Results 11 to 20 of about 14,606,600 (299)

Probabilistic Active Learning for Active Class Selection. [PDF]

, 2021
In machine learning, active class selection (ACS) algorithms aim to actively select a class and ask the oracle to provide an instance for that class to optimize a classifier's performance while minimizing the number of requests. In this paper, we propose
Sabsch, Tim, Sub Algorithmic Data Analysis, Spiliopoulou, Myra, Algorithmic Data Analysis, Krempl, Georg, Stecklina, Marianne, Kottke, Daniel, Sick, Bernhard, Rekowski, Cornelius Styp von, Deliano, Matthias, Minh, Tuan Pham   +10 more
core   +1 more source

The incidence of acute myocardial infarction after elective spinal fusions or joint replacement surgery in the United States: a large-scale retrospective observational cohort study in 322,585 patients

Patient Safety in Surgery, 2021
Background Acute myocardial infarction (AMI) is an uncommon but fatal complication among patients undergoing elective spinal fusion surgery (SF), total hip arthroplasty (THA), and total knee arthroplasty (TKA). Our objective was to estimate the incidence
Patrick J. Arena, Jingping Mo, Qing Liu, Xiaofeng Zhou, Richard Gong, Charles Wentworth, Sundaresan Murugesan, Kui Huang   +7 more
doaj   +1 more source

Temporal density extrapolation using a dynamic basis approach [PDF]

, 2019
Density estimation is a versatile technique underlying many data mining tasks and techniques, ranging from exploration and presentation of static data, to probabilistic classification, or identifying changes or irregularities in streaming data.
Sub Algorithmic Data Analysis, Hofer, Vera, Algorithmic Data Analysis, Lang, Dominik, Krempl, G.M.   +4 more
core   +1 more source

Replication Data Based on the IZA Evaluation Dataset Survey [PDF]

, 2023
The provided dataset contains survey information on the job search behavior of unemployed job seekers based on the IZA Evaluation Dataset Survey. The survey contains information on respondents who were interviewed 7-14 weeks after they became unemployed
Mahlstedt, Robert, Künn, Steffen, Caliendo, Marco   +2 more
core   +1 more source

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images

Remote Sensing, 2023
Unmanned aerial vehicle (UAV) image object detection has great application value in the military and civilian fields. However, the objects in the captured images from UAVs have problems of large-scale variation, complex backgrounds, and a large ...
Liming Zhou, Zhehao Liu, Hang Zhao, Yan-E Hou, Yang Liu, Xianyu Zuo, Lanxue Dang   +6 more
doaj   +1 more source

Efficient algorithms for finding optimal binary features in numeric and nominal labeled data [PDF]

, 2013
An important subproblem in supervised tasks such as decision tree induction and subgroup discovery is finding an interesting binary feature (such as a node split or a subgroup refinement) based on a numeric or nominal attribute, with respect to some ...
Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Knobbe, Arno, Nijssen, Siegfried, Feelders, Adrianus, Mampaey, Michael, Feelders, Ad, Konijn, Rob   +7 more
core   +1 more source

A comprehensive overview of genomic imprinting in breast and its deregulation in cancer

Nature Communications, 2018
In growth and development genomic imprinting is important in regulating gene expression. Here, the authors study loss of imprinting (LOI) in cancer, developing a mixture model to detect monoallelically expressed loci without genotyping data - applying ...
Tine Goovaerts, Sandra Steyaert, Chari A. Vandenbussche, Jeroen Galle, Olivier Thas, Wim Van Criekinge, Tim De Meyer   +6 more
doaj   +1 more source

Addressing gaps in data on drinking water quality through data integration and machine learning: evidence from Ethiopia

npj Clean Water, 2023
Monitoring access to safely managed drinking water services requires information on water quality. An increasing number of countries have integrated water quality testing in household surveys however it is not anticipated that such tests will be included
Alemayehu A. Ambel, Robert Bain, Tefera Bekele Degefu, Ayca Donmez, Richard Johnston, Tom Slaymaker   +5 more
doaj   +1 more source

Learning from incomplete data in Bayesian networks with qualitative influences [PDF]

, 2016
Domain experts can often quite reliably specify the sign of influences between variables in a Bayesian network. If we exploit this prior knowledge in estimating the probabilities of the network, it is more likely to be accepted by its users and may in ...
Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., Feelders, A.J., Masegosa, Andrés   +6 more
core   +1 more source

Stability analysis of the coexistence equilibrium of a balanced metapopulation model

Scientific Reports, 2021
We analyze the stability of a unique coexistence equilibrium point of a system of ordinary differential equations (ODE system) modelling the dynamics of a metapopulation, more specifically, a set of local populations inhabiting discrete habitat patches ...
Shodhan Rao, Nathan Muyinda, Bernard De Baets   +2 more
doaj   +1 more source