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1Stability selection enables robust learning of partial differential equations from limited noisy data
S. Maddu, B. Cheeseman, I. Sbalzarini, and C. Müller. (2019)
26 days ago by @scadsfct
show all tags
(cs.LG),
(math.NA),
(physics.data-an),
Analysis
Analysis,
Computer
Data
FOS:
Learning
Machine
Mathematics,
Numerical
Physical
Probability
Statistics
and
information
sciences
sciences,
(cs.LG),(math.NA),(physics.data-an),AnalysisAnalysis,ComputerDataFOS:LearningMachineMathematics,NumericalPhysicalProbabilityStatisticsandinformationsciencessciences,
(0)
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1Graph Mining for Complex Data Analytics
A. Petermann, M. Junghanns, S. Kemper, K. Gómez, N. Teichmann, and E. Rahm. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), page 1316--1319. (December 2016)
a month ago by @scadsfct
show all tags
Data
Intelligence
Mining;Business
algorithms;Conferences;Graph
analysis;Data
and
design
mining;Business;Algorithm
models;Libraries;Partitioning
DataIntelligenceMining;Businessalgorithms;Conferences;Graphanalysis;Dataanddesignmining;Business;Algorithmmodels;Libraries;Partitioning
(0)
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1Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D. Nam, J. Chapiro, V. Paradis, T. Seraphin, and J. Kather. JHEP Rep., 4 (4): 100443 (April 2022)
2 months ago by @scadsfct
show all tags
AI,
Artificial
CNN,
Communications
DICOM,
Diagnosis;
Digital
HCC,
Imaging
Individual
ML,
MVI,
Medicine;
NAFLD,
NASH,
Prognosis
Reporting
TACE,
TRIPOD,
Transparent
WSIs,
a
and
artificial
carcinoma;
chemoembolisation;
convolutional
data
deep
diagnostic
disease;
fatty
for
hepatocellular
images;
imaging;
in
integration
intelligence;
invasion;
learning;
liver
machine
microvascular
model
multimodal
multivariable
network;
neural
non-alcoholic
of
or
prediction
slide
steatohepatitis;
support
system;
transarterial
whole
AI,ArtificialCNN,CommunicationsDICOM,Diagnosis;DigitalHCC,ImagingIndividualML,MVI,Medicine;NAFLD,NASH,PrognosisReportingTACE,TRIPOD,TransparentWSIs,aandartificialcarcinoma;chemoembolisation;convolutionaldatadeepdiagnosticdisease;fattyforhepatocellularimages;imaging;inintegrationintelligence;invasion;learning;livermachinemicrovascularmodelmultimodalmultivariablenetwork;neuralnon-alcoholicoforpredictionslidesteatohepatitis;supportsystem;transarterialwhole
(0)
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1Multi-source dataset of e-commerce products with attributes for property matching
D. Ayala, I. Hernández, D. Ruiz, and E. Rahm. Data Brief, 41 (107884): 107884 (April 2022)
2 months ago by @scadsfct
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Data
Ontology;
Property
engineering;
integration;
matching
DataOntology;Propertyengineering;integration;matching
(0)
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1Automated algorithm selection: Survey and perspectives
P. Kerschke, H. Hoos, F. Neumann, and H. Trautmann. Evol. Comput., 27 (1): 3--45 (2019)
2 months ago by @scadsfct
show all tags
Automated
algorithm
analysis;
approaches;
automated
combinatorial
configuration;
continuous
data
exploratory
feature-based
landscape
learning;
machine
metalearning
optimisation;
selection;
streams.;
Automatedalgorithmanalysis;approaches;automatedcombinatorialconfiguration;continuousdataexploratoryfeature-basedlandscapelearning;machinemetalearningoptimisation;selection;streams.;
(0)
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1Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis
D. Esteves, A. Rula, A. Reddy, and J. Lehmann. J. Data and Information Quality, (February 2018)
2 months ago by @scadsfct
show all tags
DeFacto,
analysis
benchmark,
checking,
data
data,
exploratory
fact
linked
quality,
trustworthiness,
DeFacto,analysisbenchmark,checking,datadata,exploratoryfactlinkedquality,trustworthiness,
(0)
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1Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology
K. Hoffmann, K. Cazemier, C. Baldow, S. Schuster, Y. Kheifetz, S. Schirm, M. Horn, T. Ernst, C. Volgmann, C. Thiede and 7 other author(s). BMC Med. Inform. Decis. Mak., 20 (1): 28 (February 2020)
2 months ago by @scadsfct
show all tags
Clinical
Computer
Data
Haematology;
Individual
Mathematical
Model-based
Routine
Support
decision-making;
management;
modelling;
optimization;
planning;
simulation;
system
therapy
treatment
workflow;
ClinicalComputerDataHaematology;IndividualMathematicalModel-basedRoutineSupportdecision-making;management;modelling;optimization;planning;simulation;systemtherapytreatmentworkflow;
(0)
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1ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets
K. Schultz, S. Bej, W. Hahn, M. Wolfien, P. Srivastava, and O. Wolkenhauer. Pattern Recognition, (2024)
2 months ago by @scadsfct
show all tags
Convex
GAN,
Imbalanced
LoRAS,
Tabular
data
data,
learning,
space
ConvexGAN,ImbalancedLoRAS,Tabulardatadata,learning,space
(0)
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1Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis
A. Akshay, M. Katoch, N. Shekarchizadeh, M. Abedi, A. Sharma, F. Burkhard, R. Adam, K. Monastyrskaya, and A. Gheinani. Gigascience, (January 2024)
2 months ago by @scadsfct
show all tags
AutoML;
analysis;
classification
data
learning;
machine
problems;
visualization
AutoML;analysis;classificationdatalearning;machineproblems;visualization
(0)
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1Ten topics to get started in medical informatics research
M. Wolfien, N. Ahmadi, K. Fitzer, S. Grummt, K. Heine, I. Jung, D. Krefting, A. Kühn, Y. Peng, I. Reinecke and 7 other author(s). J. Med. Internet Res., (July 2023)
2 months ago by @scadsfct
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clinical
communication;
data
data;
digital
health
health;
informatics;
interdisciplinary
medical
research
clinicalcommunication;datadata;digitalhealthhealth;informatics;interdisciplinarymedicalresearch
(0)
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1Methods used in the development of common data models for health data: Scoping review
N. Ahmadi, M. Zoch, P. Kelbert, R. Noll, J. Schaaf, M. Wolfien, and M. Sedlmayr. JMIR Med. Inform., (August 2023)
2 months ago by @scadsfct
show all tags
;
Data
Development
Healthcare
Healthcare;
Informatics
Informatics;
Interoperability
Interoperability;
Medical
Observational
Outcomes
Partnership
Partnership;
Process
Process;
Repositories
Repositories;
Standardized
Suggestive
common
data
data;
electronic
elements
elements;
harmonisation
harmonisation;
health
involvement
model
model;
record
record;
stakeholder
;DataDevelopmentHealthcareHealthcare;InformaticsInformatics;InteroperabilityInteroperability;MedicalObservationalOutcomesPartnershipPartnership;ProcessProcess;RepositoriesRepositories;StandardizedSuggestivecommondatadata;electronicelementselements;harmonisationharmonisation;healthinvolvementmodelmodel;recordrecord;stakeholder
(0)
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publications (hide)14
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1Stability selection enables robust learning of partial differential equations from limited noisy data

1Graph Mining for Complex Data Analytics

1Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

1Multi-source dataset of e-commerce products with attributes for property matching

1Automated algorithm selection: Survey and perspectives

1Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis

1Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology

1ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets

1Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis

1Ten topics to get started in medical informatics research

1Methods used in the development of common data models for health data: Scoping review

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