Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering
Sign Up to like & getrecommendations! Published in 2024 at "Applied Intelligence"
DOI: 10.1007/s10489-025-06692-y
Abstract: Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fail to achieve notable improvement in class imbalance data compared… read more here.
Keywords: data points; conditional vae; fusing conditional; via fusing ... See more keywords
Quantum annealing for combinatorial clustering
Sign Up to like & getrecommendations! Published in 2018 at "Quantum Information Processing"
DOI: 10.1007/s11128-017-1809-2
Abstract: Clustering is a powerful machine learning technique that groups “similar” data points based on their characteristics. Many clustering algorithms work by approximating the minimization of an objective function, namely the sum of within-the-cluster distances between… read more here.
Keywords: quantum; search; annealing combinatorial; data points ... See more keywords
Construct boundaries and place labels for multi-class scatterplots
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Visualization"
DOI: 10.1007/s12650-021-00791-x
Abstract: Abstract Drawing boundaries and appending text labels for each class of multi-class scatterplot are two common steps to help people perceive and understand class-level spatial and semantic information hidden in the scatterplot. However, massive data… read more here.
Keywords: class; step; boundaries place; data points ... See more keywords
Computerized quantification of drugs synergism in animal studies or in clinical trials using only ten data points
Sign Up to like & getrecommendations! Published in 2019 at "Synergy"
DOI: 10.1016/j.synres.2019.100049
Abstract: Abstract The median-effect equation (MEE) derived from the mass-action law (MAL) is the unified theory of dose-effect pharmacodynamics (PD) and biodynamics (BD). MEE enables the linearization of a dose-effect curve into a straight linedefined by… read more here.
Keywords: drug; animal studies; data points; effect ... See more keywords
A Bayesian Method for Selecting Data Points for Thermodynamic Modeling of Off-Stoichiometric Metal Oxides
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Materials Chemistry A"
DOI: 10.1039/d3ta06627d
Abstract: Thermodynamic characterization of metal oxide reduction/re-oxidation plays a vital role in material identification and optimization of many chemical processes. However, this characterization generally requires significant data collection (spanning several hundred... read more here.
Keywords: data points; metal; selecting data; points thermodynamic ... See more keywords
Responsiveness of the EAT-10 to Clinical Change in Head and Neck Cancer Patients with Dysphagia
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech-Language Pathology"
DOI: 10.1080/17549507.2019.1596312
Abstract: Abstract Purpose: This retrospective study evaluated the external responsiveness of the Eating Assessment Tool-10 (EAT-10) to clinical changes in a single cohort (n = 105) treated with chemoradiotherapy (CRT) or radiotherapy (RT) for head-and-neck cancer. Method: Patients… read more here.
Keywords: neck cancer; eat clinical; data points; pathology ... See more keywords
Undergraduate students’ reasoning about the quality of experimental measurements of covarying secondary data
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Physics"
DOI: 10.1088/1361-6404/abfd27
Abstract: We have investigated how first-year and second-year university students judge the quality of secondary experimental data consisting of measurements of covarying quantities, and to what extent they consider multiple measurements of covarying quantities as a… read more here.
Keywords: students reasoning; derived quantity; quality; data points ... See more keywords
River discharge estimation with a small number of data points: a transfer learning approach
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adf24c
Abstract: River discharge estimation is crucial for effective water resource management. However, high operational and maintenance expenditures at hydrological stations have led to declining availability of reliable discharge data. Estimating river discharge with a small number… read more here.
Keywords: data points; number data; river; discharge ... See more keywords
WP8.5 - Operative Documentation of Laparoscopic Appendicectomies at FVRH based on GIRFT - An Audit
Sign Up to like & getrecommendations! Published in 2024 at "British Journal of Surgery"
DOI: 10.1093/bjs/znae197.216
Abstract: Laparoscopic appendicectomy (LA) is the most performed abdominal surgery in the UK. Clear documentation is required to ensure safe and effective patient care. To assess compliance with LA operative documentation at Forth Valley Royal Hospital… read more here.
Keywords: operative documentation; data points; laparoscopic; documentation ... See more keywords
Towards an optimal sampling of peculiar velocity surveys for Wiener Filter reconstructions
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx557
Abstract: The Wiener Filter (WF) technique enables the reconstruction of density and velocity fields from observed radial peculiar velocities. This paper aims at identifying the optimal design of peculiar velocity surveys within the WF framework. The… read more here.
Keywords: wiener filter; reconstruction; data points; velocity ... See more keywords
Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Philosophical Transactions of the Royal Society B: Biological Sciences"
DOI: 10.1098/rstb.2020.0266
Abstract: As several countries gradually release social distancing measures, rapid detection of new localized COVID-19 hotspots and subsequent intervention will be key to avoiding large-scale resurgence of transmission. We introduce ASMODEE (automatic selection of models and… read more here.
Keywords: detection; trend fitting; trend; data points ... See more keywords