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Eugene S. – Postdoctoral Scholar – Oregon State University – LinkedIn
Postdoctoral at Oregon State University · Experience: Oregon State University · Education: Oregon State University · Location: Corvallis · 42 connections on LinkedIn. View Eugene S.'s…
PDF Predicting Links in Plant-Pollinator Interaction Networks using Latent …
In this paper, we study a set of models for predicting the interactions in pollination networks. We explore network models developed in the context of recommendation sys-tems, which are generally formulated with users and items.
Eugene Seo | IEEE Xplore Author Details
She is currently working toward the PhD degree in the School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon. Her research interests include artificial intelligence, machine learning, data mining, recommender systems
PhD Preliminary Oral Exam – Eugene Seo – Oregon State University
In this proposal, we propose to incorporate recommendation algorithms into ecological models in order to understand interactions between species.
Andrews Forest Data Web Site
This study involves the annual collection of plant-pollinator interaction data from up to 18 meadows in the Willamette National Forest, Oregon, including 12 meadows in the HJ Andrews Forest. This study addresses how meadow size, the amount of nearby meadow habitat, weather, degree days, and soil moisture are related to the flowering of meadow …
People – ML QuESt Lab
Eugene earned a Ph.D. degree in Computer Science from Oregon State University in 2021. During her Ph.D. study, she focused on proposing machine learning frameworks for predicting plant-pollinator interactions and modeling bird species distributions.
Eugene Seo – Program Manager – Cardinal Health | LinkedIn
Eugene is a Program Manager with a demonstrated history of working in the supply chain, data optimization, distribution & fulfillment industry. Skilled in Industrial Process Improvement,…
PDF StatEcoNet: Statistical Ecology Neural Networks for Species …
To address the unique challenges of SDM, this paper proposes a framework called StatEcoNet. Specifically, this work employs a graphical generative model in statistical ecol- ogy to serve as the skeleton of the proposed computational framework and carefully integrates neural networks under the framework.
Eugene Seo – top engineer – google – LinkedIn
top engineer at google · Experience: google · Location: Blacksburg. View Eugene Seo's profile on LinkedIn, a professional community of 1 billion members.
