterpart to the warped Gaussian process (WGP) and marginalizes out a joint prior over input warping and kernel hyperparameters. This fully B
Externí odkaz:
http://arxiv.org/abs/2210.10973