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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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1If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level
M. Wiegmann, J. Rakete, M. Wolska, B. Stein, and M. Potthast. (2024)
a month ago by @scadsfct
show all tags
(cs.CL),
(cs.CY),
Computation
Computer
Computers
FOS:
Language
Society
and
information
sciences
sciences,
(cs.CL),(cs.CY),ComputationComputerComputersFOS:LanguageSocietyandinformationsciencessciences,
(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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1Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants
S. Mukherjee, T. Cassini, N. Hu, T. Yang, B. Li, W. Shen, C. Moth, D. Rinker, J. Sheehan, J. Cogan and 8 other author(s). Human Genetics and Genomics Advances, 3 (4): 100131 (2022)
a month ago by @scadsfct
show all tags
DEE,
Diseases
KCNC2,
Network,
Undiagnosed
and
biology,
developmental
disease
dynamics
electrophysiology,
encephalopathy,
epileptic
interpretation,
molecular
personalized
rare
simulations,
structural
variant
variant,
DEE,DiseasesKCNC2,Network,Undiagnosedandbiology,developmentaldiseasedynamicselectrophysiology,encephalopathy,epilepticinterpretation,molecularpersonalizedraresimulations,structuralvariantvariant,
(0)
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1Modeling Proficiency with Implicit User Representations
K. Breitwieser, A. Lahnala, C. Welch, L. Flek, and M. Potthast. (2021)
a month ago by @scadsfct
show all tags
(cs.CL),
Computation
Computer
FOS:
Language
and
information
sciences
sciences,
(cs.CL),ComputationComputerFOS:Languageandinformationsciencessciences,
(0)
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1A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic
M. Bromberger, I. Dragoste, R. Faqeh, C. Fetzer, L. González, M. Krötzsch, M. Marx, H. Murali, and C. Weidenbach. (2022)
2 months ago by @scadsfct
show all tags
(cs.LO),
Computer
FOS:
Logic
Science
and
in
information
sciences
sciences,
(cs.LO),ComputerFOS:LogicScienceandininformationsciencessciences,
(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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1Classification of hyperspectral endocrine tissue images using support vector machines
M. Maktabi, H. Köhler, M. Ivanova, T. Neumuth, N. Rayes, L. Seidemann, R. Sucher, B. Jansen-Winkeln, I. Gockel, M. Barberio and 1 other author(s). Int. J. Med. Robot., 16 (5): 1--10 (October 2020)
2 months ago by @scadsfct
show all tags
and
assisted
computer
guided
head
imaged
imaging;
intraoperative
neck;
surgery;
thyroidectomy
andassistedcomputerguidedheadimagedimaging;intraoperativeneck;surgery;thyroidectomy
(0)
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1Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer
S. Brockmoeller, A. Echle, N. Ghaffari Laleh, S. Eiholm, M. Malmstrøm, T. Plato Kuhlmann, K. Levic, H. Grabsch, N. West, O. Saldanha and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)
2 months ago by @scadsfct
show all tags
AI;
LNM
adipose
and
artificial
biomarker;
bowel
cancer;
colorectal
deep
digital
early
inflamed
intelligence;
learning;
metastasis;
new
pT1
pT2
pathology;
prediction
predictive
tissue;
AI;LNMadiposeandartificialbiomarker;bowelcancer;colorectaldeepdigitalearlyinflamedintelligence;learning;metastasis;newpT1pT2pathology;predictionpredictivetissue;
(0)
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1Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support
J. Gaebel, H. Wu, A. Oeser, M. Cypko, M. Stoehr, A. Dietz, T. Neumuth, S. Franke, and S. Oeltze-Jafra. Artif. Intell. Med., 104 (101842): 101842 (April 2020)
2 months ago by @scadsfct
show all tags
Arden
Decision
Head
Medical
Therapy
and
decision
delay;
logic
model
modules;
neck
oncology;
support
syntax;
system;
ArdenDecisionHeadMedicalTherapyanddecisiondelay;logicmodelmodules;neckoncology;supportsyntax;system;
(0)
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