Results 31 to 40 of about 88,634 (286)

Shap-MeD

open access: yesCoRR
We present Shap-MeD, a text-to-3D object generative model specialized in the biomedical domain. The objective of this study is to develop an assistant that facilitates the 3D modeling of medical objects, thereby reducing development time. 3D modeling in medicine has various applications, including surgical procedure simulation and planning, the design ...
Nicolás Laverde   +2 more
openaire   +2 more sources

Automated Estimation of Difficulty Levels in Math Word Problems using Linguistic, Mathematical, and Semantic Features [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
Math Word Problems (MWPs) remain challenging for learners due to linguistic complexity, mathematical reasoning demands, and contextual variability. Accurately estimating item difficulty is essential for adaptive learning and automated assessment, yet ...
Shilpa Kadam   +4 more
doaj   +1 more source

Soliton content with quadratic nonlinearities [PDF]

open access: yes, 1999
Summary form only given. Quadratic solitons, that form through cascading in materials with second-order nonlinearities, are a topic of current intense investigation.
Artigas García, David   +4 more
core   +3 more sources

Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks

open access: yesApplied Computer Systems, 2020
Machine learning (ML) methods are nowadays widely used to automate geophysical study. Some of ML algorithms are used to solve lithological classification problems during uranium mining process.
Kuchin Yan   +4 more
doaj   +1 more source

Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems

open access: yes, 2015
Statistical spoken dialogue systems have the attractive property of being able to be optimised from data via interactions with real users. However in the reinforcement learning paradigm the dialogue manager (agent) often requires significant time to ...
Gasic, Milica   +5 more
core   +1 more source

SHAP Enrollment and Eligibility Activities: Implications for Process and System Modernization Under National Health Reform [PDF]

open access: yes, 2012
Shares five states' experiences and best practices in using State Health Access Program grants to expand public health coverage through community-based outreach and improved eligibility and enrollment processes, as well as implications for federal ...
Brigette Courtot, Teresa A. Coughlin
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Counterfactual Customer Churn Prediction in E-Commerce Memberships [PDF]

open access: yesITM Web of Conferences
The e-commerce membership platforms that provide membership services through subscription- based models are currently experiencing a serious situation of customer churn.
S Steffeno Selva, U Syed Imran
doaj   +1 more source

NATIONAL STATUSES GRANTED FOR PROTECTION REASONS IN IRELAND. ESRI RESEARCH SERIES NUMBER 96 January 2020 [PDF]

open access: yes, 2020
This study examines the national statuses that may be granted for protection reasons in Ireland. The report focuses on national statuses with a sole basis in Irish domestic law and policy and does not examine in detail EU-harmonised statuses.
Brazil, Patricia, Groarke, Sarah
core  

Fool SHAP with Stealthily Biased Sampling

open access: yesCoRR, 2022
SHAP explanations aim at identifying which features contribute the most to the difference in model prediction at a specific input versus a background distribution. Recent studies have shown that they can be manipulated by malicious adversaries to produce arbitrary desired explanations.
Gabriel Laberge   +4 more
openaire   +3 more sources

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