Evaluating Machine Learning and Statistical Prediction Techniques in Margin Sampling Active Learning for Rapid Landslide Mapping [PDF]
GeomaticsRapid and accurate landslide detection is important for minimizing loss of life and property. Supervised machine learning has shown promise for automating landslide mapping, but it often requires thousands of labeled instances, which is impractical for ...
Jing Miao +4 more
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Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines
Informatica Economica, 2014 The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expression of the bias computed in terms of the support vectors.
Cătălina Cocianu +2 more
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Machine Learning Assisted Quality of Transmission Estimation and Planning with Reduced Margins
, 2020 In optical transport networks, the Quality of Transmission (QoT) using a physical layer model (PLM) is estimated before establishing new or reconfiguring established optical connections. Traditionally, high margins are added to account for the model’s inaccuracy and the uncertainty in the current and evolving physical layer conditions, targeting ...
K. Christodoulopoulos +3 more
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A Machine Learning Framework for Oncological Margin Detection
, 2021 Cancer is the cause of one in four deaths in North America. A common phase of early-stage oncological treatment is the surgical resection of cancerous tissue. The presence of cancer cells on the resection margin, referred to as positive margin, is correlated with the recurrence of cancer and demands re-operation.
Alice Santilli
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Hyperspectral imaging with machine learning for in vivo skin carcinoma margin assessment: a preliminary study [PDF]
Physical and Engineering Sciences in MedicineAbstractSurgical excision is the most effective treatment of skin carcinomas (basal cell carcinoma or squamous cell carcinoma). Preoperative assessment of tumoral margins plays a decisive role for a successful result. The aim of this work was to evaluate the possibility that hyperspectral imaging could become a valuable tool in solving this problem ...
Sorin Viorel Parasca +3 more
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Prediction of financial deficits of postoperative patients in the intensive care unit using machine learning [PDF]
JA Clinical ReportsBackground Operational loss, defined as unanticipated financial deficits in intensive care unit (ICU) management, is challenging to predict yet critical for hospital sustainability. This study aimed to evaluate whether machine-learning models can predict
Saori Ikumi +6 more
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The Impact of Initial Margin on Derivatives Pricing with an Application of Machine Learning
SSRN Electronic Journal, 2019 In this paper we consider the impact of bilateral initial margin on derivatives pricing. We first introduce the background of bilateral initial margin. Then, we focus on how initial margin effects counterparty credit exposures, capital requirements and funding costs.
Matthias Vierkoetter
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Computers & Chemical EngineeringThis study presents a multiscale modeling framework for simulating and predicting the behavior and biodistribution of nanoparticles (NPs), focusing on applications such as targeted drug delivery. The framework encompasses two coupled models: (1) a DeepONet-enabled Fokker-Planck equation to model the NP drift-diffusion in the red-blood cell-free layer ...
Sahil Kulkarni +2 more
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Transactions of the Japanese Society for Artificial Intelligence, 2010 Katsuhiko Hayashi +4 more
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Machine-Learning-Enabled Raman Spectroscopy Refines Indocyanine Green Fluorescence Boundaries for Precise Glioblastoma Margin Delineation. [PDF]
Research (Wash D C)Han D +10 more
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