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2Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks
A. Marcolongo, M. Vladymyrov, S. Lienert, N. Peleg, S. Haug, and J. Zscheischler. Environmental Data Science, (2022)
8 hours ago by @scadsfct
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Convolutional
Networks
Neural
Predicting
data
gross
low
primary
production
weather
ConvolutionalNetworksNeuralPredictingdatagrosslowprimaryproductionweather
(0)
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2Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.
M. Bauer, and C. Augenstein. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, volume 35 of FedCSIS 2023, page 93–101. IEEE, (September 2023)
a day ago by @scadsfct
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Comparative
Computer
Data
Learning
Self-Supervised
Study
Unlabelled
Vision.
ComparativeComputerDataLearningSelf-SupervisedStudyUnlabelledVision.
(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)
a day ago by @scadsfct
show all tags
Convex
GAN
Imbalanced
LoRAS
Tabular
data
learning
space
ConvexGANImbalancedLoRASTabulardatalearningspace
(0)
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1TmoTA: Simple, Highly Responsive Tool for Multiple Object Tracking Annotation
{. Oyshi, S. Vogt, and S. Gumhold. CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, (Apr 19, 2023)Publisher Copyright: © 2023 ACM.; CHI Conference on Human Factors in Computing Systems 2023, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023.
13 days ago by @scadsfct
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topic_visualcomputing
FIS_scads
data
labeling
labeling,
manual
sequence
video
topic_visualcomputingFIS_scadsdatalabelinglabeling,manualsequencevideo
(0)
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1PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis
W. Luo, Z. Yu, R. Rzayev, M. Satkowski, S. Gumhold, M. McGinity, and R. Dachselt. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, (Apr 19, 2023)Publisher Copyright: © 2023 Owner/Author..
13 days ago by @scadsfct
show all tags
topic_visualcomputing
Analytics,
FIS_scads
Immersive
In-situ
affordance,
analysis,
augmented/mixed
data
movement
physical
reality,
referents,
visualization
topic_visualcomputingAnalytics,FIS_scadsImmersiveIn-situaffordance,analysis,augmented/mixeddatamovementphysicalreality,referents,visualization
(0)
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1Parallel Discrete Convolutions on Adaptive Particle Representations of Images
J. Jonsson, {. Cheeseman, S. Maddu, K. Gonciarz, and {. Sbalzarini. IEEE Transactions on Image Processing, (Jan 1, 2022)Publisher Copyright: © 1992-2012 IEEE..
13 days ago by @scadsfct
show all tags
topic_lifescience
Convolution,
Data
FIS_scads
Image
Microscopy,
Signal
processing,
reconstruction,
resolution
resolution,
structures,
topic_lifescienceConvolution,DataFIS_scadsImageMicroscopy,Signalprocessing,reconstruction,resolutionresolution,structures,
(0)
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1Graph based process models as basis for efficient data driven surrogates - Expediting the material development process
J. Gerritzen, A. Hornig, and M. Gude. WorkingPaper, Open Engineering Inc., (Nov 16, 2024)
13 days ago by @scadsfct
show all tags
topic_engineering
Data
FIS_scads
Process
Surrogate
decision
development,
driven
making
modeling,
topic_engineeringDataFIS_scadsProcessSurrogatedecisiondevelopment,drivenmakingmodeling,
(0)
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1A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study
E. Williams, M. Kienast, E. Medawar, J. Reinelt, A. Merola, S. Klopfenstein, A. Flint, P. Heeren, A. Poncette, F. Balzer and 2 other author(s). JMIR Medical Informatics, (2023)
28 days ago by @scadsfct
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topic_neuroinspired
(fhir-dhp)
ai
application
clinical
data
deployment
harmonization
pipeline
scalable
standardized
topic_neuroinspired(fhir-dhp)aiapplicationclinicaldatadeploymentharmonizationpipelinescalablestandardized
(0)
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1A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters
J. Gerritzen, A. Hornig, B. Gröger, and M. Gude. Journal of Composites Science, 6 (10): 318 (2022)
28 days ago by @scadsfct
show all tags
topic_engineering
3D
Approach
Characterisation
Composites
Data
Deformation
Dependent
Driven
Experimental
Failure
Fibre
Modelling
Rate
Reinforced
Shear
Strain
Thermoplastic
topic_engineering3DApproachCharacterisationCompositesDataDeformationDependentDrivenExperimentalFailureFibreModellingRateReinforcedShearStrainThermoplastic
(0)
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1Breaking Barriers: Workshop on Open Data Practices in AutoUI Research
P. Ebel, P. Bazilinskyy, A. Hwang, W. Ju, H. Sandhaus, A. Srinivasan, Q. Yang, and P. Wintersberger. Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, page 227--230. (2023)
28 days ago by @scadsfct
show all tags
topic_visualcomputing
AutoUI
Data
Open
Practices
Research
Workshop
topic_visualcomputingAutoUIDataOpenPracticesResearchWorkshop
(0)
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1Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces
P. Ebel, K. Gülle, C. Lingenfelder, and A. Vogelsang. Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, page 81--92. (2023)
28 days ago by @scadsfct
show all tags
topic_visualcomputing
Analytics
Automotive
Big
Data
ICEBOAT
Interactions
Interfaces
User
topic_visualcomputingAnalyticsAutomotiveBigDataICEBOATInteractionsInterfacesUser
(0)
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1Destination Prediction Based on Partial Trajectory Data
P. Ebel, I. Göl, C. Lingenfelder, and A. Vogelsang. (2020)
29 days ago by @scadsfct
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Based
Data
Destination
Partial
Prediction
Trajectory
on
BasedDataDestinationPartialPredictionTrajectoryon
(0)
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1ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces
P. Ebel, K. Gülle, C. Lingenfelder, and A. Vogelsang. Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, New York, NY, USA, Association for Computing Machinery, (2022)
29 days ago by @scadsfct
show all tags
topic_visualcomputing
Data
Design
Driving
Human-Computer
In-Vehicle
Information
Interaction
Naturalistic
System
Tools
Visualization
topic_visualcomputingDataDesignDrivingHuman-ComputerIn-VehicleInformationInteractionNaturalisticSystemToolsVisualization
(0)
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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)
2 months 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)
2 months 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)
3 months ago by @scadsfct
show all tags
topic_lifescience
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
topic_lifescienceAI,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)
3 months ago by @scadsfct
show all tags
area_bigdata
integration;
engineering;
Data
Ontology;
Property
matching
area_bigdataintegration;engineering;DataOntology;Propertymatching
(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)
3 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)
3 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)
3 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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publications (hide)21
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2Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks

2Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

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

1TmoTA: Simple, Highly Responsive Tool for Multiple Object Tracking Annotation

1PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis

1Parallel Discrete Convolutions on Adaptive Particle Representations of Images

1Graph based process models as basis for efficient data driven surrogates - Expediting the material development process

1A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study

1A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters

1Breaking Barriers: Workshop on Open Data Practices in AutoUI Research

1Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces

1Destination Prediction Based on Partial Trajectory Data

1ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces

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

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