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1The Impact of Cloud Computing in Promoting Economic Growth through SMEs in the United States
O. Hassan, O. Aderibigbe, O. Efijemue, and T. Onasanya. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, page 906--908. New York, NY, USA, ACM, (2024)
6 months ago by @shamerjose
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data
network
information
datanetworkinformation
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1Streamlining Data Collection eCRF Design and Machine Learning
D. Kannareddy. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 830-834 (February 2024)
8 months ago by @ijtsrd
show all tags
anomaly
Report
design,
data
collection
quality,
Electronic
collection,
Case
clinical
validation,
real-time
learning,
detection,
machine
Forms,
adaptability,
streamlined
trials,
eCRF
anomalyReportdesign,datacollectionquality,Electroniccollection,Caseclinicalvalidation,real-timelearning,detection,machineForms,adaptability,streamlinedtrials,eCRF
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1A deep learning approach for the 3D reconstruction of dust density and temperature in star-forming regions
V. Ksoll, S. Reissl, R. Klessen, I. Stephens, R. Smith, J. Soler, A. Traficante, L. Testi, P. Hennebelle, and S. Molinari. (2023)cite arxiv:2308.09657Comment: 32 pages, 18 figures, submitted to Astronomy & Astrophysics, comments welcome.
a year ago by @fboulang
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data
data
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1Data-driven longitudinal characterization of neonatal health and morbidity
D. Francesco, J. Reiss, J. Roger, A. Tang, A. Chang, M. Becker, T. Phongpreecha, C. Espinosa, S. Morin, E. Berson and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)
2 years ago by @becker
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myown
project:2023-tracking
data
health
neonatal
paper:fastcor
longitudinal
myownproject:2023-trackingdatahealthneonatalpaper:fastcorlongitudinal
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1Multifractal detrended moving average analysis of Kepler stars with surface differential rotation traces
D. de Freitas, M. Nepomuceno, J. Cordeiro, M. Chagas, and J. Medeiros. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 488 (3): 3274-3297 (2019)
2 years ago by @ppgfis_ufc_br
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rotation;
{methods:
stars:
solar-type}
data
analysis;
rotation;{methods:stars:solar-type}dataanalysis;
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1New Suns in the Cosmos. V. Stellar Rotation and Multifractality in Active Kepler Stars
D. de Freitas, M. Nepomuceno, L. Rios, M. Chagas, and J. Medeiros. ASTROPHYSICAL JOURNAL, (2019)
2 years ago by @ppgfis_ufc_br
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solar-type;
{methods:
stars:
rotation}
data
analysis;
activity;
Sun:
solar-type;{methods:stars:rotation}dataanalysis;activity;Sun:
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1Stellar cycles from photometric data: CoRoT stars
C. Lopes, I. Leao, D. de Freitas, B. Martins, M. Catelan, and J. Medeiros. ASTRONOMY & ASTROPHYSICS, (2015)
2 years ago by @ppgfis_ufc_br
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{dynamo;
evolution}
methods:
stars:
data
analysis;
activity;
Sun:
fields;
magnetic
{dynamo;evolution}methods:stars:dataanalysis;activity;Sun:fields;magnetic
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1A wavelet analysis of photometric variability in Kepler white dwarf stars
S. de Lira, J. Bravo, I. Leao, A. da Costa, B. Martins, D. de Freitas, and J. Medeiros. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 484 (3): 3935-3940 (2019)
2 years ago by @ppgfis_ufc_br
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methods:
techniques:
white
dwarfs;
data
analysis;
photometric}
{stars:
methods:techniques:whitedwarfs;dataanalysis;photometric}{stars:
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1New Suns in the Cosmos. IV. The Multifractal Nature of Stellar Magnetic Activity in Kepler Cool Stars
D. de Freitas, M. Nepomuceno, M. de Souza, I. Leao, M. Chagas, A. Costa, B. Martins, and J. Medeiros. ASTROPHYSICAL JOURNAL, (2017)
2 years ago by @ppgfis_ufc_br
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solar-type;
{methods:
stars:
rotation}
data
analysis;
activity;
Sun:
solar-type;{methods:stars:rotation}dataanalysis;activity;Sun:
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1NEW SUNS IN THE COSMOS. III. MULTIFRACTAL SIGNATURE ANALYSIS
D. de Freitas, M. Nepomuceno, P. de Moraes Junior, C. Lopes, M. Chagas, J. Bravo, A. Costa, B. Martins, J. Medeiros, and I. Leao. ASTROPHYSICAL JOURNAL, (2016)
2 years ago by @ppgfis_ufc_br
show all tags
rotation;
solar-type;
{methods:
stars:
rotation}
data
analysis;
Sun:
rotation;solar-type;{methods:stars:rotation}dataanalysis;Sun:
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1NEW SUNS IN THE COSMOS?
D. de Freitas, I. Leao, C. Lopes, F. Paz-Chinchon, B. Martins, S. Alves, J. Medeiros, and M. Catelan. ASTROPHYSICAL JOURNAL LETTERS, (2013)
2 years ago by @ppgfis_ufc_br
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rotation;
solar-type;
{methods:
stars:
rotation}
data
analysis;
variables:
Sun:
general;
rotation;solar-type;{methods:stars:rotation}dataanalysis;variables:Sun:general;
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1Robust Model Fitting Using Higher Than Minimal Subset Sampling
R. Tennakoon, A. Bab-Hadiashar, Z. Cao, R. Hoseinnezhad, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (2): 350-362 (February 2016)
3 years ago by @dsuter
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hypotheses;robust
segmentation;higher
models;Estimation
modeling;Cost
Statistics;data
data
error;Noise;Robustness;Model
structures;sampling
sampling;Analytical
models;Computational
fitting;Robust
minimal
sampling;hypothesis
generation;robust
fitting;subset
than
function;Data
model
structure;hypothesis
sampling;noise
methods;data
subset
statistics
generation;minimal
hypotheses;robustsegmentation;highermodels;Estimationmodeling;CostStatistics;datadataerror;Noise;Robustness;Modelstructures;samplingsampling;Analyticalmodels;Computationalfitting;Robustminimalsampling;hypothesisgeneration;robustfitting;subsetthanfunction;Datamodelstructure;hypothesissampling;noisemethods;datasubsetstatisticsgeneration;minimal
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1Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
H. Wang, G. Xiao, Y. Yan, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41 (3): 697-711 (March 2019)
3 years ago by @dsuter
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models;Geometric
data
complexity;Analytical
construction;mode-seeking;multi-structure
Data
fitting;hypergraph
modeling;Robustness;Fitting;Computer
model
models;Computational
vision;Computational
models;Geometricdatacomplexity;Analyticalconstruction;mode-seeking;multi-structureDatafitting;hypergraphmodeling;Robustness;Fitting;Computermodelmodels;Computationalvision;Computational
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2Fast Point Cloud Registration using Semantic Segmentation
G. Truong, S. Gilani, S. Islam, and D. Suter. 2019 Digital Image Computing: Techniques and Applications (DICTA), page 1-8. (December 2019)DST Best Science Paper Award.
3 years ago by @dsuter
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registration;deep
algorithm;visual
(artificial
data
learning;semantic
registration;image
graphics;image
scale
learning;point
sets;optimal
intelligence);point
point
cloud
registration;point-cloud
computer
information;deep
segmentation;large
data;semantic
matches;semantic
data-sets;point
segmentation;learning
data;large
segmentation
registration
registration;deepalgorithm;visual(artificialdatalearning;semanticregistration;imagegraphics;imagescalelearning;pointsets;optimalintelligence);pointpointcloudregistration;point-cloudcomputerinformation;deepsegmentation;largedata;semanticmatches;semanticdata-sets;pointsegmentation;learningdata;largesegmentationregistration
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2Robust Data Modelling Using Thin Plate Splines
R. Tennakoon, A. Bab-Hadiashar, D. Suter, and Z. Cao. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), page 1-8. (November 2013)
3 years ago by @dsuter
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models;Mathematical
statistical
model;Robustness;Splines
data
splines;Computational
vision;splines
plate
(mathematics)
spline
vision;least
(mathematics);computer
modelling;robust
computer
vision;Cost
fitting;pseudo-outliers;robust
K-th
function;Data
model
modeling;Computer
order
techniques;thin
fitting
models;Mathematicalstatisticalmodel;Robustness;Splinesdatasplines;Computationalvision;splinesplate(mathematics)splinevision;least(mathematics);computermodelling;robustcomputervision;Costfitting;pseudo-outliers;robustK-thfunction;Datamodelmodeling;Computerordertechniques;thinfitting
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1A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006
M. Haylock, N. Hofstra, A. Klein Tank, E. Klok, P. Jones, and M. New. Journal of Geophysical Research Atmospheres, 113 (20): D20119 (2008)
3 years ago by @msteininger
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data
E-OBS,Europe,data,observation
dataE-OBS,Europe,data,observation
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3Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality
C. Sandrock, M. Herde, A. Calma, D. Kottke, and B. Sick. International Joint Conference on Neural Networks (IJCNN), page 1--8. IEEE, (2019)
3 years ago by @ies
show all tags
confidences;{\gamma}-
confidence
(artificial
evaluation;probabilistic
likelihood
estimation;pattern
outputs;intelligent
mining;learning
quality;class
vote;label
models;{\beta}-confidence
classification;probability;multiple
annotators;multiple
assignment;self-reported
machines
posses
model;nonnormalized
levels;{\alpha}-confidence;benevolent
confidences;numerical
data
annotators;expertise
uncertain
intelligence);maximum
evaluation;graphical
majority
weighted
different
annotators;confidence
confidences;{\gamma}-confidence(artificialevaluation;probabilisticlikelihoodestimation;patternoutputs;intelligentmining;learningquality;classvote;labelmodels;{\beta}-confidenceclassification;probability;multipleannotators;multipleassignment;self-reportedmachinespossesmodel;nonnormalizedlevels;{\alpha}-confidence;benevolentconfidences;numericaldataannotators;expertiseuncertainintelligence);maximumevaluation;graphicalmajorityweighteddifferentannotators;confidence
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1Mining Association Rules between Sets of Items in Large Databases
A. KrishnaKumar, D. Amrita, and N. Priya. International Journal of Innovative Science and Modern Engineering (IJISME), 1 (5): 24-27 (April 2013)
3 years ago by @ijisme_beiesp
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exploration
Clustering
management
data
and
association
discovery
interactive
rules
knowledge
applications.
classification
explorationClusteringmanagementdataandassociationdiscoveryinteractiverulesknowledgeapplications.classification
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1A Probability Review of Missing MH 370 (A Hypothetical Approach)
M. Siva, M. Madhan, D. Ramkumar, S. Mylsamy, and N. Aswin. International Journal of Innovative Science and Modern Engineering (IJISME), 2 (10): 32-33 (September 2014)
3 years ago by @ijisme_beiesp
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Theoretical
approach
Technical
Hijack
Probability
Data
MH
370
TheoreticalapproachTechnicalHijackProbabilityDataMH370
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1Image to Image Encoder using Least Significant Bit
S. D. International Journal of Trend in Scientific Research and Development, 5 (4): 369-372 (June 2021)
3 years ago by @ijtsrd
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Steganography
Cover
Security
Digital
Data
Decoding
Encoding
Image
Secret
SteganographyCoverSecurityDigitalDataDecodingEncodingImageSecret
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publications (hide)346
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1The Impact of Cloud Computing in Promoting Economic Growth through SMEs in the United States

1Streamlining Data Collection eCRF Design and Machine Learning

1A deep learning approach for the 3D reconstruction of dust density and temperature in star-forming regions

1Data-driven longitudinal characterization of neonatal health and morbidity

1Multifractal detrended moving average analysis of Kepler stars with surface differential rotation traces

1New Suns in the Cosmos. V. Stellar Rotation and Multifractality in Active Kepler Stars

1Stellar cycles from photometric data: CoRoT stars

1A wavelet analysis of photometric variability in Kepler white dwarf stars

1New Suns in the Cosmos. IV. The Multifractal Nature of Stellar Magnetic Activity in Kepler Cool Stars

1NEW SUNS IN THE COSMOS. III. MULTIFRACTAL SIGNATURE ANALYSIS

1NEW SUNS IN THE COSMOS?

1Robust Model Fitting Using Higher Than Minimal Subset Sampling

1Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

2Fast Point Cloud Registration using Semantic Segmentation

2Robust Data Modelling Using Thin Plate Splines

1A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006

3Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality

1Mining Association Rules between Sets of Items in Large Databases

1A Probability Review of Missing MH 370 (A Hypothetical Approach)

1Image to Image Encoder using Least Significant Bit

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publications (hide)346
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